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Classical Normal Linear Regression Assumptions by Firsa Aulia is a document available to read on EtoBox.
What is Classical Normal Linear Regression Assumptions about?
The document discusses the assumptions of the classical normal linear regression model (CNLRM). It outlines 7 assumptions: 1) No specification error in the model and correct functional form 2) Disturbances have zero mean 3) Independent variables are uncorrelated with the error term (exogeneity) 4) No autocorrelation between errors 5) Errors are homoskedastic 6) No perfect multicollinearity between independent variables 7) Errors are normally distributed It provides further details on assumptions 1, 2, 3
- Author
- Firsa Aulia
- Language
- EN