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A Manufacturer of Boiler Drums Wants to Use Regression to Predict

Question 79

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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: 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. Give a practical interpretation of the coefficient of determination, 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. . Express 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. 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) 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. =1.88+0.00321x will be correct 43% of the time.

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