Linear Regression in Statistics: The linear regression distinguishes between simple and multiple linear regression analysis.
SIMPLE LINEAR REGRESSION
In the first case, simple linear regression, the aim is to investigate the influence of an independent variable on a dependent variable.
MULTIPLE LINEAR REGRESSION
In the second case, multiple linear regression, the influence of several independent variables on a dependent variable is analyzed.

In both cases, it is a prerequisite that the scale of measurement of the dependent variable is metric.

More Information about Simple and Multiple Linear Regression:
https://datatab.net/tutorial/linearr...

and the online Regression calculator:
https://datatab.net/statisticscalcul...

Regression Analysis: An introduction to Linear and Logistic Regression
   • Regression Analysis: An introduction ...  
Simple and Multiple Linear Regression
   • Simple and Multiple Linear Regression  
Assumptions of Linear Regression
   • Assumptions of Linear Regression  
Logistic Regression: An Introduction
   • Logistic Regression: An Introduction  
Dummy Variables in Multiple Regression
   • Dummy Variables in Multiple Regression  
Regression with categorical independent variables
   • Regression with categorical independe...  
Multicollinearity
   • Multicollinearity (in Regression Anal...  
Causality, Correlation and Regression
   • Causality, Correlation and Regression