query_01

#$&*

course Mth 173

If your solution to stated problem does not match the given solution, you should self-critique per instructions at

http://vhcc2.vhcc.edu/dsmith/geninfo/labrynth_created_fall_05/levl1_22/levl2_81/file3_259.htm

.

Your solution, attempt at solution.

If you are unable to attempt a solution, give a phrase-by-phrase interpretation of the problem along with a statement of what you do or do not understand about it. This response should be given, based on the work you did in completing the assignment, before you look at the given solution.

""

001. `query1

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Question: `qFor the temperature vs. clock time model, what were temperature and time for the first, third and fifth data points (express as temp vs clock time ordered pairs)?

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Your solution:

For temp vs clock time graph the first data points was ( 0 , 95 ) , the third data point ( 20 , 60 ) and the fifth data point was ( 40 , 41 ).

confidence rating #$&*: 3

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Given Solution:

** Continue to the next question **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qAccording to your graph what would be the temperatures at clock times 7, 19 and 31?

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Your solution:

According to my graph the temperature at clock times 7, 19 and 31 were 82 C, 64 C and 48 C respectively.

confidence rating #$&*: 3

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Given Solution:

** Continue to the next question **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qWhat three points did you use as a basis for your quadratic model (express as ordered pairs)?

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Your solution:

The 3 points that I used as a basis for my quadratic model were ( 10 , 75 ) , ( 30 , 49 ) and ( 50 , 35 ) respectively.

confidence rating #$&*:

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Given Solution:

** A good choice of points `spreads' the points out rather than using three adjacent points. For example choosing the t = 10, 20, 30 points would not be a good idea here since the resulting model will fit those points perfectly but by the time we get to t = 60 the fit will probably not be good. Using for example t = 10, 30 and 60 would spread the three points out more and the solution would be more likely to fit the data. The solution to this problem by a former student will be outlined in the remaining nswers'.

STUDENT SOLUTION (this student probably used a version different from the one you used; this solution is given here for comparison of the steps, you should not expect that the numbers given here will be the same as the numbers you obtained when you solved the problem.)

For my quadratic model, I used the three points

(10, 75)

(20, 60)

(60, 30). **

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Self-critique (if necessary): 3

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Self-critique Rating: OK

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Question: `qWhat is the first equation you got when you substituted into the form of a quadratic?

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Your solution:

On substituting point (10, 75) into the form of quadratic the equation obtained was

75 = 100a + 10b + c

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: The equation that I got from the first data point (10, 75) was 100a + 10b +c = 75. **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qWhat is the second equation you got when you substituted into the form of a quadratic?

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Your solution:

On substituting (30, 49) the equation obtained was

49 = 900a + 30b + c

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: The equation that I got from my second data point was 400a + 20b + c = 60 **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qWhat is the third equation you got when you substituted into the form of a quadratic?

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Your solution:

The third equation obtained on substituting (50, 35) in the quadratic form was

35 = 2500a + 50b + c

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: The equation that I got from my third data point was 3600a + 60b + c = 30. **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qWhat multiple of which equation did you first add to what multiple of which other equation to eliminate c, and what is the first equation you got when you eliminated c?

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Your solution:

On subtracting the first equation from second I could eliminate c and obtain the equation

26 = -800a - 20b

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: First, I subtracted the second equation from the third equation in order to eliminate c.

By doing this, I obtained my first new equation

3200a + 40b = -30. **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `to get the second equation what multiple of which equation did you add to what multiple of which other equation, and what is the resulting equation?

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Your solution:

On subtracting the third equation from second we eliminate c and obtain the equation

- 14 = 1600a + 20b

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: This time, I subtracted the first equation from the third equation in order to again eliminate c.

I obtained my second new equation:

3500a + 50b = -45**

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `which variable did you eliminate from these two equations, and what was the value of the variable for which you solved these equations?

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Your solution:

The equations obtained are

-26 = 800a + 20b

-14 = 1600a + 20b

Both the equations had 20b common, thus I eliminated variable b by subtracting one equation from the other.

Upon subtracting what I obtain for variable a is

12 = 800a

Thus a = 0.015

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: In order to solve for a and b, I decided to eliminate b because of its smaller value. In order to do this, I multiplied the first new equation by -5

-5 ( 3200a + 40b = -30)

and multiplied the second new equation by 4

4 ( 3500a + 50b = -45)

making the values of -200 b and 200 b cancel one another out. The resulting equation is -2000 a = -310. **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qWhat equation did you get when you substituted this value into one of the 2-variable equations, and what did you get for the other variable?

