Determining E-Bike Drivers’ Decision-Making Mechanisms during Signal Change Interval Using the Hidden Markov Driving Model

Table 3

Variables in the equation.

Omnibus Tests of Model Coefficients	Chi-square	df	Sig.
	30.51	2	0
	30.51	2	0
	30.51	2	0
Hosmer and Lemeshow test	Chi-square	df	Sig.
	14.787	8	0.063
Model summary	-2 Log likelihood	Cox & Snell R^2	Nagelkerke R^2
	182.204^a	0.169	0.233
	a. Because the change range of parameter estimation is less than 0.001, the estimation terminates
	at 4 iterations.

Sig. of Omnibus Tests of Model Coefficients less than 0.05, indicating that it is significant; Sig. of Hosmer and Lemeshow test greater than 0.05, indicating that goodness-of-fit test of the model is significant; -2 Log likelihood, Cox & Snell R², and Nagelkerke R² showing that the fitting degree of the model is reasonable.