Life Expectancy An actuary wanted to develop a model to predict how long individuals will live. After consulting a number of physicians, she collected the age at death ( y ), the average number of hours of exercise per week ( x 1), the cholesterol level ( x 2), and the number of points that the individual's blood pressure exceeded the recommended value ( x 3). A random sample of 40 individuals was selected. The computer output of the multiple regression model is shown below. THE REGRESSION EQUATION IS y = 55.8 + 1.79 x 1 - 0.021 x 2 - 0.061 x 3 
S = 9.47 R - Sq = 22.5%
ANALYSIS OF VARIANCE 
{Life Expectancy Narrative} Is there enough evidence at the 1% significance level to infer that the average number of hours of exercise per week and the age at death are linearly related?
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