DS AdvancedLesson 21Free preview
DS Regression Info
This lesson is part of Data Science · All levels
Summary
The information section on the regression output gives an overview of the overall quality and compatibility of the model. Among them are the number of observations, residual degrees of freedom, the Durbin-Watson test for autocorrelation, and the Prob (F-statistic) that signifies the significance of the model simultaneously. Its sub-method is Ordinary Least Squares (OLS) which minimizes the number of residual squares.
Key points
- Observations = the amount of data used by the model.
- Durbin-Watson detects autocorrelation residuals; close to 2 = safe.
- Prob (F-statistic) < 0.05 means the model is significant overall.
- Compare the observations to residual df to assess data adequacy.
- OLS = estimation method by minimizing the number of residual squares.
Full lesson
Code examples and quizzes
Full lessons, code examples, and quizzes are available to subscribers. 5 questions.