Suppose a researcher collects data on houses that have sold in a particular neighborhood over the past year and obtains the regression results in the table shown below. Regression Results for Exercise 8.2 Dependent variable: In(Price) Regressor (1) (2) (3) (4) (5) 0.00042 (0.000038) Size In(Size) 0.69 0.68 (0.087) 0.57 (2.03) 0.69 (0.055) (0.054)

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Suppose a researcher collects data on houses that have sold in a particular
neighborhood over the past year and obtains the regression results in the table shown
below.
Regression Results for Exercise 8.2
Dependent variable: In(Price)
Regressor
(1)
(2)
(3)
(4)
(5)
Size
0.00042
(0.000038)
In(Size)
0.57
(2.03)
0.69
0.68
0.69
(0.054)
(0.087)
(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)
0.037
(0.029)
0.027
(0.028)
View
0.026
0.027
(0.029)
0.027
(0.026)
(0.030)
Pool x View
0.0022
(0.10)
Condition
0.13
(0.045)
0.12
0.12
0.12
0.12
(0.035)
(0.035)
(0.036)
(0.035)
Intercept
6.60
(0.39)
6.63
(0.53)
10.97
7.02
(7.50)
6.60
(0.40)
(0.069)
Summary Statistics
SER
0.102
0.098
0.099
0.099
0.099
R
0.72
0.74
0.73
0.73
0.73
Variable definitions: Price = sale price ($); Size = house size (in square feet): Bedrooms = number of bedrooms; Pool =
binary variable (1 if house has a swimming pool, 0 otherwise); View = binary variable (1 if house has a nice view, 0 other-
wise): Condition = binary variable (1 if real estate agent reports house is in excellent condition, 0 otherwise).
In column (5), In column (5), how should we test if a nice view has any impact on
In(Price)?
O We should perform a t-test on View.
O We should perform an F-test on View and Pool x View.
O We should perform a t-test on Pool x View.
O We should perform a t-test on Pool.
Please solve the problem and show your
vork. Choose the correct answer A, B, C, D
Transcribed Image Text:Suppose a researcher collects data on houses that have sold in a particular neighborhood over the past year and obtains the regression results in the table shown below. Regression Results for Exercise 8.2 Dependent variable: In(Price) Regressor (1) (2) (3) (4) (5) Size 0.00042 (0.000038) In(Size) 0.57 (2.03) 0.69 0.68 0.69 (0.054) (0.087) (0.055) [In(Size) 0.0078 (0.14) Bedrooms 0.0036 (0.037) Pool 0.082 (0.032) 0.071 (0.034) 0.071 (0.034) 0.071 (0.036) 0.071 (0.035) 0.037 (0.029) 0.027 (0.028) View 0.026 0.027 (0.029) 0.027 (0.026) (0.030) Pool x View 0.0022 (0.10) Condition 0.13 (0.045) 0.12 0.12 0.12 0.12 (0.035) (0.035) (0.036) (0.035) Intercept 6.60 (0.39) 6.63 (0.53) 10.97 7.02 (7.50) 6.60 (0.40) (0.069) Summary Statistics SER 0.102 0.098 0.099 0.099 0.099 R 0.72 0.74 0.73 0.73 0.73 Variable definitions: Price = sale price ($); Size = house size (in square feet): Bedrooms = number of bedrooms; Pool = binary variable (1 if house has a swimming pool, 0 otherwise); View = binary variable (1 if house has a nice view, 0 other- wise): Condition = binary variable (1 if real estate agent reports house is in excellent condition, 0 otherwise). In column (5), In column (5), how should we test if a nice view has any impact on In(Price)? O We should perform a t-test on View. O We should perform an F-test on View and Pool x View. O We should perform a t-test on Pool x View. O We should perform a t-test on Pool. Please solve the problem and show your vork. Choose the correct answer A, B, C, D
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