FAQ: Linear Regression - Introduction to Linear Regression

Frequently Asked Questions Python FAQ
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This community-built FAQ covers the “Introduction to Linear Regression” exercise from the lesson “Linear Regression”.

Paths and Courses
This exercise can be found in the following Codecademy content:

Data Science

Machine Learning

FAQs on the exercise Introduction to Linear Regression

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Why focus on minimizing MSE vs. simply SSE? Since MSE is SSE divided by a constant, finding the minimum should be invariant to multiplication/division by any scalar. In other words, I should be able to minimize SSE, SSE/N (or MSE), SSE/2N, SSE/3N, etc., and obtain the same optimal values.