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Binary logistic regression model for predicting a user’s reported state of focus based on EDA, body temperature, and heart rate. This model controls for variations in each participant’s intercepts and trends (χ2 = 4224.09, df = 31, p << 0.001).
| Variable | B | SE | χ2 (df = 1) | p-Value | OR |
|---|---|---|---|---|---|
| EDA | −1.424 | 0.114 | 157.288 | 0.000 | 0.241 |
| TEMP | −0.954 | 0.098 | 94.613 | 0.000 | 0.385 |
| HR | 0.332 | 0.111 | 8.941 | 0.003 | 1.394 |
