A simpler model. In the multiple regression analysis using all four
explanatory variables, Theaters and Budget appear to be the least
helpful (given that the other two explanatory variables are in the
model).
(a) Perform a new analysis using only the movie’s opening-weekend revenue and IMDb rating. Give the estimated regression equation for this analysis.
(b) What percent of the variability in USRevenue is explained by this model?
(a) Perform a new analysis using only the movie’s opening-weekend revenue and IMDb rating. Give the estimated regression equation for this analysis.
Opening | Ratings | |||||
6279 | 88 | |||||
1773 | 72 | |||||
1635 | 44 | |||||
1061 | 75 | |||||
1581 | 66 | |||||
3781 | 66 | |||||
6524 | 58 | |||||
7520 | 80 | |||||
5640 | 77 | |||||
1901 | 63 | |||||
r² | 0.194 | |||||
r | 0.440 | |||||
Std. Error | 11.839 | |||||
n | 10 | |||||
k | 1 | |||||
Dep. Var. | Ratings | |||||
ANOVA table | ||||||
Source | SS | df | MS | F | p-value | |
Regression | 269.70 | 1 | 269.6969 | 1.92 | .2028 | |
Residual | 1,121.20 | 8 | 140.1504 | |||
Total | 1,390.90 | 9 | ||||
Regression output | confidence interval | |||||
variables | coefficients | std. error | t (df=8) | p-value | 95% lower | 95% upper |
Intercept | 60.5986 | |||||
Opening | 0.0022 | 0.0016 | 1.387 | .2028 | -0.0015 | 0.0059 |
The estimated regression equation is:
Ratings = 60.5986 + 0.0022*Opening
(b) What percent of the variability in USRevenue is explained by this model?
19.4%
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A simpler model. In the multiple regression analysis using all four explanatory variables, Theaters and Budget...
2. Regression review II, problem 6 Aa Aa E This question aims to review the La Quinta Inn model building exercise as discussed in lecture and described in the course packet. The data collected can be obtained in this Excel file. (Note: Reload this file each time you go through this problem.) The coefficient of multiple determination for the regression of profit margin (MARGIN) on all the other variables is The adjusted coefficient of multiple determination is From the regression...