For the next several questions, please consider the attached image; it will be repeated each time....

 

  

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For the next several questions, please consider the attached image; it will be repeated each time. It represents a multivariate regression run on the quantity of carpet demanded from a given city. The resulting equation describeş Y (quantity of carpet demanded, in thousands of units) as a function of an intercept and five dummy variables. You ll be asked several questions on this graphic. H SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Emor Observations ANOVA Regression Residual Total Intercept Region Foam Scent Color Residue Force Constant to Zero FALSE 0.894 0.800 Goodness of Fit >=0.80 0.745 2.206 24 5 18 23 $$ MS 350 4359369 70 087187 14.4074 87.55406307 4.8646702 438 Palve 0.000 Confidence Level 0.95 0.99 Coefficients Standard Errort Stat Pivalue Lower 95% Upper 95% Lower 99% Upper 99% 90 1921828 4.046988933 22 206244 0.000 816897746 98 694591 78.543166 101.8412 -3.859117116 1.042809786 3.7006913 0.002 0499792 -1.668255605 6860783 0 85745 1816893637 0.35820658 5.072195 0.000 1.06432954 2.56945774 0.7858173 2.84797 1.034604641 0.922490779 1.1216206 0277 09033966 2.97276565 -1 62065 3 690019 0232672236 0.708123097 0.328576 0.746 12550392 172038366 -1.005618 2.270962 -4.00148838 0811058697 49287991 0 000 67071402 229583655 4338375 -1.6646 y=90.192-3.859 Region +1.817 Foam +1.035 Scert +0.233 Color-4.001 Residue Each of the independent variables shown here is a dummy variable, with the following possible values: Region - (0 if manufactured in Region A, 1 if manufactured in Region B) Foam (0 if it has no foam added, 1 if it has foam added) Scent (0 if it is standard carpet, 1 if it is scent-resistant) M Color- (0 if Color One, 1 if Color Two) Intercept Region Foam Scent Color Residue Coefficients Standard Emort Stat 90.1921828 4.046988933 22.206244 3.859117116 1.042809786 3.7006913 1.816893637 0.35820658 5.072195 1.034684641 0.922490779 1.1216206 0232672236 0.708123097 0.328576 4.00148838 08118586974 9287991 y=90.192-3.859 Region +1.817 Foam +1.035 Scent +0.233 Color -4.001 Residue 992 P-value Lower 95% Upper 95% Lover 99% Upper 99% 0.000 81.6897746 98.694591 78.543166 101 8412 0.002 60499792 -1.66825505 6.860783 -0.85745 0.000 1.06432954 2.56945774 0.7858173 2.84797 0.277 0.9033966 2.97276685 -1 62065 3.690019 0.746 -1.2550392 1.72038366 -1.805618 2270962 0.000 5.7071402 -2 29583655 6338375 -1.6646 Each of the independent variables shown here is a dummy variable, with the following possible values: Region = (0 if manufactured in Region A, 1 if manufactured in Region B) Foam (0 if it has no foam added, 1 if it has foam added) Scent Color (0 if Color One, 1 if Color Two) Residue = (0 if Residue Type I, 1 if Residue Type II) Again, remember that the equation measures the quantity of carpet demanded. From the sign on their coefficients, we can guess demand for carpet. foam added and when it produces Residue Type II, all else equal. = (0 if it is standard carpet, 1 if it is scent-resistant) O is higher; is higher O is lower; is lower O is lower; is higher O is higher; is lower when that carpet has For the next several questions, please consider the attached image; it will be repeated each time. It represents a multivariate regression run on the quantity of carpet demanded from a given city. The resulting equation describeş Y (quantity of carpet demanded, in thousands of units) as a function of an intercept and five dummy variables. You ll be asked several questions on this graphic. H SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Emor Observations ANOVA Regression Residual Total Intercept Region Foam Scent Color Residue Force Constant to Zero FALSE 0.894 0.800 Goodness of Fit >=0.80 0.745 2.206 24 5 18 23 $$ MS 350 4359369 70 087187 14.4074 87.55406307 4.8646702 438 Palve 0.000 Confidence Level 0.95 0.99 Coefficients Standard Errort Stat Pivalue Lower 95% Upper 95% Lower 99% Upper 99% 90 1921828 4.046988933 22 206244 0.000 816897746 98 694591 78.543166 101.8412 -3.859117116 1.042809786 3.7006913 0.002 0499792 -1.668255605 6860783 0 85745 1816893637 0.35820658 5.072195 0.000 1.06432954 2.56945774 0.7858173 2.84797 1.034604641 0.922490779 1.1216206 0277 09033966 2.97276565 -1 62065 3 690019 0232672236 0.708123097 0.328576 0.746 12550392 172038366 -1.005618 2.270962 -4.00148838 0811058697 49287991 0 000 67071402 229583655 4338375 -1.6646 y=90.192-3.859 Region +1.817 Foam +1.035 Scert +0.233 Color-4.001 Residue Each of the independent variables shown here is a dummy variable, with the following possible values: Region - (0 if manufactured in Region A, 1 if manufactured in Region B) Foam (0 if it has no foam added, 1 if it has foam added) Scent (0 if it is standard carpet, 1 if it is scent-resistant) M Color- (0 if Color One, 1 if Color Two) Intercept Region Foam Scent Color Residue Coefficients Standard Emort Stat 90.1921828 4.046988933 22.206244 3.859117116 1.042809786 3.7006913 1.816893637 0.35820658 5.072195 1.034684641 0.922490779 1.1216206 0232672236 0.708123097 0.328576 4.00148838 08118586974 9287991 y=90.192-3.859 Region +1.817 Foam +1.035 Scent +0.233 Color -4.001 Residue 992 P-value Lower 95% Upper 95% Lover 99% Upper 99% 0.000 81.6897746 98.694591 78.543166 101 8412 0.002 60499792 -1.66825505 6.860783 -0.85745 0.000 1.06432954 2.56945774 0.7858173 2.84797 0.277 0.9033966 2.97276685 -1 62065 3.690019 0.746 -1.2550392 1.72038366 -1.805618 2270962 0.000 5.7071402 -2 29583655 6338375 -1.6646 Each of the independent variables shown here is a dummy variable, with the following possible values: Region = (0 if manufactured in Region A, 1 if manufactured in Region B) Foam (0 if it has no foam added, 1 if it has foam added) Scent Color (0 if Color One, 1 if Color Two) Residue = (0 if Residue Type I, 1 if Residue Type II) Again, remember that the equation measures the quantity of carpet demanded. From the sign on their coefficients, we can guess demand for carpet. foam added and when it produces Residue Type II, all else equal. = (0 if it is standard carpet, 1 if it is scent-resistant) O is higher; is higher O is lower; is lower O is lower; is higher O is higher; is lower when that carpet has

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From the sign on their coefficients we can guess demand for carpet when that carpet has foam added a... View the full answer