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, EVIEWS (any one)