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.Describe how each characteristic is related to BMI.Discuss the alpha, p-value, and F statistics and what you notice about their significance levels.Discuss any differences that you notice concerning the significance of any of the independent variables.H0 The BMI is not related to the patient characteristics of Glucose, Angina, Stroke, CVD, and Hypertension in the Framingham Heart Study. (Null Hypothesis)H1 The BMI is related to the patient characteristics of Glucose, Angina, Stroke, CVD, and Hypertension in the Framingham Heart Study. (Alternative Hypothesis)Upload both Excel sheets into RStudio if you are using RStudio to analyze the dataset. Conduct the simple linear regression (ANOVA) by using the Excel Regression tool in the Data Analysis Toolpak.Ensure to submit the following requirements for the assignment: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 three scholarly, peer-reviewed articles. Follow APA 7th edition writing standards.
