Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression equation, letting the budget be the predictor (x) variable. Find the best predicted amount that a movie will gross f ts budget is $100 million. Use a significance level of a 0.05. Budget (Sin Millions Gross (5) in Millions 45 17 114 67 70 49 117 67 3 62 128 21 11 152 10 114 12 103 72 131 121 105 105 51 95 203 24 13 289 46 Click the icon to view the critical values of the Pearson comrelation coefficient r. The regression equation is y (Round to one decimal place as needed.)

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Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression equation, letting the budget be the predictor (x) variable. Find the best predicted amount that a movie will gross f its
budget is $100 million. Use a significance level of a= 0.05.
Budget ($)in Millions
45
17
114
67
70
49
117
67
3
62
128
21
11
152
10
Gross (5)
in Millions
114
12
103
72
131
121
105
105
51
95
203
24
13
289
46
Click the icon to view the critical values of the Pearson correlation coefficient r.
The regression equation is y= .
(Round to one decimal place as needed.)
Transcribed Image Text:Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression equation, letting the budget be the predictor (x) variable. Find the best predicted amount that a movie will gross f its budget is $100 million. Use a significance level of a= 0.05. Budget ($)in Millions 45 17 114 67 70 49 117 67 3 62 128 21 11 152 10 Gross (5) in Millions 114 12 103 72 131 121 105 105 51 95 203 24 13 289 46 Click the icon to view the critical values of the Pearson correlation coefficient r. The regression equation is y= . (Round to one decimal place as needed.)
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