anova multivariable linear regression analysis

 

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 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 sheet into R Studio. (Refer to Chapters 7 & 12 in Introductory Statistics with R or pages 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.

Remember SEX is coded 1=male and 2=female.

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