I defined a multiple regression model with the following code and output a summary of the regression results.
The categorical variable week [T.1] exists as an explanatory variable in the training data, but for that
No coefficient is output.
Could you please tell me what went wrong in the model definition?
(Selftaught limit death ...)
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Model building
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ols_model ='y ~ 1 + week + temperature'
model_ols = smf.ols (formula = ols_model, data = train)
"" "
Learn with train data
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result_ols = model_ols.fit ()
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See results
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result_ols.summary ()
"" "
OLS Regression ResultsDep. Variable: y Rsquared: 0.460
Model: OLS Adj. Rsquared: 0.447
Method: Least Squares Fstatistic: 34.30
Date: Tue, 14 Jan 2020 Prob (Fstatistic): 2.91e25
Time: 15:07:20 LogLikelihood: 952.41
No. Observations: 207 AIC: 1917.
Df Residuals: 201 BIC: 1937.
Df Model: 5
Intercept 143.9546 5.526 26.053 0.000 133.059 154.850
week [T.2] 6.4109 5.470 1.172 0.243 17.197 4.375
week [T.3] 10.2921 5.411 1.902 0.059 20.963 0.378
week [T.4] 17.7358 5.412 3.277 0.001 28.407 7.065
week [T.5] 6.8782 5.470 1.258 0.210 17.663 3.907
Omnibus: 23.275 DurbinWatson: 1.228
Prob (Omnibus): 0.000 JarqueBera (JB): 27.801
Skew: 0.809 Prob (JB): 9.18e07
Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
"" "

Answer # 1
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I arrived at the following site and understood
https://mkmkipy.hatenablog.com/entry/2018/10/27/231943
This incident will be closed