Simple and Multiple Linear Regression

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/linear-regression and the online Regression calculator: https://datatab.net/statistics-calculator/regression Regression Analysis: An introduction to Linear and Logistic Regression https://youtu.be/FLJ0yYetywE Simple and Multiple Linear Regression https://youtu.be/29rjWClT_3U Assumptions of Linear Regression https://youtu.be/sDrAoR17pNM Logistic Regression: An Introduction https://youtu.be/3tq4t41MsPc Dummy Variables in Multiple Regression https://youtu.be/bnjPzHQ04Ac Regression with categorical independent variables https://youtu.be/xVBwXqnWPyE Multicollinearity https://youtu.be/G1WX5GiFSWQ Causality, Correlation and Regression https://youtu.be/dhCnAO4UoiM