I am unfamiliar with the stata program and having a difficult time figuring these two problems out.

10) Now in order to explain the changes better in insurance charges, run the following two multiple regression models with dummy variables and write out the regression equations for both models using the coefficients from the reyession outputs. (Put only two digts to the right of the decimal point) [30 points] Multiple Regression Model 1: Charges = [30 + [31 * Age + [32 * BMI + [33 * Children + [34 * Female + BS * Smoke + [36 * Northeast + B, * Northwest + [38 * Southeast Multiple Regression Model 3: Charges = [30 + [31 * Age + [32 * BMI + [33 * Children + [3,, * Male + [35 * Smoke_Free + [36 * Northeast + [37 * Northwest + [38 * Southwest where Smoke: A dummy variable which is equal to 1 if a person is a smoker, and to 0 if the person is not a smoker. Smoke_1"ree: A dummy variable which is equal to 1 if a person is not a smoker, and to 0 if the person is a smoker. Female: A dummy variable which is equal to 1 if a person is a female, and to 0 if the person is not a female. Male: A dummy variable which is equal to 1 if a person is a male, and to 0 if the person is not a male. Northeast: A dummy variable which is equal to 1 if a person is from Northeast, and to 0 if the person is not the Northeast region. Northwest: A dummy variable which is equal to 1 if a person is from Northwest, and to 0 if the person is not the Northwest region. Southeast: A dummy variable which is equal to 1 if a person is from Southeast ,and to 0 if the person is not the Southeast region. Southwest: A dummy variable which is equal to 1 if a person is from Southwest, and to 0 if the person is not the Southwest region. Note that you must share your Stata codes you have used to create the dummy variables and the regression outputs. 11) Write out again the equation for the Multiple Regression Model 1 using the coefficients from your regression results and explain in detail what each of the coefcients indicates (Put only two digits to the right of the decimal point). In your explanations consider the units of measurement used in the variables. [45 points]