What is a partial correlation?

What is a partial correlation?

1. What is a Partial Correlation?

2. Welcome to this brief explanation on a P artial C orrelation !

3. Partial correlation is an expression of analyses of co-variance (ANCOVA) applied to questions of prediction and relationship

4. Partial correlation is an expression of analyses of co-variance (ANCOVA) applied to questions of prediction and relationship Prediction & Relationship

5. . . . rather than questions of differences addressed by ANCOVA.

6. . . . rather than questions of differences addressed by ANCOVA.

7. Partial correlation estimates the relationship between two variables while removing the influence of a third variable from the relationship.

8. Partial correlation estimates the relationship between two variables while removing the influence of a third variable from the relationship. Relationship between a guy and a girl

9. Partial correlation estimates the relationship between two variables while removing the influence of a third variable from the relationship. Taking out the effect of video games on that relationship

10. For example, a researcher might want to know the relationship between height and weight .

11. For example, a researcher might want to know the relationship between height and weight . &

12. However, she is aware that people’s bone and muscle structures vary according to gender.

13. However, she is aware that people’s bone and muscle structures vary according to gender.

14. She can calculate a partial correlation between height and weight while removing (holding constant, eliminating) the effect of gender on the correlation.

15. She can calculate a partial correlation between height and weight while removing (holding constant, eliminating) the effect of gender on the correlation. &

16. She can calculate a partial correlation between height and weight while removing (holding constant, eliminating) the effect of gender on the correlation. &

17. She can calculate a partial correlation between height and weight while removing (holding constant, eliminating) the effect of gender on the correlation. & The Effect of Gender

18. Here’s the data set:

19. Here’s the data set:

20. Here’s the data set:

21. First let’s see what the correlation between height and weight is and then we will see what the correlation would be if we controlled for gender

22. Correlation between Height and Weight

23. Correlation between Height and Weight

24. Correlation between Height and Weight

25. Correlation between Height and Weight & = .825

26. However, when controlling for gender the correlation between height and weight is:

27. However, when controlling for gender the correlation between height and weight is: & c ontrolling for

28. However, when controlling for gender the correlation between height and weight is: & c ontrolling for = .770

29. While still large, the relationship between height and weight is accounted for in part by gender .

30. While still large, the relationship between height and weight is accounted for in part by gender . A partial correlation makes it possible to eliminate the effect of a third variable!