If one independent variable has a larger coefficient than another, this means
A) that the variable with the larger coefficient is a more important predictor.
B) that the variable with the larger coefficient is a more statistically significant predictor.
C) that the variable with the larger coefficient contributes more to predicting the variability in the criterion.
D) We can't say anything about relative importance or significance from what is given here.

Question

Quizplus · Accepted Answer

The size of a coefficient in a regression model does not necessarily indicate the variable's importance or statistical significance. It merely shows how much the dependent variable is expected to increase or decrease with a one-unit increase in the independent variable, assuming other variables are held constant. Importance and significance depend on the context, scale of variables, and statistical tests, not just on the coefficient size.

If One Independent Variable Has a Larger Coefficient Than Another