Linear regression

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Related to regression line: regression analysis, correlation coefficient

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 ?
Equation 3 was utilized to fit a regression line to the group means of the postreinforcement pause.
Based upon the sector regression line, a property manager also may determine that the site is or is not operated as efficiently as other comparable same-use tenants.
Equations of the linear regression lines (fitted through the linear part of the data for each curve as drawn in [ILLUSTRATION FOR FIGURES 8-10 OMITTED]) and the correlation coefficients are listed in Table 2.
Regression line intercept - this is the y intercept of the log-log regression line.
With the cursor at the top of the range of values that will be plotted on the X axis, highlight the column as before, then repeat the procedure for the Y axis data and the regression line data.
The offsetting high projections for women in the groups ages 24 to 44 and for men 60 to 64 move the regression line for the 1976 projection close to the line of perfect forecast, but the larger errors for specific groups in the projection prevent the regression line from being considered as close to the line of perfect forecast as those for 1978 and 1980.
By contrast, the slopes of the regression lines of the Cq values for these 2 reference genes were significantly different from those of the selected typical target genes (for further details, including regression line characteristics, 95% CIs of the slopes, and P values indicating significant deviations from 0, see Table 5 in the online Data Supplement).
The approach is a variant of the least squares regression that takes into account only those data points contained within a band around the regression line [y.
Note that some of the dotted lines are above the regression line and some are below.
By fitting a regression line to ln(epsf) versus ln(t), estimates of the parameters ln(a) and b in the learning curve are obtained.
First, there is uncertainty associated with the slope of the regression line.
Delta]a by linear regression line according to ASTM E813-81.