table of contents 
The aim of this paper was to investigate the relationship between selection …
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Table 1
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Stepwise multiple regression models: brain components
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Brain components (dependent variables)
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Independent variables included in the best model
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Pons
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Medulla oblongata
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Cerebellum
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Mesencephalon
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Diencephalon
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Telencephalon
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Total brain volume minus the dependent variable
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b = 1.233
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b = 0.734
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b = 1.030
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b = 0.646
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b = 0.841
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b = 1.090
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t = 21.016
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t = 17.239
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t = 22.734
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t = 20.520
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t = 30.225
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t = 28.424
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p |
p |
p |
p |
p |
p |
Sexual size dimorphism
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b = -0.240
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b = 0.369
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-
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b = 0.168
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b = 0.140
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b = -0.182
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t = -2.421
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t = 5.093
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t = 3.134
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t = 3.294
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t = -3.227
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p = 0.026
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p |
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p = 0.006
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p = 0.005
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p = 0.005
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Female group size
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--
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--
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--
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--
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b = -0.064
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b = 0.119
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t = -2.143
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t = 3.259
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p = 0.048
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p = 0.005
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Male group size
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--
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--
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--
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--
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b = 0.043
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b = -0.062
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t = 2.021
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t = -2.335
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p = 0.060
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p = 0.033
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Whole model
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F(2,18) = 258.21
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F(2, 18) = 260.89
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F(1,19) = 516.82
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F(2,18) = 317.32
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F(4,16) = 409.56
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F(4,16) = 352.48
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R2 = 0.966
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R2 = 0.967
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R2 = 0.964
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R2 = 0.972
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R2 = 0.990
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R2 = 0.989
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p |
p |
p |
p |
p |
p |
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The table shows results from separate multiple regression models based on independent contrasts investigating the effects of four independent variables on six different main components of the primate brain.
The models were constructed by sequentially removing variables, keeping those with p ≤ 0.1. Each column contains one best regression model relating to that specific brain component. Numbers to the right of each independent variable are the partial regression coefficients for that specific variable, and the numbers in the bottom row give statistics for the multiple regression models. Dashes indicate variables excluded from the final best models because they had a partial regression p > 0.1.
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Lindenfors et al. BMC Biology 2007 5:20 doi:10.1186/1741-7007-5-20
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Table 2
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Stepwise multiple regression models: telencephalon components
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Telencephalon components (dependent variables)
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Independent variables included in the best modeL
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Septum
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Striatum
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Amygdala
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Schizocortex
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Hippocampus
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Neocortex
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Total brain volume minus the dependent component
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b = 0.838
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b = 0.947
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b = 0.581
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b = 0.856
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b = 0.812
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b = 1.405
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t = 19.986
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t = 18.384
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t = 8.978
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t = 13.085
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T = 12.946
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t = 21.420
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p |
p |
p |
p |
p |
p |
Sexual dimorphism
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b = -0.212
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b = -0.373
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b = 0.363
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b = -0.542
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--
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--
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t = -2.892
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t = -4.258
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t = 3.308
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t = -4.731
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p = 0.010
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p |
p = 0.004
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p |
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Female group size
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--
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--
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--
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--
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b = -0.117
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b = 1.136
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T = -2.268
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t = 3.398
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p = 0.036
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p = 0.003
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Male group size
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b = -0.071
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--
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--
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b = -0.188
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--
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b = -0.058
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t = -3.053
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t = -5.191
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t = -1.984
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p = 0.007
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p |
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p = 0.064
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Whole model
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F(3,17) = 158.25
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F(2,18) = 182.92
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F(2,18) = 77.256
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F(3,17) = 67.947
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F(2,18) = 84.643
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F(3,17) = 409.79
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R2 = 0.965
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R2 = 0.953
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R2 = 0.896
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R2 = 0.923
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R2 = 0.4907
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R2 = 0.986
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p |
p |
p |
p |
p |
p |
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The table shows results from separate multiple regression models based on independent contrasts investigating the effects of four independent variables on seven different main components of the primate telencephalon.
The models were constructed by sequentially removing variables, keeping those with p ≤ 0.1. Each column contains one best regression model relating to that specific telencephalon component. Numbers to the right of each independent variable are the partial regression coefficients for that specific variable, while the numbers in the bottom row give statistics for the multiple regression models. Dashes indicate variables excluded from the final best models because they had a partial regression p > 0.1.
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Lindenfors et al. BMC Biology 2007 5:20 doi:10.1186/1741-7007-5-20
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