Multiple Linear Regression - Estimated Regression Equation

MDVP:PPQ[t] = -0.000130499 + 0.000220148status[t] -4.523e-06`MDVP:Fo(Hz)`[t] -2.82097e-07`MDVP:Fhi(Hz)`[t] + 5.04328e-06`MDVP:Flo(Hz)`[t] + 0.902602`MDVP:Jitter(%)`[t] -16.5757`MDVP:Jitter(Abs)`[t] -0.395755`MDVP:RAP`[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STAT H0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	-0.000130499	0.000355816	-0.3668	0.714212	0.357106
status	0.000220148	0.000109203	2.016	0.0452364	0.0226182
`MDVP:Fo(Hz)`	-4.523e-06	1.99827e-06	-2.263	0.0247566	0.0123783
`MDVP:Fhi(Hz)`	-2.82097e-07	5.12499e-07	-0.5504	0.582678	0.291339
`MDVP:Flo(Hz)`	5.04328e-06	1.23244e-06	4.092	6.35051e-05	3.17525e-05
`MDVP:Jitter(%)`	0.902602	0.068061	13.26	1.00125e-28	5.00627e-29
`MDVP:Jitter(Abs)`	-16.5757	5.47901	-3.025	0.00283326	0.00141663
`MDVP:RAP`	-0.395755	0.109384	-3.618	0.00038192	0.00019096

Multiple Linear Regression - Regression Statistics
Multiple R	0.979269
R-squared	0.958968
Adjusted R-squared	0.957432
F-TEST (value)	624.338
F-TEST (DF numerator)	7
F-TEST (DF denominator)	187
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.000569235
Sum Squared Residuals	6.05934e-05

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	0.00554	0.00433259	0.00120741
2	0.00696	0.00563899	0.00132101
3	0.00781	0.00592011	0.00188989
4	0.00698	0.00560512	0.00137488
5	0.00908	0.00725687	0.00182313
6	0.0075	0.00566004	0.00183996
7	0.00202	0.00198101	3.89925e-05
8	0.00182	0.00164855	0.000171451
9	0.00332	0.00290138	0.000418621
10	0.00332	0.00283258	0.000487416
11	0.0033	0.00264083	0.000659166
12	0.00336	0.00284391	0.000516089
13	0.00153	0.00193342	-0.000403415
14	0.00208	0.00216561	-8.56089e-05
15	0.00149	0.001578	-8.79975e-05
16	0.00203	0.00201667	1.33271e-05
17	0.00292	0.00316845	-0.000248447
18	0.00387	0.00433577	-0.000465766
19	0.00432	0.00412188	0.000198121
20	0.00399	0.00468008	-0.000690081
21	0.0045	0.00473804	-0.000238038
22	0.00267	0.00265597	1.40254e-05
23	0.00247	0.00229593	0.000174075
24	0.00258	0.00260778	-2.77781e-05
25	0.0039	0.00404465	-0.000144647
26	0.00375	0.00342089	0.000329109
27	0.00234	0.00225822	8.17809e-05
28	0.00275	0.00276906	-1.90649e-05
29	0.00176	0.00156386	0.000196138
30	0.00253	0.00261559	-8.55878e-05
31	0.00168	0.00167416	5.84166e-06
32	0.00138	0.00135726	2.2739e-05
33	0.00135	0.00118594	0.00016406
34	0.00107	0.000996334	7.36662e-05
35	0.00106	0.000965559	9.44407e-05
36	0.00115	0.00109174	5.8258e-05
37	0.00241	0.0025341	-0.000124101
38	0.00218	0.00225316	-7.31624e-05
39	0.00166	0.00172909	-6.90858e-05
40	0.00182	0.00191186	-9.18606e-05
41	0.00175	0.00179271	-4.27063e-05
42	0.00147	0.00167648	-0.000206482
43	0.00182	0.00171781	0.000102188
44	0.00173	0.00162913	0.000100868
45	0.00137	0.00118479	0.00018521
46	0.00139	0.0012672	0.000122804
47	0.00148	0.00130715	0.000172852
48	0.00113	0.000765413	0.000364587
49	0.00203	0.00326218	-0.00123218
50	0.00155	0.00273012	-0.00118012
51	0.00167	0.00269602	-0.00102602
