### Toaster Regression, Ctd.

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…

### Types of Functions - Linear, Quadratic, & Exponential

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

### 10 types of regressions. Which one to use?

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…

### Interpreting regression coefficient in R

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 …

### Interactivate: Regression

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

### Monopoly and Line of Best Fit

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...

### Linear Regression vs Logistic Regression vs Poisson Regression

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

### Checklist for Multiple Linear Regression

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

Logistic Regression is a classification algorithm. It is used to predict a binary outcome (1 / 0, Yes / No, True / False) given a set of independent variables. To represent the binary/categorical outcome, we use dummy variables.

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

### Introduction to linear regression analysis

### Checklist for Multiple Linear Regression

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

### Linear Regression Analysis in SPSS Statistics - Procedure, assumptions and reporting the output.

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.