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Part 2: Answer the questions below. (24 points) Political scientists have long noted education has a positive effect on many forms of political participation including

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Part 2: Answer the questions below. (24 points) Political scientists have long noted education has a positive effect on many forms of political participation including voting. Similarly, political scientists argue individuals are more likely to vote in an election when that election is perceived to be competitive. For Part 2 of this assignment, you will use the states dataset to evaluate these claims in the context of the 2012 presidential election. Hypothesis 1: In a comparison of states, states with higher college graduation rates will see higher levels of voter turnout than states with lower college graduation rates. Hypothesis 2: In a comparison of states, states seen as being competitive will see higher levels of voter turnout than states not seen as being competitive. The states dataset contains the following variables: vep 12_turnout = the percentage of the voting eligible population in each state that voted in the 2012 presidential election (dependent variable) college = the percentage of the state population with a college degree or higher (1st independent variable) cook_index3 = 1 = state that is seen as favoring the Republican Party; 2 = even (state that is seen as not favoring either party); 3 = state that is seen as favoring the Democratic Party (2nd independent variable) A. Use the Im function to run a multiple regression model and then use the summary function fill in the regression table below. (10 points) B. What are the unstated null hypotheses for both Hypothesis 1 and Hypothesis 2? (2 points) C. Interpret the intercept from this regression model. (2 points) D. Interpret the College coefficient from this regression model. (2 points) E. Interpret the Cook: Even coefficient from this regression model. (2 points) F. Interpret the Cook: More Democratic coefficient from this regression model. (2 points) G. Based on your interpretation of each coefficient, do you have enough evidence to reject the null hypothesis associated with Hypothesis 1? Do you have enough evidence to reject the null hypothesis associated with Hypothesis 2? Explain your answers. (2 points) H. What is the adjusted R-squared for this regression model? What does it tell us about this regression model? (2 points) Regression Results Variable Coefficient Estimate Standard Error P-value Intercept X X College Cook: Even Cook: More Democratic

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