Multiple Linear Regression

Multiple Linear Regression is a regression model where we have multiple independent variables.

We need to predict values for the dependent variable as a function of the independent variables.



Formula for Multiple Linear Regression:

where

y is the dependent Variable

 onwards are the the independent Variable

 onwards is the coefficient (connector between dependent and Independent)

 is the Constant

Always encode the categorical data if any after data import.

Code Snippet:

from sklearn.linear_model import LinearRegression

multi_regressor = LinearRegression()

multi_regressor.fit(X_train, y_train)

# Prediction

y_pred = multi_regressor.predict(X_test)