Standard Error Likelihood Ratio 95% Conf. Limits Parameter Estimate Chi-Square Intercept def vic -3.5961 -0.8678 2.4044 0.5069 0.3671 0.6006 -4.7754 -1.5633 1.3068 -2.7349 -0.1140 3.7175 50.33 5.59 16.03 LR Statistics Chi-Square Source DF Pr > Chisa def vic 1 1 5.01 20.35 0.0251 <.0001 recall the study out of florida mentioned in homework problem which stated that death penalty was given cases a white person indicted for killing black and person. table above shows computer output from fitting logistic regression model as response yes o="no)," using defendant race victims binary predictors. based on parameter estimates group is most likely to have estimate probability case. b interpret race. c information shown construct likelihood-ratio confidence interval conditional odds ratio between verdict d test effect controlling wald or likelihood- test. interpret. standard error likelihood conf. limits chi-square intercept def vic lr statistics source df pr> Chisa def vic 1 1 5.01 20.35 0.0251 <.0001 recall the study out of florida mentioned in homework problem which stated that death penalty was given cases a white person indicted for killing black and person. table above shows computer output from fitting logistic regression model as response yes o="no)," using defendant race victims binary predictors. based on parameter estimates group is most likely to have estimate probability case. b interpret race. c information shown construct likelihood-ratio confidence interval conditional odds ratio between verdict d test effect controlling wald or likelihood- test.>