Multiple linear regression (MLR) is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.

9. Multiple Linear Regression 9.1. Preliminaries As before, we need to start by: Loading the Pandas and Statsmodels libraries Reading the data from a CSV file Fixing the column names using Panda’s ...

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.

The line of best fit is an output of regression analysis that represents the relationship between two or more variables in a dataset.