Sources2way=glm(disSources_nm~(Race*Age0)+(Race*Gender)+(Race*PovStat),data=Pat2)
summary(Sources2way) 
## 
## Call:
## glm(formula = disSources_nm ~ (Race * Age0) + (Race * Gender) + 
##     (Race * PovStat), data = Pat2)
## 
## Deviance Residuals: 
##    Min      1Q  Median      3Q     Max  
## -8.917  -4.271  -1.114   3.115  22.684  
## 
## Coefficients:
##                        Estimate Std. Error t value Pr(>|t|)    
## (Intercept)            15.39808    0.88372  17.424  < 2e-16 ***
## RaceAfrAm              -0.78770    1.11785  -0.705  0.48108    
## Age0                    0.02106    0.01766   1.192  0.23335    
## GenderMen              -1.06053    0.33876  -3.131  0.00176 ** 
## PovStatBelow            0.55489    0.35968   1.543  0.12300    
## RaceAfrAm:Age0          0.04633    0.02211   2.095  0.03625 *  
## RaceAfrAm:GenderMen     1.78459    0.41878   4.261  2.1e-05 ***
## RaceAfrAm:PovStatBelow -0.08610    0.43607  -0.197  0.84350    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 29.02332)
## 
##     Null deviance: 90620  on 2957  degrees of freedom
## Residual deviance: 85619  on 2950  degrees of freedom
## AIC: 18367
## 
## Number of Fisher Scoring iterations: 2
exp(confint(Sources2way))
##                               2.5 %       97.5 %
## (Intercept)            8.611512e+05 2.751199e+07
## RaceAfrAm              5.086199e-02 4.068375e+00
## Age0                   9.865262e-01 1.057258e+00
## GenderMen              1.782654e-01 6.726124e-01
## PovStatBelow           8.606447e-01 3.524913e+00
## RaceAfrAm:Age0         1.002992e+00 1.093813e+00
## RaceAfrAm:GenderMen    2.621616e+00 1.353644e+01
## RaceAfrAm:PovStatBelow 3.903204e-01 2.156731e+00