I used the anova function in R to get an ANOVA table for my model.
fit <- lm(open_time ~ sent_time + email_id + day, data=mydata)
anova(fit)
I got the following output:
Analysis of Variance Table
Response: open_time
Df Sum Sq Mean Sq F value Pr(>F)
sent_time 1 222321 222321 2.2673 0.1323
email_id 1 15229 15229 0.1553 0.6936
day 1 798 798 0.0081 0.9281
Residuals 1996 195721653 98057
Can someone explain in basic terms as to how can I use this output to get useful information about my model (as in which independent variables are more significant in the prediction model, etc)?
