Linear Regression

Logistic Regression

Used for solving Regression problem

Used for solving Classification problems

Predict the value of continuous variables

Predict the values of categorical variables

Find the best fit line, which can easily predict the output

Find the S-curve, which can easily classify the samples

Least square estimation method is used for estimation of accuracy

Maximum likelihood estimation method is used for estimation of accuracy

The output must be a continuous value, such as price, age, etc.

The output must be a categorical value such as 0 or 1, Yes or No, etc.

It is required that relationship between dependent variable and independent variable must be linear

It is not required to have the linear relationship between the dependent and independent variable

There may be some collinearity between the independent variables

There should not be any collinearity between the independent variable