Using the Framingham Heart Study dataset provided, perform the ANOVA multivariab

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. (Refer to Chapters 7 & 12 in Introductory Statistics with R orpages 111-122 in EXCEL statistics A quick guide T.Test). 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 2-3 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. The Saudi Digital Library is a good place to find these sources and should be your primary resource for conducting research. Follow APA 7th edition and Saudi Electronic University writing standards. Review the grading rubric to see how you will be graded for this assignment. You are strongly encouraged to submit all assignments to the Originality Check prior to submitting them to your instructor for grading.