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Your solution:

I obtained a = 0.015 in the previous step. On substituting the value of a in the equation -26 = 800a + 20b I obtained value of b as

-26 = 800*0.015 + 20b

20b = -38 , b = -1.9

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: After eliminating b, I solved a to equal .015

a = .015

I then substituted this value into the equation

3200 (.015) + 40b = -30

and solved to find that b = -1.95. **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qWhat is the value of c obtained from substituting into one of the original equations?

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Your solution:

We obtained the value of a and b as 0.015 and -1.9 respectively.

On substituting these values in the equation 75 = 100a + 10b + c

We obtain c = 75 - 100a - 10b = 75 - 1.5 + 19 = 92.5

Thus we obtain all the parameters as a = 0.015, b = -1.9 and c = 92.5

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: By substituting both a and b into the original equations, I found that c = 93 **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qWhat is the resulting quadratic model?

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Your solution:

The resulting quadratic expression is

y = (0.015)x^2 - 1.9(x) + 92.5

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: Therefore, the quadratic model that I obtained was

y = (.015) x^2 - (1.95)x + 93. **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qWhat did your quadratic model give you for the first, second and third clock times on your table, and what were your deviations for these clock times?

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Your solution:

The first, second, and third clock times on the table are 0, 10 and 20. The quadratic model obtained is y =0.015(x^2) - 1.9(x) + 92.5 where x is the time in minutes

And y is the temperature. Thus for

Time 0 sec

y = 0.015*0 - 1.9*0 + 92.5 = 92.5

Time 10 sec

y = 0.015*10*10 - 1.9*10 + 92.5 = 1.5 - 19 + 92.5 = 75

And time 20 sec

y = 0.015*20*20 - 1.9*20 + 92.5 = 60.5

The data temperature for the same time are 95, 75 and 60 respectively

Thus the deviations are -2.5, 0 and 0.5 respectively.

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: This model y = (.015) x^2 - (1.95) x + 93 evaluated for clock times 0, 10 and 20 gave me these numbers:

First prediction: 93

Deviation: 2

Then, since I used the next two ordered pairs to make the model, I got back

}the exact numbers with no deviation. So. the next two were

Fourth prediction: 48

Deviation: 1

Fifth prediction: 39

Deviation: 2. **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qWhat was your average deviation?

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Your solution:

My deviations for the temperatures at the various points were -2.5 , 0 , 0.5 , 0 , -0.5 , 0 , 2.5 , 7 respectively for times 0 , 10 , 20 , 30 , 40 , 50 , 60 , 70. Thus the total deviation was 7 and the total time quantities are 8, thus the average deviation turned out to be 7/8 = 0.875

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: My average deviation was .6 **

Self-critique (if necessary) OK

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Self-critique Rating: OK

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Question: `qIs there a pattern to your deviations?

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Your solution:

According to my previous knowledge about deviations it should have one. I did find a pattern in the values of the deviations, the deviations repeated itself with the sign reversed over a period, higher the value greater the period. For the sign of the deviations I obtained them as negative, then positive then again negative then again positive. Possibly it changes its sign after the time that I choose to prepare the mathematical model.

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: There was no obvious pattern to my deviations.

INSTRUCTOR NOTE: Common patterns include deviations that start positive, go negative in the middle then end up positive again at the end, and deviations that do the opposite, going from negative to positive to negative. **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qHave you studied the steps in the modeling process as presented in Overview, the Flow Model, Summaries of the Modeling Process, and do you completely understand the process?

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Your solution:

Yes I have studied each and every step presented in the overview, the flow model, summaries of the modeling process and I do understand it completely.

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: Yes, I do completely understand the process after studying these outlines and explanations. **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qHave you memorized the steps of the modeling process, and are you gonna remember them forever? Convince me.

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Your solution:

Yes I have memorized the steps and I am going to remember them forever.

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: Yes, sir, I have memorized the steps of the modeling process at this point. I also printed out an outline of the steps in order to refresh my memory often, so that I will remember them forever!!!

INSTRUCTOR COMMENT: OK, I'm convinced. **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qQuery Completion of Model first problem: Completion of model from your data.Give your data in the form of depth vs. clock time ordered pairs.

