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Electric Usage Narrative the Power Company Claims the Amount of Electricity Used by Electricity

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Electric Usage Narrative
The power company claims the amount of electricity used by a house (y) depends on Electric Usage Narrative The power company claims the amount of electricity used by a house (y) depends on   = square metres of heated space,   = mean outside temperature, and   = mean hours of sunlight per day. Partial statistical software output is given below. Regression Analysis The regression equation is = 357 + 0.808   - 16.6   + 40     S = 267.7 R-sq = 82.0% R-sq(adj) = 76.6% Analysis of Variance   -Refer to Electric Usage Narrative. Does the regression model appear to be useful? Justify your answer. (Use   = 0.05.) = square metres of heated space, Electric Usage Narrative The power company claims the amount of electricity used by a house (y) depends on   = square metres of heated space,   = mean outside temperature, and   = mean hours of sunlight per day. Partial statistical software output is given below. Regression Analysis The regression equation is = 357 + 0.808   - 16.6   + 40     S = 267.7 R-sq = 82.0% R-sq(adj) = 76.6% Analysis of Variance   -Refer to Electric Usage Narrative. Does the regression model appear to be useful? Justify your answer. (Use   = 0.05.) = mean outside temperature, and Electric Usage Narrative The power company claims the amount of electricity used by a house (y) depends on   = square metres of heated space,   = mean outside temperature, and   = mean hours of sunlight per day. Partial statistical software output is given below. Regression Analysis The regression equation is = 357 + 0.808   - 16.6   + 40     S = 267.7 R-sq = 82.0% R-sq(adj) = 76.6% Analysis of Variance   -Refer to Electric Usage Narrative. Does the regression model appear to be useful? Justify your answer. (Use   = 0.05.) = mean hours of sunlight per day. Partial statistical software output is given below.
Regression Analysis
The regression equation is = 357 + 0.808 Electric Usage Narrative The power company claims the amount of electricity used by a house (y) depends on   = square metres of heated space,   = mean outside temperature, and   = mean hours of sunlight per day. Partial statistical software output is given below. Regression Analysis The regression equation is = 357 + 0.808   - 16.6   + 40     S = 267.7 R-sq = 82.0% R-sq(adj) = 76.6% Analysis of Variance   -Refer to Electric Usage Narrative. Does the regression model appear to be useful? Justify your answer. (Use   = 0.05.) - 16.6 Electric Usage Narrative The power company claims the amount of electricity used by a house (y) depends on   = square metres of heated space,   = mean outside temperature, and   = mean hours of sunlight per day. Partial statistical software output is given below. Regression Analysis The regression equation is = 357 + 0.808   - 16.6   + 40     S = 267.7 R-sq = 82.0% R-sq(adj) = 76.6% Analysis of Variance   -Refer to Electric Usage Narrative. Does the regression model appear to be useful? Justify your answer. (Use   = 0.05.) + 40 Electric Usage Narrative The power company claims the amount of electricity used by a house (y) depends on   = square metres of heated space,   = mean outside temperature, and   = mean hours of sunlight per day. Partial statistical software output is given below. Regression Analysis The regression equation is = 357 + 0.808   - 16.6   + 40     S = 267.7 R-sq = 82.0% R-sq(adj) = 76.6% Analysis of Variance   -Refer to Electric Usage Narrative. Does the regression model appear to be useful? Justify your answer. (Use   = 0.05.) Electric Usage Narrative The power company claims the amount of electricity used by a house (y) depends on   = square metres of heated space,   = mean outside temperature, and   = mean hours of sunlight per day. Partial statistical software output is given below. Regression Analysis The regression equation is = 357 + 0.808   - 16.6   + 40     S = 267.7 R-sq = 82.0% R-sq(adj) = 76.6% Analysis of Variance   -Refer to Electric Usage Narrative. Does the regression model appear to be useful? Justify your answer. (Use   = 0.05.) S = 267.7 R-sq = 82.0% R-sq(adj) = 76.6%
Analysis of Variance Electric Usage Narrative The power company claims the amount of electricity used by a house (y) depends on   = square metres of heated space,   = mean outside temperature, and   = mean hours of sunlight per day. Partial statistical software output is given below. Regression Analysis The regression equation is = 357 + 0.808   - 16.6   + 40     S = 267.7 R-sq = 82.0% R-sq(adj) = 76.6% Analysis of Variance   -Refer to Electric Usage Narrative. Does the regression model appear to be useful? Justify your answer. (Use   = 0.05.)
-Refer to Electric Usage Narrative. Does the regression model appear to be useful? Justify your answer. (Use Electric Usage Narrative The power company claims the amount of electricity used by a house (y) depends on   = square metres of heated space,   = mean outside temperature, and   = mean hours of sunlight per day. Partial statistical software output is given below. Regression Analysis The regression equation is = 357 + 0.808   - 16.6   + 40     S = 267.7 R-sq = 82.0% R-sq(adj) = 76.6% Analysis of Variance   -Refer to Electric Usage Narrative. Does the regression model appear to be useful? Justify your answer. (Use   = 0.05.) = 0.05.)


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