This document represents a completed lab assignment (Lab #12) for Biostatistics (BIOL 3000) at California State University, Los Angeles, authored by Allison Gutierrez. It demonstrates practical application of statistical methods using the R programming language.
This assignment is intended for students enrolled in the course who need to submit their work for evaluation. It’s completed during the lab portion of the course, applying concepts learned in lecture to real-world data analysis. It serves as proof of competency in using R for biostatistical analysis.
This completed assignment *does not* provide instruction on how to perform the analyses. It *does not* offer explanations of the underlying statistical principles. Students will still need to understand the concepts and be able to replicate the work independently.
This document includes: R commands and their corresponding outputs for data import, scatter plot creation, linear regression modeling, residual analysis (including plots), and the application of the regression line to a scatter plot. It also includes the student’s conclusions regarding the statistical significance of the model and the interpretation of the results for two datasets: photosynthesis rates based on light intensity and spousal heights. The full document contains the complete R code, plots, and written responses to each problem. This preview only shows the structure and types of analyses performed.