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