A type of statistical analysis where a straight line or linear relationship characterizes the amount of change in a dependent variable which is associated with a unit change in the independent variable.

Regression in which the relationship is linear.

The best fit of sample data points to a linear model by minimizing the sum of the squares of deviations between the points and the line.

Fits a line to a scatter-plot in such a way as to minimize the sum of the squares of the residuals.

the relation between variables when the regression equation is linear: e.g., y = ax + b

a statistical method used to develop models that minimize the standard error of the estimate

Regression analysis that assumes a straight-line relationship between x and y.

A statistical technique for finding the best linear relationship between two numerical variables, x and y; the statistical evaluation of the significance of the estimated relationship is most reliable when y has a bell-shaped distribution (normal distribution)

See regression, assumes that the relationship between variables can be summarised by a straight line.

a statistical tool used for forecasting future price. The concept behind linear regression is to find the best estimate of the trend given a noisy sample of data points. Chart Keys: Period: 10 Standard Deviation: 2 LIQUIDATION â€” (1) The process of converting securities or other property into cash. (2) The dissolution of a company, with cash remaining after sale of its assets and payment of all indebtedness being distributed to the shareholders.

The process of determining a regression or prediction equation to predict Y from X.

A linear regression uses the method of least squares to determine the best equation describing a set of x and y data points.

A statistical technique used to find the best-fitting linear relationship between a target (dependent) variable and its predictors (independent variables).

A statistical technique for fitting a straight line to a set of data points.

A technique for fitting a straight line to a family of plotted points on Cartesian coordinates. Used in developing cost estimating relationships. Cost Estimators Reference Manual, Stewart, Wyskida & Johannes, Second EditionÂ Keyword(s): Linear Regression

In statistics, linear regression is a regression method of modeling the conditional expected value of one variable y given the values of some other variable or variables x. It may be contrasted to nonlinear regression.