Here Is Some SPSS Output Using GSS2008 Data $\text { a. Dependent Variable: respondent's income in thousands }$

Here is some SPSS output using GSS2008 data:
$\begin{array}{c}\text { Coefficients }^{\mathrm{a }}\\\begin{array}{|ll|cc|c|r|r|}\hline&&\text { Unstandardized }& \text { Coefficients }&\begin{array}{c} \text { Standardized} \\ \text { Coefficients }\end{array}\\\hline& \text { Model }& \text { B } \quad\quad\quad\mid& \text { Std. Error } & \text { Beta } & {\mathrm{t}} & \text { Sig. } \\ \hline 1&\text { (Constant) } & 51.308 & 1.462 & & 35.101 & .000 \\&\text { recoded race }(\mathrm{W}=0, \mathrm{~B}=1) & -14.513 & 2.746 & -.155 & -5.285 & .000 \\&\text { SEX }(M=0, \mathrm{~F}=1) & -16.692 & 1.999 & -.245 & -8.350 & .000 \\\hline\end{array}\end{array}$

$\text { a. Dependent Variable: respondent's income in thousands }$ Among the unstandardized slopes, the slope for sex is only 15% larger than the slope for race. Among the standardized slopes, the slope for sex is 58% larger than the slope for race. Given what you know about American demographics, explain what you think happened.