Exam 1

1. Metainformation

   Tag	Value
   file	Inferential_Statistics_vufsw-simplelinearregression-0098-en_vufsw-simplelinearregression-0098-en
   name	vufsw-simplelinearregression-0098-en
   section	inferential statistics/regression/simple linear regression
   type	schoice
   solution	FALSE, TRUE, FALSE, FALSE
   Type	conceptual
   Program	NA
   Language	English
   Level	statistical reasoning

   Question

   An instructor is interested in how the number of hours that students have studied (“HOURS”) on the examination grade (“GRADE”). He conducts a regression analysis with these two variables, using data from a sample of 60 students.

   Given is the following linear model for this relationship: DIGIT = 2.80 + 0.30 ________* HOURS.

   In a regression, we assume a linear relationship between X and Y. What does this assumption of linearity imply for the above model?

   
   
   1. FALSE: E assume that the number of HOURS will affect CIJFER, but not the other way around.
   2. TRUE: Hat means we expect the influence of HOURS on CIFFER to be the same for any comparable increase in the number of HOURS will be the same.
   3. FALSE: Hat is, we expect the influence of HOURS on CIFFER to be will be positive.
   4. FALSE: E expect the effect to be true for all students in our sample.
   
   

   Solution

   Language Dutch

   M&T Basics of quantitative research Basics of quantitative research

   M&T BIS Default value

   
   
   1. False
   2. True
   3. False
   4. False