Not yet answered With voter turnout during presidential elections around 43%, a vital task for politicians is to try Marked out of to predict who will vote. A variable used to determine who is likely to vote was created and 10.00 defined as follows. INTENT: 1 = Definitely will not vote; 2, 3, 4, 5, 6, 7, 8, 9, 10 = Definitely will Flag vote. A pollster conducted a survey that recorded the variable as well as age, education, and question income. The following output is provided: SUMMARY OUTPUT Regression Statistics Multiple R 0.36372197 R Square 0.142293672 Adjusted R Square 0.117502062 Standard Error 2.690059588 Observations 109ANOVA of SS MS F Regression 3 115.8455631 38.61518769 5.336227658 Residual 105 759.8241617 7.236420588 Total 108 875.6697248 Coefficients Standard Error t Stat Intercept 2.326931814 2.007356844 1.159201873 AGE 0.021456726 0.015607187 1.374797704 EDUC -0.27674627 0.133059881 2.07986266 INCOME 1.66514E-05 7.30326E-06 2.279999319 a) State the sample regression model. b) Test the model's validity at 95% confidence. c) Test to determine whether there is evidence at the 1% significance level to infer that age plays a factor in voter intent. In order to get full marks, you must show all your calculation steps. Failure to do so will result in a score of "("