A box office analyst seeks to predict opening weekend box office gross for movies. Toward this goal, the analyst plans t
Posted: Wed May 04, 2022 12:10 pm
box fix gross, online trailer reviews
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. A linear regression was performed on this data, and the result is the linear regression equation Y = -0.601 +1.3868X. Complete parts (a) through (c) below. Click on the icon to view the data table. a. Determine the coefficient of determination, 2, and interpret its meaning. 2= (Round to three decimal places s needed.). Interpret the meaning of r². ▼can be explained by the variation in The value of r² indicates that % of the variation in (Round to one decimal place as needed.) b. Determine the standard error of the estimate. Syx = (Round to two decimal places as needed.) c. How useful do you think this regression model is for predicting movie weekend box office gross? OA. It is not useful for predicting box office gross because the coefficient of determination is close to 1. OB. It is somewhat useful for predicting box office gross because the coefficient of determination is closer to 1 than it is to 0. OC. It is not useful for predicting box office gross because the coefficient of determination is close to 0. OD. It is very useful for predicting box office gross because the coefficient of determination is very close to 1.
Movie Data Online Trailer Views (millions) 57.578 11.134 11.085 9.632 84.565 33.708 23.625 4.598 3.777 46.425 6.973 26.952 3.802 55.630 5.920 10.391 9.596 2.423 3.613 6.021 6.683 7.523 31.306 2.645 2 790 Opening Weekend Box Office Gross ($millions) 34.970 9.175 5.492 24.720 100.015 63.038 20.849 10.572 10.952 33.987 18.497 13.686 0.177 142.670 10.272 10.708 5.364 2.538 0.932 4.738 2.612 2.170 95.811 4.753 15 432 Online Trailer Views (millions) 6.094 32.967 5.502 43.514 4.989 6.630 0.942 2.258 11.327 8.966 15.177 13.714 31.231 52.612 16.235 6.884 11.698 2.827 23.075 12.606 0.826 27.536 7.273 3.323 4 267 Opening Weekend Box Office Gross ($millions) 6.488 59.219 19.034 89.750 4.690 33.377 3.705 1.513 18.470 12.202 4.357 30.436 53.003 46.607 13.003 3.776 18.223 3.471 13.602 40.011 1.385 20.130 3.404 1.207 10 951 - X
31.306 2.645 2.790 9.022 52.336 6.449 33.067 7.164 15.337 58.889 82.692 95.811 4.753 15.432 12.984 54.110 4.828 17.590 10.976 10.935 43.050 171.495 7.273 3.323 4.267 3.790 7.597 12.912 7.067 5.020 7.739 16.795 7.643 3.404 1.207 10.951 8.344 11.614 13.501 5.106 1.985 22.800 13.689 2.080
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. A linear regression was performed on this data, and the result is the linear regression equation Y = -0.601 +1.3868X. Complete parts (a) through (c) below. Click on the icon to view the data table. a. Determine the coefficient of determination, 2, and interpret its meaning. 2= (Round to three decimal places s needed.). Interpret the meaning of r². ▼can be explained by the variation in The value of r² indicates that % of the variation in (Round to one decimal place as needed.) b. Determine the standard error of the estimate. Syx = (Round to two decimal places as needed.) c. How useful do you think this regression model is for predicting movie weekend box office gross? OA. It is not useful for predicting box office gross because the coefficient of determination is close to 1. OB. It is somewhat useful for predicting box office gross because the coefficient of determination is closer to 1 than it is to 0. OC. It is not useful for predicting box office gross because the coefficient of determination is close to 0. OD. It is very useful for predicting box office gross because the coefficient of determination is very close to 1.
Movie Data Online Trailer Views (millions) 57.578 11.134 11.085 9.632 84.565 33.708 23.625 4.598 3.777 46.425 6.973 26.952 3.802 55.630 5.920 10.391 9.596 2.423 3.613 6.021 6.683 7.523 31.306 2.645 2 790 Opening Weekend Box Office Gross ($millions) 34.970 9.175 5.492 24.720 100.015 63.038 20.849 10.572 10.952 33.987 18.497 13.686 0.177 142.670 10.272 10.708 5.364 2.538 0.932 4.738 2.612 2.170 95.811 4.753 15 432 Online Trailer Views (millions) 6.094 32.967 5.502 43.514 4.989 6.630 0.942 2.258 11.327 8.966 15.177 13.714 31.231 52.612 16.235 6.884 11.698 2.827 23.075 12.606 0.826 27.536 7.273 3.323 4 267 Opening Weekend Box Office Gross ($millions) 6.488 59.219 19.034 89.750 4.690 33.377 3.705 1.513 18.470 12.202 4.357 30.436 53.003 46.607 13.003 3.776 18.223 3.471 13.602 40.011 1.385 20.130 3.404 1.207 10 951 - X
31.306 2.645 2.790 9.022 52.336 6.449 33.067 7.164 15.337 58.889 82.692 95.811 4.753 15.432 12.984 54.110 4.828 17.590 10.976 10.935 43.050 171.495 7.273 3.323 4.267 3.790 7.597 12.912 7.067 5.020 7.739 16.795 7.643 3.404 1.207 10.951 8.344 11.614 13.501 5.106 1.985 22.800 13.689 2.080