1. What is the main goal of the unit's overall approach to statistical analysis?
2. Which statement best describes how the unit's lectures are delivered and accessed later?
3. Which assessment is a compulsory on-campus task worth 20% of the final unit mark?
Unit goals — main aim?
Framework for statistical analyses using GLM.
Assessment tasks — components?
Data-analysis task, practical project, final exam.
Regression — definition?
Predicts a numeric outcome y from predictors x.
Residual — what?
Difference between observed y and predicted $\hat{y}\
R2 — meaning?
Proportion of y variance explained by the model.
Simple linear regression — equation?
$\hat{y} = ext{intercept} + ext{slope} imes x$.
It covers the core concepts of Regression Analysis Fundamentals, organized by topic with the key definitions, explanations and takeaways, so it's easier to learn and remember.
Read the full study guide →The practice quiz has 20 multiple-choice questions, each with an explanation. Use it to check what you know and find your gaps.
Take the quiz (20 questions) →There are 20 flashcards on Regression Analysis Fundamentals, with a question on the front and the answer on the back. Try to recall each answer before you flip, and let spaced repetition bring back the ones you miss.
See all 20 flashcards →Upload a PDF or paste your notes. Revizly writes a study guide, a practice quiz and flashcards in about a minute.