Statistics: Regression
A sample of 50 women is obtained, and their heights (in inches) and pulse rates (in beats per minute) are measured. The linear correlation coefficient is .296 and the equation of the regression line is y (^ over the y) = 17.9 + .920x, where x represents height. The mean of the 50 heights is 62.9 in. and the mean of the 50 pulse rates is 74.6 beats per minute. Find the best predicted pulse rate of a woman who is 65 in. tall. Use a significance level of alpha = .01

The best predicted pulse rate of a woman who is 65 in. tall is how many beats per minute. Round to two dec

Question

Statistics: Regression
A sample of 50 women is obtained, and their heights (in inches) and pulse rates (in beats per minute) are measured. The linear correlation coefficient is .296 and the equation of the regression line is y (^ over the y) = 17.9 + .920x, where x represents height. The mean of the 50 heights is 62.9 in. and the mean of the 50 pulse rates is 74.6 beats per minute. Find the best predicted pulse rate of a woman who is 65 in. tall. Use a significance level of alpha = .01

The best predicted pulse rate of a woman who is 65 in. tall is how many beats per minute. Round to two dec

anonymous · Answer

I don't see why the significance level or anything else is relevant here... for such a prediction surely you just find $\hat{y}(65)=\dots$?