Suppose IQ scores were obtained from randomly selected . Forsuch pairs of people, the linear correlation coefficient isand the equation of the regression line is , where x represents the IQ score of the . Also, thex values have a mean ofand they values have a mean of . What is the best predicted IQ of the , given that thehas an IQ of ? Use a significance level of 0.05.

Suppose IQ scores were obtained from randomly selected couples. For 20 such pairs of people, the linear correlation coefficient is 0.794 and the equation of the regression line is y = 31.12 + 0.7x, where x represents the IQ score of the wife. Also, the 20 x values have a mean of 103 and the 20 y values have a mean of 102.9. What is the best predicted IQ of the husband, given that the wife has an IQ of 96? Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient r. The best predicted IQ of the husband is (Round to two decimal places as needed.) i Critical Values of the Pearson Correlation Coefficient r - X Critical Values of the Pearson Correlation Coefficient r NOTE: To test Ho: p= 0 a = 0.05 ( = 0.01 against H, : p #0, reject 0.950 0.990 Ho if the absolute value 0.878 0.959 0.811 of r is greater than the 0.917 0.754 critical value in the 0.875 table 0.707 9 0.834 0.666 0.798 0.632 0.765 0.602 0.735 0.576 0.708 0.553 0.684 0.532 0.661 0.514 .64 0.497 0.623 0.482 0.606 0.468 0.590 0.456 0.575 0.444 0.561 25 0.396 0.505