Question

A researcher is interested to learn if there is a linear relationship between the hours in a week spent exercising and a persons life satisfaction. The researchers collected the following data from a random sample, which included the number of hours spent exercising in a week and a ranking of life satisfaction from 1 to 10 ( 1 being the lowest and 10 the highest).

Participant Hours of Exercise Life Satisfaction

1 3 1

2 14 2

3 14 4

4 14   4

5 3 10

6 5 5

7 10 3

8 11 4

9 8 8

10 7 4

11 6 9

12 11 5

13 6 4

14 11 10

15 8 4

16 15 7

17 8 4

18 8 5

19 10 4

20 5 4

1. Find the mean hours of exercise per week by the participants.
2. Find the variance and standard deviation of the hours of exercise per week by the participants.
3. Run a bivariate correlation to determine if there is a linear relationship between the hours of exercise per week and the life satisfaction. Report the results of the test statistic using correct APA formatting.
4. Run a linear regression on the data. Report the results, using correct APA formatting. Identify the amount of variation in the life satisfaction ranking that is due to the relationship between the hours of exercise per week and the life satisfaction (Hint: the R² value)
5. Report a model of the linear relationship between the two variables using the regression line formula.

I am struglling with knowing what tests to run in SPSS and doing it correctly.

We are required to show our data through SPSS

Answer 1

The data in SPSS is:

Go to Explore.

Click OK.

The output is:

To find the bivariate correlation,

Click on Bivariate.

Click OK.

The output is:

To run the linear regression,

Click on Linear.

Click OK.

The output is: