Correlation and Regression Analysis of Magnesium Uptake Data Set

This assignment focuses on analyzing magnesium uptake data using correlation and regression techniques. It involves fitting a quadratic regression model to the data, incorporating an indicator variable for different treatments. The solution includes constructing design matrices, performing hypothesis tests to determine the appropriateness of the indicator variable, and utilizing both T2 tests and full/reduced model comparisons. The analysis is conducted using R, with detailed code and outputs provided for each step, from data loading and manipulation to model fitting and evaluation. The assignment addresses the problem of whether different treatments significantly affect magnesium uptake over time, providing a comprehensive statistical analysis to answer the research question. Desklib provides students access to this solution and many other resources.