Correlation & Regression Lab
Applied Biostatistics & Data Analytics for Pharmaceutical Sciences (BP201T) · Semester 2 · Unit 4: Basics of Correlation & Regression
Adjust fictional dose-response patterns, inspect Pearson r and trend language, and retain the no-causality boundary.
What this unit covers
Interpret Pearson correlation, positive and negative association, scatter plots, simple linear-regression coefficients, and odds-ratio vocabulary in fictional pharmaceutical datasets. Association alone does not establish cause or clinical risk.
Apply it
Explain why a visible dose-response association may still reflect study design, confounding, or uncertainty rather than a causal mechanism.
How this lab works
A visible browser-native teaching interaction updates illustrative states, scores, or visual summaries from authored values.
Data used
Fictional or browser-generated teaching inputs; no patient, proprietary manufacturing, or clinical-record data.
Limits
Educational simulation only. Outputs are not clinical advice, patient-specific predictions, release specifications, regulatory decisions, or professional competency evidence.