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This notion of independence of information in each question should be clearly explained by the test instructions.
The multiple coefficient of determination (R) represents the variability in the values of the formed response which can be explained by the test factors and their interactions.
This might be explained by the test specific properties of a self-test to detect allergies; after a positive result, consumers can adjust their lifestyle, a consultation with a doctor is often not necessary.
Similar(57)
This might be explained by the dissimilar test panels used for evaluation of both subtyping methods.
This apparent contradiction might be explained by the fact the test meal we used may not have been of sufficient energy and, in particular, fat content to evoke a change in vessel function.
However, a number of limitations should be considered when examining the results of this study, as follows: First, the degree of variance explained by the models tested in this study is quite low.
Where indicated, the portion of the variance explained by the model tested is given by the Adjusted R square (Adj R).
These findings may be explained by the different testing populations but may primarily be a result of interassay variations such as different sensitivities, differences in platelet activation techniques, and variations in type of activators and their concentrations.
The high compliance rate amongst the school leaver entrants we believe was explained by the timetabling the tests in the first month of their course.
Seventy-eight percent (using the morphospecies data), respectively 77% (using the MOTU data) of the variation in the staphylinid community composition could be explained by the habitat (permutation test, p<0.001 for both data sets).
The difference of 8 farms between IBR and EBL is explained by the difference in the test sensitivity for the two diseases (Table 2).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com