6. Binary dependent variable : a) b) d) f) g) Estimate a linear probability model where the outcome of interest is whether a state has an above average smoking rate and the predictor is cigarette taxes .Interpret the estimated slope coefficient Provide a scatterplot the includes the estimated regression equation In general , what is the main problem associated with the linear probability model ? Is that problem encountered for the model you estimated ? Estimate a logit model using the same variables you used for the linear probability model . Calculate and interpret the change in the odds of a state having an above average smoking rate from an increase in cigarettes taxes from $1 to $2. Interpret the marginal effect at the mean value of cigarette taxes. Interpret the results from the classification table provided in the output from the logit regression Does the model seem to do a good job predicting when a state has an above average smoking rate ? Why is the logit model typically preferred over the linear probability model