Predictors or independent variables that may predict mortality outcome

	B	SE (B)	Wald	Odds Ratio (OR)	P-value	95% CI for OR
Lower	Upper
Constant	-8.797	2.927	9.032	0.00	0.003
Age	0.079	0.034	5.328	1.08	-	1.012	1.156
Sex	-0.554	0.639	0.751	0.58	0.386	0.164	2.011
NDX NPR	0.207 -0.071	0.104 0.226	3.922 0.097	1.23 0.93	0.048 0.755	1.002 0.598	1.509 1.451
N = 105, Nagelkerke R2 = 0.256 Hosmer-Lemeshow Chi-square test = 7.118, df= 8, P-value= 0.524

f. Based on the logistic regression model presented in the table, what conclusion can be made? Highlight or bold the correct answer. (1 point) a. Age is not a significant predictor in the model. b. For each additional diagnosis, there is a 2.3% less odds of death for a septic patient. c. For each additional year of life, there is a 8% more odds of death for a septic patient. d. For each additional procedure, a septic patient is 9.3% less likely to die.

1. Which variable is the most significant predictor in the model, provide statistical evidence? (1 point)

1. Which variables are significant predictors in the model? Provide statistical evidence. (2 pts)