Table 4. Summary of mixed-effects linear regression model using day as a random effect and RMSE as the response.

Model term	Estimate	SE	Lower CI	Upper CI	t-value	DF	p-value
(Intercept)	3.7528	1.2790	1.2461	6.2595	2.9343	Inf	3.3435 × 10−03
Ht	0.6276	0.1415	0.3503	0.9048	4.4363	Inf	9.1526 × 10−06
QMD	−0.2737	0.0923	−0.4547	−0.0928	−2.9653	Inf	3.0243 × 10−03