The code below reads the Xavier men$$s basketball $20-21$ team game results and creates a dummy variable $$win$$ that takes the numeric value of $1$ if XU outscored their opponent and $0$ otherwise. In this application we$$ll use logistic regression to model wins$/$losses$.$

xub $<-$ read.csv$("$https:$//$remiller$1450.$github.io$/$data$/$xubball$2021.$csv$")$

xub$win $<-$ ifelse$($xub$Margin $>0,1,0)$

Fit the logistic regression model win ~ X$3$P $+$ X$3$P$.,$ which adjusts for the percentage of three point attempts that are made. How does the effect of $3$XP$$ in this model differ from the effect you described in the previous question? Briefly explain why the adjusted effect is so different from the unadjusted effect.