Table 5.
Linear regression analyses
B (SE) | Beta | P | R2 change | ||
---|---|---|---|---|---|
Linear regression: Severity of language impairment (total CELF-3uk score) | |||||
Step 1 | |||||
Predictors: | AC | 2.87 (0.47) | 0.68 | <0.0001 | 0.451, P < 0.0001 |
Step 2 (final model) | |||||
Predictors: | AC | 1.84 (0.51) | 0.44 | 0.001 | 0.122, P = 0.001 |
CC segment V | 1.57 (0.44) | 0.43 | 0.001 | ||
Linear regression: CELF-3UK residuals (after removing PIQ) | |||||
Step 1 (final model) | |||||
Predictors: | AC | 1.73 (0.37) | 0.58 | <0.0001 | 0.32, P < 0.0001 |
AC = anterior commissure; CC = corpus callosum; PIQ = performance IQ.