Correlation is significant at the 0.05 level.

Correlation is significant at the 0.01 level.

? All specified variables: gender, gpa, final, and total. Use the 4 variables in a matrix here!

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. In the matrix, which correlation is the lowest in magnitude? It would be between two variables. Remember, lowest means closest to 0!

? 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. Which correlation is highest? Highest is closest to + or ? 1!!

? 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. For all three, effect size is r squared, but you knew that right?

gender gpa final total Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Correlations gender 1 105 -.194* .048 105 -.140 .156 105 -.120 .224 105 gpa -.194* .048 105 1 105 .498" .000 105 .432" .000 105 final -.140 .156 105 .498** .000 105 1 105 .883" .000 105 total -.120 .224 105 .432" .000 105 .883" .000 105 1 105