Question 4: Exercise 14-12, page 151. Logistic Regression. Please answer: Exercise 14-12: "g" on page 153. Consider a 60 year old white female ..... What is the predicted probability that this person will vote? PSRM 3c Table 14.11.ing TABLE 14-11 Logistic Regression of Turnout on Advertising Recall and Other Variables Variable Partial Coefficient Standard Error Negative ad comment: 1 = yes, 0 = no -2005 1792 Positive ad comment: 1 = yes, 0 = no 2652 2806 Newspaper political news index 0337 0113 Age in years 0295 0054 Campaign interest: 1 = somewhat, 0 = otherwise 3824 .1672 Campaign interest: 1 = very much, 0 = otherwise 2.0460 .3260 Gender: 1 = female, 0 = male 3195 .1533 Time from interview to election (in days) -.0053 .0043 Independent leaner: 1 = independents who lean toward a party. 0 = otherwise 8183 2647 Weak partisan: 1 = weak partisan, 0 = all others .7279 .2543 Strong partisan: 1 = strong partisan, 0 = all others 1.7830 2935 Race: 1 = white, 0 = nonwhite 1962 2057 Constant -4.4223 4223 W= 1,373. Percentage of respondents correctly predicted 81%, based on these variables plus others not in this table. Coded on scale from 0 to 28 with 28 being highest interest. b Pure independent treated as reference category. 0 0.905 0 0.9501 0 0.915 0 0.951