Use of this feed is for personal non-commercial use only. Using the Framingham Heart Study dataset provided, perform the ANOVA multivariable linear regression analysis using BMI as a continuous variable. click order now and get up to 40% Discount” Please contact me at this question part of your assignment? We will write the assignment for you. If you are not reading this article in your feed reader, then the site is guilty of copyright infringement. “Looking for a Similar Assignment? Get Expert Help at an Amazing Discount!” Two of these sources may be from the class readings, textbook, or lectures, but others must be external. Provide support for your statements with in-text citations from a minimum of four scholarly, peer-reviewed articles. Your submission should be 4 pages to discuss and display your findings.Your paper must include a title page, an introduction, a discussion where you interpret the meaning of the ANOVA test, and a conclusion. Present your findings in a Word document by copying and pasting the ANOVA table into the document.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 deviation. RStudio instructions: Exclude participants with missing data on analysis variables (age, sex, systolic blood pressure, total serum cholesterol, current smoker, and diabetes = cleaning the data). Remember SEX is coded 1=male and 2=female. Įxcel instructions: Exclude participants with missing data on analysis variables (age, sex, systolic blood pressure, total serum cholesterol, current smoker, and diabetes = cleaning the data).Ĭonduct the simple linear regression (ANOVA) by using the Excel Regression tool in the Data Analysis Toolpak. 207-209) in Introductory Statistics with R or pages 111-122 in EXCEL Statistics: A Quick Guide). (Alternative Hypothesis) Upload the Framingham Heart Study dataset into R Studio. (Null Hypothesis) H1 The BMI is related to the patient characteristics in the Framingham Heart Study. 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. Then describe how each characteristic is related to BMI. If participants are excluded due to missing data, the numbers excluded should be reported. Before conducting the analysis, be sure that all participants have complete data on all analysis variables.
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