4. Exercise 4.4Cascade Pharmaceuticals Company developed the following regression model, using time-series data from the past 33 quarters, for one of itsnonprescription cold remedies:Y=-1.04 +0.24X1-0.27X2whereY - quarterly sales (in thousands of cases) of the cold remedyX- Cascade's quarterly advertising (x $1,000) for the cold remedyX= competitors' advertising for similar products (x $10,000)Here is additional information concerning the regression model:= 0.052, e-0.070, R- 0.6-40, s= 1.63, F-statistie - 31.402, and Durbin-Watson (d) statistic = 0.499.Which of the independent variables (f any) appears to be statistically significant (at the 0.0S level) in explaining sales of the cold remedy? (Hint:taas/ 1- 2.042.) Check all that apply.O X1O X: Which of the independent variables (if any) appears to be statistically significant (at the 0.05 level) in explaining sales of the cold remedy? (Hint:tea/ L- - 2.042.) Check all that apply.O XIWhat proportion of the total variation in sales is explained by the regression equation?O 0.122O 0.640O 0.070O 0.052The given F-value shows that youreject the nul hypothesis that neither of the independent varlables explains a significant (at the 0.05level) proportion of the variation in income. (Hint: Fom.11-3.316.)

The estimated regression model is Y=-1.04+0.24X1-0.27X2. So, b1=0.24 and b2=-0.27. Given that…

Answered: 4. Exercise 4.4 Cascade Pharmaceuticals…

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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Where we observe multicollinearity in a multiple regression analysis, two of our independent variables, x-1 and x-4, are so highly correlated they’re almost indistinguishable with respect to their relationship with our dependent (y) variable. Why is that a problem?
Cascade Pharmaceuticals Company developed the following regression model, using time-series data from the past 33 quarters, for one of its nonprescription cold remedies: Y=−1.04+0.24X1−0.27X2�=−1.04+0.24�1−0.27�2 where Y� = quarterly sales (in thousands of cases) of the cold remedy X1�1 = Cascade's quarterly advertising (× $1,000) for the cold remedy X2�2 = competitors' advertising for similar products (× $10,000) Here is additional information concerning the regression model: sb1=0.042�b1=0.042, sb2=0.070�b2=0.070, R2=0.720�2=0.720, se=1.63��=1.63, F-statistic=31.402F-statistic=31.402, and Durbin-Watson (d) statistic=0.499Durbin-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 cold remedy? (Hint: t0.05/2,33 - 3=2.042�0.05/2,33 - 3=2.042.) Check all that apply. X1�1 X2�2 What proportion of the total variation in sales is explained by the regression…
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Cascade Pharmaceuticals Company developed the following regression model, using time-series data from the past 33 quarters, for one of its nonprescription cold remedies: 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: Sb1 = 0.052, Sb2 = 0.070, R² = 0.640, se = 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 cold remedy? (Hint: to.05/2,33-3= 2.042.) Check all that apply. O X₁ O X₂ What proportion of the total variation in sales is explained by the regression equation? O 0.122 O 0.070 O 0.640 O 0.052 The given F-value shows that you reject the null hypothesis that neither of the independent variables…
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