A movie studio wishes to determine the relationship between the revenue from rental of comedies on streaming services and the revenue generated from the theatrical release of such movies The studio has the following bivariate data from a sample of fifteen comedies released over the past five years These data give the revenue x from theatrical release in millions of dollars and the revenue y from streaming service rentals in millions of dollars for each of the fifteen movies Also shown are the scatter plot and the least squares regression line for the data The equation for this line is y 3 13 0 16x Theater revenue x in millions of dollars 25 6 48 8 43 8 62 1 27 7 31 2 12 9 7 7 25 9 66 1 1 1 25 9 66 1 15 0 20 8 29 0 59 9 36 5 Send data to calculator Rental revenue y in millions of dollars 7 4 16 1 7 5 10 3 11 9 5 6 10 1 2 2 9 2 10 5 Send data to Excel 9 2 10 5 1 8 4 8 3 6 16 6 12 3 Based on the studio s data and the regression line complete the following Rental revenue in millions of dollars 16 14 12 10 keni in mill X 26 X X xx Theater revenue in millions of dollars b According to the regression equation for an increase of one million dollars in theater revenue there is a corresponding increase of how many million dollars in rental revenue a For these data values for theater revenue that are less than the mean of the values for theater revenue tend to be paired with values for rental revenue that are Choose one the mean of the values for rental revenue X