Simple and Multiple Linear Regression

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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-r... • and the online Regression calculator: • https://datatab.net/statistics-calcul... • 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  

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