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slr.txt
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slr.txt
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OLS Regression Results
==============================================================================
Dep. Variable: area R-squared: 1.000
Model: OLS Adj. R-squared: 1.000
Method: Least Squares F-statistic: 5.490e+32
Date: Mon, 13 Jul 2020 Prob (F-statistic): 0.00
Time: 16:23:38 Log-Likelihood: 1.5281e+05
No. Observations: 6028 AIC: -3.056e+05
Df Residuals: 6024 BIC: -3.056e+05
Df Model: 3
Covariance Type: nonrobust
==============================================================================
coef std err t P>|t| [0.025 0.975]
------------------------------------------------------------------------------
area 1.0000 5.76e-17 1.74e+16 0.000 1.000 1.000
bathrooms 3.553e-15 1.14e-13 0.031 0.975 -2.19e-13 2.26e-13
bedrooms -4.263e-14 8.17e-14 -0.522 0.602 -2.03e-13 1.18e-13
intercept -1.563e-13 8.25e-14 -1.894 0.058 -3.18e-13 5.48e-15
==============================================================================
Omnibus: 299.712 Durbin-Watson: 0.383
Prob(Omnibus): 0.000 Jarque-Bera (JB): 344.849
Skew: 0.581 Prob(JB): 1.31e-75
Kurtosis: 3.157 Cond. No. 1.16e+04
==============================================================================
Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.16e+04. This might indicate that there are
strong multicollinearity or other numerical problems.