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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)?

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marked as duplicate by Momo, gung - Reinstate Monica r Jun 20 '15 at 22:44

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