1. The authors report a Pearson correlation of 0.556 between the average counter

Question

1.       The authors report a Pearson correlation of 0.556 between the average countermovement jump and the average serum cortisol over the 39 weeks and indicate that it is significantly different from 0 with p<0.001. Use your software to perform this test. Report your hypotheses, the value of your test statistic, the number of degrees of freedom, and the p-value. Draw a conclusion in the context of the study.

16. Why do you think the authors only reported correlation and did not use regression analysis?

Explanation / Answer

Question 1 st is concomplete.

16.

Because here correlation and linear regression analysis are statistical techniques to quantify associations between an independent, sometimes called a predictor, variable (X) and a continuous dependent outcome variable (Y). For correlation analysis, the independent variable (X) can be continuous (e.g., gestational age) or ordinal (e.g., increasing categories of cigarettes per day). Regression analysis can also accommodate dichotomous independent variables.

The procedures described here assume that the association between the independent and dependent variables is linear. With some adjustments, regression analysis can also be used to estimate associations that follow another functional form (e.g., curvilinear, quadratic). Here we consider associations between one independent variable and one continuous dependent variable.

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