| dc.description.abstract | This study was conducted to see the influence of gender, school origin,
average length of study, the amount of pocket money and student domicile on the
value of the Statistics student achievement index of the University of North Sumatra.
This research was conducted using the Binary Logistic Regression method. To
determine the most suitable logistic regression model, a logistic regression analysis
was carried out by testing the entire parameter using the G test and wald test to test
each parameter coefficient and explain its descriptive. So 143 students were obtained
with a cumulative achievement index of ≥ 3.5 and 12 students with a cumulative
achievement index of < 3.5 out of 155 statistics students. The logistic regression
model that has the smallest statistical value of G is the most feasible model to use.
Based on the results of this study, the best model was obtained, namely:
ln
with a G test statistic of 13,647. Based on the parameter significance test using the
wald test, that the sex variable has a significant effect on the level of cumulative
achievement index value of statistics students. | en_US |
