Suppose IQ scores were obtained for 20 randomly selected sets of siblings. The 20 pairs of measurements yield x= 99.49, y= 100.1, r=0.884, P-value = 0.000, and y = 6.29 +0.94x, where x represents the IQ score of the alue of y given that the younger child has an IQ of 104? Use a significance level of 0.05. 9 Click the icon to view the critical values of the Pearson correlation coefficient r. Critical Values of the Pearson Correlation Coefficient r he best predicted value of y is Round to two decimal places as needed.) Critical Values of the Pearson Correlation Coefficient r NOTE: To test H,: p=0 Jagainst H,: pz0, reject H, f the absolute value of r is greater than the critical value in the table. a =0.05 0.950 n a= 0.01 0.990 0.878 0.959 6 0.811 0.917 7 0.754 0.875 8 0.707 0.834 0.666 0.632 0.602 9 0.798 0.765 0.735 10 11 12 13 14 0.576 0.708 0.684 0.661 0.553 0.532 15 0.514 0.641 16 0.497 0623

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**Critical Values of the Pearson Correlation Coefficient r**

The table below presents the critical values of the Pearson correlation coefficient (r) for different sample sizes (n) at two significance levels: α = 0.05 and α = 0.01.

| n   | α = 0.05 | α = 0.01 |
|-----|----------|----------|
| 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    |
| 45  | 0.294    | 0.378    |
| 50  | 0.279    | 0.361    |
| 60  | 0.254    | 0.330    |
| 70  | 0.236    | 0.305    |
| 80  | 0.220    | 0.286    |
| 90  | 0.207    | 0.269    |
| 100 | 0.196    | 0.256    |

### Explanation

- **n**: Represents the sample size.
- **α = 0.05**: The critical value of r at a 5
Transcribed Image Text:**Critical Values of the Pearson Correlation Coefficient r** The table below presents the critical values of the Pearson correlation coefficient (r) for different sample sizes (n) at two significance levels: α = 0.05 and α = 0.01. | n | α = 0.05 | α = 0.01 | |-----|----------|----------| | 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 | | 45 | 0.294 | 0.378 | | 50 | 0.279 | 0.361 | | 60 | 0.254 | 0.330 | | 70 | 0.236 | 0.305 | | 80 | 0.220 | 0.286 | | 90 | 0.207 | 0.269 | | 100 | 0.196 | 0.256 | ### Explanation - **n**: Represents the sample size. - **α = 0.05**: The critical value of r at a 5
Suppose IQ scores were obtained for 20 randomly selected sets of siblings. The 20 pairs of measurements yield \( \bar{x} = 99.49 \), \( \bar{y} = 100.1 \), \( r = 0.884 \), P-value = 0.000, and \( y = 6.29 + 0.94x \), where \( x \) represents the IQ score of the younger child. Find the best predicted value of \( \hat{y} \) given that the younger child has an IQ of 104? Use a significance level of 0.05.

**The best predicted value of \( \hat{y} \) is** [Input Box]

(Round to two decimal places as needed.)

---

**Critical Values of the Pearson Correlation Coefficient r**

| n  | \( \alpha = 0.05 \) | \( \alpha = 0.01 \) |
|----|---------------------|---------------------|
| 4  | 0.950               | 0.990               |
| 5  | 0.878               | 0.959               |
| 6  | 0.811               | 0.917               |
| 7  | 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
Transcribed Image Text:Suppose IQ scores were obtained for 20 randomly selected sets of siblings. The 20 pairs of measurements yield \( \bar{x} = 99.49 \), \( \bar{y} = 100.1 \), \( r = 0.884 \), P-value = 0.000, and \( y = 6.29 + 0.94x \), where \( x \) represents the IQ score of the younger child. Find the best predicted value of \( \hat{y} \) given that the younger child has an IQ of 104? Use a significance level of 0.05. **The best predicted value of \( \hat{y} \) is** [Input Box] (Round to two decimal places as needed.) --- **Critical Values of the Pearson Correlation Coefficient r** | n | \( \alpha = 0.05 \) | \( \alpha = 0.01 \) | |----|---------------------|---------------------| | 4 | 0.950 | 0.990 | | 5 | 0.878 | 0.959 | | 6 | 0.811 | 0.917 | | 7 | 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
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