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ANOVA Multivariable Linear Regression Analysis using BMI as a Continuous Variable

by | Aug 2, 2024 | NURSING | 0 comments

by | Aug 2, 2024 | NURSING | 0 comments

ANOVA Multivariable Linear Regression Analysis using BMI as a Continuous Variable

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)

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 statistics A quick guide T.Test). Conduct the simple linear regression (ANOVA) by using the Excel Regression tool in the Data Analysis Toolpak.

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