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The aim of this paper was to investigate the relationship between selection …


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- Primate brain architecture and selection in relation to sex

Table 1

Stepwise multiple regression models: brain components


Brain components (dependent variables)

Independent variables included in the best model
Pons
Medulla oblongata
Cerebellum
Mesencephalon
Diencephalon
Telencephalon
Total brain volume minus the dependent variable
b = 1.233
b = 0.734
b = 1.030
b = 0.646
b = 0.841
b = 1.090

t = 21.016
t = 17.239
t = 22.734
t = 20.520
t = 30.225
t = 28.424

p p p p p p
Sexual size dimorphism
b = -0.240
b = 0.369
-
b = 0.168
b = 0.140
b = -0.182

t = -2.421
t = 5.093

t = 3.134
t = 3.294
t = -3.227

p = 0.026
p
p = 0.006
p = 0.005
p = 0.005
Female group size
--
--
--
--
b = -0.064
b = 0.119





t = -2.143
t = 3.259





p = 0.048
p = 0.005
Male group size
--
--
--
--
b = 0.043
b = -0.062





t = 2.021
t = -2.335





p = 0.060
p = 0.033
Whole model
F(2,18) = 258.21
F(2, 18) = 260.89
F(1,19) = 516.82
F(2,18) = 317.32
F(4,16) = 409.56
F(4,16) = 352.48

R2 = 0.966
R2 = 0.967
R2 = 0.964
R2 = 0.972
R2 = 0.990
R2 = 0.989

p p p p p p

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.

Lindenfors et al. BMC Biology 2007 5:20   doi:10.1186/1741-7007-5-20

Table 2

Stepwise multiple regression models: telencephalon components


Telencephalon components (dependent variables)

Independent variables included in the best modeL
Septum
Striatum
Amygdala
Schizocortex
Hippocampus
Neocortex
Total brain volume minus the dependent component
b = 0.838
b = 0.947
b = 0.581
b = 0.856
b = 0.812
b = 1.405

t = 19.986
t = 18.384
t = 8.978
t = 13.085
T = 12.946
t = 21.420

p p p p p p
Sexual dimorphism
b = -0.212
b = -0.373
b = 0.363
b = -0.542
--
--

t = -2.892
t = -4.258
t = 3.308
t = -4.731



p = 0.010
p p = 0.004
p

Female group size
--
--
--
--
b = -0.117
b = 1.136





T = -2.268
t = 3.398





p = 0.036
p = 0.003
Male group size
b = -0.071
--
--
b = -0.188
--
b = -0.058

t = -3.053


t = -5.191

t = -1.984

p = 0.007


p
p = 0.064
Whole model
F(3,17) = 158.25
F(2,18) = 182.92
F(2,18) = 77.256
F(3,17) = 67.947
F(2,18) = 84.643
F(3,17) = 409.79

R2 = 0.965
R2 = 0.953
R2 = 0.896
R2 = 0.923
R2 = 0.4907
R2 = 0.986

p p p p p p

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.

Lindenfors et al. BMC Biology 2007 5:20   doi:10.1186/1741-7007-5-20

 


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