ÀNOVA Analysis

Description Using the Framingham Heart Study dataset 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. If participants are excluded due to missing data, the numbers excluded should be reported.

Then 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) Excel instructions:

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. RStudio instructions:

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 RStudio you will use the t.test () command and the summary () command to get your mean and standard deviation. Present your findings in a Word document by copying and pasting the ANOVA table into the document.

Your paper must include a title page, an introduction, a discussion where you interpret the meaning of the ANOVA test, and a conclusion.

Your submission should be 5 pages to discuss and display your findings. Provide support for your statements with in-text citations from a minimum of seven scholarly, peer-reviewed articles.

Two of these sources may be from the class readings, textbook, or lectures, but the others must be external. The Saudi Digital Library is a good place to find these sources and should be your primary resource for conducting research.