Confidence Interval Estimates-BioW6
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. 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. (Refer to Chapters 7 & 12 in Introductory Statistics with R or pages 111–122 in EXCEL Statistics A Quick Guide). 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 2 pages to discuss and display your findings.
Provide support for your statements with in–text citations from a minimum of four scholarly, peer–reviewed articles. One of these sources may be from the class readings, textbook, or lectures, but the others must be external.
Your paper must have
• Introduction
• involved all the description requirements
• In text citation for each paragraph.
• the date of references must be (recommend that you use more contemporary sources (last 5 years) not from provided materials
• conclusion
Martials:
Sullivan, L. M. (2018). Essentials of biostatistics in public health (3rd ed.). Jones & Bartlett: Boston, MA. ISBN-13:9781284108194
Salkind, N. J. (2016). EXCEL statistics: A quick guide (3rd ed.). Sage.
Dalgaard, P. (2008). Introductory statistics with R (2nd ed.). Springer. ISBN-13: 978-0387790534
Framingham Heart Study Dataset
