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Suppose IQ scores were obtained for 20 randomly selected sets of couples. The 20 pairs of measurements yield $\bar{x} = 98.1$, $\bar{y} = 98.7$, $r = 0.906$, P-value = 0.000, and $\hat{y} = -1.91 + 1.03x$, where $x$ represents the IQ score of the husband. Find the best predicted value of $y$ given that the husband has an IQ of 91? Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient $r$. The best predicted value of $y$ is $oxed{}$ (Round to two decimal places as needed.) 

          Suppose IQ scores were obtained for 20 randomly selected sets of couples. The 20 pairs of measurements yield $\bar{x} = 98.1$, $\bar{y} = 98.7$, $r = 0.906$, P-value = 0.000, and $\hat{y} = -1.91 + 1.03x$, where $x$ represents the IQ score of the husband. Find the best predicted value of $y$ given that the husband has an IQ of 91? Use a significance level of 0.05.
Click the icon to view the critical values of the Pearson correlation coefficient $r$.
The best predicted value of $y$ is $oxed{}$ 
(Round to two decimal places as needed.)
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Suppose IQ scores were obtained for 20 randomly selected sets of couples. The 20 pairs of measurements yield x̅ = 98.1, y̅ = 98.7, r = 0.906, P-value = 0.000, and ŷ = -1.91 + 1.03x, where x represents the IQ score of the husband. Find the best predicted value of y given that the husband has an IQ of 91? Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient r. The best predicted value of y is oxed (Round to two decimal places as needed.)

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Suppose IQ scores were obtained for 20 randomly selected sets of couples. The 20 pairs of measurements yielded 98.1, 98.7, and 90.6. The p-value is 0.000, and the correlation coefficient is -1.911.03. These values represent the IQ score of the husband. Find the best predicted value of the wife's IQ given that the husband has an IQ of 91. Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient r.
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