1# Verification checks (P4)2| # | check | outcome |3|---|---|---|4| 1 | Clean re-run of out/analysis.py (deleted outputs) regenerates byte-identical results.json | PASS |5| 2 | Exclusion ledger: 5217 − 215 − 1 = 5001 = n_analysed = n_train + n_test (2500 + 2501) = sum of table1 n | PASS |6| 3 | ANOVA F cross-checked with statsmodels OLS dy~C(weekday) overall F (0.26347, p 0.9015, df 4/4996) | PASS (identical to 1e-12) |7| 4 | Monday contrast Welch CI contains estimate; CI agrees with HC1 regression CI and Newey-West(5) CI to ~0.01 bp | PASS |8| 5 | SEs positive (table1 se_bp, effect_se_welch) | PASS |9| 6 | Chronology: max train date 2009-12-31 < min test date 2010-01-04; weekday means computed from train only (train_weekday_means_bp) | PASS |10| 7 | Magnitudes: baseline RMSE 4.88 bp vs full-sample sd of changes 5.72 bp (2000-09 more volatile) — plausible; model/baseline ratio ≈1.002 | PASS |11| 8 | Conclusion rule: ANOVA p=0.90 ≥ 0.05 → no_detectable_effect; Monday CI also covers 0 (consistent) | PASS |12| 9 | Equal-variance assumption of classical ANOVA: Levene p≈1e-7 rejects equal variances → ANOVA kept as prescribed; Kruskal-Wallis (p 0.47) and HC/HAC contrast CIs agree in not rejecting | NOTED (limitation) |13