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. 2019 Apr 28;9(5):202. doi: 10.3390/ani9050202

Table 3.

Logistic regression output and obtained odds ratios for the prediction of the presence of a tool for automated estrus detection (AED), milk yield recording (AMYR), and mastitis detection (AMD) in the farms, as determined by the analysis of general farm information.

Variable β Estimate SE p-Value Odds Ratio 95% CI
Automated estrus detection (AED)
(Intercept) −3.48800 0.88260 <0.001 0.0306 0.0052–0.1659
Farmer’s age (class 1 to 5) −0.15480 0.08805 0.079 0.8566 0.7198–1.0173
Own farmland (ha) 0.00539 0.00218 0.013 1.0054 1.0013–1.0099
Herd size (no. of dairy cows) 0.00423 0.00135 0.002 1.0042 1.0016–1.0070
Herd average 305 day MY (kg/cow) 0.00027 0.00008 0.001 1.0003 1.0001–1.0004
Automated milk yield recording (AMYR)
(Intercept) −3.36500 0.82210 <0.001 0.0346 0.0066–0.1672
Land owned by farmers (ha) 0.00505 0.00204 0.013 1.0051 1.0012–1.0093
Herd size (no. of dairy cows) 0.00526 0.00131 <0.001 1.0053 1.0027–1.0079
Herd average 305 day MY (kg/cow) 0.00015 0.00008 0.081 1.0001 1.0000–1.0003
Automated mastitis detection (AMD)
(Intercept) −1.68968 0.36779 <0.001 0.1846 0.0879–0.3729
Farmer’s age (classes 1 to 5) −0.20208 0.09958 0.042 0.817 0.6718–0.9935
Herd size (no. of dairy cows) 0.00554 0.00089 <0.001 1.0056 1.0039–1.0074

β = regression coefficient. SE = Standard Error. CI = Confidence Interval.