Similarly, we might think that increasing the default tip suggestions made some riders angry and would make them respond by tipping zero dollars. Run a logistic regression in which the depenent variable is the zero$\_$tip and the independent variables are CMT$,$ post$\_$feb, and CMTxpost. At the mean, what was the marginal effect of increasing the default tip suggestions on the probability that a rider would decide to top zero dollars? Store your answer in the variable effect$\_$on$\_$zero$\_$tip as a float. Is the effect statistically significant? Store your answer in the variable stat$\_$sig as either the string "yes" or $"$no$".$ my code is wrong: import pandas as pd

import statsmodels.api as sm

data $=$ pd$.$DataFrame$(\{$

'zero$\_$tip': $[1,0,0,1,0,1,1,0,0,1],$

$\text{'}$CMT$\text{'}$: $[1,0,1,0,1,0,1,0,1,0],$

'post$\_$feb': $[1,1,1,0,1,0,1,1,0,0]$

$\})$

X $=$ data$[[\text{'}$CMT$\text{'},$ 'post$\_$feb'$]]$

y $=$ data$[\text{'}$zero$\_$tip'$]$

X $=$ sm$.$add$\_$constant$($X$)$

logit$\_$model $=$ sm$.$Logit$($y$,$ X$)$

result $=$ logit$\_$model.fit$()$

marginal$\_$effects $=$ result.get$\_$margeff$()$

effect$\_$on$\_$zero$\_$tip $=$ marginal$\_$effects.margeff$[0]$

p$\_$value $=$ result.pvalues$[\text{'}$CMT$\text{'}]$

stat$\_$sig $=$ 'yes' if p$\_$value $<0\mathrm{.}05$ else $\text{'}$no$\text{'}$