MODEL REGRESI LOGISTIK BINER PADA MINAT BEKERJA DI LUAR KOTA

Abstract

This study aims to determine the factors that influence the interest in working outside the
city. Various factors include age, education level, income on interest in working outside the city.
To achieve this goal, the type of data in this study is quantitative data. The data used is primary
(obtained directly from the source through a questionmaire) with the analysis technique using the
Binary Logistic Regression Technique because the variables are dichotomous, namely using a
dummy scale. From the results of the calculation of the Slovin formula, a total sample of 99 people
was obtained, but this research was conducted with 100 respondents. Data analysis was carried
out using the SPSS application version 16.0 for windows. The results showed that the variables of
age and income had a significant effect on interest in working outside the city, while the level of
education had no significant effect on the interest in working outside the city.