REGRESSION MODEL FOR MOVIE GROSS EARNINGS SUMMARY OUTPUT Regression Statistics Multiple R 0.6346 R Square 0.4027 Adjusted R Square 0.3484 Standard Error 97.4460 Observations 85 ANOVA of SS MS F Significance F Regression 7 493004 70429 7.417 0.000 Residual 77 731171 9496 Total 84 1224175 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 20135.3745 25832.7169 0.7795 0.4381 -31304.1366 71574.8856 YEAR -9.9893 12.8246 -0.7789 0.4384 -35.5264 15.5478 PG13_RATING -44.4127 40.7468 -1.0900 0.2791 -125.5501 36.7246 R RATING -19.7600 51.0718 0.3869 0.6999 -121.4570 81.9369 DURATION 0.3191 0.8530 0.3740 0.7094 -1.3795 2.0177 BUDGET 1.0460 0.2594 4.0328 0.0001 0.5295 1.5624 FACES -9.1013 4.7263 -1.9257 0.0578 -18.5125 0.3100 CASTLIKES 0.0009 0.0007 1.3714 0.1742 -0.0004 0.0022OBS TITLE GROSS YEAR PG13_RATING R RATING DURATION BUDGET FACES CASTLIKES 13 Hours 52.8 2016 144 50 3580 2 22 Jump Street 191.6 2014 112 50 19428 3 OONO 3 Days to Kill 30.7 2014 123 28 1286 4 300: Rise of an Empire 106.4 2014 102 110 10583 5 A Most Violent Year 5.7 2014 . -0 -00 - OC 125 20 0 3979 6 Allegiant 66.0 2016 120 110 12452 American Sniper 350.1 2014 133 58.8 DOW 16277 8 Ant-Man 180.2 2015 ooo. . . 0 - 0 - -0- 117 130 5730 . . 83 Warcraft 47.0 2016 123 160 5505 84 X-Men: Apocalypse NOO. 155.0 2016 144 178 49684 85 X-Men: Days of Future Past 233.9 2014 149 200 91434