Hi!
We have run a linear regression model with 3 explanatory variables and get the
output below.
Does anyone know what type of test the anova model below does and why we get so
different result in terms of significant variables by the two tables?
Thanks!
/Sara
> summary(model)
Call:
lm(formula = log(HOBU) ~ Vole1 + Volelag + Year)
Residuals:
Min 1Q Median 3Q Max
-0.757284 -0.166681 0.009478 0.181304 0.692916
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 80.041737 12.018726 6.660 1.40e-07 ***
Vole1 0.005521 0.041626 0.133 0.8953
Volelag 0.033966 0.018392 1.847 0.0738 .
Year -0.035927 0.006027 -5.961 1.08e-06 ***
anova(model)
Analysis of Variance Table
Response: log(HOBU)
Df Sum Sq Mean Sq F value Pr(>F)
Vole1 1 1.7877 1.7877 13.1772 0.0009486 ***
Volelag 1 0.5817 0.5817 4.2878 0.0462831 *
Year 1 4.8205 4.8205 35.5323 1.082e-06 ***
Residuals 33 4.4769 0.1357
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