Linear regression

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Linear regression

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

Linear Regression

A statistical technique in which one takes a set of data points and plots them on a line. Linear regression is used to determine trends in economic data. For example, one may take different figures of GDP growth over time and plot them on a line in order to determine whether the general trend is upward or downward.
References in periodicals archive ?
When the links between these concepts are revealed, one arrives at a relational understanding of the line of best fit in the least squares sense.
In addition, a Regression Analysis was performed to look for trends in the line of best fit for each Process Standard.
Using a popular shareware program for fitting curves by LSR (CURVEFIT, 1988), the curved line of best fit was found.
After 8 scores were collected, if the line of best fit was flatter than the goal line, the teacher introduced a teaching change to improve the rate of progress, and collected 8 new scores.
The next step is to describe a line, called the "line of best fit," drawn through the data.
They joined the data points with simple curves and also drew an approximate line of best fit that they thought best fits the data.
Use the spreadsheet to fit a straight line of best fit to the data points and find the equation of the line of best fit.
Regression analysis of the data yielded the equation for the line of best fit as: MEIA = 1.39 ([+ or -] 0.04) X HPLC-MS + 1.30 ([+ or -] 0.46) [micro]g/L (r = 0.951; [S.sub.y|x] = 2.46; n = 125).
(Rather than connecting the data points, scientists sometimes draw a line of best fit, which shows the general trend the data follow.
On top of each I have superimposed a line of best fit - the curve that captures most accurately the underlying trend.
Then using the resulting line of best fit (regression line), they determine the apparent molecular weight of unknown proteins based on their mobility during gel electrophoresis.