A technique in which a straight line is fitted to a set of data points to measure the effect of a single independent variable. The slope of the line is the measured impact of that variable.
Related information about linear regression:
- Linear regression - Wikipedia, the free encyclopedia
In statistics, linear regression is an approach to modeling the relationship between a scalar dependent variable y and one or more explanatory variables ...
- Simple linear regression - Wikipedia, the free encyclopedia
In statistics, simple linear regression is the least squares estimator of a linear regression model with a single explanatory variable. In other words, simple linear ...
- Linear Regression
A linear regression line has an equation of the form Y = a + bX, where X is the explanatory variable and Y is the dependent variable. The slope of the line is b, ...
- Graphing With Excel - Linear Regression
Create an initial scatter plot; Creating a linear regression line (trendline); Using the regression equation to calculate slope and intercept; Using the R-squared ...
- Linear Regression -- from Wolfram MathWorld
The most common form of linear regression is least squares fitting. Least squares fitting of lines and polynomials are both forms of linear regression. SEE ALSO: ...
- Intro to Linear Regression - YouTube
Jan 30, 2008 ... A really brief introduction to the "best fit" line through X:Y data.
- Introduction to linear regression
Linear regression is the most widely used of all statistical techniques: it is the study of linear (i.e., straight-line) relationships between variables, usually under an ...
- Linear Regression
Linear Regression. A classic statistical problem is to try to determine the relationship between a random variable Y. and an independent variable x. For example ...