# 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.
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The influence of temperature and humidity could be modeled using parallel shifted regression lines. The rate of strength loss, however, was different for temperature and moisture examinations.
Log concentration-mortality regression line for the activity of caraway oil on Tribolium castaneum.
The slope of the regression line was not optimal (0.61); therefore, the Lin concordance coefficient was weaker ([r.sub.c] = 0.677).
2 the relations of determination between PAPs and each of the variables PVR, Systolic BP/24h and CO, are graphically represented by the regression line in squares A, B, C in comparison with the parabola-type regression in the squares A', B', C'.
As noted before, SE as an absolute measure of goodness-of-fit--it measures the variability of the actual Y observations around the regression line. SE also is analogous to the standard deviation.
Again, on both the left and right sides of the treatment threshold, the sum of squared errors is minimized by a positively sloped regression line. However, with more non-heaped data, including a sizable share to the left of the data heap at R = -10 and to the right of the data heap at R = 10, the magnitude of the slope is much smaller.
As the results show, the regression lines for steel fiber mixtures were all above the regression line for non-steel fiber reinforced mixture, indicating that the steel fiber additions increased the flow resistance of WMS even though the trend was not consistent.
Tachycardiac and bradycardic responses ([DELTA]HR) against [DELTA]MAP were fitted using separate regression lines for both C57 and SOD1 animals (n = 8/group), respectively.
The rate of decline for these measures was determined by calculating the slope of the linear regression line for the run-in period, the three month follow-up period, and the six month follow-up period.
Better to visualise the patterns in the data, a bivariate linear regression line is added for each group of data.

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