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 groes f to budget is $100 million. Use a significance level of a =0.05. Budget (Sin Millions 45 17 114 67 70 49 117 67 62 128 21 11 152 10 Gross ($) in Millions 12 103 72 131 121 105 105 51 95 203 24 13 289 46 114 Click the icon to view the critical values of the Pearson correlation coefficientr. 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 groes f to
budget is $100 million. Use a significance level of a 0.05.
Budget (S)in Millions
Gross (S)
in Millions
45
17
114
67
70
49
117
67
3.
62
128
21
11
152
10
103
72
131
121
105
105
51
95
203
24
13
289
48
114
12
Click the icon to view the critical values of the Pearson correlation coefficient r.
The regression equation is y= x
(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 groes f to budget is $100 million. Use a significance level of a 0.05. Budget (S)in Millions Gross (S) in Millions 45 17 114 67 70 49 117 67 3. 62 128 21 11 152 10 103 72 131 121 105 105 51 95 203 24 13 289 48 114 12 Click the icon to view the critical values of the Pearson correlation coefficient r. The regression equation is y= x (Round to one decimal place as needed.)
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