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Your solution:

The data points obtained from the stimulated data on the homepage under version 1 are taken which are

( 5.3 , 63.7 )

(10.6 , 54.8 )

(15.9 , 46 )

(21.2 , 37.7 )

(26.5, 32)

(31.8, 26.6)

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION: Here are my data which are from the simulated data provided on the website under randomized problems.

(5.3, 63.7)

(10.6. 54.8)

(15.9, 46)

(21.2, 37.7)

(26.5, 32)

(31.8, 26.6). **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qWhat three points on your graph did you use as a basis for your model?

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Your solution:

The 3 points that I chose for my graph are

(5.3 , 63.7 ) , ( 15.9 , 46 ) and ( 26.5 , 32 ) since rest other have depth values in decimals which is difficult to handle , whole numbers are pretty easier to handle with.

@&

Given the uncertainties in the data and the significant deviations from ideal behavior, your three-siginificant-figure approximation is completely appropriate.

*@

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: As the basis for my graph, I used

(5.3, 63.7)

(15.9, 46)

(26.5, 32)**

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qGive the first of your three equations.

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Your solution:

The first equation is obtained by substituting (5.3, 63.7) into the quadratic form.

The first equation is 63.7 = 28.09a + 5.3b + c

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: The point (5.3, 63.7) gives me the equation 28.09a + 5.3b + c = 63.7 **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `give the second of your three equations.

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Your solution:

The second equation is obtained by substituting (15.9, 46) into the quadratic form.

The second equation is 46 = 252.81a + 15.9b + c

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: The point (15.9, 46) gives me the equation 252.81a +15.9b + c = 46 **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qGive the third of your three equations.

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Your solution:

The 3rd equation is obtained by substituting (26.5, 32) into the quadratic form.

The third equation is 32 = 702.25a + 26.5b + c

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: The point (26.5,32) gives me the equation 702.25a + 26.5b + c = 32. **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qGive the first of the equations you got when you eliminated c.

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Your solution:

Subtracting 2 from 1 we get -17.7 = 224.72a + 10.6b, thus eliminating c

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: Subtracting the second equation from the third gave me 449.44a + 10.6b = -14. **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qGive the second of the equations you got when you eliminated c.

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Your solution:

Subtracting the second equation from the third we get -14 = 449.44 + 10.6b, thus eliminating c in another equation.

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: Subtracting the first equation from the third gave me 674.16a + 21.2b = -31.7. **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `explain how you solved for one of the variables.

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Your solution:

As you can see that both of the equations I obtained by eliminating c have 10.6b in common, thus by subtracting these equations I obtain an equation with one variable.

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: In order to solve for a, I eliminated b by multiplying the first equation by 21.2, which was the b value in the second equation. Then, I multiplied the seond equation by -10.6, which was the b value of the first equation, only I made it negative so they would cancel out. **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qWhat values did you get for a and b?

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Your solution:

On subtracting the 2 equations and solving it for one variable we obtain a = 0.01646 approximated to 0.0165 and on substituting this obtained value of a in any expression with 2 variables we obtain b = - 2.020

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: a = .0165, b = -2 **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qWhat did you then get for c?

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Your solution:

On substituting a = 0.0165 and b = -2.020 in the first of the 3 equations we get an equation in c which solves and turns out to be c = 73.9

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: c = 73.4 **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qWhat is your function model?

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Your solution:

The function model thus obtained is y = 0.0165(x^2) - 2.020(x) + 73.9 where y is the depth in cm and x is the time in seconds

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: y = (.0165)x^2 + (-2)x + 73.4. **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qWhat is your depth prediction for the given clock time (give clock time also)?

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Your solution:

For the given clock time 46 seconds the depth prediction according to the model is 15.894 cm

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION CONTINUED: The given clock time was 46 seconds, and my depth prediction was 16.314 cm.**

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qWhat clock time corresponds to the given depth (give depth also)?

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Your solution:

The corresponding depth is 14 cm. Now according to the quadratic model 14 = 0.0165x^2 - 2.020x + 73.9. Thus 0 = 0.0165x^2 - 2.020x + 59.9

For finding the roots we use the formula

x = [-b +- sqrt( b^2 - 4ac )]/(2a)

x = [2.020 +- sqrt( 4.0804 - 3.9534)]/(0.033)

x = 72.011 or -50.413

the corresponding time at which depth is 14 cm would be either 72.011 sec or - 50.413 sec , since time cannot be negative the root of -50.413 sec is to be neglected.

