The house was sold for $37,704 more than what was predicted by the model. The selling price for this home is 37,704 more than we would

The house was sold for $37,704 more than what was predicted by the model. The selling price for this home is 37,704 more than we would

1. The house was sold for $37,704 more than what was predicted by the model. The selling
   price for this home is 37,704 more than we would have predicted based on the multiple
   regression model. It would appear that there is some other factors outside the size of homes
   and size of the lot that affect the sale price of the home.
2. Home selling price is predicted to increase $53.8 for every 1 square foot increase holding lot
   size constant. For each square-foot unit increase in home size, the house selling price would
   increase by 53.8 dollars. This is the interpretation of the slope.
3. Given that the y intercept and the lot size is fixed, the only variable left is home size.
4. Interpretation: In order for the lot size to have the same impact as a one-squared-foot
   increase in home size, the lot size would have to increase by 18.84 square feet.

Answer preview for The house was sold for $37,704 more than what was predicted by the model. The selling price for this home is 37,704 more than we would

APA

993 Words

$15.00 – Purchase Checkout Added to cart