52	0.00169	0.00269112	-0.00100112
53	0.00166	0.00276318	-0.00110318
54	0.00183	0.00294994	-0.00111994
55	0.00486	0.00440567	0.000454333
56	0.00539	0.00507139	0.000318609
57	0.00514	0.00459763	0.000542375
58	0.00469	0.00468907	9.25134e-07
59	0.00493	0.00469963	0.000230375
60	0.0052	0.00504493	0.000155074
61	0.00152	0.001206	0.000314004
62	0.00151	0.000897043	0.000612957
63	0.00144	0.00146905	-2.90516e-05
64	0.00155	0.00170953	-0.000159531
65	0.00113	0.00112611	3.88667e-06
66	0.0014	0.000781414	0.000618586
67	0.0044	0.00442579	-2.57897e-05
68	0.00463	0.00492025	-0.000290254
69	0.00467	0.00577764	-0.00110764
70	0.00354	0.0039144	-0.000374401
71	0.00419	0.00437847	-0.000188474
72	0.00478	0.00524531	-0.000465314
73	0.0022	0.00251388	-0.000313876
74	0.00329	0.0028782	0.000411798
75	0.00283	0.00286048	-3.04823e-05
76	0.00289	0.00281631	7.36882e-05
77	0.00289	0.00285811	3.18945e-05
78	0.0028	0.00270549	9.45088e-05
79	0.00332	0.00326796	5.20376e-05
80	0.00576	0.0052825	0.000477503
81	0.00415	0.00361479	0.000535214
82	0.00371	0.00355051	0.00015949
83	0.00348	0.00317037	0.000309625
84	0.00258	0.00231542	0.000264584
85	0.0042	0.00403687	0.000163134
86	0.00244	0.00246122	-2.12249e-05
87	0.00194	0.00185854	8.14625e-05
88	0.00312	0.00292212	0.000197885
89	0.00254	0.00222855	0.00031145
90	0.00419	0.00413276	5.72396e-05
91	0.00453	0.00417422	0.000355775
92	0.00227	0.00249692	-0.000226922
93	0.00256	0.00274641	-0.00018641
94	0.00226	0.00193711	0.000322891
95	0.00196	0.00179612	0.000163884
96	0.00197	0.00228958	-0.000319579
97	0.00184	0.00210358	-0.000263581
98	0.00623	0.00702474	-0.000794743
99	0.00655	0.00731183	-0.00076183
100	0.0099	0.0103818	-0.000481832
101	0.01522	0.017204	-0.00198396
102	0.00909	0.00827635	0.000813654
103	0.01628	0.0158215	0.000458489
104	0.00136	0.00123782	0.000122181
105	0.001	0.00118179	-0.000181785
106	0.00134	0.00157029	-0.000230286
107	0.00092	0.00115052	-0.000230521
108	0.00122	0.0015748	-0.000354797
109	0.00096	0.00113581	-0.000175807
110	0.00389	0.00403261	-0.00014261
111	0.00337	0.00321058	0.000159417
112	0.00339	0.00363128	-0.000241278
113	0.00485	0.004999	-0.000149002
114	0.0028	0.00306009	-0.000260094
115	0.00246	0.00249785	-3.78465e-05
116	0.00385	0.00474498	-0.000894984
117	0.00207	0.00256423	-0.000494233
118	0.00261	0.00313541	-0.000525415
119	0.00194	0.00262363	-0.000683628
120	0.00128	0.00232812	-0.00104812
121	0.00314	0.00327777	-0.000137769
122	0.00221	0.00248015	-0.000270149
123	0.00398	0.00374628	0.000233723
124	0.00449	0.00437873	0.000111275
125	0.00395	0.00373663	0.000213367
126	0.00422	0.00393268	0.000287323
127	0.00327	0.00290187	0.000368134
128	0.00351	0.00331888	0.000191118
129	0.00192	0.00252761	-0.000607606
130	0.00135	0.00169016	-0.000340157
131	0.00238	0.00272801	-0.000348007
132	0.00205	0.00232861	-0.00027861
133	0.0017	0.00191047	-0.000210473
134	0.00171	0.00189706	-0.000187061
135	0.00319	0.00321575	-2.57532e-05
136	0.00315	0.00291659	0.000233407
137	0.00283	0.00262387	0.000206126
