A manufacturer of boiler drums wants to use regression to predict the number of man-hours needed to erect drums in the future. The manufacturer collected a random sample of 35 boilers and measured the following two variables: Give a practical interpretation of the coefficient of determination, . Express to the nearest whole percent.
A) About 43% of the sample variation in number of man-hours can be explained by the simple linear model.
B) About 2.06% of the sample variation in number of man-hours can be explained by the simple linear model.
C) Man hours needed to erect drums will be associated with boiler design pressure 43% of the time.
D) =1.88+0.00321x will be correct 43% of the time.

Question

A manufacturer of boiler drums wants to use regression to predict the number of man-hours needed to erect drums in the future. The manufacturer collected a random sample of 35 boilers and measured the following two variables:  Give a practical interpretation of the coefficient of determination,  . Express  to the nearest whole percent.
A) About 43% of the sample variation in number of man-hours can be explained by the simple linear model. 
B) About 2.06% of the sample variation in number of man-hours can be explained by the simple linear model. 
C) Man hours needed to erect drums will be associated with boiler design pressure 43% of the time. 
D) =1.88+0.00321x will be correct 43% of the time.

Quizplus · Accepted Answer

The Answer of A manufacturer of boiler drums wants to use regression to predict the number of man-hours needed to erect drums in the future. The manufacturer collected a random sample of 35 boilers and measured the following two variables:  Give a practical interpretation of the coefficient of determination,  . Express  to the nearest whole percent.
A) About 43% of the sample variation in number of man-hours can be explained by the simple linear model. 
B) About 2.06% of the sample variation in number of man-hours can be explained by the simple linear model. 
C) Man hours needed to erect drums will be associated with boiler design pressure 43% of the time. 
D) =1.88+0.00321x will be correct 43% of the time.

A Manufacturer of Boiler Drums Wants to Use Regression to Predict