SUMMARY OUTPUT Regression Statistics Multiple R 0.9067367 R Square 0.82217144 Adjusted R 0.79676736 Square Standard 10.8322954 Error rse Observations 9 ANOVA df SS Regression 1 Residual 7 Total 8 MS F Significance 3797.518523 3797.519 32.36376 0.0007438 821.3703658 117.3386 4618.888889 Coefficients Standard Error t Stat P-value Intercept Movie Tickets Sold 27.7713327 9.847135101 2.820245 0.025764 0.1157882 0.020353301 5.688915 0.000744 **The Regression Model output shows the relationship between Movie The Regression Model output shows the relationship between Movie Tickets Sold and Boxes of Popcorn Sold. Question: If your goal is to sell 100 boxes of popcorn today, how many movie tickets would you need to sell based on the regression model above. 624 529 305 400 468