/* Binary (Indicator) Regression Exercises */

* Using the auto data
clear
sysuse auto

/* (1) Estimate of the effect of foreign/domestic manufacturer
      on mpg.  (In 1978, this would have been where the car was
	  actually made!)
	  - What does the coefficient 4.9 mean?
	  - What does the coefficient _cons mean?
	  - Should we think that a vehicle's origin predicts mpg?
*/
/* (2) Good repair records.
      Estimate of the effect of good repair record (rep78 of 4 or 5)
      on mpg.  First you will need to create an indicator variable.
	  - What does the coefficient for good repair record tell us?
	  - What does the coefficient _cons tell us?
	  - Should we think that good repair causes good mpg?
	  - (Bonus) What is the relationship between the variables in 
	    questions (1) and (2)?
*/

* Using the Mendota ice data
clear
use "https://sscc.wisc.edu/~hemken/Stataworkshops/regress/Mendota2022"

/* (3) How much has the duration of ice cover changed from the
       20th century (years 1900 - 1999) to the 21st century
	   (years 2000-to now), so far?
*/