# Linear regression

## Collection by Elaine TheDataGal

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Okay, so if you let the toaster cool down in between rounds, it is (more or less) linear. (Contra Dave’s experiment.) Meyer â€” Toaster Regression from Dan Meyer on Vimeo. Here, also, is an a…

Such a fun activity to practice working with functions for my Algebra students! I love that it includes Linear Functions, Direct Variations, Quadratic Functions, & Exponential Functions. This would make great test prep material!

Linear Regression predict scores on one variable from second variable Linear Regression predicting variable is criterion variable Linear Regression predicting variable is referred to as Y Linear Regression base variable is predictor variable Linear Regression base variable is referred to as X Linear Regression types simple regression - single independent variable Linear Regression types multiple regression – two or more independent variable Linear Regression consists of finding best-fitt

Should you use linear or logistic regression? In what contexts? There are hundreds of types of regressions. Here is an overview for data scientists and other a…

Linear models are a very simple statistical techniques and is often (if not always) a useful start for more complex analysis. It is however not so straightforward to understand what the regression …

This interactive tool enables students to explore regression lines and residual plots.

A good data set to explore linear regression is analyzing the relationship between the number of spaces a property is from GO and the cost of that property (on a classic Monopoly board). This is actually a TI-Nspire activity which can be found on their website.I don't like their set up for three rea...

Generalized Linear Models (GLMs) extend the ordinary Linear Regression and allow the response variable y to have an error distribution other than the normal

A 5 Step Checklist for Multiple Linear Regression Multiple regression analysis is an extension of simple linear regression. It’s useful for describing and making predictions based on linear relationships between predictor variables (ie; independent variables) and

Regression analysis: in statistics, a statistical process for estimating the relationships among variables; focus is on the relationship between a dependent variable and an independent variable; linear regression models are often fitted using the least squares approach, but they may be fitted in other ways, such as minimizing the lack of fit

Logistic Regression Modelling using R

Anscombe's quartet: to demonstrate both the importance of graphing data before analyzing it and the effect of outliers on statistical properties

A 5 Step Checklist for Multiple Linear Regression Multiple regression analysis is an extension of simple linear regression. It’s useful for describing and making predictions based on linear relationships between predictor variables (ie; independent variables) and

How to perform a simple linear regression analysis using SPSS Statistics. It explains when you should use this test, how to test assumptions, and a step-by-step guide with screenshots using a relevant example.