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OLS Statsmodels Summary Table Explanation in details | Linear Regression Machine Learning|Data Scien
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Here I explained the Stats-model summary Table statistics in details.
Introduction 0:00
0:00 How to apply StatsModel OLS Linear Regression?
3:33 DF(Degree of Freedom) residual
4:15 DF(Degree of freedom) Model
4:31 Covariance Type
6:10 R-Squared
6:03 Adjusted R-Squared
8:24 F-Statistics
11:24 Probability of F-Statistics
12:22 Log-Likelihood
15:05 AIC and BIC
17:57 Coefficient
19:02 Standard Error
21:16 Standard Error of Coefficient
22:51 t-statistics and P-Value of t-statistics
25:30 Omnibus and Probability of Omnibus -To test the residuals normal distribution
27:09 Skewness
27:53 Kurtosis
28:43 Durbin-Watson - Test the Auto-correlation in residuals
32:29 Jarque-Bera(JB) and Probability of Jarque-Bera(JB) -To test the residuals normal distribution
34:18 Condition Number To test the Multi-collinearity
#AtulPatel #MachineLearning #LinearRegression #StatsModel
Used Notebook in Video Link :
Introduction 0:00
0:00 How to apply StatsModel OLS Linear Regression?
3:33 DF(Degree of Freedom) residual
4:15 DF(Degree of freedom) Model
4:31 Covariance Type
6:10 R-Squared
6:03 Adjusted R-Squared
8:24 F-Statistics
11:24 Probability of F-Statistics
12:22 Log-Likelihood
15:05 AIC and BIC
17:57 Coefficient
19:02 Standard Error
21:16 Standard Error of Coefficient
22:51 t-statistics and P-Value of t-statistics
25:30 Omnibus and Probability of Omnibus -To test the residuals normal distribution
27:09 Skewness
27:53 Kurtosis
28:43 Durbin-Watson - Test the Auto-correlation in residuals
32:29 Jarque-Bera(JB) and Probability of Jarque-Bera(JB) -To test the residuals normal distribution
34:18 Condition Number To test the Multi-collinearity
#AtulPatel #MachineLearning #LinearRegression #StatsModel
Used Notebook in Video Link :
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