I am trying to run an ANOVA to examine the difference between 4 treatments.
anova(lm(weight~treatment))
summary(lm(weight~treatment))
Which is returning:
Call:
lm(formula = weight ~ treatment)
Residuals:
Min 1Q Median 3Q Max
-0.046677 -0.016346 -0.001859 0.015679 0.070679
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.1233676 0.0038640 31.928 <2e-16 ***
treatmentmale 0.0007096 0.0055420 0.128 0.8983
treatmentneg -0.0099701 0.0053940 -1.848 0.0663 .
treatmentpos 0.0017537 0.0048976 0.358 0.7207
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 0.0235 on 168 degrees of freedom
Multiple R-squared: 0.03832, Adjusted R-squared: 0.02115
F-statistic: 2.231 on 3 and 168 DF, p-value: 0.08643
There are supposed to be 4 treatments: pos, male, female, and neg. Is female being used as the intercept? Both treatment and weight are listed as factors, advice I pulled from other posts, but are still aren't returning the coefficients.
