X 2 6 9 13 20 5. Connie Harris, in charge of office supplies at First Capital Mortgage Corp., would like to predict the quantity of paper used in the office photocopying machines per month. She believes that the number of loans originated in a month influence the volume of photocopying performed. She has compiled the following recent monthly data: Number of Loans Originated in Month Y 26932 7 18 13 9 26 23 20 Sheets of Photocopy Paper Used (000's) 7 18 a. Develop the least-squares estimated regression equation that relates sheets of photocopy paper used to loans originated. b. What are the intercept and slope? 9 26 23 c. Compute SSE, SST, and SSR.

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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Question
X
2
6
9
13
20
5.
Connie Harris, in charge of office supplies at First Capital Mortgage Corp., would
like to predict the quantity of paper used in the office photocopying machines per
month. She believes that the number of loans originated in a month influence
the volume of photocopying performed. She has compiled the following recent
monthly data:
Number of Loans
Originated in
Month
Y
2
6
7
18
9
13
20
9
26
23
Sheets of
Photocopy
Paper Used
(000's)
7
18
a. Develop the least-squares estimated regression equation that relates
sheets of photocopy paper used to loans originated.
b. What are the intercept and slope?
9
26
23
c. Compute SSE, SST, and SSR.
7
Transcribed Image Text:X 2 6 9 13 20 5. Connie Harris, in charge of office supplies at First Capital Mortgage Corp., would like to predict the quantity of paper used in the office photocopying machines per month. She believes that the number of loans originated in a month influence the volume of photocopying performed. She has compiled the following recent monthly data: Number of Loans Originated in Month Y 2 6 7 18 9 13 20 9 26 23 Sheets of Photocopy Paper Used (000's) 7 18 a. Develop the least-squares estimated regression equation that relates sheets of photocopy paper used to loans originated. b. What are the intercept and slope? 9 26 23 c. Compute SSE, SST, and SSR. 7
d. Compute the coefficient of determination r2. Comment on the
goodness of fit.
e. Compute the mean square error MSE.
f. Compute the standard error of the estimate.
g. Compute the estimated standard deviation of b₁.
h. Use the t test to test the following hypothesis ß₁ = 0 at a = .05. What is
your conclusion?
Transcribed Image Text:d. Compute the coefficient of determination r2. Comment on the goodness of fit. e. Compute the mean square error MSE. f. Compute the standard error of the estimate. g. Compute the estimated standard deviation of b₁. h. Use the t test to test the following hypothesis ß₁ = 0 at a = .05. What is your conclusion?
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