Practice for Chapter 14 & 15 12) Given the regression output above, what percent of variation is explained by the model? 13) Given the regression
Practice for Chapter 14 & 15
12) Given the regression output above, what percent of variation is explained by the model?
13) Given the regression output above, where the dependent variable is cost of a boat, which independent variables are significant at the alpha = 10% level? Select all that are correct.
14) Given the regression output above, where the dependent variable is cost of a boat, is the model as a whole significant? How do you know?
15) Given the regression equation above where the dependent variable is the price of a computer, what should the degrees free for the Regression Sum of Squares be?
16) Given the regression equation above where the dependent variable is the price of a computer, what is the R-square of the regression?
17) Given the regression equation above where the dependent variable is the price of a computer, what is the t-stat for processor Mz?
18) Given the regression equation above where the dependent variable is the price of a computer, what is the F-value for the model?
19) Given the regression equation above where the dependent variable is the price of a computer, which independent variables has the lowest p-value?
Question 12 (1 point) Regression Statistics Multiple R 0.82731 R Square 0.68445 Adjusted R Square 0.60030 Standard Error 37.40252 Observations 20 ANOVA df SS MS F Significance F Regression 4 45515.77 11378.94 8.13 0.00107 Residual 15 20984.23 1398.95 Total 19 66500.00 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 120.50886 82.22254 1.46564 0.16339 -54.74434 295.76205 Rooms 7.46415 12.24022 0.60981 0.55112 -18.62526 33.55355 Age -1.7783 0.7179 -2.47713 0.02564 -0.33084 -0.02482 Length 2.82719 1.40160 2.01711 0.06195 -0.16025 5.81463 Nav. Equip. 0.35408 0.22411 1.57995 0.13497 -0.12360 0.83176 Given the regression output above, what percent of variation is explained by the model? about 68% about 60% about 83% about 37%Question 13 (1 point) Regression Statistics Multiple R 0.82731 R Square 0.68445 Adjusted R Square 0.60030 Standard Error 37.40252 Observations 20 ANOVA SS MS F Significance F Regression 45515.77 11378.94 8.13 0.00107 Residual 15 20984.23 1398.95 Total 19 66500.00 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 120.50886 82.22254 1.46564 0.16339 -54.74434 295.76205 Rooms 7.46415 12.24022 0.60981 0.55112 -18.62526 33.55355 Age -1.7783 0.7179 -2.47713 0.02564 -0.33084 -0.02482 Length 2.82719 1.40160 2.01711 0.06195 -0.16025 5.81463 Nav. Equip 0.35408 0.22411 1.57995 0.13497 -0.12360 0.83176 Given the regression output above, where the dependent variable is cost of a boat, which independent variables are significant at the alpha = 10% level? Select all that are correct. rooms age nav equipment lengthQuestion 14 (1 point) Regression Statistics Multiple R 0.82731 R Square 0.68445 Adjusted R Square 0.60030 Standard Error 37.40252 Observations 20 ANOVA SS MS F Significance F Regression 4 45515.77 11378.94 8.13 0.00107 Residual 15 20984.23 1398.95 Total 19 66500.00 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 120.50886 82.22254 1.46564 0.16339 -54.74434 295.76205 Rooms 7.46415 12.24022 0.60981 0.55112 -18.62526 33.55355 Age -1.7783 0.7179 -2.47713 0.02564 -0.33084 -0.02482 Length 2.82719 1.40160 2.01711 0.06195 -0.16025 5.81463 Nav. Equip 0.35408 0.22411 1.57995 0.13497 -0.12360 0.83176 Given the regression output above, where the dependent variable is cost of a boat, is the model as a whole significant? How do you know? yes, the intercept is significant. Oyes, the F has a significance <.1 o no not all of the independent variables are significant. oyes r-squared is>.5Question 15 (1 point) 31m ' " "i'lJ'Thu 145354135591 7303579595 41.. 01950.35 453.4% 1442-73} ____. _!_991934319?'!_._2-552111$2. 1 4521mm i 171312249 Given the regression equation above where the dependent variable is the price of a computer, what should the degrees free for the Regression Sum of Squares be? Question 16 (1 point) SUMMARY OUTPUT Regression Statistics Multiple R 0.834308875 R Square Adjusted R Square Standard Error Observations ANOVA SS MS F ignificance F Regression 3 34335282.67 2.07E-08 Residual 14991966.89 Total 35 49327249.56 Coefficients |Standard Error t Stat | P-value Lower 95% Upper 95% Intercept -45.95413592 730.8679496 -0.06288 0.950256 -1534.68 1442.774 Processor Mz 0.193481924 2.557161186 RAM 4.521583654 2.94317936 Hard Drive Capacity 174.042249 44.08895333 Given the regression equation above where the dependent variable is the price of a computer, what is the R-square of the regression? O 0.914 0.166 0.304 0.696Question 17 (1 point) SUMMARY OUTPUT Regression Statistics Multiple R 0.834308875 R Square Adjusted R Square Standard Error Observations ANOVA df SS MS F ignificance F Regression 3 34335282.67 2.07E-08 Residual 14991966.89 Total 35 49327249.56 Coefficients Standard Error | t Stat | P-value Lower 95% Upper 95% Intercept -45.95413592 730.8679496 -0.06288 0.950256 -1534.68 1442.774 Processor Mz 0.193481924 2.557161186 RAM 4.521583654 2.94317936 Hard Drive Capacity 174.042249 44.08895333 Given the regression equation above where the dependent variable is the price of a computer, what is the t-stat for processor Mz? 0.960 1.537 0.0757 O0.193Question 18 (1 point) W " 'i'UU'iPU ' ' I I , 45345.1 \"42.77412 __2.557_ __1__a_11as a.\" Given the regression equation above where the dependent variable is the price of a computer, what is the F-value for the model? Question 19 (1 point) Saved SUMMARY OUTPUT Regression Statistics Multiple R 0.834308875 R Square Adjusted R Square Standard Error Observations ANOVA di SS MS F ignificance F Regression 3 34335282.67 2.07E-08 Residual 14991966.89 Total 35 49327249.56 Coefficients Standard Error | t Stat | P-value Lower 95% Upper 95% Intercept -45.95413592 730.8679496 -0.06288 0.950256 -1534.68 1442.774 Processor Mz 0.193481924 2.557161 186 RAM 4.521583654 2.94317936 Hard Drive Capacity 174.042249 44.08895333 Given the regression equation above where the dependent variable is the price of a computer, which independent variables has the lowest p-value? Processor Mz Hard Drive Capacity O Cannot be determined with table given
