A family purchases a 2000 square foot home and plans to make extensions totalling 500 square feet. The house currently has a pool, and a real estate agent has reported that the house is in excellent condition. However, the house does not have a view, and this will not change as a result of the extensions. According to the results in column (1), what is the expected DOLLAR increase in the price of the home due to the planned extensions?

Suppose a researcher collects data on houses that have been sold in a particular neighbourhood over the past year, and obtains the regressions results in the table shown below. This table is used for Questions 1-6. Dependent variable: In(Price) Regressor (2) (3) (4) (5) Size 0.00042 (0.000038) In(Size) 0.69 (0.054) 0.68 (0.087) 0.57 (2.03) 0.69 (0.055) In(Size)? 0.0078 (0.14) Bedrooms 0.0036 (0.037) Pool 0.082 (0.032) 0.071 (0.034) 0.071 (0.034) 0.071 (0.036) 0.071 (0.035) View 0.037 (0.029) 0.027 (0.028) 0.026 (0.026) 0.027 (0.029) 0.027 (0.030) Pool X View 0.0022 (0.10) Condition 0.13 (0.045) 0.12 (0.035) 0.12 (0.035) 0.12 (0.036) 0.12 (0.035) Intercept 10.97 (0.069) 6.60 (0.39) 6.63 (0.53) 7.02 (7.50) 6.60 (0.40) Summary Statistics SER 0.102 0.098 0.099 0.099 0.099 R2 0.72 0.74 0.73 0.73 0.73