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CLRM Assumptions in Linear Regression by Nidhi is a document available to read on EtoBox.

1) The document discusses the assumptions of the classical linear regression model (CLRM), including that the regression model is linear in parameters, the regressor X is non-stochastic, the disturbance term has a zero mean value, equal variance (homoscedasticity), no autocorrelation between disturbances, zero covariance between the disturbance and regressor, more observations than parameters, variability in X values, correct model specification, and no perfect multicollinearity. 2) It explains that under

Author

Nidhi

Language

EN