Multi Linear Regression Graph. A sample graph representing the relation between an independent and dependent variable. In data science linear regression is one of the most commonly used models for predicting the result.
This is referred to as multiple linear regression. You can add more and more variables. Y ax bz c.
The regression equation for the linear model takes the following form.
However there are ways to display your results that include the effects of multiple independent variables on the dependent variable even though only one independent variable can actually be plotted on the x axis. The dimension of the graph increases as your features increases. This is a standard analysis that you can read about in many books. Multiple linear regression fits an equation that predicts y based on a linear combination of x variables.