Data Analysis: Regression


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