@&

Time can in fact be negative, since the 'zero point' of the clock is arbitrary.

However that turns out not to be an issue here.

The vertex of a quadratic function y = a x^2 + b x + c occurs at x = -b / (2a), which in this case is about 60. So the zeros have to be at equal distasnces on either side of x = 60.

This is clearly not the case for your solution, which therefore merits another look.

However, except for a likely arithmetic error, your procedure is correct.

*@

confidence rating #$&*: 3

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Given Solution:

** INSTRUCTOR COMMENT: The exercise should have specified a depth.

The specifics will depend on your model and the requested depth. For your model y = (.0165)x^2 + (-2)x + 73.4, if we wanted to find the clock time associated with depth 68 we would note that depth is y, so we would let y be 68 and solve the resulting equation:

68 = .01t^2 - 1.6t + 126

using the quadratic formula. There are two solutions, x = 55.5 and x = 104.5, approximately. **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qCompletion of Model second problem: grade average Give your data in the form of grade vs. clock time ordered pairs.

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Your solution:

The data for grade vs. percentage of assignments reviewed as ordered pairs are

( 0 , 1 )

( 10 , 1.790569 )

( 20 , 2.118034 )

( 30 , 2.369306 )

( 40 , 2.581139 )

( 50 , 2.767767 )

( 60 , 2.936492 )

( 70 , 3.09165 )

( 80 , 3.236068)

( 90 , 3.371708 )

( 100 , 3.5 )

confidence rating #$&*: 3

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Given Solution:

** STUDENT SOLUTION: Grade vs. percent of assignments reviewed

(0, 1)

(10, 1.790569)

(20, 2.118034)

(30, 2.369306)

(40, 2.581139)

(50, 2.767767)

(60, 2.936492)

(70, 3.09165)

(80, 3.236068)

(90, 3.371708)

(100, 3.5). **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `qWhat three points on your graph did you use as a basis for your model?

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Your solution:

The three points on my graph that I used as a basis for my model are ( 10 , 1.790569 ) , ( 50 , 2.767767 ) and ( 100 , 3.5 )

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED:

(20, 2.118034)

(50, 2.767767)

(100, 3.5)**

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qGive the first of your three equations.

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

The first of the 3 equations can be obtained by substituting ( 10 , 1.790569 ) in the quadratic equation form.

The equation we obtain is 1.790569 = 100a + 10b + c

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED: 400a + 20b + c = 2.118034**

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qGive the second of your three equations.

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

The second equation is obtained by substituting ( 50 , 2.767767 ) in the quadratic equation form.

The equation we obtain is 2.767767 = 2500a + 50b + c

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED: 2500a + 50b + c = 2.767767 **

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qGive the third of your three equations.

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

The third of the equation is found by substituting ( 100 , 3.5 ) in the quadratic equation form.

The quadratic equation obtained is 3.5 = 10000a + 100b + c

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED: 10,000a + 100b + c = 3.5 **

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qGive the first of the equations you got when you eliminated c.

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

On subtracting first equation from the second equation we eliminate c and the equation thus obtained is

0.977198 = 1500a + 40b

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED: 7500a + 50b = .732233. **

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qGive the second of the equations you got when you eliminated c.

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

On subtracting the second equation from the third equation we eliminate c and the equation thus obtained will be

0.732233 = 7500a + 50b

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED: Subracting the first equation from the third I go

9600a + 80b = 1.381966 **

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qExplain how you solved for one of the variables.

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

Since both the equations had a smaller b coefficient thus it was easier to eliminate b to solve the 2 equations for a.

Multiplying equation 1 by 50 we get

48.8599 = 75000a + 2000b

Multiplying the equation 2 by 40 we get

29.28932 = 300000a + 2000b

Now subtracting both the obtained equation we get our resulting equation for one variable.

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED: In order to solve for a, I eliminated the variable b. In order to do this, I multiplied the first new equation by 80 and the second new equation by -50. **

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qWhat values did you get for a and b?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

Subtracting the 2 equations we get

19.57058 = -225000a

Thus a = -0.0000869

On substituting this obtained value of a in any one for the 2 variable equation we obtain b as 55.3774 = 2000b thus b = 0.0276

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED:

a = -.0000876638

b = .01727 **

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qWhat did you then get for c?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

On substituting a = -0.0000869 and b = 0.0276 in one of the 3 equations we obtain the value of c as

1.790569 = 100 ( -0.0000869) + 10(0.0276) + c

c = 1.5232

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED: c = 1.773. **

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qWhat is your function model?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

Finally on obtaining each variable my function model thus is

y = -0.0000869(x^2) + 0.0276(x) + 1.5232

where y is the grade average and x is the percentage of assignments reviewed.

