A box office analyst seeks to predict opening weekend box office gross for movies. Toward this goal, the analyst plans to use online trailer views as a predictor. For each of the 66 movies, the number of online trailer views from the release of the trailer through the Saturday before a movie opens and the opening weekend box office gross (in millions of dollars) are collected and stored in the accompanying table. The simple linear regression equation for these data is ?, =0.104 + 1.353X;. A movie, about to be released, has 50 million online trailer views. Complete parts (a) through (c) below. @ Click the icon to view the data on online trailer views and opening weekend box office gross. a. What is the predicted weekend box office gross? Yx=50 =% | milion (Round to three decimal places as needed.) b. Which interval is more useful here, the confidence interval estimate of the mean or the predicted interval for an individual response? Explain. (O A. Since there is less variation in predicting an individual value than in estimating a mean value, the prediction interval for an individual response is more useful. () B. Since there is more variation in estimating a mean value than in predicting an individual value, the confidence interval is more useful. Since a prediction about an individual value is desired, the prediction interval for an individual response is more useful. Since the value of the mean is known, the confidence interval estimate of the mean is more useful. c. Construct a 90% interval of the type selected in (b) when a movie has 50 million online trailer views. $| | milion