1.    Research scenario: A manager would like to determine whether there is a relationship between the amount of time drivers spend driving for Uber ™ and the ratings the drivers receive. She collects information on the overall total length of time spent driving (in hours) and customer ratings of the drivers. Higher scores indicate positive ratings, while lower scores indicate negative ratings, with a range of 1-16. These scores are listed in the table below. Conduct a Pearson correlation coefficient analysis to determine whether there is a relationship between driver hours and customer ratings of the driver.

 

The steps will be the same as the ones you have been practicing in Part One of the assignment—the only difference is that you are now responsible for creating the data file as well. Remember to name and define your variables under the “Variable View,” then return to the “Data View” to enter the data.

 

 

 

 

Total Hours of Uber ™ Driving Time

Customer Rating of Driver

3

9

20

14

6.5

7

12

14

19

11

8.5

8

4.5

6

15

9

36

16

28

15

9

3

11.5

12

13

9

7.5

12

6.5

10

37

16

21

8

2.5

8

26

15

14

11

8.5

14

5.5

7

9.5

9

5.5

10

23

15

12

9

4

7

6

13

 

 

a)    SPSS output

 

b)    Create a simple scatterplot of the relationship between these variables (define hours as the x-axis and customer ratings as the y-axis).

 

c)    Write an APA-style Results section based on your analyses. All homework “Results sections” should follow the example given in the SPSS tutorials and the Course Content document “Writing Results of Statistical Tests in APA Format.” Remember to include a decision about the null hypothesis. For a correlation analysis, also be sure to include the direction of the relationship between the variables (positive? negative? none?) in your section.