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Both the linear regression model and generalized linear models are utilized.
Both the linear regression parameters and the IC50 (the concentration of drug required for 50% of cells to be killed) with the no-drug control as the reference were calculated.
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Both the linear regressions of increasing annual averages and the evolving probability distribution of the SWH climate, demonstrating the non-stationarity of the Pacific Northwest wave climate, translate into substantial increases in extreme value projections, important in coastal engineering design and in quantifying coastal hazards.
When we included both PFOA and PFOS in the linear regression model, both variables continued to show a positive linear trend; the trend for PFOA was slightly diminished, but the one for PFOS was notably diminished.
In this case, we ignored the ESG cross-term for simplicity, considering both their insignificance in the linear regression and increased number of dependent variables (three additional ESG cross-term variables) in the quadratic model.
R 2 is the correlation coefficient of the linear regression for both models, and λ −1 is the characteristic amplitude of the distribution.
Both methods yielded the same results; the linear regression data is presented.
Any violation of assumption was observed by examining the interaction between explanatory variables and outliers in both models, and diagnostic tests in the linear regression model.
Based on the ganglion area and the number of ganglionic neurons the linear regression formulas both for controls and GK rats were calculated by SPSS 16.0 software (SPSS Inc., Chicago, USA).
Linear regression of pollen influx produced RPP values which are comparable with previous European studies, whilst for some taxa the Extended R-value analysis produced estimates which are orders of magnitude different both from values derived from the linear regression and previous work.
Dashed line indicates the linear regression.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com