Number of Observations Read	53	
Number of Observations Used	43	
Number of Observations with Missing Values	10	

Analysis of Variance	
Source	DF	Sum of
Squares	Mean
Square	F Value	Pr > F	
Model	1	6.50993	6.50993	25.32	<.0001	
Error	41	10.54017	0.25708			
Corrected Total	42	17.05010				

Root MSE	0.50703	R-Square	0.3818	
Dependent Mean	-0.82713	Adj R-Sq	0.3667	
Coeff Var	-61.29932			

Parameter Estimates	
Variable	Label	DF	Parameter
Estimate	Standard
Error	t Value	Pr > |t|	
Intercept	Intercept	1	1.53885	0.47649	3.23	0.0024	
pH	pH	1	-0.35773	0.07109	-5.03	<.0001	

Number of Observations Read	53	
Number of Observations Used	53	

Analysis of Variance	
Source	DF	Sum of
Squares	Mean
Square	F Value	Pr > F	
Model	1	11.04685	11.04685	53.45	<.0001	
Error	51	10.54017	0.20667			
Corrected Total	52	21.58703				

Root MSE	0.45461	R-Square	0.5117	
Dependent Mean	-0.81877	Adj R-Sq	0.5022	
Coeff Var	-55.52361			

Parameter Estimates	
Variable	Label	DF	Parameter
Estimate	Standard
Error	t Value	Pr > |t|	
Intercept	Intercept	1	1.53885	0.32846	4.68	<.0001	
pH	pH	1	-0.35773	0.04893	-7.31	<.0001	

Model Information	
Data Set	WORK.MERCURY	
Method	MCMC	
Multiple Imputation Chain	Multiple Chains	
Initial Estimates for MCMC	EM Posterior Mode	
Start	Starting Value	
Prior	Jeffreys	
Number of Imputations	5	
Number of Burn-in Iterations	200	
Seed for random number generator	12345	

Missing Data Patterns	
Group	LOGMERCURY	pH	Freq	Percent	Group Means	
					LOGMERCURY	pH	
1	X	X	43	81.13	-0.827135	6.613953	
2	.	X	10	18.87	.	6.490000	

EM (Posterior Mode) Iteration History	
_Iteration_	-2 Log L	-2 Log Posterior	LOGMERCURY	
0	61.396763	58.642237	-0.818769	
1	61.544987	58.460102	-0.818769	
2	61.572067	58.456704	-0.818769	
3	61.577432	58.456594	-0.818769	
4	61.578407	58.456591	-0.818769	
5	61.578582	58.456590	-0.818769	

EM (Posterior Mode) Estimates	
_TYPE_	_NAME_	LOGMERCURY	pH	
MEAN		-0.818769	6.590566	
COV	LOGMERCURY	0.426402	-0.551442	
COV	pH	-0.551442	1.541523	

Initial Parameter Estimates for MCMC	
_TYPE_	_NAME_	LOGMERCURY	pH	
MEAN		-0.818769	6.590566	
COV	LOGMERCURY	0.426402	-0.551442	
COV	pH	-0.551442	1.541523	

Multiple Imputation Variance Information	
Variable	Variance	DF	Relative
Increase
in Variance	Fraction
Missing
Information	Relative
Efficiency	
	Between	Within	Total					
LOGMERCURY	0.000134	0.009309	0.009469	49.086	0.017237	0.017086	0.996594	

Multiple Imputation Parameter Estimates	
Variable	Mean	Std Error	95% Confidence Limits	DF	Minimum	Maximum	Mu0	
LOGMERCURY	-0.822186	0.097309	-1.01773	-0.62664	49.086	-0.836348	-0.805056	0	

Multiple Imputation Parameter Estimates	
Variable	t for H0:
Mean=Mu0	Pr > |t|	
LOGMERCURY	-8.45	<.0001	

