On the basis of the sample results, the regression equation is: = 62.65 – 1.86x1 – 0.52x2 a. How much natural gas can homeowners expect to use per month if they install 6 inches of insulation and the outdoor temperature is 40 degrees F? (Round your answer to 2 decimal places.) Natural gas 30.69 cubic feet
On the basis of the sample results, the regression equation is: = 62.65 – 1.86x1 – 0.52x2 a. How much natural gas can homeowners expect to use per month if they install 6 inches of insulation and the outdoor temperature is 40 degrees F? (Round your answer to 2 decimal places.) Natural gas 30.69 cubic feet
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 6PPS
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Cellulon, a manufacturer of home insulation, wants to develop guidelines for builders and consumers on how the thickness of the insulation in the attic of a home and the outdoor temperature affect natural gas consumption. In the laboratory, it varied the insulation thickness and temperature. A few of the findings are:
Expert Solution
Step 1
Suppose y=a0+a1 x1+ a2 x2 is the fitted regression line, then expected value of the dependent variable y for given values of x1 and x2 is obtained by plugging in the values of x1 and x2 in the fitted regression line.
(a). At x1 = 6, x2 = 40, the expected value of gas consumption is:
y^ = 62.65-1.866 -0.5240
= 30.69
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