Assumptions for OLS
OLS Assumptions are the Conditions that we need to consider them before performing Regression Analysis.
Some OLS Assumptions are:
- Linearity
- No Endogeneity
- Normality
- Zero Mean of Error Terms
- Homoscedasticity
- No Autocorrelation
- No Multicollinearity
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These are some of the Assumptions to be pondered while Applying Ordinary Least Square Method and Performing Regression Analysis.
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