A technique in which a straight line is fitted to a set of data points to measure...
A type of analysis of data - linear regression is used to make predictions about a single value. Simple linear regression involves discovering the equation for a line that most nearly fits the given data. That linear equation is then used to predict values for the data.
the prediction equation which estimates the value of the outcome variable ("y") for any given treatment variable ("x").
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 — (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 Edition 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.