Obs	LOGMERCURY	pH	
1	0.42527	6.1	
2	0.23114	5.1	
3	-1.50455	9.1	
4	-0.24490	6.9	
5	0.28518	4.6	
6	-1.38629	7.3	
7	-0.79851	5.4	
8	-1.83258	8.1	
9	-0.32850	5.8	
10	-0.21072	6.4	
11	-0.34249	5.4	
12	-0.67334	7.2	
13	-0.61619	7.2	
14	0.00000	5.8	
15	-1.80418	7.6	
16	-1.89712	8.2	
17	-1.66073	8.7	
18	-0.71335	7.8	
19	0.01980	5.8	
20	-0.35667	6.7	
21	-0.79851	4.4	
22	-0.52763	6.7	
23	-0.76078	6.1	
24	-0.21072	6.9	
25	-0.86750	5.5	
26	-0.63488	6.9	
27	-1.17118	7.3	
28	-0.13926	4.5	
29	-0.44608	4.8	
30	-0.75502	5.8	
31	-1.38629	7.8	
32	-0.89160	7.4	
33	-0.48652	3.6	
34	-0.19320	4.4	
35	-1.83258	7.9	
36	-1.83258	7.1	
37	-1.46968	6.8	
38	-1.29506	8.4	
39	-0.57982	7.0	
40	-0.11653	7.5	
41	-1.71480	7.0	
42	-1.66073	6.8	
43	-0.82098	5.9	
44	-1.83258	8.3	
45	-0.40048	6.7	
46	-0.59784	6.2	
47	-0.54473	6.2	
48	-1.58490	8.9	
49	-0.02020	4.3	
50	-1.17118	7.0	
51	-0.84397	6.9	
52	-1.27297	5.2	
53	-1.38629	7.9	
54	0.42527	6.1	
55	-0.23191	5.1	
56	-2.08823	9.1	
57	-0.26817	6.9	
58	0.28518	4.6	
59	-1.38629	7.3	
60	-0.79851	5.4	
61	-1.83258	8.1	
62	-0.32850	5.8	
63	-0.21072	6.4	
64	-0.34249	5.4	
65	-0.67334	7.2	
66	-0.61619	7.2	
67	0.00000	5.8	
68	-1.52432	7.6	
69	-1.89712	8.2	
70	-1.66073	8.7	
71	-0.71335	7.8	
72	0.01980	5.8	
73	-0.35667	6.7	
74	-0.79851	4.4	
75	-0.52763	6.7	
76	-0.65190	6.1	
77	-0.21072	6.9	
78	-0.86750	5.5	
79	-0.63488	6.9	
80	-1.17118	7.3	
81	-0.13926	4.5	
82	-0.22042	4.8	
83	-0.75502	5.8	
84	-1.38629	7.8	
85	-0.89160	7.4	
86	0.72121	3.6	
87	0.17790	4.4	
88	-1.83258	7.9	
89	-1.83258	7.1	
90	-1.46968	6.8	
91	-1.82481	8.4	
92	-0.57982	7.0	
93	-0.11653	7.5	
94	-1.71480	7.0	
95	-1.66073	6.8	
96	-0.82098	5.9	
97	-1.83258	8.3	
98	-0.40048	6.7	
99	-0.59784	6.2	
100	-0.54473	6.2	
101	-1.90753	8.9	
102	-0.02020	4.3	
103	-1.17118	7.0	
104	-0.84397	6.9	
105	-1.27297	5.2	
106	-1.38629	7.9	
107	0.42527	6.1	
108	-0.28748	5.1	
109	-2.51884	9.1	
110	-1.37084	6.9	
111	0.28518	4.6	
112	-1.38629	7.3	
113	-0.79851	5.4	
114	-1.83258	8.1	
115	-0.32850	5.8	
116	-0.21072	6.4	
117	-0.34249	5.4	
118	-0.67334	7.2	
119	-0.61619	7.2	
120	0.00000	5.8	
121	-2.11615	7.6	
122	-1.89712	8.2	
123	-1.66073	8.7	
124	-0.71335	7.8	
125	0.01980	5.8	
126	-0.35667	6.7	
127	-0.79851	4.4	
128	-0.52763	6.7	
129	-1.14746	6.1	
130	-0.21072	6.9	
131	-0.86750	5.5	
132	-0.63488	6.9	
133	-1.17118	7.3	
134	-0.13926	4.5	
135	0.75224	4.8	
