To study how social media may influence the products consumers​buy, researchers collected the opening weekend box office revenue​(in millions of​ dollars) for 23 recent movies and the social mediamessage rate​ (average number of messages referring to the movieper​ hour). The data are available below. Conduct a complete simplelinear regression analysis of the relationship between revenue​ (y)and message rate​ (x).
Message Rate | Revenue​ ($millions) |
|---|
1363.2 | | 146 | |
1219.2 | | 79 | |
681.2 | | 67 | |
583.6 | | 37 | |
454.7 | | 35 | |
413.9 | | 34 | |
306.2 | | 21 | |
289.8 | | 18 | |
245.1 | | 18 | |
163.9 | | 17 | |
148.9 | | 16 | |
147.4 | | 15 | |
147.3 | | 15 | |
123.6 | | 14 | |
118.1 | | 13 | |
108.9 | | 13 | |
100.1 | | 12 | |
90.3 | | 11 | |
89.1 | | 6 | |
70.1 | | 6 | |
56.2 | | 5 | |
41.6 | | 3 | |
8.4 | | 1 | |
The least squares regression equation is ModifyingAbove y withcaret=________+ ( _______ )x. ​(Round to three decimal places as​needed.) |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
PrintDone
