Recipe
publicShareStar

Linear regression

Collaborators
Reviewers
Total time needed: ~37 minutes
Learning Objectives
you learn the assumptions behind linear regression and, more importantly, what will occur if those assumptions are violated.
Potential Use Cases
refreshing knowledge on linear regression, preparing for job interview questions
Target Audience
BEGINNERpeople entering the field of data science and data scientists who think stat is their weak point
Go through the following annotated items in order:
WRITEUP 1. What is linear regression
  • What is linear regression?
10 minutes
WRITEUP 2. Ordinary Least Squares
  • What is Ordinary Least Squares?
10 minutes
WRITEUP 3. Homoscedasticity and error normality
  • Why do we need homoscedasticity and error normality assumptions?
9 minutes
ARTICLE 4. Potential business consequences of violation in GM assumptinos
  • What are some of the consequences of violation in GM assumptinos?
8 minutes

Concepts Covered

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