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1.The regression result is as follow: Number of obs=88 F(2,85)=27.25 Prob>F=0.0000 R-squared=0.6319 Root MSE=63045 Price Coef. Robust Std.Err T P>|t| [95% Conf. Interval] rooms 15198.19
1.The regression result is as follow:
Number of obs=88
F(2,85)=27.25
Prob>F=0.0000
R-squared=0.6319
Root MSE=63045
Price | Coef. | Robust Std.Err | T | P>|t| | [95% Conf. | Interval] |
rooms | 15198.19 | 8943.735 | 1.70 | 0.093 | -2584.349 | 32980.73 |
sqfeet | 128.4362 | 19.59089 | 6.56 | 0.000 | 89.48427 | 167.3882 |
_cons | -19315 | 41520.5 | -0.47 | 0.643 | -101868.9 | 63238.89 |
where 'price' is a price of housing (a dependent variable), 'rooms' is a number of rooms, and 'sqfeet' is a house size in square feet.
1.1 Write liner regression equation.
1.2 Are the coefficients of independent variables (Xi) statistically significant at 95% confident interval, using T-test.
1.3 Interpret the estimated R-square
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