Table 5. Linear Regression Summary: GDS as Predictor Across Models (Phonemic Fluency)
Predictor	Estimate	SE	t	p
Total Words: MMSE + GDS
Intercept	-4.633	2.713	-1.708	0.091
MMSE	0.571	0.103	5.522	0***
GDS	-0.040	0.084	-0.478	0.633
Total Words: Education + GDS
Intercept	6.370	1.135	5.612	0***
Years of Education	0.361	0.090	4.004	0***
GDS	-0.115	0.088	-1.305	0.195
Total Words: Age + GDS
Intercept	22.136	3.981	5.560	0***
Age	-0.169	0.054	-3.138	0.002**
GDS	-0.167	0.092	-1.802	0.075
Intrusions: MMSE + GDS
Intercept	2.229	0.564	3.950	0***
MMSE	-0.075	0.022	-3.470	0.001***
GDS	0.005	0.017	0.295	0.769
Intrusions: Education + GDS
Intercept	0.708	0.230	3.076	0.003**
Years of Education	-0.039	0.018	-2.111	0.037*
GDS	0.015	0.018	0.836	0.405
Cluster Count: MMSE + GDS
Intercept	-0.818	0.838	-0.976	0.331
MMSE	0.100	0.032	3.139	0.002**
GDS	-0.006	0.026	-0.241	0.81
Cluster Count: Education + GDS
Intercept	1.067	0.335	3.182	0.002**
Years of Education	0.068	0.027	2.563	0.012*
GDS	-0.019	0.026	-0.747	0.457
Words in Clusters: MMSE + GDS
Intercept	-1.004	2.061	-0.487	0.627
MMSE	0.204	0.079	2.594	0.011*
GDS	-0.013	0.064	-0.204	0.839
English Intrusions: Education + GDS
Intercept	0.058	0.051	1.138	0.258
Years of Education	0.002	0.004	0.431	0.667
GDS	-0.005	0.004	-1.350	0.18