1. Which of the other variables seem most likely to be useful in predicting whether a car's MPG Is above or below its median? a. First create a binary variable that indicates if the particular car's MPG is equal to or above (1) or below (0) the median MPG for this dataset. b. Then create visual representations of the relationship between mpg_binary and other variables. For the Origin variable, the labels are: 1=American, 2=German, 3=Japanese. Please use this information appropriately in your analysis. c. Lastly, estimate and interpret the Logistic Regression model using mpg_binary as the dependent variable and the others as independent variables. Find the 'best' model with the given predictors. Your answer to the Logistic Regression part should at least include the following: reference p-values and explain significance/insignificance; interpret the coefficients or Odds Ratios; Pick a good threshold for your prediction cutoff and find the sensitivity and specificity of the model using that threshold; and use the above estimates to predict the probability of being above or below the Median MPG for the following car features