STATISTICS ASSIGNMENT

Due to the current increase of diabetes in children, studying factors that affect its occurrence and evolution is very important. Obesity is one of the key factors affecting childhood diabetes and health practitioners frequently use the Body Mass Index (B.M.I.) to assess whether or not a child is obese. In the attached Excel document, you will find data on the B.M.I., Fasting Blood Sugar Levels (F.B.S.), gender (Male or Female), and the clinic where this information was collected (clinic A, B, or C) for a group of children age 10-14. The purpose of your study is to analyze any possible relationships among the given variables. There are three tabs at the bottom of the Excel file which represent different data set pages: “All Variables”, “B.M.I. of Boys and Girls”, and “F.B.S. by Clinic”. The “All Variables” page is formatted the way you would typically see this data displayed in current data analysis. The first column represents the subject’s I.D. number, the second column denotes gender (M/F), the third is B.M.I., and the last is their F.B.S level. Each row corresponds to a child in the dataset, with his/her corresponding characteristics. For example, the study participant with the I.D. number 10 is a boy (Gender=M), who was assessed at clinic B, has a B.M.I. of 28 and an F.B.S. of 92. Any statistical analyses needed for this paper, including the corresponding Excel steps and procedures, are explained in your course text with the exception of providing descriptive statistics (frequencies) for nominal variables. Descriptive statistics procedures for continuous variables are included in Chapter 1 of your course text. Instructions and information on descriptive statistics (frequencies) for nominal variables are provided in the How to make a frequency distribution table for nominal data in Excel resource

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This is the actual assignment, the above is additional info!

Review the instructions for your Final Paper in Week Five of your course or the “Components of Course Evaluation” section of the course guide. For this week’s assignment, utilize the following Excel data, which contains Body Mass Index (B.M.I.), Fasting Blood Sugar Levels (F.B.S.), gender, and clinic information for a group of children ages 10-14, to complete items four and five of your Final Paper:

· Correlate F.B.S. with B.M.I. What correlation coefficient will you use? Why? Report the correlation coefficient and explain whether this is a statistically significant correlation. Explain what it means for two variables to have a statistically significant correlation. The steps for running a correlation in Excel are described in Section 8.4 of your course text.

· Run a simple linear regression predicting F.B.S. from B.M.I. Report your results. Does F.B.S. increase or decrease with B.M.I.? What components of the output do you read and interpret to answer this question? Write the regression equation and include it in your paper. The steps for running a linear regression in Excel are described in Section 9.3 of your course text.

Your paper should be formatted according to APA style as outlined in the Ashford Writing Center. It must be a minimum of two pages and include graphs, tables, and outputs that are clearly titled and explained. Since this assignment will be used as part of your Final Paper, it is expected that any feedback provided by your instructor regarding this assignment will be incorporated into your Final Paper submission.