Extracting model elements
The model object created by ols() contains many elements. In order to perform further analysis on the model results, you need to extract its useful bits. The model coefficients, the fitted values, and the residuals are perhaps the most important pieces of the linear model object.
mdl_price_vs_conv is available.
This exercise is part of the course
Introduction to Regression with statsmodels in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Print the model parameters of mdl_price_vs_conv
print(____)