Run a multiple regression with clinton and 4 predictor variables - gender, education, partisan identification, and political ideology. Evaluate the overall model and identify any statistically significant relationships.
Using the 2016 ANES, replicate the analysis with feelings towards Trump using feelings towards Hillary
Clinton. The variable for Clinton is V161086 and use the same 8 predictor variables.
nes2 <- na.omit(nes)
nes2 <- subset(nes2, select=c(clinton:education.fac))
summary(model.1 <- lm(clinton ~ gender + education + pid.num + ideology.num, data=nes2))
Call:
lm(formula = clinton ~ gender + education + pid.num + ideology.num, data = nes2)
Residuals:
Min 1Q Median 3Q Max
-76.044 -12.818 -1.375 14.183 91.210
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 90.5794 4.5749 19.799 < 2e-16 ***
gender1. Female 1.0264 1.2756 0.805 0.421
education 0.2645 0.2859 0.925 0.355
pid.num -10.0759 0.4103 -24.558 < 2e-16 ***
ideology.num -2.8864 0.5686 -5.076 4.45e-07 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 22.12 on 1208 degrees of freedom
Multiple R-squared: 0.5681, Adjusted R-squared: 0.5666
F-statistic: 397.2 on 4 and 1208 DF, p-value: < 2.2e-16
confint(model.1, level=.95)
2.5 % 97.5 %
(Intercept) 81.6038047 99.555082
gender1. Female -1.4763138 3.529139
education -0.2965445 0.825475
pid.num -10.8808514 -9.270932
ideology.num -4.0018986 -1.770850
We see that the overall model is statistically significant and the adjusted R2 is .57 indicating that our model explains roughly 57% of the variance in feelings towards Clinton. Gender and education are not significant but the other two predictors are statistically significant. Partisan identification and political ideology both have negative coefficients indicating that as respondents’ become more Republican and more conservative their feelings towards Clinton decrease. And we see our significance results are supported by the 95% confidence intervals.
You might also like to view...
. Which of the following should be used to describe characteristics of a sample?
A. inferential statistics B. population parameters C. sample statistics D. population statistics
What is the maximum amount a family of four can receive in food stamps for the
period 2009-2011? A. $ 523 B. $ 668 C. $ 1050 D. $ 150
In data analysis, the term graph refers to:
a. a frequency distribution in a table format. b. a visual representation of a frequency distribution. c. a grouped frequency distribution designed for interval?ratio data. d. the statistics generated by spreadsheet software.
Collaborative case management refers to
a. experts providing service to a case. b. offering a menu of supports and services to the client c. referral after referral. d. a group effort in which the leadership is provided by the substance abuse counselor.