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Data were regressed against tail somites using group centered regressions and only within each age-based group, because it is easier to regress out age if the age-related changes are smaller.
DI TP data were regressed against landscape characteristics to quantify the relationships to adjacent watershed stressors.
All data were regressed against tail somite number and centroid size to remove small differences within the age groups.
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The data was arranged so that the phosphoprotein data was regressed against the survival data using PLS regression on the complete data set of 8 phosphoproteins, at 3 time points, using 3 cell lines, with 6 treatments.
Experimental data were regressed with the modified Apelblat equation and the λH equation.
When the data were regressed for confounding, funisitis remained significant (adjusted odds ratio, 1.3; 95% CI, 1.1-1.9).
The Miller Heirs data were regressed between times 0 and 50 months by DED and DED1.
Because of differences in feed intake, data that were regressed against amino acid intake (i.e., body fat mass and plasma lipids) were normalized to energy intake prior to regression analysis.
The volumetric SWC data determined from the samples were regressed against the tensiometers and watermarks potential readings.
Data were then log10 transformed and all species bite forces were regressed against body size to generate a Mega-predator linear regression equation (Log10 (Predicted BF) = 0.59 Log10(g) + 0.16; r2 = 0.84, P < 0.0001).
On this data we performed a principal component analysis (PCA), using SPSS 16.0.1 for Mac OSX, and the principal components scores were regressed against latitude and altitude in a multiple regression analysis.
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