Essay
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 (x1),the cholesterol level (x2),and the number of points that the individual's blood pressure exceeded the recommended value (x3).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 + 1.79x1− 0.021x2− 0.061x3 S = 9.47 R−Sq = 22.5% ANALYSIS OF VARIANCE
-{Life Expectancy Narrative} Interpret the coefficient b2.
Correct Answer:

Verified
b2 = −0.021.This tells us that for each a...View Answer
Unlock this answer now
Get Access to more Verified Answers free of charge
Correct Answer:
Verified
View Answer
Unlock this answer now
Get Access to more Verified Answers free of charge
Q113: The coefficient of determination R<sup>2</sup> measures the
Q114: If the value of the Durbin-Watson statistic,d,satisfies
Q115: An adverse effect of multicollinearity is that
Q116: The range of the values of the
Q117: When an additional explanatory variable is introduced
Q119: Student's Final Grade <br>A statistics professor investigated
Q120: When an additional explanatory variable is introduced
Q121: For a multiple regression model the following
Q122: To use the Durbin-Watson test to test
Q123: In a multiple regression analysis,if the model