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Correlation and Linear Regression mind maps

330 mind maps by 287 users · Page 1 of 9

This page gathers Correlation and Linear Regression mind maps on topics from correlation and regression to assumptions and measures of fit. It is for university students and professional candidates practising these topics, and teachers looking for ready-made material; a few resources also suit school students. There are over 320 mind maps made by more than 280 users. Choose a map to get started.

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Mind maps

More Correlation and Linear Regression resources

About correlation and linear regression mind maps

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Correlation and Linear Regression mind maps

These user-made maps offer different routes through the unit. Regression introduces a straight-line relationship between variables and describes correlation as a measure of its strength. Start there if you want to see both ideas together before focusing on a particular model.

The first Linear Regression map lists assumptions, while another map with the same title covers slope, intercept and measures of fit. Multiple Linear Regression sets out a model with several explanatory variables. For a closer look at model assumptions, Heteroskedasticity outlines consequences for OLS.

Using the maps to revise

Follow the branches of a map and try explaining how its ideas connect. Compare the two Linear Regression maps when you are ready to move between assumptions and model measures. If you want to check your understanding, switch to a quiz on the unit page; flashcards can help with shorter review sessions.

Pick a map and follow a branch that interests you.

Frequently asked questions

Which mind map is a useful starting point?

Regression is a useful place to start because it brings correlation and linear regression together. It describes correlation in terms of the strength of a relationship and introduces a straight-line relationship between variables. You can then move to a Linear Regression map for assumptions or model measures.

What topics do the mind maps cover?

The maps cover correlation, linear regression and multiple linear regression, among other topics. One Linear Regression map lists assumptions, while another includes slope, intercept and measures of fit. Heteroskedasticity looks at consequences for OLS, and Odds Ratio describes its use in analysing case-control study data.

Are these mind maps free to use?

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

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