Reflect on the following types of regression:
1) Linear regression, 2) Multiple regression, 3) B-spline regression.
In 150 words, explain the key differences between these models and their specific applications in analyzing data.
How do they help in predicting outcomes and understanding relationships between variables?
Reply to at least one peer with a thoughtful comment or question.