Question about DATA ,business and statistic, due 5 hours later
Nancy 00001
ppt.pptx
The influence factor of vote
Team member:
Problem description
2
we evaluate the effect of age, gender, whether an individual actually received and listened to the entire call and whether busy or not on voting.
Dataset
3
European Election Database.
Data Source
Website
Sampling Method
https://nsd.no/european_election_database/
Random Sampling; n=188
Questions of interest
4
Is there an association between gender and whether an individual vote or not?
Is there an association between age and whether an individual vote or not?
Is there an association between whether an individual actually received and listened to the entire call and whether he/she vote or not?
Is there an association between County and individual’s county development degree and whether he/she vote or not?
Analysis to be completed
5
Qualitative variables
Bivariate variables
Correlation : vote and gender
Chi-square test: vote and gender
Regression Analysis: vote and age
Correlation
Main Variables
6
Vote: binary variable. Whether an individual vote or not.
Age: age of an individual.
Female: equal to 1 for female and 0 for male.
Contact: equal to 1 for people who actually received and listened to the entire call encouraging you to vote.
County: the development degree of the voter’s county.
Univariance analysis —— Age
7
Univariance analysis —— County
8
Univariance analysis —— Vote and Age
9
1
Correlation Analysis
2
Regression Analysis
Correlation = 0.3134
The correlation between vote and age is positive and median
The fitting equation is not significant.
Univariance analysis —— Vote and Gender
10
1
Correlation Analysis
2
Chi-square test: vote and gender
Correlation = 0.3134
The gender and vote is independent.
The correlation between vote and gender is positive and median.
Univariance analysis —— Vote and Contact
11
1
Correlation Analysis
2
Chi-square test: vote and contact
Correlation = 0.1193
The correlation between vote and gender is positive and weak
Univariance analysis —— Vote and County
12
1
Correlation Analysis
2
Regression Analysis
Correlation = -0.15787
The correlation between vote and county is negative.
Fitting equation: Vote = 0.7837 – 0.0026*County
Conclusion
13
1
There is no significant association between gender and whether an individual vote or not.
The gender and vote is not dependent and the correlation between vote and gender is positive and median
2
there an positive and weak association between whether an individual actually received and listened to the entire call and whether he/she vote or not.
The correlation between vote and county is negative, the better the county’s develop, the more voters.
THANKS
