The valid assumptions for the OLS model are:
- (A) The error term has an expected value of zero.
- (C) The model is linear in parameters.
Heteroskedasticity and autocorrelation are issues that violate the assumptions of OLS.
Thus, the correct answer is (d).
List-I(Statistical Concepts) | List-II(Description) | ||
---|---|---|---|
A | Power of a test | I | 1- probability of making type II error |
B | Multicollinearity | II | Where the sample mean differs from the population mean |
C | Biased estimator | III | Correlation between explanatory variables in a regres sion |
D | White noise error | IV | Errors with zero mean and constant standard deviation |