Description

Using the Framingham Heart Study dataset provided, perform the ANOVA mul variable linear regression analysis using BMI as a con nuous variable. Before conduc ng the analysis, be sure that all par cipants have complete data on all analysis variables. If par cipants are excluded due to missing data, the numbers excluded should be reported. Then describe how each characteris c is related to BMI. Are crude and mul variable e ects similar? What might explain or account for any di erences?
H0 The BMI is not related to the pa ent characteris cs in the Framingham Heart Study. (Null Hypothesis)
H1 The BMI is related to the pa ent characteris cs in the Framingham Heart Study. (Alterna ve Hypothesis)
Upload the Framingham Heart Study dataset into R Studio. (Refer to Chapters 7 (pp. 127-141) & 12 (pp. 207-209) in Introductory Sta s cs with R or pages 111-122 in EXCEL Sta s cs: A Quick Guide).
Exclude par cipants 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 instruc ons:
Exclude par cipants 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 devia on.
Present your ndings in a Word document by copying and pas ng the ANOVA table into the document. Your paper must include a tle page, an introduc on, a discussion where you interpret the meaning of the ANOVA test, and a conclusion. Your submission should be 3-4 pages to discuss and display your ndings.
Provide support for your statements with in-text cita ons from a minimum of four scholarly, peer- reviewed ar cles. 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 nd these sources and should be your primary resource for conduc ng research.
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