The spreadsheet 73_car_data.csv#ontains the following variables:

Variable name

Variable meaning

foreign

1 if foreign, 0 otherwise

mpg

Gas mileage (miles per gallon)

cylinders

Number of cylinders

displacement

Engine displacement (cubic inches)

hp

Horse power

weight

Vehicle weight (pounds)

acceleration

Maximum acceleration (ft/s2)

modelyr

Model year

origin

Continent of origin. 1=North America; 2=Europe; 3=Asia;

name

Vehicle name

Modyr70-82

Binary variable for model year

I. [75 points total] Using the given data, estimate a logistic regression model to explain ¯reign!s a function of selected explanatory variables, including binary variables for model year (Think about your model!).

To earn credit, please solve the following questions using R:

[15 points] Generate summary statistics for these variables (including min, max, mean, standard deviation, median, 25th and 75th quartiles) and interpret the results;

[15 points] State and justify your binary logit model explaining ¯reignü/p>

[10 points] Estimate a binary logit model that includes binary variables for model year;

[25 points] Summarize your results in a table and interpret them (odds ratios are convenient); 5. [10 points] Discuss goodness-of-fit measures;