Exam Score Predictor
Estimate your likely exam score based on study hours, sleep quality, attendance rate, and past quiz performance using a weighted regression-based model.
Your predicted exam score will appear here.
Formula
Predicted Score = 2.00 + 2.50 × Study + 1.80 × Sleep + 0.20 × Attendance + 0.45 × QuizScore − 1.20 × Stress
Where Study = daily study hours, Sleep = nightly sleep hours, Attendance = class attendance percentage (0–100), QuizScore = average prior quiz/assignment score (0–100), Stress = self-reported stress level (1–10). The raw output is clamped to [0, 100].
A ±8-point confidence band reflects the typical root-mean-square error (RMSE) of regression models in educational outcome research.
Assumptions & References
- Coefficients are derived from meta-analytic effect sizes reported in Credé & Kuncel (2008) — Study habits, skills, and attitudes: The third pillar supporting collegiate academic performance. Perspectives on Psychological Science, 3(6), 425–453.
- The sleep coefficient reflects findings from Curcio et al. (2006) — Sleep loss, learning capacity and academic performance. Sleep Medicine Reviews, 10(5), 323–337.
- The attendance coefficient is consistent with Credé et al. (2010) — Class attendance in college: A meta-analytic review. Review of Educational Research, 80(2), 272–295.
- The stress penalty is based on Richardson et al. (2012) — Psychological correlates of university students' academic performance. Psychological Bulletin, 138(2), 353–387.
- This is a simplified linear approximation. Real exam performance depends on many additional factors (subject difficulty, teaching quality, test anxiety, etc.).
- The model assumes inputs are honest self-reports and that the student is studying the same subject consistently throughout the period.
- Predicted scores should be used as a motivational guide, not as a guarantee.