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 if its budget is ​$135 million. Use a significance level of alpha equals 0.05 . Budget left parenthesis $ right parenthesis in Millions 45 24 115 74 72 48 117 67 4 60 124 24 6 152 8   Gross left parenthesis $ right parenthesis in Millions 115 10 95 69 127 112 93 101 50 102 223 26 18 282 56   The regression equation is ŷ = __ + __x. (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 if its budget is

​$135

million. Use a significance level of

alpha equals 0.05

.

Budget left parenthesis $ right parenthesis

in Millions

45

24

115

74

72

48

117

67

4

60

124

24

6

152

8

 

Gross left parenthesis $ right parenthesis

in Millions

115

10

95

69

127

112

93

101

50

102

223

26

18

282

56

 

The regression equation is ŷ = __ + __x.

(Round to one decimal place as needed.)

Critical Values of the Pearson Correlation Coefficient r
NOTE: To test H,: p= 0
against H,: p#0, reject
H, if the absolute value of
r is greater than the
critical value in the table.
x = 0.05
0.950
0.878
0.811
0.754
0.707
0.666
0.632
0.602
0.576
0.553
0.532
0.514
0.497
0.482
0.468
0.456
0.444
0.396
0.361
0.335
|0.312
0.294
0.279
0.254
In
x = 0.01
0.990
0.959
0.917
0.875
0.834
0.798
0.765
0.735
0.708
0.684
0.661
0.641
0.623
0.606
0.590
0.575
0.561
0.505
0.463
0.430
0.402
0.378
0.361
0.330
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Transcribed Image Text:Critical Values of the Pearson Correlation Coefficient r NOTE: To test H,: p= 0 against H,: p#0, reject H, if the absolute value of r is greater than the critical value in the table. x = 0.05 0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 0.576 0.553 0.532 0.514 0.497 0.482 0.468 0.456 0.444 0.396 0.361 0.335 |0.312 0.294 0.279 0.254 In x = 0.01 0.990 0.959 0.917 0.875 0.834 0.798 0.765 0.735 0.708 0.684 0.661 0.641 0.623 0.606 0.590 0.575 0.561 0.505 0.463 0.430 0.402 0.378 0.361 0.330 14 15 7 18 19 10 11 12 13 14 15 16 17 18 19 20 25 30 35 40 45 50 60
70
80
90
100
0.236
0.220
0.207
0.196
0.305
0.286
0.269
l0.256
In
x = 0.05
x = 0.01
Transcribed Image Text:70 80 90 100 0.236 0.220 0.207 0.196 0.305 0.286 0.269 l0.256 In x = 0.05 x = 0.01
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