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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. Obtain a point prediction of the electricity use for a home that has 300 m<sup>2</sup> of space, an outside temperature of 3°C, and 10.2 hours of sunlight. = 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. Obtain a point prediction of the electricity use for a home that has 300 m<sup>2</sup> of space, an outside temperature of 3°C, and 10.2 hours of sunlight. = 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. Obtain a point prediction of the electricity use for a home that has 300 m<sup>2</sup> of space, an outside temperature of 3°C, and 10.2 hours of sunlight. = 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. Obtain a point prediction of the electricity use for a home that has 300 m<sup>2</sup> of space, an outside temperature of 3°C, and 10.2 hours of sunlight. - 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. Obtain a point prediction of the electricity use for a home that has 300 m<sup>2</sup> of space, an outside temperature of 3°C, and 10.2 hours of sunlight. + 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. Obtain a point prediction of the electricity use for a home that has 300 m<sup>2</sup> of space, an outside temperature of 3°C, and 10.2 hours of sunlight. 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. Obtain a point prediction of the electricity use for a home that has 300 m<sup>2</sup> of space, an outside temperature of 3°C, and 10.2 hours of sunlight. 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. Obtain a point prediction of the electricity use for a home that has 300 m<sup>2</sup> of space, an outside temperature of 3°C, and 10.2 hours of sunlight.
-Refer to Electric Usage Narrative. Obtain a point prediction of the electricity use for a home that has 300 m2 of space, an outside temperature of 3°C, and 10.2 hours of sunlight.

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