136	-0.75502	5.8	
137	-1.38629	7.8	
138	-0.89160	7.4	
139	0.53796	3.6	
140	1.17626	4.4	
141	-1.83258	7.9	
142	-1.83258	7.1	
143	-1.46968	6.8	
144	-2.02577	8.4	
145	-0.57982	7.0	
146	-0.11653	7.5	
147	-1.71480	7.0	
148	-1.66073	6.8	
149	-0.82098	5.9	
150	-1.83258	8.3	
151	-0.40048	6.7	
152	-0.59784	6.2	
153	-0.54473	6.2	
154	-1.75956	8.9	
155	-0.02020	4.3	
156	-1.17118	7.0	
157	-0.84397	6.9	
158	-1.27297	5.2	
159	-1.38629	7.9	
160	0.42527	6.1	
161	-0.61005	5.1	
162	-1.16566	9.1	
163	-1.32459	6.9	
164	0.28518	4.6	
165	-1.38629	7.3	
166	-0.79851	5.4	
167	-1.83258	8.1	
168	-0.32850	5.8	
169	-0.21072	6.4	
170	-0.34249	5.4	
171	-0.67334	7.2	
172	-0.61619	7.2	
173	0.00000	5.8	
174	-1.10238	7.6	
175	-1.89712	8.2	
176	-1.66073	8.7	
177	-0.71335	7.8	
178	0.01980	5.8	
179	-0.35667	6.7	
180	-0.79851	4.4	
181	-0.52763	6.7	
182	-0.77583	6.1	
183	-0.21072	6.9	
184	-0.86750	5.5	
185	-0.63488	6.9	
186	-1.17118	7.3	
187	-0.13926	4.5	
188	-0.35122	4.8	
189	-0.75502	5.8	
190	-1.38629	7.8	
191	-0.89160	7.4	
192	0.65104	3.6	
193	0.18145	4.4	
194	-1.83258	7.9	
195	-1.83258	7.1	
196	-1.46968	6.8	
197	-1.25853	8.4	
198	-0.57982	7.0	
199	-0.11653	7.5	
200	-1.71480	7.0	
201	-1.66073	6.8	
202	-0.82098	5.9	
203	-1.83258	8.3	
204	-0.40048	6.7	
205	-0.59784	6.2	
206	-0.54473	6.2	
207	-2.52142	8.9	
208	-0.02020	4.3	
209	-1.17118	7.0	
210	-0.84397	6.9	
211	-1.27297	5.2	
212	-1.38629	7.9	
213	0.42527	6.1	
214	0.66434	5.1	
215	-1.49913	9.1	
216	-0.15567	6.9	
217	0.28518	4.6	
218	-1.38629	7.3	
219	-0.79851	5.4	
220	-1.83258	8.1	
221	-0.32850	5.8	
222	-0.21072	6.4	
223	-0.34249	5.4	
224	-0.67334	7.2	
225	-0.61619	7.2	
226	0.00000	5.8	
227	-2.21861	7.6	
228	-1.89712	8.2	
229	-1.66073	8.7	
230	-0.71335	7.8	
231	0.01980	5.8	
232	-0.35667	6.7	
233	-0.79851	4.4	
234	-0.52763	6.7	
235	-0.31179	6.1	
236	-0.21072	6.9	
237	-0.86750	5.5	
238	-0.63488	6.9	
239	-1.17118	7.3	
240	-0.13926	4.5	
241	-0.37098	4.8	
242	-0.75502	5.8	
243	-1.38629	7.8	
244	-0.89160	7.4	
245	-0.02458	3.6	
246	-0.35233	4.4	
247	-1.83258	7.9	
248	-1.83258	7.1	
249	-1.46968	6.8	
250	-1.26006	8.4	
251	-0.57982	7.0	
252	-0.11653	7.5	
253	-1.71480	7.0	
254	-1.66073	6.8	
255	-0.82098	5.9	
256	-1.83258	8.3	
257	-0.40048	6.7	
258	-0.59784	6.2	
259	-0.54473	6.2	
260	-1.57237	8.9	
261	-0.02020	4.3	
262	-1.17118	7.0	
263	-0.84397	6.9	
264	-1.27297	5.2	
265	-1.38629	7.9	

