Exam 1

1. Metainformation

   Tag	Value
   file	Inferential_Statistics_vufsw-simplelinearregression-0076-en_vufsw-simplelinearregression-0076-en
   name	vufsw-simplelinearregression-0076-en
   section	inferential statistics/regression/simple linear regression
   type	schoice
   solution	FALSE, FALSE, FALSE, TRUE
   Type	conceptual
   Program	NA
   Language	English
   Level	statistical literacy

   Question

   A researcher conducted a regression analysis to predict a person’s interest in politics (Y) based on how often a person per week reads news articles (X). Political interest was measured using a scale ranging from 1 (‘not at all interested’) to 10 (‘very interested’). The formula associated with the regression line is shown below.
   What can you say about the causality between X and Y? 

   

   
   
   1. FALSE: How often a person reads news articles per week is only causally related to one’s political interest if there is no extrapolation occurs outside the observed range.
   2. FALSE: How often someone reads news articles per week is causally related to one’s political interest if there are no prediction errors (prediction errors).
   3. FALSE: How often someone reads news articles per week is causally related to one’s political interest if there are no influential outliers (influential outliers).
   4. TRUE: We cannot draw a firm conclusion based on regression analysis draw about causality and should think carefully about possible alternative explanations for the relationship found.
   
   
   1. False
   2. False
   3. False
   4. True