I have a GLM modeling basketball data where the dependent variable is the proportion of wins for a season. The independent variables are either percentages, or numeric. The family is binomial, and the link is logistic.
Why is the "fgp" coefficient so large? Especially compared to "ftp," since the both have similar relationships with the dependent variable, winp: Here are some diagnostic plots for reference:
Also, I know I'm supposed to model the DV as a proportion of successes over total trials. I read the R command for this is: DV <- cbind(myData$wins, myData$losses). Shouldn't it be: DV <- cbind(myData$wins, myData$totalTrials)