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| Group: |
sci.stat.consult |
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| Author: |
wallisjon@gmail.com |
| Subject: |
multiple linear regression |
| Body: |
Hi,
I'm having trouble interpreting the results of a multiple linear
regression, or at least matching it up to what I've obtained with
other statistical tests. I have one dependent variable, and two
independent variables. When I run the analysis through a 2-way ANOVA I
get a highly significant main effect for IV1 (p<10-15) with no other
main effect or interaction. When I run the data through a multiple
linear regression (with IV1, IV2 and IV1*IV2), I get a significant F
value for the overall regression equation (again p<10-15). However,
when I look at significance of the individual regression coefficients
(using a t-test) IV1 is a lot less significant (p<0.005), while IV2
and the interaction are not significant. Why is there such a huge
difference between the significance of the overall equation and the
significance of the individual regression coeefficients? What am I
missing here?
Any help appreciated!
Jon
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