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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)
Date Posted: 25/04/2026
Category: Health Care
Due Date: 28/04/2026
Willing to Pay: $20.00
Due Date: 28/04/2026
Willing to Pay: $20.00
Instruction
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 3 scholarly, peer-reviewed articles. Follow APA 7th edition Plagiarism should be below 25%. 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
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