Hello...i need some serious help. I am running a regression (its huge by the way, not sure if you all want me to copy and paste it in here), but i need to understand how to interpret the results. The command i entered for my regression:

ivprobit CM_HTN_C FEMALE RACE_1 RACE_2 RACE_3 RACE_4 RACE_5 RACE_6 ZIPINC_QRTL_1 ZIPINC_QRTL_2 ZIPINC_QRTL_3 ZIPINC_QRTL_4 HOSP_LOCTEACH_1 HOSP_LOCTEACH_2 HOSP_LOCTEACH_3 CM_AIDS CM_ALCOHOL C
> M_ANEMDEF CM_ARTH CM_BLDLOSS CM_CHF CM_CHRNLUNG CM_COAG CM_DM CM_DRUG CM_HYPOTHY CM_LIVER CM_LYMPH CM_LYTES CM_METS CM_NEURO CM_OBESE CM_PARA CM_PERIVASC CM_PSYCH CM_PULMCIRC CM_RENLFAIL CM_T
> UMOR CM_ULCER CM_VALVE CM_WGHTLOSS CM_DEPRESS CM_DMCX (EXT_SNAP = POLITICAL_AFFILIATION)

to explain the variables above:

Y = CM (for each selected CM per regression and in this case its CM_HTN_C)
Xi = EXT_SNAP
W1i = Race (all binary)
W2i = Female (binary)
W3i = Income Level/Zip Inc (all binary)
W4i = Hospital Location (all binary)
Wni = All Other 25 CMs (not including the selected as the dependent variable.

I need the logic behind interpreting the variables and also this Wald test of exogeniety (which this regressions results showed Wald test of exogeneity (corr = 0): chi2(1) = 89.31 Prob > chi2 = 0.0000)

If anybody can please help. I can post the full results, but wanted to see if anybody would even address the initial questions