Executive Solution Overview
## How to Test the Strength of a Relationship Between Continuous Variables ## **Preparation** For this exercise, you will be using the data sets described throughout Chapter 10 in your _Statistics for the Health Sciences_ text. ### **Download Data Files** – Download the [Data Files for Chapter 10 […
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## How to Test the Strength of a Relationship Between Continuous Variables
## **Preparation**
For this exercise, you will be using the data sets described throughout Chapter 10 in your _Statistics for the Health Sciences_ text.
### **Download Data Files**
– Download the [Data Files for Chapter 10 [ZIP]](https://courseroom.capella.edu/courses/50611/files/9838118/download).
– Select the appropriate data sets for each statistical test you need to perform. Please take some time to explore each data set to see how it was constructed.
### **Complete Exercises**
Use this week's readings and multimedia resources to complete the following:
– Pearson correlation test **and** scatterplot for data from the Total Support and Happiness study.
– Spearman's correlation test for memory and stress variables from the Memory and Medication study.
**Note:** Partial correlation testing should be understood, but no exercise is required.
## **File Submissions**
– For each exercise, upload the .jasp file with the correct analyses and output saved.
– Upload a separate Word document that includes appropriate graphics or tables copied from the output and pasted into the Word document. Interpret and report the test results in properly formatted APA style.
## **Discussion Post**
Use this week's readings and your own personal research to complete the following:
– Describe how the media and the public commonly misuse or misunderstand the correlation coefficient ( _r_).
– Describe the meaning and importance of _r_-squared to a public health professional.
– Describe one or two of the challenges, knowledge gaps, or unanswered questions you found while completing these exercises.
– Finally, cite, in APA format, at least one non-Capella resource (for example, a YouTube video, website, or article) that you found useful for this topic.
## **Response Guidelines**
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