Instructions For this discussion, refer to the helpful links in Resources and use the Alaska studys Emotional Well-Being Corrected data set to perform the following analyses for only three variables that have interval/ratio data: Age, BMI and Baseline SF-36 Scores: Pearson Correlation 1. Assess the selected variables for outliers and normal distribution and report which type of statistical correlation testing would be the most appropriate. 2. Create a scatterplot for each selected combination of the above variables to identity the graphic nature of the relationship. 3. Perform a Pearson Correlation test on the following, regardless of whether the data distribution looks normal: relationship between Age and BMI, then relationship between BMI and Baseline SF-36 scores. 4. Report the results as the magnitude of the relationship (correlation coefficient) and direction of the relationship (positive or negative). Spearman Correlation 1. Perform a Spearman Correlation test regardless of whether the data distribution looks normal for the same two-variable combinations. 2. Report the results. Comparison 1. Explain the differences between the Pearson Correlation and the Spearman Correlation, including when to use each test, advantages, and disadvantages of each. 2. Describe one or two of the challenges you found while performing these exercises and how you resolved the issues. Where appropriate, provide the address of any website that helped you.
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