# Question: Assume that an r of 2 80 describes the strong

Assume that an r of 2 .80 describes the strong negative relationship between years of heavy smoking (X) and life expectancy (Y). Assume, furthermore, that the distributions of heavy smoking and life expectancy each have the following means and sums of squares:

= 5....... = 60

SSx = 35...... SSy = 70

(a) Determine the least squares regression equation for predicting life expectancy from years of heavy smoking.

(b) Determine the standard error of estimate, s y | x, assuming that the correlation of 2 .80 was based on n 5 50 pairs of observations.

(c) Supply a rough interpretation of s y | x.

(d) Predict the life expectancy for John, who has smoked heavily for eight years.

(e) Predict the life expectancy for Katie, who has never smoked heavily.

= 5....... = 60

SSx = 35...... SSy = 70

(a) Determine the least squares regression equation for predicting life expectancy from years of heavy smoking.

(b) Determine the standard error of estimate, s y | x, assuming that the correlation of 2 .80 was based on n 5 50 pairs of observations.

(c) Supply a rough interpretation of s y | x.

(d) Predict the life expectancy for John, who has smoked heavily for eight years.

(e) Predict the life expectancy for Katie, who has never smoked heavily.

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