n this assignment, students will build on the bivariate analysis by conducting multivariate analysis using OLS regression. Dataset: states_REG Dependent Variable: Cigarette consumption (cigarettes) Using the cigarette consumption variable as your dependent variable and the cigarette tax (cig_tax) as your key explanatory variable, do the following: 1. Run a bivariate regression between cigarette consumption (cigarettes) and cigarette taxes (cig_tax). [NOTE: This should be the same model complete in the Bivariate Statistics Assignment]. 2. Run a multivariate regression model with the following control variables (include the results in your homework). NOTE: For the multivariate regression, you should include these variables in the model as control in addition to the cig_tax variable from the bivariate model a. Percent of population with college degree (college) b. Percent of population age 18-24 (pop_18_24) c. Per capita income (prcapinc) d. Percent urban population (urban) 3. Rerun the model, but this time, also control for Southern states (south). NOTE: this variable should be added to the model above (i.e. you should have a total of 6 IVs in this model)