Answer the following questions:

1.Run a bivariate correlation between those two variables.

2.Provide the value for Pearson's r. (1 point)

Pearson's r = _______

3.Provide the significance level for Pearson's r (P-value). Is r statistically significant? At what alpha level? (0.5 point)

Pearson's r between HRS1 and HRSRELAX is significant at alpha = _____

4.Interpret (based on r) the strength of the relationship, the direction of the relationship and pattern between those two variables (Greater the number of working hours per week...). (1.5 points)

There is a ______ relationship between HRS1 and HRSRELAX.

The relationship between HRS1 and HRSRELAX is ________ (positiveegative).

As the number of hours worked per week increases, the number of hours relaxing _____.

5.Calculate r2 based on r and interpret r2 as a PRE measure. Hints: how much is explained by the variance in ...) (2 points).

Knowing how many hours respondents work per week explains ____ % of the variance in the number of hours relaxing.

Correlations NUMBER OF HOURS HOURS PER WORKED DAY R HAVE LAST WEEK TO RELAX NUMBER OF HOURS Pearson Correlation -.115 WORKED LAST WEEK Sig. (2-tailed) 000 N 1501 1198 HOURS PER DAY R Pearson Correlation -.115 HAVE TO RELAX Sig. (2-tailed) 000 N 1198 1233 * Correlation is significant at the 0.01 level (2-tailed)