A linear regression is a statistical model that attempts to show the relationship between two variables with a linear equation. A regression analysis involves graphing a line over a set of data ...

How Linear Regression Works? Linear regression works by estimating the relationship between variables through a straight line that best represents the data points.

Linear forecasting models can be used in both types of forecasting methods. In the case of causal methods, the causal model may consist of a linear regression with several explanatory variables.

Multiple Linear Regression: Multiple linear regression describes the correlation between two or more independent variables and a dependent variable, also using a straight regression line.

One of the simplest prediction methods is linear regression, in which we attempt to find a 'best line' through the data points.