Sentence examples for between the regression line from inspiring English sources

Exact(8)

Next we calculated the distance between the regression line and the point representing the source mean.

Our current best estimate of the error in the population mean is based on the distance between the regression line and sources from the single-source experiments.

For each segment, we calculated the distances between the regression line intercepts for the root-to-tip genetic distance versus sampling year for the re-emergent H1N1 lineage and the other human influenza viruses (pre-1977 H2N2, H2N2, and H3N2) (for method see [12]).

If we use the maximum distance between the regression line and sources from the single-source experiments of 2 parts per mil (Table 3) as an estimate of error in the mean mix of sources in the two-source experiments, it would indicate an error of approximately ±3% for the mean mix of sources in the population, in this experiment.

In contrast, Early Pleistocene Homo and H. floresiensis scatter on the region between the regression line and its lower 95% confidence limit, which shows the opposite condition.

For each regression, the coefficient of determination R² was calculated, which is a measure of deviation between the regression line and the observed points.

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Similar(52)

In the same way as for Q1, significances of the parameters a1 and b1 were taken as criteria for determining differences between the regression lines of two categories coded with the variable ctg.

A positive linear relationship between these two quantities emerged, and the similarity between the regression lines of the two stimuli appeared evident, in both tasks and directions.

Phase shifts were expressed as the differences between the regression lines (and thus the hypothetical onsets of activity) on the first day of DD after a normal LD-DD transition and after a light pulse.

c Coefficient of determination describing the fit between the regression lines in Figure 1, and the data points.

The linear regression line of each group in the kinetic assays, whether Ki is significantly different from zero (a condition of no influx), and the differences between the regression lines in Ki and Vi were compared by the least square method with GraphPad Prism software (La Jolla, CA, USA).

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