Welcome to your Econometrics Practice - 1
4. Yi = B1(hat) + B2(hat)Xi + ui represents
5. Recursive least square is used to
5. Yi = B1(hat) + B2(hat)Xi + ui, ui represents
6. Yi = B1(hat) + B2(hat)Xi + ui, B1(hat) & B2(hat) represents
8. A data point that is disproportionately distant from the bulk of the values of a regressor is
9. According to Akaike's Information Criterion (AIC), while comparing 2 or more models, the model is selected which has
6. Variables such as grades in maths, results of the race are examples of
3. Yi = B1 + B2Xi + ui represents
8. Homoscedasticity refers to the error terms having
1. In Yi = E(Yi|Xi) + ui, the deterministic component is given by