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** y = -.0000876638 x^2 + (.01727)x + 1.773 **

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qWhat is your percent-of-review prediction for the given range of grades (give grade range also)?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

The percentage of assignments reviewed in order to achieve grades of 3 can be calculated by substituting 3 for y in the model equation so obtained.

Thus

3 = -0.0000869(x^2) + 0.0276(x) + 1.5232

0 = -0.0000869(x^2) + 0.0276(x) - 1.4768

Using the equation in order to find the roots we obtain the values of x satisfying this equation which are

x = 364.206 and x = 46.65

46.65 % is realistic whereas 364.206 % is not realistic and thus is discarded.

@&

Good.

*@

Now for 4 point grade average , we can see that as percentage of assignment reviewed increases the grade average also increases and a grade point average of 3.5 is for 100% assignments reviewed which is the highest percentage allowed. Now in order to obtain a grade point average of 4 you need to review more than 100% assignments which is not possible. Thus obtaining a grade point average of 4 is not possible.

@&

Correct.

You could also have solved the associated quadratic equation, which would have led to a complex-valued solution. The lack of a real-valued solution indicates that the stated point average is not possible.

*@

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** The precise solution depends on the model desired average.

For example if the model is y = -.00028 x^2 + .06 x + .5 (your model will probably be different from this) and the grade average desired is 3.3 we would find the percent of review x corresponding to grade average y = 3.3 then we have

3.3 = -.00028 x^2 + .06 x + .5.

This equation is easily solved using the quadratic formula, remembering to put the equation into the required form a x^2 + b x + c = 0.

We get two solutions, x = 69 and x = 146. Our solutions are therefore 69% grade review, which is realistically within the 0 - 100% range, and 146%, which we might reject as being outside the range of possibility.

To get a range you would solve two equations, on each for the percent of review for the lower and higher ends of the range.

In many models the attempt to solve for a 4.0 average results in an expression which includes the square root of a negative number; this indicates that there is no real solution and that a 4.0 is not possible. **

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qWhat grade average corresponds to the given percent of review (give grade average also)?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

The given percentage of review is 80%. According to my model the projected grade average for that person would be

y = -0.0000869(80*80) + 0.0276(80) + 1.5232

y = 3.17504

the grade average for that person would be 3.17504 according to the model equation.

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** Here you plug in your percent of review for the variable. For example if your model is y = -.00028 x^2 + .06 x + .5 and the percent of review is 75, you plug in 75 for x and evaluate the result. The result gives you the grade average corresponding to the percent of review according to the model. **

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qHow well does your model fit the data (support your answer)?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

The model certainly fits exactly for the 3 points that I used to generate the model, for the rest of the points there is greater deviation.

For x = 10 the deviation is of -0.52 , for 10 deviation is 0 , for 20 deviation is of -0.4 for 30 deviation is of -0.3 and so on increases its value to 0 and then again increases with similar values but with positive sign following the pattern. Thus the average deviation will be small and the model most closely fits the data.

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** You should have evaluated your function at each given percent of review-i.e., at 0, 10, 20, 30, . 100 to get the predicted grade average for each. Comparing your results with the given grade averages shows whether your model fits the data. **

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

0

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qillumination vs. distance

Give your data in the form of illumination vs. distance ordered pairs.

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

The given data in the form of illumination vs. distance ordered pairs are

( 1 , 935.1395 )

( 2 , 264.4411 )

( 3 , 105.1209 )

( 4 , 61.01488 )

( 5 , 43.06238 )

( 6 , 25.91537 )

( 7 , 19.92772 )

( 8 , 16.27232 )

( 9 , 11.28082 )

( 10 , 9.484465 )

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION: (1, 935.1395)

(2, 264..4411)

(3, 105.1209)

(4, 61.01488)

(5, 43.06238)

(6, 25.91537)

(7, 19.92772)

(8, 16.27232)

(9, 11.28082)

(10, 9.484465)**

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qWhat three points on your graph did you use as a basis for your model?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

The 3 points that I used as a basis of my model are

( 2 , 264.4411 ) , ( 5 , 43.06238 ) and ( 8 , 16.27232 )

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED:

(2, 264.4411)

(4, 61.01488)

(8, 16.27232) **

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qGive the first of your three equations.

