The 2010 version of the General Social Survey asks the question Do you favor or oppose the death penalty for persons convicted of murder We want to know what explains why people oppose the death penalty The response favor is coded as a 1, and the response oppose is coded as a 2 A logistic regression model was estimated The SPSS output is below Model Summary Step 2 Log likelihood Cox Snell R Square Nagelkerke R Square 1 1362 658 a 028 040 a Estimation terminated at iteration number 4 because parameter estimates changed by less than 001 Variables in the Equation B S E Wald df Sig Exp(B) Step 1 a age 007 005 2 485 1 115 993 degree 233 055 18 243 1 000 1 263 sex 307 134 5 261 1 022 1 359 rincome 061 021 7 985 1 005 941 Constant 826 356 5 370 1 020 438 a Variable(s) entered on step 1 age, degree, sex, rincome Answer the following The 2 log likelihood value is statistically significant What does this value tell us (3 points) The Nagelkerke R 2 value is 0 040 Interpret the value (3 points) Which variables are statistically significant at the 95 confidence level (3 points) The variable degree is an ordinal variable measured in terms of increasing levels of education (less than high school, high school, junior college, bachelor, graduate) Interpret the regression coefficient for the variable degree by computing the odds ratio (3 points) The variable sex is a dichotomous variable with males coded as a 1 and females coded as a 2 Interpret the regression coefficient for the variable sex by computing the odds ratio (3 points)

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The 2010 version of the General Social Survey asks the question: Do you favor or oppose the death penalty for persons convicted of murder? We

The 2010 version of the General Social Survey asks the question: Do you favor or oppose the death penalty for persons convicted of murder? We want to know what explains why people oppose the death penalty. The response favor is coded as a 1, and the response oppose is coded as a 2.

A logistic regression model was estimated. The SPSS output is below.

Model Summary
Step	-2 Log likelihood	Cox & Snell R Square	Nagelkerke R Square
1	1362.658^a	.028	.040
a. Estimation terminated at iteration number 4 because parameter estimates changed by less than .001.

Variables in the Equation
	B	S.E.	Wald	df	Sig.	Exp(B)
Step 1^a	age	-.007	.005	2.485	1	.115	.993
degree	.233	.055	18.243	1	.000	1.263
sex	.307	.134	5.261	1	.022	1.359
rincome	-.061	.021	7.985	1	.005	.941
Constant	-.826	.356	5.370	1	.020	.438
a. Variable(s) entered on step 1: age, degree, sex, rincome.

Answer the following:

The -2 log likelihood value is statistically significant. What does this value tell us? (3 points)

The Nagelkerke R² value is 0.040. Interpret the value. (3 points)

Which variables are statistically significant at the 95% confidence level? (3 points)
The variable degree is an ordinal variable measured in terms of increasing levels of education (less than high school, high school, junior college, bachelor, graduate). Interpret the regression coefficient for the variable degree by computing the odds ratio. (3 points)
The variable sex is a dichotomous variable with males coded as a 1 and females coded as a 2.. Interpret the regression coefficient for the variable sex by computing the odds ratio. (3 points)