Can movie rental revenue be predicted? 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+3.620.15x . Theater revenue, x (in millions of dollars) Rental revenue, y (in millions of dollars) 60.9 9.5 19.9 5.0 25.4 7.0 25.8 9.1 14.4 1.6 30.7 5.3 49.0 16.5 27.6 11.6 27.4 3.0 12.9 10.6 59.7 16.2 7.1 3.6 36.5 12.3 66.2 9.9 44.5 7.3 Send data to calculator Send data to Excel Rental revenue (in millions of dollars) y 2 4 6 8 10 12 14 16 18 x 10 20 30 40 50 60 70 0 Theater revenue (in millions of dollars) Based on the studio's data and the regression line, answer the following. (a) From the regression equation, what is the predicted rental revenue (in millions of dollars) when the theater revenue is 45.6 million dollars? Round your answer to one or more decimal places. (b) From the regression equation, what is the predicted rental revenue (in millions of dollars) when the theater revenue is 66.2 million dollars? Round your answer to one or more decimal places.
Can movie rental revenue be predicted?
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
from theatrical release (in millions of dollars) and the revenue
from streaming service rentals (in millions of dollars) for each of the fifteen movies. Also shown are the
.
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Based on the studio's data and the regression line, answer the following.
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