Skip to main content
. 2022 Jun 9;12:9551. doi: 10.1038/s41598-022-13193-2

Table 3.

Ordinary least square regression model identifying significant factors of short birth interval in Bangladesh, BDHS 2017/18.

Variable category Coefficient Standard error t-statistics Probability Robust standard-error Robust t-statistics Robust probability VIF
Women’s age at first birth, ≤ 19 years 1.05 0.09 32.24 < 0.01 0.05 36.14 < 0.01 3.40
Women’s age at first birth, 20–34 years 0.92 0.06 29.12 < 0.01 0.03 34.12 < 0.01 1.95
Husbands did not receive formal education 1.13 0.23 41.12 < 0.01 0.07 42.34 < 0.01 3.12
Women not engaged in formal work 0.78 0.12 23.17 < 0.01 0.06 25.12 < 0.01 2.98
Gave birth to three or more children 0.34 0.07 21.12 < 0.01 0.03 14.12 < 0.01 1.93
The child born from the second most pregnancy died 0.41 0.06 7.00 < 0.01 0.04 6.00 < 0.01 1.40
Intercept 0.11 0.02 2.97 < 0.01 0.1 1.94 < 0.01
Model diagnostics
Number of observation (clusters) 672 Akaike’s Information Criterion (AIC) − 988.13
Multiple R-squared 0.62 Adjusted R-squared 0.62
Joint F-Statistics 1824.14 Probability (> F), (6672) degrees < 0.01
Joint Wald Statistics 158.13 Probability (> chi-squared), (6) degrees of freedom < 0.01
Koenker (BP) Statistics 1892.14 Probability (> chi-squared), (6) degrees of freedom < 0.01
Jarque–Bera Statistics 0.86 Probability (> chi-squared), (6) degrees of freedom < 0.01