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Data fit into linear regression curve.
The thin line corresponds to y = x while the linear regression curve is shown as a thick, black line.
Linear regression curve shows a positive slope and two-tailed Pearson correlation analysis shows r2 = 0.41 (p = 0.0009).
The historic wildfire hazards are plotted against model predictions using a scatter plot, and a linear regression curve is fitted.
Assuming that the current production conditions remain unchanged, the linear regression curve is obtained by analyzing the production data after the tertiary well pattern infilling.
Linear regression curve is shown for all 88 targets (thin line) and for the 67 targets of MUV and ChEMBL (thick line).
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The percent-annual concentration change is derived from the slope of a log-linear regression curve.
A curve of height against DBH was plotted and a non-linear regression curve was fitted to the data.
The half maximal (50%) effective concentration (EC50) of HA-binding Ab was calculated in a constrained non-linear regression (curve fit) analysis assay using GraphPad Prism 5.
EC50 values for individual compounds were extrapolated using the non-linear regression curve fit function provided in Prism5.
The percentage competition was calculated based on controls receiving irrelevant VHH (0%) and no virus (100%) using GraphPad Prism and non-linear regression curve fit.
More suggestions(15)
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