Logit Regression Predicting Favorability Toward the Death Penalty Table 6. Controlling for Region, Race, Religiosity, Liberal Identification, Conservative Identification & Gender Predictor Coefficient(SE) Odds Ratio West -.040(.083) -.039 Midwest .114(.169) .120 Northeast -.483(.360) -.383 Race -.468(.070)** -.373 Religiosity -.222(.098)* -.199 (Attendance) Gender -.144(.052)* -.134 Liberal Identification -.713(.122)** -.509 Conservative .069(.025)* .071 Identification Midwest*Religiosity -.061(.078) -.059 West*Religiosity .012(.042) .012 Northeast*Religiosity .085(.179) .088 y-intercept 1.652(.226)** 4.217 < .05* < .001** n = 1917 adjusted R2 = .076 p p Figures Effect of region and religiosity on favorability toward the penalty Figure 1. for black respondents. = .690 n = 280 = .708 p χ²
Table 6. Logit Regression Predicting Favorability Toward the Death Penalty Controlling for Region, Race, Religiosity, Liberal Identification, Conservative Identification & Gender Predictor Coefficient(SE) Odds Ratio West -.040(.083) -.039 Midwest .114(.169) .120 Northeast -.483(.360) -.383 Race -.468(.070)** -.373 Religiosity (Attendance) -.222(.098)* -.199 Gender -.144(.052)* -.134 Liberal Identification -.713(.122)** -.509 Conservative Identification .069(.025)* .071 Midwest*Religiosity -.061(.078) -.059 West*Religiosity .012(.042) .012 Northeast*Religiosity .085(.179) .088 y-intercept 1.652(.226)** 4.217 p < .05* p < .001** n = 1917 adjusted R2 = .076 Figures Figure 1. Effect of region and religiosity on favorability toward the penalty for black respondents. χ² = .690 n = 280 p = .708
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