CT-M6

CT-M6

· Using the  Framingham Heart Study dataset  ( See Excel Sheet ) provided, perform the ANOVA multivariable linear regression analysis using BMI as a continuous variable. Before conducting the analysis, be sure that all participants have complete data on all analysis variables.

· Describe how each characteristic is related to BMI. Are crude and multivariable effects similar? What might explain or account for any differences?

· H0 The BMI is not related to the patient characteristics in the Framingham Heart Study. (Null Hypothesis)

· H1 The BMI is related to the patient characteristics in the Framingham Heart Study. (Alternative Hypothesis)

· Upload both Excel sheet into R Studio. Exclude participants with missing data on analysis variables (age, sex, systolic blood pressure, total serum cholesterol, current smoker, and diabetes = cleaning the data). Conduct the simple linear regression (ANOVA) by using the Excel Regression tool in the Data Analysis Toolpak.

· Remember SEX is coded 1=male and 2=female.

· Present your findings in a Word document by copying and pasting the ANOVA table into the document. Your paper must be written with a title page, an introduction, a discussion where you interpret the meaning of the ANOVA test, and a conclusion should be included. Your submission should be 3 – 4 pages to discuss and display your findings.

· Provide support for your statements with in–text citations from a minimum of two scholarly, peer–reviewed articles. One of these sources may be from the class readings, textbook, or lectures, but the others must be external.

· Follow APA writing standards.