A researcher uses a set of reference-group variables in a regression. One variable has a small slope and achieves statistical significance. Another variable has a larger slope but does not achieve statistical significance. What can you surmise from this?
A) The researcher created his variables incorrectly.
B) The r-squared value will be zero.
C) The variable with the large slope is based on a category with a small frequency.
D) the variable with the small slope is based on a category with a small frequency.

Question

Quizplus · Accepted Answer

The variable with the large slope but no statistical significance may indicate that it is based on a category with a small frequency, which could lead to unreliable results. The variable with the small slope achieving significance may indicate that it has a stronger relationship with the outcome variable. However, there could be other factors at play, and more analysis is needed before coming to a definitive conclusion. Options A and B are unlikely explanations without additional evidence. Option D is not necessarily true based on the information given.

A Researcher Uses a Set of Reference-Group Variables in a Regression