1. Based on the above model result, which of the following statements is true? (
ID: 3230578 • Letter: 1
Question
1. Based on the above model result, which of the following statements is true?
(a). For every 1 year increase in years of education, the predicted probability of turning out to vote rises by about 0.04, or 4 percent
(b). The fact that the residual deviance is lower than the null deviance indicates that the model fits the data poorly
(c). The predicted probability that an individual with 0 years of education voted in the election is approximately 0.37, or 37 percent
(d). The largest possible marginal effect of years of education on the probability of turning out to vote is 0.01, or one percent
(e). None of these / cannot say
2. What is the predicted probability that an individual with x* = 14 years of education voted in the election according to the model?
(a). 0.93
(b). 0.72
(c). 0.56
(d). 0.28
(e). None of these / cannot say
3. What is the 95 percent confidence interval around the B1 parameter in the logistic regression model?
(a). (-0.011, 0.091)
(b). (0.014, 0.066)
(c). (-0.962, 0.053)
(d). (0.027, 0.053)
(e). None of these / cannot say
nod gle (tu family binomial(link logit")) rned out years education data: summary od) Call: gim formula turned out years education, family binomial. link logit") data df) Deviance Residuals: Min. 19 Median. Max -1.7809 1.4382 0.7984 0.8698 1.0975 Coefficients Estimate Std Error z value Pr (>Izl) (Intercept) 0.36670 0.15769 2.325 0.02005 years education 0.04352 0.01350 3.223 0.00127 Signif codes. 0 0.001 0.01 0.05 0.1 1 (Dispersion parameter for binomial fa ily taken to be 1) Null deviance 1226.8 on 999 degrees of freedom Residual deviance 1216.2 on 998 degrees of freedor AIC: 220.2 Number of Fisher Scoring iterations: 4Explanation / Answer
1. Based on the above model result, which of the following statements is true?
(a). For every 1 year increase in years of education, the predicted probability of turning out to vote rises by about 0.04, or 4 percent
2. What is the predicted probability that an individual with x* = 14 years of education voted in the election according to the model?
Regression ine is y=0.3667+0.0435x
=0.3667+0.0435*14
=0.969
Correct answer is e). None of these / cannot say
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