Timeline for Significant first-step coefficient becomes insignificant in second step of hierarchical multiple regression
Current License: CC BY-SA 3.0
5 events
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| Feb 26, 2014 at 21:51 | history | edited | gung - Reinstate Monica | CC BY-SA 3.0 |
added 29 characters in body
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| Feb 26, 2014 at 21:25 | comment | added | gung - Reinstate Monica | The partial & semi-partial (part) correlation is described here. The best way to try to understand what's going on is to make some plots. Have you tried a scatterplot matrix with your continuous variables (ie, Y, X1 & X4)? | |
| Feb 26, 2014 at 21:01 | comment | added | Claire | Thanks for your reply! So would I be correct in interpreting this result as X4 being a better predictor of the dependent variable than X1? Again, I don't know if this information is relevant but the relationship between the dummy variables and the dependent variable is negative. I have just noticed that the part correlation of each of these dummy variables is larger than their zero-order correlation. Is this normal? What does that mean? | |
| Feb 26, 2014 at 20:50 | comment | added | gung - Reinstate Monica | I think this is discussed elsewhere, but I can't find it right now. I may add a link or more information later. | |
| Feb 26, 2014 at 20:49 | history | answered | gung - Reinstate Monica | CC BY-SA 3.0 |