Exam 1

1. Metainformation

   Tag	Value
   file	Assumptions_uu-Linearity-104-en_uu-Linearity-104-en
   name	uu-Linearity-104-en.Rdm
   section	Assumptions/Linearity
   type	schoice
   solution	TRUE, FALSE, FALSE, FALSE
   Type	Conceptual
   Program
   Language	English
   Level	Statistical Literacy

   Question

   Which of the following conditions must be satisfied for a single regression analysis in which the score on Y is predicted from the score on X?

   
   
   1. TRUE: The relationship between X and Y must be linear
   2. FALSE: The variable Y must be measured at least at ratio measurement level
   3. FALSE: X must be approximately normally distributed
   4. FALSE: All three conditions must be met
   
   

   Solution

   In a regression analysis, it is important that there is a linear relationship between X and Y. This is because it is a linear regression analysis. If there is no linear relationship, you cannot simply run this regression. The answer ‘the variable Y must be measured at least at ratio measurement level’ is not correct, because X and/or Y may also be measured at interval measurement level. The answer ‘X must be approximately normally distributed’ is not correct, because X need not be normally distributed, as long as the combination of X and Y is.

   
   
   1. Right!
   2. This is incorrect
   3. This is incorrect
   4. This is incorrect