What This Document Is
This document is a graded assignment for students enrolled in BST 322, Introduction to Biomedical Statistics, at National University. It focuses on applying concepts related to correlation, regression, and statistical analysis using data sets. The assignment is designed for Week 4 of the course.
Why This Document Matters
This assignment is crucial for students to demonstrate their understanding of how to interpret and calculate correlation coefficients and coefficients of determination. It also requires practical application of simple linear regression, including calculating regression equations and making predictions based on those equations. Students will utilize statistical software (StatCrunch) to analyze real-world data. Successful completion contributes to the overall course grade.
Common Limitations or Challenges
This assignment requires prior knowledge of statistical concepts covered in earlier weeks of the course. It assumes familiarity with using StatCrunch for data analysis. The assignment focuses on *applying* these concepts, not learning them from scratch.
What This Document Provides
The full assignment includes four practice problems involving calculating variance shared between variables, determining correlation coefficients from coefficients of determination, and solving for intercept constants in regression equations. It also includes a data analysis exercise using the “Fellows Mental Health Data” dataset, requiring students to perform correlation and regression analyses in StatCrunch, and interpret the results. A second data analysis problem uses data related to cholesterol levels and drug dosage. The assignment provides the StatCrunch output for some analyses as a starting point. This preview does *not* include the solutions to the problems, the complete StatCrunch output, or the “Fellows Mental Health Data” file itself.
