Table 3.

Linear regression results.

Variable X	Average of EF when Variable X Is True (E(Y|X = 1)	Count of EF when Variable X Is True(N(Y|X = 1)	Average of EF when Variable X Is False(E(Y|X = 0)	Count of EF when Variable X Is False(N(Y|X = 0)	p-Value Different EF Means	beta0	beta1	beta1 std Error	p-Value beta1	r Squared
gender_male	39.1	91	44.7	106	0.002	44.717	−5.585	1.76	0.002	0.049
high_education	45.4	147	32.5	50	0	32.52	12.888	1.85	0	0.199
severe_valvulopathy	31.6	33	44.3	164	0	44.256	−12.65	2.232	0	0.141
ischemia_yes	36.9	116	49.7	81	0	49.704	−12.85	1.58	0	0.253
smoker_yes	35.5	80	46.7	117	0	46.684	−11.196	1.647	0	0.192
obesity_yes	40.2	158	50	39	0	50.026	−9.836	2.145	0	0.097
high_cholesterol	37.4	27	42.9	170	0.034	42.894	−5.524	2.586	0.034	0.023
diabetes_yes	41.7	99	42.6	98	0.639	42.561	−0.844	1.798	0.639	0.001