Can you please write for me a short detailed analysis regarding the below logistic analysis ?

For your information: the variables of this analysis are as follows:

Y variable = success to get a loan. 1= success, 0=failed

X variable = sex. 1= male, 0= female

X variable = income. 1 = high income, 0= low income.

X variable = hasHouse. 1= has a house, 0= does not have a house

x variable = hasCar. 1= has a care, 0= does not have a car

Logistic Regression LL statistics # Iter 20 Alpha 0.05 coeff s. e Wald p-value exp(b) lower upper LL -369203 intercept 0.69881088 0.013053 2865.996 2.01136 LLO -402424 Sex -0.8191739 0.006965 13832.04 0.440796 0.434819 0.446854 Chi-sq 66442.56 Age -1.54921 0.011097 19489.37 0.212416 0.207846 0.217086 df 5 Income 0.78400769 0.006207 15955.96 2.190232 2.16375 2.217039 p-value 0 hasHouse 0.44290577 0.005845 5741.853 1.557226 1.539488 1.575168 R-sq (L) 0.082553 hasCar 0.02850753 0.006722 17.98662 0.000 1.028918 1.015451 1.042563 R-sq (CS) 0.100582 R-sq (N) 0.139098 AIC 738417.7 ROC Curve BIC 738485.8 0.9 True Positive Rate O 0 0.2 0.4 0.6 0.8 1 False Positive Rate