A manager at a roadside cafe is concerned that the weak economic environment has caused a decline in sales. To offset the decline in sales, the manager has pursued astrong advertising campaign (billboards up and down the road). She believes advertising expenditures have a positive influence on sales. To support her claim, themanager estimates the following linear regression model: Sales = Bo + B1Unemployment + B2Advertising + E. A portion of the regression results is shown in theaccompanying table.Significance F0.003ANOVAdfMSF36.3187RegressionResidual272.63749.6741458.04384.1460Total16130,681StandardErrort Statp-Value0.007Coefficients17.50603.9817InterceptUnemploymentAdvertising4.397-0.68790.2997-2.2960.0380.02660.00683.9320.022What is the value of the test statistic regarding whether the predictor variables jointly influence sales (round to 3 decimal places)?At the 5% significance level, do the predictor variables jointly influence sales? (Y/N)Is Advertising negatively related with sales? (Y/N)Are both Unemployment and Advertising statistically significant in this model? (Y/N)What is most likely wrong with this model?

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A manager at a roadside cafe is concerned that the weak economic environment has caused a decline in sales. To offset the decline in sales, the manager has pursued a strong advertising campaign (billboards up and down the road). She believes advertising expenditures have a positive influence on sales. To support her claim, the manager estimates the following linear regression model: Sales = Bo + B1Unemployment + B2Advertising + E. A portion of the regression results is shown in the accompanying table. ANOVA df MS F Significance F 0.003 Regression 2 72.6374 36.3187 9.674 Residual 14 58.0438 4.1460 Total 16 130.681 Standard Coefficients Error t Stat p-Value Intercept 17.5060 3.9817 4.397 0.007 Unemployment Advertising -0.6879 0.2997 -2.296 0.038 0.0266 0.0068 3.932 0.022 What is the value of the test statistic regarding whether the predictor variables jointly influence sales (round to 3 decimal places)? At the 5% significance level, do the predictor variables jointly influence sales? (Y/N) Is Advertising negatively related with sales? (Y/N) Are both Unemployment and Advertising statistically significant in this model? (Y/N) What is most likely wrong with this model?

A manager at a roadside cafe is concerned that the weak economic environment has caused a decline in sales. To offset the decline in sales, the manager has pursued a strong advertising campaign (billboards up and down the road). She believes advertising expenditures have a positive influence on sales. To support her claim, the manager estimates the following linear regression model: Sales = Bo + B1Unemployment + B2Advertising + E. A portion of the regression results is shown in the accompanying table. ANOVA df MS F Significance F 0.003 Regression 2 72.6374 36.3187 9.674 Residual 14 58.0438 4.1460 Total 16 130.681 Standard Coefficients Error t Stat p-Value Intercept 17.5060 3.9817 4.397 0.007 Unemployment Advertising -0.6879 0.2997 -2.296 0.038 0.0266 0.0068 3.932 0.022 What is the value of the test statistic regarding whether the predictor variables jointly influence sales (round to 3 decimal places)? At the 5% significance level, do the predictor variables jointly influence sales? (Y/N) Is Advertising negatively related with sales? (Y/N) Are both Unemployment and Advertising statistically significant in this model? (Y/N) What is most likely wrong with this model?

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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