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Table 2 Logistic regression analysis summary

From: Precision education with statistical learning and deep learning: a case study in Taiwan

Variable

Estimate

SE

p

Odds ratio

95% CI

Intercept

−2.88

0.12

< .001

  

Academic performancea

0.30

0.13

.025

1.34

1.04–1.74

Student loan applicationsb

0.39

0.14

.004

1.47

1.13–1.92

Number of absences from schoolc

0.94

0.16

< .001

2.55

1.86–3.51

Number of alerted subjectsd

1.03

0.17

< .001

2.81

2.01–3.91

  1. aStudents whose class ranking percentage for their total score declined from the first to the second semester of the first school year
  2. bStudents who applied for student loans in both semesters of the first school year
  3. cStudents who were absent for more than 40 class sessions in the first school year
  4. dStudents who received alerts for more than two subjects in either semester of the first school year