The data below shows the annual salaries (in millions) and the number of viewers (in millions) of eight television actors and actresses. Answer parts a-c. + Click here to view a table of critical values for the correlation coefficient. Salary (x) Viewers (y) 92 16 11 4.4 12 5.8 33 1.2 The critical value is. (Round to three decimal places as needed.) c. Is there sufficient evidence to conclude that there is a linear correlation between the two variables? 13 10.2 O A. Yes, because the absolute value of the correlation coefficient is less than the critical value. O B. No, because the absolute value of the correlation coefficient is greater than the critical value. O C. No, because the absolute value of the correlation coefficient is less than the critical value. OD. Yes, because the absolute value of the correlation coefficient is greater than the critical value. C a. Find the value of the linear correlation coefficient r. r= (Round to three decimal places as needed.) b. Find the critical value of r from the table showing the critical values for the Pearson correlation coefficient using a = 0.05. 5 9.8 10 13.5 3 4.1 D Table of Critical Values 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 25 30 35 40 45 50 60 70 80 90 100 a = .05 .950 .878 .811 .754 .707 .666 .632 .602 .576 .553 .532 .514 .497 482 468 456 444 396 .361 .335 .312 294 279 254 236 220 207 .196 a = .01 .990 .959 .917 .875 .834 .798 .765 .735 .708 .684 .661 .641 .623 .606 .590 .575 .561 .505 .463 .430 402 .378 .361 .330 .305 286 269 256 NOTE: To test Ho: p= 0 against H; p = 0, reject Ho if the absolute value of ris greater than the critical value in the table. X

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The data below shows the annual salaries (in millions) and the number of viewers (in millions) of eight television actors and actresses. Answer parts a-c.

| Salary (x)  |  92  |  11  |  12  |  33  |  13  |  10  |  5  |  3  |
|-------------|------|------|------|------|------|------|------|----|
| Viewers (y) |  16  |  4.4 |  5.8 |  1.2 |  10.2|  9.8 |  13.5|  4.1|

[Click here to view a table of critical values for the correlation coefficient.](#)

### a. Find the value of the linear correlation coefficient r.
\[ r = \boxed{} \] (Round to three decimal places as needed.)

### b. Find the critical value of r from the table showing the critical values for the Pearson correlation coefficient using \(\alpha = 0.05\).
The critical value is \[ \boxed{} \] (Round to three decimal places as needed.)

### c. Is there sufficient evidence to conclude that there is a linear correlation between the two variables?
- [ ] A. Yes, because the absolute value of the correlation coefficient is less than the critical value.
- [ ] B. No, because the absolute value of the correlation coefficient is greater than the critical value.
- [ ] C. No, because the absolute value of the correlation coefficient is less than the critical value.
- [ ] D. Yes, because the absolute value of the correlation coefficient is greater than the critical value.

### Table of Critical Values
The table of critical values provided below will help you determine the critical value for the Pearson correlation coefficient based on the sample size (n) and the significance level (\(\alpha\)).

|  \( n \)  |  \(\alpha = .05\)  |  \(\alpha = .01\)  |
|:-----:|:------------:|:------------:|
|   4   |     .950     |     .990     |
|   5   |     .878     |     .959     |
|   6   |     .811     |     .917     |
|   7   |
Transcribed Image Text:The data below shows the annual salaries (in millions) and the number of viewers (in millions) of eight television actors and actresses. Answer parts a-c. | Salary (x) | 92 | 11 | 12 | 33 | 13 | 10 | 5 | 3 | |-------------|------|------|------|------|------|------|------|----| | Viewers (y) | 16 | 4.4 | 5.8 | 1.2 | 10.2| 9.8 | 13.5| 4.1| [Click here to view a table of critical values for the correlation coefficient.](#) ### a. Find the value of the linear correlation coefficient r. \[ r = \boxed{} \] (Round to three decimal places as needed.) ### b. Find the critical value of r from the table showing the critical values for the Pearson correlation coefficient using \(\alpha = 0.05\). The critical value is \[ \boxed{} \] (Round to three decimal places as needed.) ### c. Is there sufficient evidence to conclude that there is a linear correlation between the two variables? - [ ] A. Yes, because the absolute value of the correlation coefficient is less than the critical value. - [ ] B. No, because the absolute value of the correlation coefficient is greater than the critical value. - [ ] C. No, because the absolute value of the correlation coefficient is less than the critical value. - [ ] D. Yes, because the absolute value of the correlation coefficient is greater than the critical value. ### Table of Critical Values The table of critical values provided below will help you determine the critical value for the Pearson correlation coefficient based on the sample size (n) and the significance level (\(\alpha\)). | \( n \) | \(\alpha = .05\) | \(\alpha = .01\) | |:-----:|:------------:|:------------:| | 4 | .950 | .990 | | 5 | .878 | .959 | | 6 | .811 | .917 | | 7 |
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