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Answer the Questions That Follow This SPSS Output:
Descriptive

Question 44

Short Answer

Answer the questions that follow this SPSS output:
Descriptive Statistics
Dependent Variable: EARNIN04 Total Waoes and Salaries in 2004
 RACE  FEMALE  Mean  Std. Deviation N 1 Hispanic 0 no (male) 41285.9842998.204441 yes (female) 24631.3124530.30236 Total 33791.3836639.39880 2 Black, not Hispanic 0 no (male) 36485.5341976.763531 yes (female) 18507.8219089.53590 Total 25170.8930815.198143 3 White, not Hispanic 0 no (male) 61171.5363147.1533791 yes (female) 26921.9930198.993489 Total 41876.5750405.556868 4 Other, not Hispanic 0 no (male) 37740.0025030.74151 yes (female) 2250.004500.0004 Total 21966.6725898.5529 Total 0 no (male) 56388.8359902.2084811 yes (female) 25405.9528619.045619 Total 38953.9247583.7741100\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
 Source  Type III Sum  of Squares  df  Mean Square  F  Sig.  Corrected Model 3.088E+011374.412E+01022.105.000 Intercept 1.158E+01111.158E+01158.043.000 RACE 4.130E+01031.377E+0106.897.000 FEMALE 2.036E+01012.036E+01010.199.001 RACE =FEMALE 1.203E+010340099531482.009.111 Error 2.180E+01210921995908127 Total 4.158E+0121100 Corrected Total 2.488E+0121099\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= .124 (Adjusted R Squared =.118)= .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.)

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a. yes
b. ...

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