OLS Assumptions
Ordinary Least Square, Assumptions about Regression analysis, OLS assumptions, heteroscedasticity, multicollinearity, autocorrelation
Checking Normality of Error Term (2019)
Normality of Error Term In multiple linear regression models, the sum of squared residuals (SSR) is divided by $n-p$ (degrees of freedom, where $n$ is the total number of observations, and $p$ is the number of the parameter in the model) is a good estimate …
Regression Model Assumptions
Linear Regression Model Assumptions The linear regression model (LRM) is based on certain statistical assumptions, some of which are related to the distribution of a random variable (error term) $u_i$, some are about the relationship between error term $u_i$ and the explanatory variables (Independent variables, …