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

The first equation can be found by substituting ( 2 , 264.4411 ) in the quadratic equation form. The equation obtained is

264.4411 = 4a + 2b + c

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED: 4a + 2b + c = 264.4411**

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qGive the second of your three equations.

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

The second equation can be found by substituting ( 5 , 43.06238 ) in the quadratic equation form.

The equation thus formed will be 43.06238 = 25a + 5b + c

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED: 16a + 4b + c = 61.01488**

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qGive the third of your three equations.

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

The third equation can be obtained by substituting ( 8 , 16.27232 ) in the quadratic equation form.

The equation thus obtained will be 16.27232 = 64a + 8b + c

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED: 64a + 8b + c = 16.27232**

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qGive the first of the equations you got when you eliminated c.

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

On subtracting the first equation from the second we eliminate c and the equation thus obtained turns out to be

-221.37872 = 21a + 3b

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED: 48a + 4b = -44.74256**

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qGive the second of the equations you got when you eliminated c.

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

On subtracting the second equation from the first we eliminate c and the equation thus obtained is

-26.79006 = 39a + 3b

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED: 60a + 6b = -248.16878**

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qExplain how you solved for one of the variables.

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

The coefficient of b in both the expression is the same, thus b can easily be eliminated by subtracting one expression from the other.

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED: I solved for a by eliminating the variable b. I multiplied the first new equation by 4 and the second new equation by -6 **

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qWhat values did you get for a and b?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

On subtracting the 2 equations after multiplying the equation what I obtained was

194.58866 = 18a , thus a = 10.81048

And substituting this value of a in any of the two variable equation we get the value of b.

The value of b turns out to be -149.46626

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED: a = 15.088, b = -192.24 **

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qWhat did you then get for c?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

Using one of the 3 initial equations we get the value of c, by substituting the values of a and b thus obtained in the expressions

264.4411 = 4(10.81048) - 2(149.46626) + c

c = 520.1317

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED: c = 588.5691**

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qWhat is your function model?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

The function model thus obtained is

y = 10.81048(x^2) - 149.46626(x) + 520.1317

where y is the illumination of the comet and x is the distance from the sun

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED: y = (15.088) x^2 - (192.24)x + 588.5691 **

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qWhat is your illumination prediction for the given distance (give distance also)?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

The given distance is 1.6 earth distance from the sun. Using the model equation obtained and substituting x for 1.6 I obtained the illumination prediction.

The predicted illumination will be y(1.6) = 10.81048*1.6*1.6 - 149.46626*1.6 + 520.1317 = 308.6605128 W/m^2

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** STUDENT SOLUTION CONTINUED: The given distance was 1.6 Earth distances from the sun. My illumination prediction was 319.61 w/m^2, obtained by evaluating my function model for x = 1.6. **

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&

Self-critique (if necessary): OK

------------------------------------------------

Self-critique Rating: OK

*********************************************

Question: `qWhat distances correspond to the given illumination range (give illumination range also)?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

The given illumination range is 25 - 100 watts per square meter. Substituting the extreme values that are 25 and 100 in the model equation we can calculate the approximate distance from the sun in AU.

We thus have 25 = 10.81048x^2 - 149.46626x + 520.1317

Using the quadratic formula for finding the roots we find the root of the expression suitable to the data in the set as x = 5.501

Next we have 100 = 10.81048x^2 - 149.46626x + 520.1317

Again using the formula for finding the roots we find the root of the expression suitable to the given data and obtain x = 3.9250.

Thus the corresponding distance range is ( 3.9250 , 5.501 ) but in decreasing order for the corresponding illumination range of ( 25 , 100 )

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** The precise solution depends on the model and the range of averages.

For example if the model is y =9.4 r^2 - 139 r + 500 and the illumination range is 25 to 100 we would find the distance r corresponding to illumination y = 25, then the distance r corresponding to illumination y = 100, by solving the equations

25=9.4 r^2 - 139 r + 500

and

100 =9.4 r^2 - 139 r + 500

Both of these equations are easily solved using the quadratic formula, remembering to put both into the required form a r^2 + b r + c = 0. Both give two solutions, only one solution of each having and correspondence at all with the data.

