Question: Model Summary Adjusted R Std. Error of Durbin- Model R R Square Square the Estimate Watson 809a 654 .636 4.844 2.003 a. Predictors: (Constant), Outcome

 Model Summary Adjusted R Std. Error of Durbin- Model R RSquare Square the Estimate Watson 809a 654 .636 4.844 2.003 a. Predictors:

(Constant), Outcome of social support test, Outcome of IQ test, Outcome ofjob motivation test b. Dependent Variable: Outcome of job performance test ANOVAb

Model Summary Adjusted R Std. Error of Durbin- Model R R Square Square the Estimate Watson 809a 654 .636 4.844 2.003 a. Predictors: (Constant), Outcome of social support test, Outcome of IQ test, Outcome of job motivation test b. Dependent Variable: Outcome of job performance test ANOVAb Sum of Model Squares df Mean Square F Sig Regression 2488.395 3 829.465 35.356 000a Residual 1313.788 56 23.461 Total 3802.183 59 a. Predictors: (Constant), Outcome of social support test, Outcome of IQ test, Outcome of job motivation test b. Dependent Variable: Outcome of job performance test Coefficientsa Standardiz Unstandardized ed Collinearity Coefficients Coefficients Statistics Toleranc Model B Std. Error Beta Sig e VIF (Constant) 18.131 6.346 2.857 006 Outcome of IQ test .265 044 472 5.965 000 .984 1.016 Outcome of job .308 050 .522 6.163 000 861 1.161 motivation test Outcome of social .164 056 .251 2.953 005 .856 1.168 support testModel Summaryb Adjusted R Std. Error of Durbin- Model R R Square Square the Estimate Watson 80ga 654 636 4.844 2.003 a. Dependent Variable: Outcome of job performance test Collinearity Diagnosticsa Variance Proportions Outcome of job Outcome of Eigenvalu Condition (Constant Outcome of motivation social Model Dimension e Index IQ test test support test 1 W N - 3.940 1.000 00 .00 .00 00 .031 11.298 03 .25 .35 .13 023 13.209 00 02 64 64 007 24.437 97 73 01 .22 a. Dependent Variable: Outcome of job performance test

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