The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. F the best predicted number of viewers for a television star with a salary of $3 million. Is the result close to the actual number of viewers, 4.0 million? Use a significance level of 0.05. 7 5 2 6 4 9 15 Salary (millions of $) Viewers (millions) 99 4.1 2.2 1.4 4.4 8.3 8.8 4.9 4.3 Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y =+x (Round to three decimal places as needed.)

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The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find
the best predicted number of viewers for a television star with a salary of $3 million, Is the result close to the actual number of viewers, 4.0 million? Use a
significance level of 0.05.
4
9.
15
Salary (millions of $)
Viewers (millions)
99
4.1
2.2
1.4
4.4
8.3
8.8
4.9
4.3
Click the icon to view the critical values of the Pearson correlation coefficient r.
What is the regression equation?
y =+x (Round to three decimal places as needed.)
Transcribed Image Text:The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find the best predicted number of viewers for a television star with a salary of $3 million, Is the result close to the actual number of viewers, 4.0 million? Use a significance level of 0.05. 4 9. 15 Salary (millions of $) Viewers (millions) 99 4.1 2.2 1.4 4.4 8.3 8.8 4.9 4.3 Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y =+x (Round to three decimal places as needed.)
Critical Values of the Pearson Correlation Coefficient r
α-0.05
a = 0.01
NOTE: To test Ho: p=0
against H,: p#0, reject Ho
if the absolute value of r is
greater than the critical
value in the table.
4
0.950
0.990
0.878
0.959
0.811
0.917
0.754
0.875
8
0.707
0.834
9.
0.666
0.798
10
0.632
0.765
11
0.602
0.735
12
0.576
0.708
13
0.553
0.684
14
0.532
0.661
15
0.514
0.641
16
0.497
0.623
17
0.482
0.606
18
0.468
0.590
19
0.456
0.575
20
0.444
0.561
25
0.396
0.505
30
0.361
0.463
35
0.335
0.430
40
0.312
0.402
Transcribed Image Text:Critical Values of the Pearson Correlation Coefficient r α-0.05 a = 0.01 NOTE: To test Ho: p=0 against H,: p#0, reject Ho if the absolute value of r is greater than the critical value in the table. 4 0.950 0.990 0.878 0.959 0.811 0.917 0.754 0.875 8 0.707 0.834 9. 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576 0.708 13 0.553 0.684 14 0.532 0.661 15 0.514 0.641 16 0.497 0.623 17 0.482 0.606 18 0.468 0.590 19 0.456 0.575 20 0.444 0.561 25 0.396 0.505 30 0.361 0.463 35 0.335 0.430 40 0.312 0.402
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