Regression analysis multiple

Molecular Descriptors and Statistical Terms for Multiple Regression Analyses... 

Table IV. Summary of multiple regression analyses for the prediction of log P from molecular connectivity Indices (sample...

We became interested in whether or not biological structure-activity relationships could be developed for any of these sets of compounds. Only the acyclic nitrosamines appeared to constitute a sufficiently extensive and well-defined series, and we consequently carried out computerized multiple regression analyses on this group of compounds, using log (I/D50) the dependent variable analogous to RBR (12). 

J. I. Wadsworth on the research of the foam properties and multiple regression analyses, respectively, with glandless cottonseed flour. Names of companies or conmerical products are given solely for the purpose of providing information their mention does not imply recommendation or endorsement by the U.S. Department of Agriculture over others not mentioned. 

For example, on the 3 occasions where regression analysis was applied, 3 divergent conclusions were reached on the effect of sex on antipyrine metabolism. Despite different populations in each study, ethnic differences alone probably do not explain the discrepancies. Possibly too much reliance has been placed on the statistical significance of p values derived from the model based on multiple regression analyses, particularly when the correlations themselves are low and the subjects are under highly perturbed environmental conditions (35,36). Whereas the results of such studies on causes of variability in antipyrine kinetics may provide valuable clues, the conclusions and clues drawn from the model that uses multiple regression analyses should be validated by a carefully controlled, prospective experiment before safe acceptance. 

Southwest England. The effects of sedimentary variables on Zn concentrations in Scrobicularia were initially tested by multiple regression. Values of the F-statistic were calculated to determine the level of significance at which sedimentary variables explained Zn levels in the clam (Table VI). Several different regression equations were calculated to compare the different methods of extracting Zn, I4n and Fe. The multiple regression analyses employed only the 29 stations at which seaweed was found. 

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