Rachel’s Portfolio

Project 1: Systolic Blood Pressure

• Imported datasets, identified relevant variables, and performed linear regression to predict the combined systolic blood pressure reading
• Completed a predictive data analysis using model diagnostics, shrinkage methods, model validation, various model selection techniques, and prediction error tests
• Visualized data to draw conclusions and relationships

Project 2: Coffee Consumption and Sudoku Puzzles

• Conducted a homemade factorial experiment to study the relationship between coffee consumption and the ability to solve sudoku puzzles
• Performed data analysis and data visualization, and successfully found the interaction effects between the selected variables by using a linear model