The solutions which correspond to the data are

r = 3.9 when y = 100 and r = 5.4 when y = 25.

So when the distance x has range 3.9 - 5.4 the illumination range is 25 to 100.

Note that a quadratic model does not fit this data well. Sometimes data is quadratic in nature, sometimes it is not. We will see as the course goes on how some situations are accurately modeled by quadratic functions, while others are more accurately modeled by exponential or power functions. **

""

""

"

Self-critique (if necessary):

------------------------------------------------

Self-critique rating:

*********************************************

Question: `qWhat distances correspond to the given illumination range (give illumination range also)?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

The given illumination range is 25 - 100 watts per square meter. Substituting the extreme values that are 25 and 100 in the model equation we can calculate the approximate distance from the sun in AU.

We thus have 25 = 10.81048x^2 - 149.46626x + 520.1317

Using the quadratic formula for finding the roots we find the root of the expression suitable to the data in the set as x = 5.501

Next we have 100 = 10.81048x^2 - 149.46626x + 520.1317

Again using the formula for finding the roots we find the root of the expression suitable to the given data and obtain x = 3.9250.

Thus the corresponding distance range is ( 3.9250 , 5.501 ) but in decreasing order for the corresponding illumination range of ( 25 , 100 )

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** The precise solution depends on the model and the range of averages.

For example if the model is y =9.4 r^2 - 139 r + 500 and the illumination range is 25 to 100 we would find the distance r corresponding to illumination y = 25, then the distance r corresponding to illumination y = 100, by solving the equations

25=9.4 r^2 - 139 r + 500

and

100 =9.4 r^2 - 139 r + 500

Both of these equations are easily solved using the quadratic formula, remembering to put both into the required form a r^2 + b r + c = 0. Both give two solutions, only one solution of each having and correspondence at all with the data.

The solutions which correspond to the data are

r = 3.9 when y = 100 and r = 5.4 when y = 25.

So when the distance x has range 3.9 - 5.4 the illumination range is 25 to 100.

Note that a quadratic model does not fit this data well. Sometimes data is quadratic in nature, sometimes it is not. We will see as the course goes on how some situations are accurately modeled by quadratic functions, while others are more accurately modeled by exponential or power functions. **

""

""

"

Self-critique (if necessary):

------------------------------------------------

Self-critique rating:

#*&!

*********************************************

Question: `qWhat distances correspond to the given illumination range (give illumination range also)?

YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

Your solution:

The given illumination range is 25 - 100 watts per square meter. Substituting the extreme values that are 25 and 100 in the model equation we can calculate the approximate distance from the sun in AU.

We thus have 25 = 10.81048x^2 - 149.46626x + 520.1317

Using the quadratic formula for finding the roots we find the root of the expression suitable to the data in the set as x = 5.501

Next we have 100 = 10.81048x^2 - 149.46626x + 520.1317

Again using the formula for finding the roots we find the root of the expression suitable to the given data and obtain x = 3.9250.

Thus the corresponding distance range is ( 3.9250 , 5.501 ) but in decreasing order for the corresponding illumination range of ( 25 , 100 )

confidence rating #$&*: 3

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.............................................

Given Solution:

** The precise solution depends on the model and the range of averages.

For example if the model is y =9.4 r^2 - 139 r + 500 and the illumination range is 25 to 100 we would find the distance r corresponding to illumination y = 25, then the distance r corresponding to illumination y = 100, by solving the equations

25=9.4 r^2 - 139 r + 500

and

100 =9.4 r^2 - 139 r + 500

Both of these equations are easily solved using the quadratic formula, remembering to put both into the required form a r^2 + b r + c = 0. Both give two solutions, only one solution of each having and correspondence at all with the data.

The solutions which correspond to the data are

r = 3.9 when y = 100 and r = 5.4 when y = 25.

So when the distance x has range 3.9 - 5.4 the illumination range is 25 to 100.

Note that a quadratic model does not fit this data well. Sometimes data is quadratic in nature, sometimes it is not. We will see as the course goes on how some situations are accurately modeled by quadratic functions, while others are more accurately modeled by exponential or power functions. **

""

""

"

Self-critique (if necessary):

------------------------------------------------

Self-critique rating:

#*&!#*&!

&#Your work looks good. See my notes. Let me know if you have any questions. &#