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Correlation and Linear Regression notes

15 notes by 13 users

This page gathers over 10 user-made notes on Correlation and Linear Regression, from associations between variables to prediction and Spearman’s rank. They are mainly at university level, for university students and professional candidates reviewing these topics and teachers looking for ready-made material, with a few notes for school students. Pick a note to begin.

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More Correlation and Linear Regression resources

About correlation and linear regression notes

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What the correlation and linear regression notes cover

These notes approach the unit from several angles. Complex Correlations introduces relationships between variables, while Correlation and Causation distinguishes a relationship from a cause. Variables and associations covers variable types and ways to describe associations. Other notes address prediction, regression and Spearman’s rank.

Using the notes to revise

Start with Complex Correlations if you want an introduction to relationships between variables. For a closer look at prediction, read Predictions alongside Regression Analysis. The notes on Spearman’s rank include a method for organising a calculation by hand.

As you read, write down the terms or steps you want to revisit. Compare notes on related ideas to see how different users explain them. If you want a visual overview, switch to a mind map on the unit page; use a quiz there when you want to practise questions. Choose a topic and explore the notes that cover it.

Frequently asked questions

Which note is a useful starting point?

Complex Correlations is a useful place to begin with relationships between variables. It introduces correlation and the range of its values. If you are focusing on prediction instead, Predictions discusses the roles of independent and dependent variables and introduces a regression model.

Do the notes include Spearman’s rank?

Yes. The page includes notes on Spearman’s rank with a method for calculating the coefficient by hand. They describe setting up a data table to organise the calculation. You can also find notes on other aspects of association, including variable types and correlation.

Are these notes free to use?

Yes. Every resource listed here is free to open and study without an account. The notes were made by GoConqr users, so their approaches can differ. A free account also lets you save quiz scores and make your own quizzes, mind maps, flashcards and notes.

Which levels do these notes suit?

Most of the notes are at university level, with a smaller selection for school students. University students and professional candidates can use them to review topics such as association and prediction. Unit 8 Overview also mentions AP Statistics readings and terms.

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