Table 1.
The following model was selected with AIC for total brain size as the dependent variable.
Table 2.
The following model was selected with AIC for neocortex size as the dependent variable.
Table 3.
Number of models in which each predictor was estimated non-significant (p > 0.05) with total brain size as the dependent variable.
N = 40.
Table 4.
Number of models in which each predictor were estimated non-significant (p > 0.05) with Neocortex size as the dependent variable.
N = 40.
Table 5.
Changes in p-value for each predictor when altering concomitant predictors using total brain as dependent variable.
Read as follows: the focal predictor in the first column was estimated to a lowest p-value (out of all the 32 models the focal predictor where included in) shown in the second column when using concomitant predictors shown in column three. Likewise, the maximum p-value shown in column four, were estimated using concomitant predictors in column five. N = 40.
Table 6.
The change in p-value for each predictor when altering concomitant predictors using neocortex size as dependent variable.
Read as follows: the focal predictor in the first column was estimated to a lowest p-value (out of all the 32 models the focal predictor where included in) shown in the second column when using the concomitant predictors shown in column three. Likewise, the maximum p-value shown in column four, were estimated using concomitant predictors in column five. N = 40.
Table 7.
Overview of changes in the relation between brain size and predictors as different data is used.
N is identical to the original studies in all re-analyses.