gender | gpa | final | total | ||
gender | Pearson Correlation | 1 | .208* | -.140 | -.143 |
Sig. (2-tailed) | .033 | .156 | .145 | ||
N | 105 | 105 | 105 | 105 | |
gpa | Pearson Correlation | .208* | 1 | .223* | .199* |
Sig. (2-tailed) | .033 | .022 | .041 | ||
N | 105 | 105 | 105 | 105 | |
final | Pearson Correlation | -.140 | .223* | 1 | .881** |
Sig. (2-tailed) | .156 | .022 | .000 | ||
N | 105 | 105 | 105 | 105 | |
total | Pearson Correlation | -.143 | .199* | .881** | 1 |
Sig. (2-tailed) | .145 | .041 | .000 | ||
N | 105 | 105 | 105 | 105 |
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.
Among the correlation values for the given variables, the absolute correlation between the "final" and "Total" has the highest magnitude with value 0.881. Hence, the highest magnitude correlation in the intercorrelation matrix happens between the "final" and "Total" variables with N-2=105-2=103 degrees of freedom, correlation coefficient=0.881, p-value=0.000. The correlation coefficient values fall in the range of 0.5 to 1.0. So, the strength of association is Large. The p-value is less than 0.05 level of significance. Hence, we reject the null hypothesis that the population correlation value equal to zero at the 0.05 level of significance.
Get Answers For Free
Most questions answered within 1 hours.