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. Explain/Interpret the Coefficient of Determination (R2) from the Excel output. 2. Write the estimated regression equation from the Excel output. Use the regression equation to estimate the amount of paper used in a month when 42 loan originations are expected. 3. Conduct significance tests for the regression using the t-test and F-test. Include null and alternative hypotheses, explanations of the tests, and conclusions of what is found. [Use the 0.05 level of significance.]

. Explain/Interpret the Coefficient of Determination (R2) from the Excel output. 2. Write the estimated regression equation from the Excel output. Use the regression equation to estimate the amount of paper used in a month when 42 loan originations are expected. 3. Conduct significance tests for the regression using the t-test and F-test. Include null and alternative hypotheses, explanations of the tests, and conclusions of what is found. [Use the 0.05 level of significance.]

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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1. Explain/Interpret the Coefficient of Determination (R2) from the Excel output. 2. Write the estimated regression equation from the Excel output. Use the regression equation to estimate the amount of paper used in a month when 42 loan originations are expected. 3. Conduct significance tests for the regression using the t-test and F-test. Include null and alternative hypotheses, explanations of the tests, and conclusions of what is found. [Use the 0.05 level of significance.]
Regression Statistics Multiple R R Square 0.8749 0.7654 Adjusted R Square 0.7263 Standard Error 2.3229 Observations 8. ANOVA df SS MS Significance F F Regression 1 105.63 105.63 19.58 0.004 Residual 6. 32.38 5.3958 Total 138.00 Coefficients Standard Error t Stat P-value Intercept 7.50 3.051 2.458 0.049 Number of Loans 0.325 0.073 4.424 0.004
Transcribed Image Text:Regression Statistics Multiple R R Square 0.8749 0.7654 Adjusted R Square 0.7263 Standard Error 2.3229 Observations 8. ANOVA df SS MS Significance F F Regression 1 105.63 105.63 19.58 0.004 Residual 6. 32.38 5.3958 Total 138.00 Coefficients Standard Error t Stat P-value Intercept 7.50 3.051 2.458 0.049 Number of Loans 0.325 0.073 4.424 0.004
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 and Excel regression output: Number of Loans TT Sheets of Photocopy Paper Used (000's) Originated in Month 45 22 25 13 50 24 60 25 40 21 25 16 35 40 18 25 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square 0.8749 0.7654 0.7263 Standard Error 2.3229 Observations 8 ANOVA df SS MS F Significance F Regression 1 105.63 105.63 19.58 0.004 Residual 32.38 5.3958 Total 7 138.00 Coefficients Standard Error t Stat Р-value MacBook Pro The It & 5 6 7 48 *CO
Transcribed Image Text: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 and Excel regression output: Number of Loans TT Sheets of Photocopy Paper Used (000's) Originated in Month 45 22 25 13 50 24 60 25 40 21 25 16 35 40 18 25 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square 0.8749 0.7654 0.7263 Standard Error 2.3229 Observations 8 ANOVA df SS MS F Significance F Regression 1 105.63 105.63 19.58 0.004 Residual 32.38 5.3958 Total 7 138.00 Coefficients Standard Error t Stat Р-value MacBook Pro The It & 5 6 7 48 *CO
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