138	0.00312	0.00289972	0.000220284
139	0.0029	0.00272661	0.000173388
140	0.00232	0.0023063	1.3705e-05
141	0.00269	0.00338284	-0.00069284
142	0.00428	0.00401572	0.000264283
143	0.00215	0.00222205	-7.20482e-05
144	0.00211	0.00180208	0.000307917
145	0.00133	0.0016645	-0.000334501
146	0.00188	0.00162375	0.000256248
147	0.00946	0.0092771	0.000182903
148	0.00819	0.00855824	-0.000368238
149	0.01027	0.0100948	0.000175208
150	0.00963	0.0096298	1.96888e-07
151	0.01154	0.0109239	0.000616115
152	0.01958	0.0182736	0.00130636
153	0.01699	0.0159783	0.00101166
154	0.00332	0.00364064	-0.00032064
155	0.003	0.00365888	-0.000658882
156	0.003	0.00360517	-0.00060517
157	0.00339	0.00389922	-0.000509224
158	0.00718	0.00948362	-0.00230362
159	0.00454	0.005095	-0.000554999
160	0.00318	0.00339918	-0.000219183
161	0.00316	0.00315833	1.6725e-06
162	0.00329	0.0034387	-0.000148695
163	0.0034	0.00342824	-2.82389e-05
164	0.00284	0.00274118	9.88215e-05
165	0.00461	0.00476372	-0.000153717
166	0.00153	0.000972243	0.000557757
167	0.00159	0.00176801	-0.000178013
168	0.00186	0.00189787	-3.78651e-05
169	0.00448	0.00401807	0.000461929
170	0.00283	0.00290625	-7.62478e-05
171	0.00237	0.00252589	-0.000155888
172	0.0019	0.00190599	-5.9891e-06
173	0.002	0.00188482	0.00011518
174	0.00203	0.00178715	0.000242852
175	0.00218	0.00179586	0.000384137
176	0.00199	0.00172694	0.000263061
177	0.00213	0.00181315	0.000316852
178	0.00162	0.00197299	-0.000352989
179	0.00186	0.00192894	-6.89431e-05
180	0.00231	0.00229023	1.9766e-05
181	0.00233	0.00235482	-2.48241e-05
182	0.00235	0.00237548	-2.54849e-05
183	0.00198	0.00210873	-0.000128734
184	0.0027	0.00220694	0.000493058
185	0.00346	0.00271652	0.000743484
186	0.00192	0.00158923	0.000330774
187	0.00263	0.00241884	0.00021116
188	0.00148	0.00127793	0.00020207
189	0.00184	0.00163114	0.000208864
190	0.00396	0.00341357	0.000546429
191	0.00259	0.00209671	0.000493289
192	0.00292	0.00258525	0.000334747
193	0.00564	0.00786615	-0.00222615
194	0.0039	0.0037882	0.000111795
195	0.00317	0.00267309	0.000496907

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
11	0.0942546	0.188509	0.905745
12	0.043465	0.0869299	0.956535
13	0.0149097	0.0298193	0.98509
14	0.00811205	0.0162241	0.991888
15	0.00385979	0.00771958	0.99614
16	0.016841	0.033682	0.983159
17	0.00736747	0.0147349	0.992633
18	0.109993	0.219986	0.890007
19	0.0741946	0.148389	0.925805
20	0.293723	0.587447	0.706277
21	0.225176	0.450353	0.774824
22	0.198565	0.39713	0.801435
23	0.158166	0.316332	0.841834
24	0.115803	0.231606	0.884197
25	0.0944194	0.188839	0.905581
26	0.0685079	0.137016	0.931492
27	0.0579223	0.115845	0.942078
28	0.0729427	0.145885	0.927057
29	0.106685	0.21337	0.893315
30	0.0800086	0.160017	0.919991
31	0.0574691	0.114938	0.942531
32	0.041307	0.082614	0.958693
33	0.0285501	0.0571002	0.97145
34	0.0203303	0.0406605	0.97967
35	0.0139184	0.0278367	0.986082
36	0.00935273	0.0187055	0.990647
37	0.0066336	0.0132672	0.993366
38	0.00425359	0.00850718	0.995746
