What are the Gauss-Markov assumptions?
12/06/2022 | By: FDS
The Gauss-Markov assumptions are a group of assumptions used in linear regression analysis. They include the assumption that the influencing factors (the predictor variables) are independent of each other, the relationship between the influencing factors and the dependent variable is linear, the variance of the dependent variable is constant, and the residuals are normally distributed. The Gauss-Markov assumptions form the basis for linear regression analysis.