A company that holds the DVD distribution rights to movies previously released only in theaters wants to estimate sales revenue of DVDs based on box office success. The box office gross?(in $millions) for each of 22 movies in the year that they were released and the DVD revenue?(in $millions) in the following year are shown in the accompanying?table, along with the summary statistics. A linear regression was performed on this?data, and the result is the linear regression equation

Yi=10.459+0.3711X. Complete parts?(a) through?(d) below.

Data:

\fa. Determine the coefficient of determination, r, and interpret its meaning. 12 =1 (Round to four decimal places as needed.) Interpret the meaning of r. Choose the correct answer below. (Round to two decimal places as needed.) The value of r indicates that |% of the variation in can be explained by the variation in b. Determine the standard error of the estimate Syx = (Round to four decimal places as needed.) c. How useful do you think this regression model is for predicting DVD revenue? O A. It is somewhat useful for predicting DVD revenue because the coefficient of determination is closer to 1 than it is to 0. O B. It is very useful for predicting DVD revenue because the coefficient of determination is very close to 1. O C. It is not useful for predicting DVD revenue because the coefficient of determination is close to 1. O D. It is not useful for predicting DVD revenue because the coefficient of determination is close to 0.d. Can you think of other variables that might explain the variation in DVD revenue? A. Another variable could be the genre of movie. B. Another variable could be the amount of money spent on marketing the theater release. C. Another variable could be the time of year when the movie was released in theaters. D. Another variable could be the-amount of money spent on marketing the DVD release. WE. Another variable could be the time of year when the DVD was released