Name(s)Active Leaming Guidebook: Agpled Business StatisticsSUMMARY OUTPUTMultiple RR SquareAdjusted R SquareStandard ErorRegression Statistics0.939430.882520.877523.9835050,00000ObservationsSignif F0.00000ANOVAFMSSSdf2.0000047.00000176.537182801.3449515.86830Regression5602.68991745.81009ResidualTotalUpper6348.50000StandardError11.8237549.0000095%P-valueLower 95%t Stat6.58202Coefficients101.6104554.03783InterceptDiscountCoupon(%)CompAdExp($)77.824140,000002.808210.000000.630091.994442.401330.2022611.87277-0.015660.025600.004970.010260.484783.a. Fully interpret the coefficient of determination (R?)level. Show all codel have significant explanatory power? Test the significance of the overall regression at the .013.c. Fully interpret the regression slope coefficients3.d. Are the signs of the regression slope coefficients as expected? Explain.3.e. Test the significance of the individual regression slope coefficient on DiscountCoupon(%) at the .05 level.Which independent variables have a significant influence on weekly cell phone sales?3.f. Calculate and interpret a 90% confidence interval on the individual regression slope coefficient on discountcoupons.3.g. Predict the mean weekly sales of cell phones if discount coupon was 20% and weekly competitor advertisingexpenditures were $2,000 per week.3.h. Are the residuals well behaved? Check the standard assumptions regarding the behavior of the error term.Standard assumptions regarding the behavior of the error term1) Mean of zero.2) Constant variance.3) Normality.4) Independence of the error term – Non-autocorrelation.3.i. Is multicollinearity a problem in this regression model?Copyright © 2021 by Management STAT Training Institute All Rights Reservede-mail: huche001@umn.edu Statistics/ALT-CATGuidebook_Student_Ch1-12 120 excel.docx- 84 -

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Description: Name(s)Active Leaming Guidebook: Agpled Business StatisticsSUMMARY OUTPUTMultiple RR SquareAdjusted R SquareStandard ErorRegression Statistics0.939430.882520.877523.9835050,00000ObservationsSignif F0.00000ANOVAFMSSSdf2.0000047.00000176.537182801.344

Math

Statistics

Regressin Stal Multiple R R Square Adjusted R Square Standard Eror Observations 0.93943 0.88252 0.87752 3.98350 50,00000 Signif F 0.00000 ANOVA MS df 176.53718 Regression Residual 2.00000 47.00000 49.00000 5602.68991 745.81009 2801.34495 15.86830 Total 6348.50000 Standard Error Upper 95% Coefficients P-value Lower 95% Intercept DiscountCoupon(%) t Stat 6.58202 11.87277 101.61045 2.80821 77.82414 0.00000 54.03783 11.82375 2.40133 0.20226 0.00000 1.99444 CompAdExp($) 0.02560 0.00497 3.a. Fully interpret the coefficient of determination (R) 0.01026 0.48478 0.63009 -0.01566 level, Show all codel have significant explanatory power? Test the significance of the overall regression at the .01 3.c. Fully interpret the regression slope coefficients

Regressin Stal Multiple R R Square Adjusted R Square Standard Eror Observations 0.93943 0.88252 0.87752 3.98350 50,00000 Signif F 0.00000 ANOVA MS df 176.53718 Regression Residual 2.00000 47.00000 49.00000 5602.68991 745.81009 2801.34495 15.86830 Total 6348.50000 Standard Error Upper 95% Coefficients P-value Lower 95% Intercept DiscountCoupon(%) t Stat 6.58202 11.87277 101.61045 2.80821 77.82414 0.00000 54.03783 11.82375 2.40133 0.20226 0.00000 1.99444 CompAdExp($) 0.02560 0.00497 3.a. Fully interpret the coefficient of determination (R) 0.01026 0.48478 0.63009 -0.01566 level, Show all codel have significant explanatory power? Test the significance of the overall regression at the .01 3.c. Fully interpret the regression slope coefficients

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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