4) Two researchers from Berlin International UAS are obsessed with measuring cognitive workaholism levels, and how technology impacts this. They are stuck, and badly in need of student assistants for their project. So, they approach you, since you have been a brilliant student in the Quantitative Toolbox class. The pay is well, the project is interesting. You accept the offer, and they welcome you on-board.

Mark the wrong answer based on the following result.

Exhaustion was found to have several significant associations. The Winsorised correlations between Exhaustion and Cognitive workaholism is (rpw= 0.52, p<.001), Pace (rpw= 0.58, p<.001), and Manager relationship (rpw= 0.43, p<.001).

Stop the research. There is no association

The associations are all negative, statistically significant, and very large

The associations are all positive, statistically non-significant, but very large

The associations are all positive, statistically significant, and very large

5) How would you report the results of the following analysis which focuses on two variables ex-am_grade and revise (i.e., the time you spent to revise lecture content)? (1 Punkt)

correlation (exam[, c("e_grade", "revise")])

## # Correlation Matrix (pearson-method)

#

##

## Parameter1 Parameter2 | r|

95% CIt(101)

p

## _grade |

revise | 0.40 | [0.22, 0.55] | 4.34 | < .001***

Revision time explains 40% variability in e grades

E grade was significantly correlated with the time spent revising, r=.40, p<.01.

performance was significantly correlated with e anxiety, r=- 40

The time spent revising was correlated with e anxiety, r=-.71, P<.001.