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1. Text link: Linear regression - Wikipedia Introduction Extensions Estimation methods Applications Domain: en.m.wikipedia.org Link: https://en.m.wikipedia.org/wiki/Linear_regression Description: The following are the major assumptions made by standard linear regression models with standard estimation techniques (e.g. ordinary least squares ): Weak exogeneity. This essentially means that the predictor variables x can be treated as fixed... Linearity. This means that the mean of the ... |
2. Text link: What is Linear Regression? - Statistics Solutions Domain: statisticssolutions.com Link: https://www.statisticssolutions.com/what-is-linear-regression/ Description: Linear regression is a basic and commonly used type of predictive analysis. The overall idea of regression is to examine two things: (1) does a set of predictor variables do a good job in predicting an outcome (dependent) variable? (2) Which variables in particular are … |
3. Text link: Linear Regression - Yale University Domain: stat.yale.edu Link: http://www.stat.yale.edu/Courses/1997-98/101/linreg.htm Description: Linear Regression Example. The dataset "Televisions, Physicians, and Life Expectancy" contains, among other variables,... Outliers and Influential Observations. After a regression line has been computed for a group... Residuals. Once a regression model has been fit to a group of data,... Lurking ... |
4. Text link: Introduction to Linear Regression - Free Statistics Book Domain: onlinestatbook.com Link: http://onlinestatbook.com/2/regression/intro.html Description: In simple linear regression, we predict scores on one variable from the scores on a second variable. The variable we are predicting is called the criterion variable and is referred to as Y. The variable we are basing our predictions on is called... |
5. Text link: 1.1 - What is Simple Linear Regression? | STAT 501 Domain: newonlinecourses.science.psu.edu Link: https://newonlinecourses.science.psu.edu/stat501/node/251/ Description: Simple linear regression is a statistical method that allows us to summarize and study relationships between two continuous (quantitative) variables: One variable, denoted x, is regarded as the predictor, explanatory, or independent variable. The other variable, denoted y, is regarded as the response, outcome, or dependent variable. |
6. Text link: Lesson 1: Simple Linear Regression | STAT 501 Domain: newonlinecourses.science.psu.edu Link: https://newonlinecourses.science.psu.edu/stat501/node/250/ Description: Simple linear regression is a statistical method that allows us to summarize and study relationships between two continuous (quantitative) variables. This lesson introduces the concept and basic procedures of simple linear regression. We will also learn two measures that describe the strength of the linear association that we find in data. |
7. Text link: Linear Regression — Detailed View – Towards Data Science Domain: towardsdatascience.com Link: https://towardsdatascience.com/linear-regression-detailed-view-ea73175f6e86 Description: Linear regression is used for finding linear relationship between target and one or more predictors. There are two types of linear regression- Simple and Multiple. Simple linear regression is useful for finding relationship between two continuous variables. One is predictor or independent variable and other is response or dependent variable. |
8. Text link: Linear Regression With R - r-statistics.co Domain: r-statistics.co Link: http://r-statistics.co/Linear-Regression.html Description: Linear Regression. Linear regression is used to predict the value of an outcome variable Y based on one or more input predictor variables X. The aim is to establish a linear relationship (a mathematical formula) between the predictor variable(s) and the response variable, so that, we can use this formula to estimate the value of the response Y,... |