Below are the output from a binary logistic regression analysis where the dependent Variable Survived coded as 1 for Survived and 0 for Not Survived and independent Variables: Age, Fare, Sex. c) Review Part B output and interpret odds ratios for the variables. d) Review Part C output and comment on the classification accuracy of the model.

Dependent Variable: Survived 1- Survived and 0 - Not Survived

Independent Variables: Age, Fare, Sex

Part A:

Chi-sq: 13.55; df: 3; p-value: 0.003 and alpha: 0.05

Part B:

	coeff b	s.e.	Wald	p-value	exp(b)	lower	upper
Intercept	-2.71	1.4	3.76	0.05	0.07
Age	0.05	0.04	1.64	0.2	1.05	0.97	1.14
Fare	0	0.02	0.09	0.77	1	0.96	1.03
Sex	2.95	1.01	8.58	0.00	19.19	2.66	138.52

Lower and upper columns are 95% confidence limits for the odds ratios exp(b).

Part C:

	Suc-Obs	Fail-Obs	Total
Suc-Pred	12	3	15
Fail-Pred	3	12	15
Total	15	15	30