(Appendix 2A)Which of the following is not an assumption of linear regression analysis?
A)The error terms have a constant variance
B)The error terms are independent
C)A linear relationship exists between the dependent and independent variables
D)There is a cause and effect relationship between the dependent and independent variables

Question

Quizplus · Accepted Answer

Linear regression analysis assumes that there is a relationship between the dependent and independent variables, and that this relationship is linear. The other assumptions of linear regression analysis are that the error terms have a constant variance and are independent, which are necessary for valid statistical inference. However, the assumption of a causal relationship between the dependent and independent variables is not strictly necessary for linear regression analysis, as correlations can exist between variables even if there is no causal relationship between them.

(Appendix 2A)Which of the Following Is Not an Assumption of Linear