Linear Regression

A way to model the relationship of a one or more explanatory variables to a dependent variable

Types Of Linear Regression

Simple Linear Regression

`y = beta_0 + beta_1 x`

Pearson’s Correlation

Correlation is a linear association between two scalar variables

R or Pearson’s R - Correlation coefficient

Residuals

A residual is difference between observed and predicted values

`e_i = y_i - hat y_i`

© Will Robertson - wjsrobertson@gmail.com