22. Text: Recap + Next Steps

Recap

In this lesson, you learned about simple linear regression. The topics in this lesson included:

1. Simple linear regression is about building a line that models the relationship between two quantitative variables.
   
   

2. Correlation coefficients are a measure that can inform you about the strength and direction of a linear relationship.
   
   

3. The most common way to visualize simple linear regression is using a scatterplot.
   
   

4. A line is defined by an intercept and slope, which you found using the statsmodels library in Python.
   
   

5. You learned the interpretations for the slope, intercept, and R-squared values.
   
   

Up Next

In the next lesson, you will extend your knowledge from simple linear regression to multiple linear regression.