# Voting-trust in politicians

**Hypothesis: **Those who trust politicians are more likely to vote.

weight off.

fre vote.

RECODE vote (1=1) (2=0) INTO vote_dummy.

VARIABLE LABELS vote_dummy ‘voted last election dummy’.

VALUE LABELS vote_dummy 0’no’ 1’yes’.

fre vote vote_dummy.

fre trstplt.

RECODE trstplt (0 thru 5=0) (6 thru 10=1) INTO trstplt_dummy.

VARIABLE LABELS trstplt_dummy ‘Trust in politicians dummy variable’.

VALUE LABELS trstplt_dummy 1’trust’ 0’no trust’.

fre trstplt trstplt_dummy.

LOGISTIC REGRESSION vote_dummy WITH trstplt_dummy.

*If you want to create the graphs then you can get the data with the following command:.

CROSSTABS vote_dummy BY trstplt_dummy /CELLS=COLUMN.

**b1:** The log odds of voting among those who trust politicians are by 1.599 higher than among those who do not trust politicians.**b0:** The log odds for voting among those who do not trust politicians are 0.854.**b0+b1: **The log odds of voting among those who trust politicians is (0.854+1.599).**Exp(b1):** The odds of voting among those who trust politicians are 4.947 times as high as among those who do not trust politicians.**Exp(b0)**: The odds for voting among those who do not trust politicians are 2.349.**Exp(b0)*Exp(b1): **The odds of voting among those who trust politicians are (4.947*2.349).

**Conclusion: **The results support the hypothesis stating that “Those who trust politicians are more likely to vote” since the p-value is smaller than 0,05 and the odds for voting among those who trust politicians are higher than among those who do not trust politicians.