13.20. Table 13.21 shows output for GSS data with y =

index of attitudes toward premarital, extramarital, and homosexual sex, for which higher scores represent more permissive attitudes. The categorical explanatory variables are race (0 for whites, 1 for blacks), gender (0 for males, 1 for females), region (0 for South, 1 for non-

South), and religion (r1 = 1 for liberal Protestant sect, r2 = 1 for conservative Protestant, r3 = 1 for fundamentalist Protestant sect, r4 = 1 for Catholic, r5 = 1 for Jewish;

no religious affiliation when r1 = · · · = r5 = 0).

The quantitative explanatory variables are age, education

(number of years), attendance at church (higher values represent more frequent attendance), and a variable for which higher values represent greater intolerance of freedom of speech for atheists and communists.

(a) Based on the parameter estimates, give a profile of a person you would expect to be (i) least permissive,

(ii) most permissive, with respect to sexual attitudes.

(b) Summarize your main conclusions from studying the output.

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TABLE 13.21 Analysis of Variance Sum of Squares df Mean Square F Regression 2583.326 12 Residual 4345.534 1092 215.277 3.979 54.098 R Square 0.373 Variable Coef. Std. Error Beta t Sig (Constant) 9.373 RACE 0.993 0.2040 0.125 4.869 .000 AGE -0.029 0.0042 -0.189 -6.957 .000 SEX -0.289 0.1230 -0.058 -2.353 .019 EDUC 0.073 0.0223 0.092 3.281 .001 REGION 0.617 0.1401 0.115 4.403 .000 ATTEND -0.286 0.0255 -0.304 -11.217 .000 R1 -0.296 0.2826 -0.049 -1.048 .295 R2 -0.605 0.2782 -0.113 -2.174 .030 R3 -1.187 0.3438 -0.128 -3.454 .001 R4 -0.127 0.2856 0.023 0.446 .656 R5 0.521 0.4417 0.034 1.179 .238 FREESPCH -0.465 0.0581 -0.227 -8.011 .000