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 ​$110 million. Use a

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.1: Measures Of Center
Problem 9PPS
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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

​$110

million. Use a significance level of

alpha equals 0.05

.

Budget left parenthesis $ right parenthesis

in Millions

42

24

119

69

77

48

121

62

5

63

129

21

12

154

4

 

Gross left parenthesis $ right parenthesis

in Millions

117

16

112

66

111

111

104

90

62

104

219

27

20

288

42

The regression equation is ŷ = __ + __x.

(Round to one decimal place as needed.)

 

The linear coefficient of correlation r = ___

(Round to three decimal places as needed.)

 

The critical value of r = ____

 

The best predicted gross for a move with a $110 million budget is _____.

 

 

Critical Values of the Pearson Correlation Coefficient r
x = 0.05
|0.950
0.878
l0.811
NOTE: To test H: p= 0
Jagainst H,: p# 0, reject
Ho if the absolute value of
ris greater than the
critical value in the table.
a= 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
in
6
17
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
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40
Transcribed Image Text:Critical Values of the Pearson Correlation Coefficient r x = 0.05 |0.950 0.878 l0.811 NOTE: To test H: p= 0 Jagainst H,: p# 0, reject Ho if the absolute value of ris greater than the critical value in the table. a= 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 in 6 17 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 18 19 10 11 12 13 14 15 16 17 18 19 20 25 30 35 40
45
50
60
70
80
90
100
0.294
0.279
0.254
0.236
0.220
0.207
0.196
0.378
0.361
0.330
0.305
0.286
0.269
0.256
In
x = 0.05
x = 0.01
%3D
Transcribed Image Text:45 50 60 70 80 90 100 0.294 0.279 0.254 0.236 0.220 0.207 0.196 0.378 0.361 0.330 0.305 0.286 0.269 0.256 In x = 0.05 x = 0.01 %3D
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