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Question 23 (4 points) Saved The following regression output shows the estimates for the model: In(Sales Price) = Bo + B.In(Sq.Ft) + B,Age + B,

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Question 23 (4 points) Saved The following regression output shows the estimates for the model: In(Sales Price) = Bo + B.In(Sq.Ft) + B,Age + B, Age? + Variable Descriptions In Sale Price): the natural log of a home's sales price. The sale price is measured in dollars Incs Fo: the natural log of the home's square footage, Square footage is measured in Age: the age of the home measured in years. Age: the squared age of the home measured in years. square feet SUNARY OUTPUT PR R. AS SE 0.71 0.39 038 321 ANOVA 149. 13653 335.96333575 317 25.47865124 32061411220 1194 0.00338521 711 Com 6.40 0.40 0.62 0.05 0.01 0.00 001 6.00 13.99 229 23 30 0.37 -0.01 LiPo 0.00 0.00 0.00 5.59 Predict the sales price of a home that is 1.700 square feet and 12 years old. Caution, rounding differences might result in a slightly different answer to pick the closest choice. OVERFLOW Error - number is too largo for the calculator or Excel to calculate $12.70 O $12,703.72 O $314,600.12 $32.968.40 5342.120.05 5435207380 Question 23 (4 points) Saved The following regression output shows the estimates for the model: In(Sales Price) = Bo + B.In(Sq.Ft) + B,Age + B, Age? + Variable Descriptions In Sale Price): the natural log of a home's sales price. The sale price is measured in dollars Incs Fo: the natural log of the home's square footage, Square footage is measured in Age: the age of the home measured in years. Age: the squared age of the home measured in years. square feet SUNARY OUTPUT PR R. AS SE 0.71 0.39 038 321 ANOVA 149. 13653 335.96333575 317 25.47865124 32061411220 1194 0.00338521 711 Com 6.40 0.40 0.62 0.05 0.01 0.00 001 6.00 13.99 229 23 30 0.37 -0.01 LiPo 0.00 0.00 0.00 5.59 Predict the sales price of a home that is 1.700 square feet and 12 years old. Caution, rounding differences might result in a slightly different answer to pick the closest choice. OVERFLOW Error - number is too largo for the calculator or Excel to calculate $12.70 O $12,703.72 O $314,600.12 $32.968.40 5342.120.05 5435207380

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