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The equation in each chart represents the linear relationship between the measures, while the measure of fit is provided by the Pearson product-moment correlation coefficient (R).
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The goal of LDA is to maximize the between-class measure while minimizing the within-class measure.
This indicates that the new objective function estimates the difference of not only the values but also the forms between the measured and estimated data, while the standard objective function estimates only the value difference.
While the difference between the measured VCV FRET efficiency and the transfer efficiency predicted by the kinetic model was statistically different, it was also relatively small (6%).
Hereby common underlying constructs are extracted based on covariance between measures while the number of variables is reduced.
The link between these two measures, while often taken for granted, is actually far from being understood and often controversial and lopsided.
Likewise, computing partial correlations between age and each of the acuity measures, while controlling for cognitive processing, resulted in little attenuation of the correlations provided in Table 7.
The Chi square test statistic was used to test the significance of association between various factors and the substance use measures, while the t-test was used to compare means.
Good correlation is obtained between the predicted results and the measured data while a substantial deviation is observed with the earlier estimations.
Change scores for each of the physical environmental items were computed as the difference between the baseline and follow-up measures, while change in the visibility of walking and cycling was summarised using the mean of the corresponding change scores for the four individual items to match the outcome of total weekly time spent walking and cycling.
The association between NAA and the N1m amplitude accounts for 37% of the measured variance, while the association between Cho and the N1m amplitude accounts for 29% of the variance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com