How many original correlations are present on the matrix

Reference no: EM133613714

Homework: 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 Homework, 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.

To Prepare:

1. Review the Correlations Exercises SPSS Output provided in this Learning Resources.
2. Review the Learning Resources on how to interpret correlation results to determine the relationship between variables.
3. Consider the results presented in the SPSS output and reflect on how you might interpret the results presented.

Task: (2 to 3 Pages)

Answer the following questions using the Correlations Exercises SPSS Output provided in this Learning Resources.

Question I. What is the strongest correlation in the matrix? (Provide the correlation value and the names of variables)

Question II. What is the weakest correlation in the matrix? (Provide the correlation value and the names of variables)

Question III. How many original correlations are present on the matrix?

Question IV. What does the entry of 1.00 indicate on the diagonal of the matrix?

Question V. Indicate the strength and direction of the relationship between body mass index (BMI) and physical health component subscale.

Question VI. Which variable is most strongly correlated with BMI? What is the correlational coefficient? What is the sample size for this relationship?

Question VII. What is the mean and standard deviation for BMI and doctor visits?

Question VIII. What is the mean and standard deviation for weight and BMI?

Question IX. Describe the strength and direction of the relationship between weight and BMI.

Question X. Describe the scatterplot. What information does it provide to a researcher?

Reference no: EM133613714

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