Table 6.

Best Fitting Multivariate Predictors from Logistic Regression

Mathematical Learning Disability
	Estimate	Std. Error	z value	Pr(>|z|)	Odds Ratio (eb)
Intercept	−6.59	1.54	−4.27	0.000	---
Sex	1.31	0.94	1.39	0.163	3.71
IQ	−0.81	0.53	−1.52	0.129	0.44
PL	−0.84	0.52	−1.63	0.104	0.43
VSSP	−1.01	0.58	−1.76	0.078	0.36
Number line	1.62	0.66	2.45	0.014	5.05
Count Error	−0.51	0.32	−1.60	0.110	0.60
Low Achieving
Intercept	0.12	0.21	0.56	0.576	---
Sex	−0.73	0.33	−2.23	0.026	0.48
CE	−0.54	0.22	−2.45	0.014	0.58
PL	0.31	0.20	1.59	0.126	1.36
d′	−0.45	0.24	−1.90	0.058	0.64
Number line	0.32	0.22	1.49	0.136	1.38
PCR	−0.39	0.20	−2.01	0.045	0.68
Typically Achieving
Intercept	−0.66	0.19	−3.41	0.000	---
CE	0.30	0.19	1.60	0.110	1.35
d′	1.00	0.29	3.47	0.001	2.72
Number line	−0.54	0.23	−2.30	0.021	0.58
Count Error	0.62	0.27	2.29	0.022	1.86
High Achieving
Intercept	−8.39	2.01	−4.17	0.000	---
Sex	2.32	1.33	1.75	0.080	10.18
IQ	0.77	0.44	1.73	0.083	2.16
CE	1.13	0.72	1.56	0.119	3.10
VSSP	1.07	0.63	1.70	0.089	2.92
d′	1.25	0.85	1.47	0.143	3.49
PCR	1.18	0.46	2.59	0.010	3.25