In Step 3:

• Paste the SPSS output of the intercorrelation matrix for all specified variables:
  • 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.
• Interpret statistical results against the null hypothesis, and state whether it is accepted or rejected.

Step 4: Statistical Conclusions

In Step 4:

• Provide a brief summary of your analysis and the conclusions drawn.
• Analyze the limitations of the statistical test.
• Provide any possible alternate explanations for the findings and potential areas for future exploration.

Step 5: Application

In Step 5:

• Analyze how you might use correlations in your field of study.
• Name an independent variable and dependent variable that would work for such an analysis and why studying it may be important to the field or practice.

Correlations gpa quiz1 final total gpa Pearson .152 379** .318* Correlation Sig. (2-tailed) 121 000 001 N 105 105 105 105 quizl Pearson .152 1 .499*+ .797 Correlation Sig. (2-tailed) 121 000 .000 N 105 105 105 105 final Pearson .379* 499* .875* Correlation Sig. (2-tailed) .000 000 .000 N 105 105 105 105 total Pearson 318* .797" 875** 1 Correlation Sig. (2-tailed) .001 .000 .000 N 105 105 105 105 * Correlation is significant at the 0.01 level (2-tailed). The lowest magnitude of correlation in the chart above would be