The channel height will be dependent on the highest or lowest close away from the median line over the given time frame of your choosing. The median line is based on simple linear regression based ...

Linear regression models the relationship between a dependent and independent variable (s). A linear regression essentially estimates a line of best fit among all variables in the model.

A linear regression is a statistical model that attempts to show the relationship between two variables with a linear equation. A regression analysis involves graphing a line over a set of data ...

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

One of the simplest prediction methods is linear regression, in which we attempt to find a 'best line' through the data points.

Capture relationships between data sets by graphing linear equations in Microsoft Excel 2007. Linear equations allow you to predict values within your data set and view the overall trend.

Using advanced techniques to make better predictions can help you stand out. Here's a step-by-step guide to learning how to do a regression analysis.

Statistical texts written by geographers invariably illustrate and calculate the prediction limits about an estimated regression line as pairs of parallel lines. Such limits should be hyperbolic when ...