Semi-partial correlation
In multiple linear regression, semi=partial correlations indicate the unique relation between a predictor (IV) and a response variable (DV).
What do the areas mean?
This is a Venn diagram representing the variance and correlations involved in a multiple linear regression analysis.
Question 1: Which areas represent the semi-partial correlations between the IVs and DV?
Question 2: What do the other labelled areas represent?
Answer 1: a and c
Answer 2:
- a = semi-partial correlation between IV1 and DV (with the effect of IV2 removed)
- b = variance in the DV which is explained by both IV1 and IV2
- c = semi-partial correlation between IV2 and DV (with the effect of IV1 removed)
- d = variance in DV which is not explained by IV1 and IV2
See also
- Correlation
- Multiple linear regression
- Partial correlation (Wikipedia)
This article is issued from Wikiversity - version of the Monday, April 13, 2015. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.