Life Expectancy Narrative An Actuary Wanted to Develop a Model to Predict How

question 149

Essay

Life Expectancy Narrative
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 that 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%
Analysis of Variance
-Refer to Life Expectancy Narrative. Is there sufficient evidence at the 5% significance level to infer that the number of points that the individual's blood pressure exceeded the recommended value and the age at death are negatively linearly related? Justify your conclusion.

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