Multiple regression differs from simple regression in that:
A) there can be multiple dependent variables.
B) the time periods over which observations are taken are multiplied to increase explanatory power.
C) a simple regression is done multiple times to increase explanatory power.
D) the computational requirements are less.
E) there are multiple independent variables.

Question

Quizplus · Accepted Answer

Multiple regression involves analyzing the relationship between one dependent variable and multiple independent variables. Therefore, the correct option is E - there are multiple independent variables. The other options are incorrect: A is incorrect because there can only be one dependent variable in regression analysis, B is incorrect because multiplying time periods is not a common practice in regression analysis, C is incorrect because repeated simple regressions do not lead to multiple regression, and D is incorrect because multiple regression often has greater computational requirements than simple regression.

Multiple Regression Differs from Simple Regression in That