Data Analysis: Regression

Introduction

Regression attempt to find a function which model the data with least error.

 

Simple Linear Regression

It is the least squares estimator of a linear regression model with a single explanatory variable.

y = kx + c

where k and c are constant

 

Linear Regression

y = b1x1 + b2x2 + b3x3 + … + bn

 

Logistic Regression