Data were collected from a random sample of 220 home sales from a community in 2013. Let Price denote the selling price

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answerhappygod
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Data were collected from a random sample of 220 home sales from a community in 2013. Let Price denote the selling price

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Data were collected from a random sample of 220 home sales froma community in 2013. Let Price denote the selling price ( in $ 1000) , BDR denote the number of bedrooms , Bath denote the number ofbathrooms , Hsize denote the size of the house ( in square feet ) ,Lsize denote the lot size in square feet ) , Age denote the age ofthe house ( in years ) , and Poor denote a binary variable that isequal to 1 if the condition of the house is reported as " poor . "An estimated regression yiedls
price = 178 + 0.47BDR + 17.8Bath + 325Ln ( Hsize ) + 107Ln (Lsize ) + 0.078 Age - adjusted R² = 0.7
Answer the following questions :
1. A 1 % increase in the size of the house results , on average, in increase in housing price ( in dollars ) .
2. Suppose that a homeowner converts part of an existing familyroom in her house into a new bathroom . What is the expectedincrease in the value of the house ( in dollars ) ?
3. : Based on the regression results in question , calculate R -square answer two decimal points ) . round your answer to twodecimal points.
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