Question

Would this be done w a Pearson correlation or a Spearman correlation?

A researcher collects data on the relationship between length of commute and stress level. The dare are as follows:

commute(min) stress (1-10 scale)

24.00                       3.00

71.00                       9.00

55.00                       5.00

34.00                       4.00

11.00                       3.00

80.00                       7.00

50.00                       4.00

33.00                       2.00

27.00                       2.00

20.00                       3.00

30.00                       3.00

31.00                       6.00

50.00                       8.00

66.00                       8.00

22.00                       1.00

38.00                       4.00

56.00                       7.00

41.00                       5.00

31.00                       3.00

27.00                       4.00

--Enter the data to SPSS. --Perform scatter-plot analysis - put on the best fitting line. --Perform the appropriate correlation (Pearson or Spearmen) Submit: --Cover page with 1) title, 2) your name and 3) class affiliation --1 page of SPSS output showing the analyses - do not include irrelevant analyses. --1 page containing a paragraph as it would appear in a research report answering the research question + APA.

Answer 1

The scatterplot is:

The SPSS output is:

The hypothesis being tested is:

H₀: r = 0

H_a: r ≠ 0

A Spearman's correlation is performed on the dataset because the data is ranked according to the stress level. Reject Ho and conclude that there is a significant relationship between the length of commute and stress level. (r = 0.814, p = 0.000 < 0.05)