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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 ( ), the cholesterol level ( ), and the number of points by which the individual's blood pressure exceeded the recommended value ( ). A random sample of 40 individuals was selected. The computer output of the multiple regression model is shown below:
THE REGRESSION EQUATION IS S = 9.47 R-Sq = 22.5%. 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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