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Home Q & A Board Science-Related Homework Help Mathematics Statistics and Probability
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lbelcher lbelcher
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4 years ago
Provide an appropriate response.

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:
MANHRS: y = Number of man-hours required to erect the drum
PRESSURE: x1= Boiler design pressure (pounds per square inch, i.e., psi)
Initially, the simple linear model E(y) = β0 + β1x1 was fit to the data. A printout for the analysis appears below:

UNWEIGHTED LEAST SQUARES LINEAR REGRESSION OF MANHRS







Give a practical interpretation of the coefficient of determination, R2. Express R2 to the nearest whole percent.

▸ About 43% of the sample variation in number of man-hours can be explained by the simple linear model.

▸ About 2.06% of the sample variation in number of man-hours can be explained by the simple linear model.

▸ = 1.88 + 0.00321x will be correct 43% of the time.

▸ Man hours needed to erect drums will be associated with boiler design pressure 43% of the time.
Textbook 
Statistics: Informed Decisions Using Data

Statistics: Informed Decisions Using Data


Edition: 5th
Author:
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gdchavis1gdchavis1
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lbelcher Author
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4 years ago
Thank you, thank you, thank you!
Holly72492
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Yesterday
I appreciate what you did here, answered it right Smiling Face with Open Mouth
mkyoungs
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2 hours ago
Correct Slight Smile TY
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