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Correlations gender gpa final total gender Pearson 1 -194 -.140 -.120 Correlation Sig. (2- .048 .156 .224 tailed) N 105 105 105 105 gpa Pearson -194 1 .498" .432" Correlation Sig. (2- .048 .000 .000 tailed) N 105 105 105 105 final Pearson -.140 .498" 1 .883" Correlation Sig. (2- .156 .000 .000 tailed) N 105 105 105 105 total Pearson -.120 .432" .883" 1 Correlation Sig. (2- .224 .000 .000 tailed) N 105 105 105 105 . Correlation is significant at the 0.05 level (2-tailed). **. Correlation is significant at the 0.01 level (2-tailed). First, report the lowest magnitude correlation in the intercorrelation matrix, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Specify whether or not to reject the null hypothesis for this correlation. Second, report the highest magnitude correlation in the intercorrelation matrix, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Specify whether or not to reject the null hypothesis for this correlation. Third, report the correlation between gpa and final, including degrees of freedom, correlation coefficient, P value, and effect size. Interpret the effect size. Analyze the correlation in terms of the null hypothesis

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