Author Question: Discuss the pros and cons of raw regression estimates and standardized regression estimates and ... (Read 101 times)

EAugust · **on:** Jun 28, 2018

Discuss the pros and cons of raw regression estimates and standardized regression estimates and explain when each is appropriate.

Question 2

A search-engine optimizer mines data from in-store point-of-sale data recordings.

Indicate whether the statement is true or false

tranoy · **Reply #1 on:** Jun 28, 2018

Answer to Question 1

Regression parameter estimates can be presented in either raw or standardized form. One potential problem with raw parameter estimates is due to the fact that they reflect the measurement scale range. However, if the purpose of the regression analysis is forecasting, then raw parameter estimates must be used. This is another way of saying that the researcher's primary interest is prediction. A standardized regression coefficient () provides a common metric allowing regression results to be compared to one another no matter what the original scale range may have been. Standardized regression estimates should be used when the researcher is testing explanatory hypotheses (i.e., when the purpose of the research is more explanation than prediction).

Answer to Question 2

F
A search-engine optimizer mines Internet data to provide consulting to firms who wish to move up the listing of hits for terms related to their product category.