I then define to separate data frames: Y to hold my response variable (the single column “Strength”). X to hold my explanatory variables. Note that I have excluded “AirEntrain” at this point because ...

If there are more than one input variables , it is called multiple linear regression. The equation for linear regression line is: y = theta_0 + theta * x. Here, theta_0 and theta are the coefficients ...

8.3. Regression diagnostics¶. Like R, Statsmodels exposes the residuals. That is, keeps an array containing the difference between the observed values Y and the values predicted by the linear model. A ...

In this lesson, you'll be introduced to the multiple linear regression model. We'll start with an introductory example using linear regression, which you've seen before, to act as a segue into ...