Quantile Regression Is Different Than OLS in That It

question 25

Multiple Choice

Quantile regression is different than OLS in that it

• A)does not estimate marginal effects at the mean values of the dependent and independent variables.
• B)only uses the data below the quantile where the quantile regression is being estimated.
• C)estimates marginal effects at the mean values of the dependent and independent variables.
• D)minimizes the sum of squared residuals to obtain the coefficient estimates.

---

Definitions:

Type II Error

Statistically, the probability of accepting a bad lot.

Bad Lot

A batch of products that fails to meet quality specifications or standards, often leading to rejection or rework.

LTPD

The Lot Tolerance Percent Defective, which refers to the maximum acceptable defect rate in a sample lot for the lot to be accepted.

Quality Control Chart

A graphical tool used in process monitoring to analyze and understand variability in production or service delivery.