Number of Observations Read	53	
Number of Observations Used	53	

Analysis of Variance	
Source	DF	Sum of
Squares	Mean
Square	F Value	Pr > F	
Model	1	9.08218	9.08218	37.66	<.0001	
Error	51	12.30040	0.24118			
Corrected Total	52	21.38258				

Root MSE	0.49111	R-Square	0.4247	
Dependent Mean	-0.82369	Adj R-Sq	0.4135	
Coeff Var	-59.62223			

Parameter Estimates	
Variable	Label	DF	Parameter
Estimate	Standard
Error	t Value	Pr > |t|	
Intercept	Intercept	1	1.31402	0.35483	3.70	0.0005	
pH	pH	1	-0.32436	0.05286	-6.14	<.0001	

Number of Observations Read	53	
Number of Observations Used	53	

Analysis of Variance	
Source	DF	Sum of
Squares	Mean
Square	F Value	Pr > F	
Model	1	14.25988	14.25988	63.25	<.0001	
Error	51	11.49840	0.22546			
Corrected Total	52	25.75827				

Root MSE	0.47482	R-Square	0.5536	
Dependent Mean	-0.81858	Adj R-Sq	0.5449	
Coeff Var	-58.00560			

Parameter Estimates	
Variable	Label	DF	Parameter
Estimate	Standard
Error	t Value	Pr > |t|	
Intercept	Intercept	1	1.86004	0.34307	5.42	<.0001	
pH	pH	1	-0.40643	0.05111	-7.95	<.0001	

Number of Observations Read	53	
Number of Observations Used	53	

Analysis of Variance	
Source	DF	Sum of
Squares	Mean
Square	F Value	Pr > F	
Model	1	18.70283	18.70283	67.01	<.0001	
Error	51	14.23331	0.27908			
Corrected Total	52	32.93615				

Root MSE	0.52828	R-Square	0.5679	
Dependent Mean	-0.83635	Adj R-Sq	0.5594	
Coeff Var	-63.16563			

Parameter Estimates	
Variable	Label	DF	Parameter
Estimate	Standard
Error	t Value	Pr > |t|	
Intercept	Intercept	1	2.23131	0.38169	5.85	<.0001	
pH	pH	1	-0.46546	0.05686	-8.19	<.0001	

Number of Observations Read	53	
Number of Observations Used	53	

Analysis of Variance	
Source	DF	Sum of
Squares	Mean
Square	F Value	Pr > F	
Model	1	11.86482	11.86482	49.77	<.0001	
Error	51	12.15831	0.23840			
Corrected Total	52	24.02313				

Root MSE	0.48826	R-Square	0.4939	
Dependent Mean	-0.82725	Adj R-Sq	0.4840	
Coeff Var	-59.02247			

Parameter Estimates	
Variable	Label	DF	Parameter
Estimate	Standard
Error	t Value	Pr > |t|	
Intercept	Intercept	1	1.61610	0.35278	4.58	<.0001	
pH	pH	1	-0.37073	0.05255	-7.05	<.0001	

Number of Observations Read	53	
Number of Observations Used	53	

Analysis of Variance	
Source	DF	Sum of
Squares	Mean
Square	F Value	Pr > F	
Model	1	10.64830	10.64830	40.15	<.0001	
Error	51	13.52510	0.26520			
Corrected Total	52	24.17340				

Root MSE	0.51497	R-Square	0.4405	
Dependent Mean	-0.80506	Adj R-Sq	0.4295	
Coeff Var	-63.96746			

Parameter Estimates	
Variable	Label	DF	Parameter
Estimate	Standard
Error	t Value	Pr > |t|	
Intercept	Intercept	1	1.50964	0.37208	4.06	0.0002	
pH	pH	1	-0.35121	0.05543	-6.34	<.0001	

Model Information	
Data Set	WORK.OUTREG	
Number of Imputations	5	

Multiple Imputation Variance Information	
Parameter	Variance	DF	Relative
Increase
in Variance	Fraction
Missing
Information	Relative
Efficiency	
	Between	Within	Total					
INTERCEPT	0.124993	0.130437	0.280429	13.982	1.149922	0.589646	0.894511	
PH	0.002987	0.002894	0.006478	13.07	1.238236	0.608825	0.891452	

Multiple Imputation Parameter Estimates	
Parameter	Estimate	Std Error	95% Confidence Limits	DF	Minimum	Maximum	
INTERCEPT	1.706221	0.529555	0.57030	2.84214	13.982	1.314015	2.231313	
PH	-0.383640	0.080489	-0.55743	-0.20985	13.07	-0.465463	-0.324359	

Multiple Imputation Parameter Estimates	
Parameter	Theta0	t for H0:
Parameter=Theta0	Pr > |t|	
INTERCEPT	0	3.22	0.0062	
PH	0	-4.77	0.0004