NURS 8201 Week 6 Assignment: Correlations

Is there a connection between caffeine and headaches? Is there an association between hospital wait times and patient care? Is there a relationship between antibiotic use and weight gain?

Correlation statistics all begin with a research question, and these research questions all seek to determine relationships between variables. Correlational analysis clarifies relationships, but there are many ways to formulate a correlation. Therefore, the strength of a correlation relies on the variables used and the interpretation of the results that may signify a statistically relevant association or relationship.

For this Assignment, you will examine how to interpret results obtained through a correlational analysis. You will evaluate the correlation results provided in the Week 6 Correlations Exercises SPSS output and will reflect  on the meaning of the results for the variables examined.

The Assignment: (2–3 pages)

Answer the following questions using the Week 6 Correlations Exercises SPSS Output provided in this week’s Learning Resources.

1. What is the strongest correlation in the matrix? (Provide the correlation value and the names of variables)
2. What is the weakest correlation in the matrix? (Provide the correlation value and the names of variables)
3. How many original correlations are present on the matrix?
4. What does the entry of 1.00 indicate on the diagonal of the matrix?
5. Indicate the strength and direction of the relationship between body mass index (BMI) and physical health component subscale.
6. Which variable is most strongly correlated with BMI? What is the correlational coefficient? What is the sample size for this relationship?
7. What is the mean and standard deviation for BMI and doctor visits?
8. What is the mean and standard deviation for weight and BMI?
9. Describe the strength and direction of the relationship between weight and BMI.
10. Describe the scatterplot. What information does it provide to a researcher?

SOLUTION NURS 8201 Week 6 Assignment: Correlations

Correlations

Correlation analysis is a statistical technique used in the determination of how strong the relationship between two quantitative variables is and whether it is positive or negative. It measures how changes in one variable are associated with changes in another variable. Correlation measures the degree to which variables co-vary, offering valuable insights into potential causal relationships or shared influences. Correlations find applications across diverse fields, aiding in predictive modeling, hypothesis testing, and risk assessment (Trautner et al., 2020)….

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