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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 Size In(Size) In(Size)² Bedrooms Pool View Pool X View Condition Intercept Summary Statistics SER R² (1) 0.00042 (0.000038) 0.082 (0.032) 0.037 (0.029) 0.13 (0.045) 10.97 (0.069) 0.102 0.72 (2) 0.69 (0.054) 0.071 (0.034) 0.027 (0.028) 0.12 (0.035) 6.60 (0.39) 0.098 0.74 (3) 0.68 (0.087) 0.0036 (0.037) 0.071 (0.034) 0.026 (0.026) 0.12 (0.035) 6.63 (0.53) 0.099 0.73 (4) 0.57 (2.03) 0.0078 (0.14) 0.071 (0.036) 0.027 (0.029) 0.12 (0.036) 7.02 (7.50) 0.099 0.73 (5) 0.69 (0.055) 0.071 (0.035) 0.027 (0.030) 0.0022 (0.10) 0.12 (0.035) 6.60 (0.40) 0.099 0.73

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 Size In(Size) In(Size)² Bedrooms Pool View Pool X View Condition Intercept Summary Statistics SER R² (1) 0.00042 (0.000038) 0.082 (0.032) 0.037 (0.029) 0.13 (0.045) 10.97 (0.069) 0.102 0.72 (2) 0.69 (0.054) 0.071 (0.034) 0.027 (0.028) 0.12 (0.035) 6.60 (0.39) 0.098 0.74 (3) 0.68 (0.087) 0.0036 (0.037) 0.071 (0.034) 0.026 (0.026) 0.12 (0.035) 6.63 (0.53) 0.099 0.73 (4) 0.57 (2.03) 0.0078 (0.14) 0.071 (0.036) 0.027 (0.029) 0.12 (0.036) 7.02 (7.50) 0.099 0.73 (5) 0.69 (0.055) 0.071 (0.035) 0.027 (0.030) 0.0022 (0.10) 0.12 (0.035) 6.60 (0.40) 0.099 0.73

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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 Size In(Size) In(Size)² Bedrooms Pool View Pool X View Condition Intercept Summary Statistics SER R² (1) 0.00042 (0.000038) 0.082 (0.032) 0.037 (0.029) 0.13 (0.045) 10.97 (0.069) 0.102 0.72 (2) 0.69 (0.054) 0.071 (0.034) 0.027 (0.028) 0.12 (0.035) 6.60 (0.39) 0.098 0.74 (3) 0.68 (0.087) 0.0036 (0.037) 0.071 (0.034) 0.026 (0.026) 0.12 (0.035) 6.63 (0.53) 0.099 0.73 (4) 0.57 (2.03) 0.0078 (0.14) 0.071 (0.036) 0.027 (0.029) 0.12 (0.036) 7.02 (7.50) 0.099 0.73 (5) 0.69 (0.055) 0.071 (0.035) 0.027 (0.030) 0.0022 (0.10) 0.12 (0.035) 6.60 (0.40) 0.099 0.73
Transcribed Image Text: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 Size In(Size) In(Size)² Bedrooms Pool View Pool X View Condition Intercept Summary Statistics SER R² (1) 0.00042 (0.000038) 0.082 (0.032) 0.037 (0.029) 0.13 (0.045) 10.97 (0.069) 0.102 0.72 (2) 0.69 (0.054) 0.071 (0.034) 0.027 (0.028) 0.12 (0.035) 6.60 (0.39) 0.098 0.74 (3) 0.68 (0.087) 0.0036 (0.037) 0.071 (0.034) 0.026 (0.026) 0.12 (0.035) 6.63 (0.53) 0.099 0.73 (4) 0.57 (2.03) 0.0078 (0.14) 0.071 (0.036) 0.027 (0.029) 0.12 (0.036) 7.02 (7.50) 0.099 0.73 (5) 0.69 (0.055) 0.071 (0.035) 0.027 (0.030) 0.0022 (0.10) 0.12 (0.035) 6.60 (0.40) 0.099 0.73
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