Which of the following is NOT an assumption underlying regression analysis?
A)simple random sampling
B)discrete variables
C)at least interval data
D)absence of nonsampling error
E)continuous variables.

Question

Quizplus · Accepted Answer

Regression analysis can handle both continuous and discrete variables. Therefore, assumption of discrete variables is not necessary for regression analysis. However, some analysts might choose to bin their continuous variables into discrete categories for practical purposes. The other options listed are all critical assumptions underlying regression analysis. Simple random sampling is necessary to ensure that the sample is representative of the population of interest. At least interval data is required for both the dependent and independent variables, so that they can be measured on a numerical scale that supports mathematical operations. Absence of nonsampling error is necessary to ensure that any observed relationships between variables are not due to factors other than chance.

Which of the Following Is NOT an Assumption Underlying Regression