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Table 4 Regression models for ASD group describing processing speed scores’ lack of dependence on faxon and Daxon in the mid and posterior segments. As in the analyses reported in Table 3, analyses controlled for the number of voxels (NumVox) in the designated segment. Adjusted R2 (i.e., R2 adjusted for the number of predictors in the model) and uncorrected p values are reported

From: Diffusional kurtosis imaging of the corpus callosum in autism

Model Predictors Sig. (predictors) Sig. (model) R2 (model)
1 (DigitSC) Covariate NumVox (seg1) .997 .254 .160
Investigated predictors faxon (seg1) .785
Daxon (seg1) .110
ADextra (seg1) .138
RDextra (seg1) .587
2 (DigitSC) Covariate NumVox (seg2) .614 .339 .023
Investigated predictors faxon (seg2) .371
Daxon (seg2) .950
ADextra (seg2) .498
RDextra (seg2) .836
3 (DigitSC) Covariate NumVox (seg3) .549 .738 − .1781
Investigated predictors faxon (seg3) .344
Daxon (seg3) .894
ADextra (seg3) .220
RDextra (seg3) .630
4 (DigitSC) Covariate NumVox (seg4) .407 .221 .190
Investigated predictors faxon (seg4) .061
Daxon (seg4) .812
ADextra (seg4) .099
RDextra (seg4) .524
5 (DigitSC) Covariate NumVox (seg1) .970 .870 − .2751
Investigated predictors faxon (seg1) .748
Daxon (seg1) .830
ADextra (seg1) .509
RDextra (seg1) .723
6 (SS) Covariate NumVox (seg1) .670 .372 .046
Investigated predictors faxon (seg1) .906
Daxon (seg1) .261
ADextra (seg1) .143
RDextra (seg1) .963
7 (SS) Covariate NumVox (seg2) .675 .362 .033
Investigated predictors faxon (seg2) .160
Daxon (seg2) .550
ADextra (seg2) .813
RDextra (seg2) .386
8 (SS) Covariate NumVox (seg3) .269 .339 .066
Investigated predictors faxon (seg3) .752
Daxon (seg3) .180
ADextra (seg3) .289
RDextra (seg3) .308
9 (SS) Covariate NumVox (seg4) .253 .375 .008
Investigated predictors faxon (seg4) .378
Daxon (seg4) .354
ADextra (seg4) .928
RDextra (seg4) .921
10 (SS) Covariate NumVox (seg1) .190 .394 .052
Investigated predictors faxon (seg1) .556
Daxon (seg1) .564
ADextra (seg1) .985
RDextra (seg1) .939
  1. 1Negative adjusted R2 values indicate poor fit of the data