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. Interpret the coefficient .

Question

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. Interpret the coefficient  .

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The Answer of 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. Interpret the coefficient  .

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