Y-1.04 +0.24X₁-0.27X2whereY = quarterly sales (in thousands of cases) of the cold remedyX₁ = Cascade's quarterly advertising (x $1,000) for the cold remedyX₂= competitors' advertising for similar products (x $10,000)Here is additional information concerning the regression model:8b1 = 0.052, 862 = 0.080, R² = 0.640, 8e-1.63, F-statistic=31.402, and Durbin-Watson (d) statistic=0.499.Which of the independent variables (if any) appears to be statistically significant (at the 0.05 level) in explaining sales of theremedy? (Hint: to.05/2,33-32.042.) Check all that apply.□ X₁OX2What proportion of the total variation in sales is explained by the regression equation?0.6400.080O 0.132O 0.052The given F-value shows that youreject the null hypothesis that neither of the independent variables explains asignificant (at the 0.05 level) proportion of the variation in income. (Hint: Fo.05,2,33-2-F3.316.) whereY = quarterly sales (in thousands of cases) of the cold remedyX₁ Cascade's quarterly advertising (x $1,000) for the cold remedyX2 competitors' advertising for similar products (x $10,000)=Here is additional information concerning the regression model:$61 0.052, 862=0.080, R2 = 0.640, 8= 1.63, F-statistic 31.402, and Durbin-Watson (d) statistic = 0.499.-Which of the independent variables (if any) appears to be statistically significant (at the 0.05 level)'in explaining sales of the coldremedy? (Hint: to.05/2,33-3 2.042.) Check all that apply.O X₁X₂What proportion of the total variation in sales is explained by the regression equation?O 0.640O 0.080O 0.1320.052reject the null hypothesis that neither of the independent variables explains aThe given F-value shows that you.sinnificant fat the 0.05 level) proportion of the variation in income. (Hint: Fo.05,2,33-2- 3.316.)

Given The regression equation: Here The standard error of the regression coefficient The slope…

Y = -1.04+0.24X₁-0.27X₂ where Y = quarterly sales (in thousands of cases) of the cold remedy X₁ = Cascade's quarterly advertising (x $1,000) for the cold remedy X₂ = competitors' advertising for similar products (x $10,000) Here is additional information concerning the regression model: 8b1 = 0.052, 862 = 0.080, R² = 0.640, s 1.63, F-statistic = 31.402, and Durbin-Watson (d) statistic = 0.499. Which of the independent variables (if any) appears to be statistically significant (at the 0.05 level) in explaining sales of the remedy? (Hint: to.05/2,33-2.042.) Check all that apply. O X₁ OX₂ What proportion of the total variation in sales is explained by the regression equation? O 0.640 O 0.080 O 0.132 O 0.052 The given F-value shows that you reject the null hypothesis that neither of the independent variables explains a significant (at the 0.05 level) proportion of the variation in income. (Hint: F0.05,2,33-2-F3.316.)

Y = -1.04+0.24X₁-0.27X₂ where Y = quarterly sales (in thousands of cases) of the cold remedy X₁ = Cascade's quarterly advertising (x $1,000) for the cold remedy X₂ = competitors' advertising for similar products (x $10,000) Here is additional information concerning the regression model: 8b1 = 0.052, 862 = 0.080, R² = 0.640, s 1.63, F-statistic = 31.402, and Durbin-Watson (d) statistic = 0.499. Which of the independent variables (if any) appears to be statistically significant (at the 0.05 level) in explaining sales of the remedy? (Hint: to.05/2,33-2.042.) Check all that apply. O X₁ OX₂ What proportion of the total variation in sales is explained by the regression equation? O 0.640 O 0.080 O 0.132 O 0.052 The given F-value shows that you reject the null hypothesis that neither of the independent variables explains a significant (at the 0.05 level) proportion of the variation in income. (Hint: F0.05,2,33-2-F3.316.)

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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