Exam 1

1. Metainformation

   Tag	Value
   file	Assumptions_uu-assumptions-012-en_uu-assumptions-012-en
   name	uu-assumptions-012-en
   section	Assumptions
   type	schoice
   solution	FALSE, FALSE, TRUE, FALSE
   Type	Conceptual
   Program
   Language	English
   Level	Statistical Literacy

   Question

   Which of the following statements about multiple linear regression analysis is/are correct?

   I. Violating the assumption of homoscedasticity, some scores on an independent variable deviate significantly from the overall trend (outliers). II. Scatterplots can be used to assess by eye whether the assumption of linear relationships between variables is violated.

   
   
   1. FALSE: Both are correct
   2. FALSE: I is correct, II is not correct
   3. TRUE: I is not correct, II is correct
   4. FALSE: I is not correct, II is not correct
   
   

   Solution

   Theorem I is incorrect The assumption of homoscedasticity implies that the distribution of residuals per X value is equal. When this assumption is violated, the distribution of residuals is not the same for all scores on the independent variable.

   Theorem II is correct Using a scatterplot, we can judge by eye whether there is a linear relationship between X and Y.