Table 2.

Linear regression model predicting usability of the chatbot.

Coefficients	Estimate	SE	P value
Intercept	39.5	1.98	<.001
Response complexity (technical language)	–2.34	1.59	.15
Chatbot persona (“Doctor”)	–3.32	1.97	.10
Chatbot persona (“Nursing Student”)	–4.52	1.96	.02
Gender (male)	–3.38	1.70	.049
Student status (undergraduate)	7.05	2.27	.03