Simple Linear Regression Model: Two Variable Case

Estimation of classical linear regression model by method of ordinary least squares, goodness of fit; tests of hypotheses; confidence intervals; Chow Test, forecasting presentation and interpretation of results.

Functional forms of regression models

Estimation of Log-linear model, semilog models, reciprocal models and logarithmic reciprocal model.

Multiple Linear Regression Model                                                

Estimation of parameters; goodness of fit - R² and adjusted R ²; testing hypotheses – individual and joint, presentation and interpretation of results.

 Software to be used: GRETL or EVIEWS (any one)