Answer the questions that follow this SPSS output:
Descriptive Statistics
Dependent Variable: EARNIN04 Total Waoes and Salaries in 2004

\begin{array}{|ll|r|r|r|}\hline \text { RACE } & \text { FEMALE } & {\text { Mean }} & \text { Std. Deviation } &{\mathrm{N}} \\\hline \text { 1 Hispanic } & 0 \text { no (male) } & 41285.98 & 42998.204 & 44 \\& 1 \text { yes (female) } & 24631.31 & 24530.302 & 36 \\& \text { Total } & 33791.38 & 36639.398 & 80 \\\hline \text { 2 Black, not Hispanic } & 0 \text { no (male) } & 36485.53 & 41976.763 & 53 \\& 1 \text { yes (female) } & 18507.82 & 19089.535 & 90 \\& \text { Total } & 25170.89 & 30815.198 & 143 \\\hline \text { 3 White, not Hispanic } & 0 \text { no (male) } & 61171.53 & 63147.153 & 379 \\& 1 \text { yes (female) } & 26921.99 & 30198.993 & 489 \\& \text { Total } & 41876.57 & 50405.556 & 868 \\\hline \text { 4 Other, not Hispanic } & 0 \text { no (male) } & 37740.00 & 25030.741 & 5 \\& 1 \text { yes (female) } & 2250.00 & 4500.000 & 4 \\& \text { Total } & 21966.67 & 25898.552 & 9 \\\hline \text { Total } & 0 \text { no (male) } & 56388.83 & 59902.208 & 481 \\& 1 \text { yes (female) } & 25405.95 & 28619.045 & 619 \\& \text { Total } & 38953.92 & 47583.774 & 1100 \\\hline\end{array}

Tests of Between-Subjects Effects
Dependent Variable: EARNINO4 Total Wages and Salaries in 2004

\begin{array}{|l|r|r|r|r|r|}\hline \text { Source } & \begin{array}{c}\text { Type III Sum } \\\text { of Squares }\end{array} & \text { df } & \text { Mean Square } & \text { F } & {\text { Sig. }} \\\hline \text { Corrected Model } & 3.088 \mathrm{E}+011^{3} & 7 & 4.412 \mathrm{E}+010 & 22.105 & .000 \\\text { Intercept } & 1.158 \mathrm{E}+011 & 1 & 1.158 \mathrm{E}+011 & 58.043 & .000 \\\text { RACE } & 4.130 \mathrm{E}+010 & 3 & 1.377 \mathrm{E}+010 & 6.897 & .000 \\\text { FEMALE } & 2.036 \mathrm{E}+010 & 1 & 2.036 \mathrm{E}+010 & 10.199 & .001 \\\text { RACE =FEMALE } & 1.203 \mathrm{E}+010 & 3 & 4009953148 & 2.009 & .111 \\\text { Error } & 2.180 \mathrm{E}+012 & 1092 & 1995908127 & & \\\text { Total } & 4.158 \mathrm{E}+012 & 1100 & & & \\\text { Corrected Total } & 2.488 \mathrm{E}+012 & 1099 & & & \\\hline\end{array}

a. R Squared

= .124

(Adjusted R Squared

= .118 )

You have done a two-way analysis of variance with earnings (EARNIN04) as the dependent variable and RACE and FEMALE as the factor variables.
A) Is the overall model statistically significant? (yes / no)
B) Is the interaction effect statistically significant? (yes / no / skipped) (If this step was skipped because of earlier conclusions, write the word "skipped" as your answer.)
C) Is the main effect of RACE statistically significant? (yes / no / skipped) (If this step was skipped because of earlier conclusions, write the word "skipped" as your answer.)
D) Is the main effect of gender(FEMALE) statistically significant? (yes / no / skipped) (If this step was skipped because of earlier conclusions, write the word "skipped" as your answer.)

Your Research Hypothesis Is "In the Population, First Stays in the U.S

Multiple Choice

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