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Life Expectancy an Actuary Wanted to Develop a Model to Predict

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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 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 <sub>1</sub>), the cholesterol level ( x <sub>2</sub>), and the number of points that the individual's blood pressure exceeded the recommended value ( x <sub>3</sub>). 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 <sub>1</sub> - 0.021 x <sub>2</sub> - 0.061 x <sub>3</sub>       S = 9.47 R - Sq = 22.5%   ANALYSIS OF VARIANCE   {Life Expectancy Narrative} Is there enough evidence at the 5% significance level to infer that the model is useful in predicting length of life?

S = 9.47 R - Sq = 22.5%
ANALYSIS OF VARIANCE 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 <sub>1</sub>), the cholesterol level ( x <sub>2</sub>), and the number of points that the individual's blood pressure exceeded the recommended value ( x <sub>3</sub>). 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 <sub>1</sub> - 0.021 x <sub>2</sub> - 0.061 x <sub>3</sub>       S = 9.47 R - Sq = 22.5%   ANALYSIS OF VARIANCE   {Life Expectancy Narrative} Is there enough evidence at the 5% significance level to infer that the model is useful in predicting length of life? {Life Expectancy Narrative} Is there enough evidence at the 5% significance level to infer that the model is useful in predicting length of life?


Definitions:

Annual Basis

Referring to events, measurements, or calculations that are considered or occur once every year.

Work Performance

The evaluation of how efficiently and effectively an individual or group completes tasks and achieves goals at work.

Employment Situations

The various conditions or scenarios relating to an individual's job status, including full-time, part-time, unemployed, or self-employed statuses.

Petty Difference

Small, insignificant disagreements or variations that are minor in the context of the larger situation.

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