# 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.
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Caption: Figure 17: (a) Transfer characteristics with best fit line for two-step flash ADC using proposed comparator and (b) INL versus output code.
Best fit line approach is simple one as compare to creager's equation method and it gives approximately similar trend like creager's envelope curve.
Before we leave this discussion of determining whether a straight line is the best fit line for a data set, we want to return to Fig.
The rate of crater formation versus irradiance level slopes listed in Table 1 for all of the polymers given a D rating with regard to UVC resistance had best fit lines with [R.sup.2] > 0.95 but y-intercept = 0.001 - 0.0358 (linear plot of polyacetal).
The results support this contention, as the coefficient for the orthogonal distance is significant at the 1 percent level, and it is negative, indicating that the more that institutions diverge from the best fit line (i.e., the less complementary they are in comparison to other wealthy countries), the less innovation that occurs.
The process load (in kWh/kg) is the slope of the best fit line. This is the average energy used to process each kilogramme of plastic and shows the processing efficiency of the site.

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