Which one is correct about unbiasedness and consistency? Check all that apply An

Question

Which one is correct about unbiasedness and consistency? Check all that apply An unbiased estimator is consistent, and vice versa. An estimator can be unbiased, consistent, both, or none. An unbiased estimator is necessarily consistent, but not the other way around. A consistent estimator is necessarily unbiased, but not the other way around. Which one is correct about homoscedasticity and heteroscedasticity? Check all that apply. The fitted line in heteroscedastic error case is flatter than the fitted line in homoscedastic error Homoscedasticity is one of the assumptions of classical regression model. Homoscedasticity means that expectation of error term is not related to values of explanatory variables. Homoscedasticity means that variation of y's around their expected values are independent of values of explanatory variables.

Explanation / Answer

Question (3)

* An estimator can be unbiased, consistent, both, or none.

* A consistent estimator is necessarily unbaised,but not the other way around.

Question(4)

* Homoscedasticity is one of the assumptions of classical regression model.

* Homoscedasticity means that variation of y'so around their expected values are independent of values of explanatory variables.

Related Questions

Navigate

• Browse (All)
• Browse W
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.