Туре II Sum of Squares Source df Mean Square F Sig. Corrected Model 94.600 5 18.920 3.519 .007 Intercept 1144.438 1 1144.438 212.874 .000 Gender 0.428 1 0.428 0.080 .779 Education Level 49.679 24.840...




FACTORIAL ANOVA, PART 1 of 4. What is your dependent variable? What are your independent variables? A researcher was attempting to determine whether or not gender and education level would have an effect on yearly income. After interviewing 76 employees within their county, they were able to get the following statistical output. What is your dependent variable? What are your independent variables?




Туре II Sum of<br>Squares<br>Source<br>df<br>Mean Square<br>F<br>Sig.<br>Corrected Model<br>94.600<br>5<br>18.920<br>3.519<br>.007<br>Intercept<br>1144.438<br>1<br>1144.438<br>212.874<br>.000<br>Gender<br>0.428<br>1<br>0.428<br>0.080<br>.779<br>Education Level<br>49.679<br>24.840<br>4.620<br>.013<br>Gender * Education<br>33.904<br>16.952<br>3.153<br>.049<br>Level<br>Error<br>376.329<br>70<br>5.376<br>Total<br>1654.350<br>76<br>Corrected Total<br>470.929<br>75<br>2.<br>2.<br>

Extracted text: Туре II Sum of Squares Source df Mean Square F Sig. Corrected Model 94.600 5 18.920 3.519 .007 Intercept 1144.438 1 1144.438 212.874 .000 Gender 0.428 1 0.428 0.080 .779 Education Level 49.679 24.840 4.620 .013 Gender * Education 33.904 16.952 3.153 .049 Level Error 376.329 70 5.376 Total 1654.350 76 Corrected Total 470.929 75 2. 2.

Jun 05, 2022
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