A political scientist is interested in the factors that predict the likelihood that a person will vote. Using a subset of data from the American National Election Study (ANES), she investigates the relationship between a person's rated likelihood that they would vote in the November 2016 election, on a scale from 1 to 5 , and their belief in voting as a civic duty, on a scale from 1 to 5 . (Y-M)^(2) 7.34 + Duty (X) X-M (X-M)^(2) Vote (Y) Y-M 1 -2 4 1 2.71 2 -1 1 3 -0.71 0.50 2 -1 1 5 1.29 1.66 4 1 1 4 0.29 0.08 30 0 4 0.29 0.08 30 0 5 1.29 1.66 41 1 4 0.29 0.08 5 2 4 4 0.29 0.08 3 0 0 2 -1.71 2.92 1 -2 4 3 -0.71 0.50 41 1 5 1.29 1.66 3 0 0 3 -0.71 0.50 5 2 4 5 1.29 1.66 2 -1 1 4 0.29 0.08 Mean Duty-3 wwwwwww Mean Vote =3.71 wwwwwwwn 1. Build the unstandardized regression equation to predict voting likelihood from duty rating. 4. Build the standardized regression equation to predict voting likelihood from duty rating