39	0.00284479	0.00568959	0.997155
40	0.00182844	0.00365688	0.998172
41	0.00113131	0.00226262	0.998869
42	0.000775617	0.00155123	0.999224
43	0.000467199	0.000934399	0.999533
44	0.000288512	0.000577023	0.999711
45	0.000181658	0.000363317	0.999818
46	0.000110693	0.000221385	0.999889
47	6.6446e-05	0.000132892	0.999934
48	4.26658e-05	8.53316e-05	0.999957
49	0.000976432	0.00195286	0.999024
50	0.00109844	0.00219689	0.998902
51	0.0010461	0.0020922	0.998954
52	0.00153176	0.00306352	0.998468
53	0.00171646	0.00343293	0.998284
54	0.00340538	0.00681076	0.996595
55	0.00303922	0.00607845	0.996961
56	0.00416186	0.00832373	0.995838
57	0.00420833	0.00841666	0.995792
58	0.0034107	0.00682141	0.996589
59	0.00341409	0.00682818	0.996586
60	0.00587689	0.0117538	0.994123
61	0.00611464	0.0122293	0.993885
62	0.00541492	0.0108298	0.994585
63	0.00392842	0.00785683	0.996072
64	0.00322095	0.0064419	0.996779
65	0.00235017	0.00470034	0.99765
66	0.00203623	0.00407246	0.997964
67	0.00441135	0.00882269	0.995589
68	0.0334286	0.0668573	0.966571
69	0.486224	0.972448	0.513776
70	0.495826	0.991653	0.504174
71	0.475843	0.951686	0.524157
72	0.482915	0.96583	0.517085
73	0.450903	0.901806	0.549097
74	0.47391	0.94782	0.52609
75	0.440308	0.880616	0.559692
76	0.413519	0.827038	0.586481
77	0.383917	0.767835	0.616083
78	0.352778	0.705556	0.647222
79	0.33378	0.66756	0.66622
80	0.464455	0.928911	0.535545
81	0.50244	0.995121	0.49756
82	0.4926	0.9852	0.5074
83	0.482042	0.964084	0.517958
84	0.473169	0.946338	0.526831
85	0.461007	0.922014	0.538993
86	0.419736	0.839473	0.580264
87	0.387751	0.775502	0.612249
88	0.357608	0.715215	0.642392
89	0.332285	0.66457	0.667715
90	0.299151	0.598302	0.700849
91	0.324979	0.649959	0.675021
92	0.294877	0.589754	0.705123
93	0.260726	0.521453	0.739274
94	0.245507	0.491015	0.754493
95	0.226374	0.452747	0.773626
96	0.205844	0.411687	0.794156
97	0.181331	0.362663	0.818669
98	0.284386	0.568771	0.715614
99	0.381774	0.763548	0.618226
100	0.381616	0.763232	0.618384
101	0.723679	0.552641	0.276321
102	0.875769	0.248463	0.124231
103	0.947995	0.10401	0.0520052
104	0.939042	0.121915	0.0609577
105	0.928145	0.14371	0.071855
106	0.91721	0.165579	0.0827896
107	0.904417	0.191167	0.0955833
108	0.897072	0.205855	0.102928
109	0.881753	0.236493	0.118247
110	0.869383	0.261233	0.130617
111	0.848596	0.302808	0.151404
112	0.826379	0.347243	0.173621
113	0.820979	0.358041	0.179021
114	0.806224	0.387552	0.193776
115	0.793916	0.412169	0.206084
116	0.849732	0.300536	0.150268
117	0.850261	0.299479	0.149739
118	0.8466	0.306799	0.1534
119	0.870083	0.259834	0.129917
120	0.932485	0.13503	0.0675152
121	0.934185	0.13163	0.0658152
122	0.923638	0.152724	0.076362
123	0.91165	0.176699	0.0883496
124	0.896915	0.20617	0.103085
125	0.889677	0.220646	0.110323
126	0.875902	0.248197	0.124098
127	0.864712	0.270577	0.135288
128	0.840509	0.318981	0.159491
129	0.839594	0.320812	0.160406
130	0.838963	0.322074	0.161037
131	0.828123	0.343755	0.171877
132	0.836577	0.326846	0.163423
133	0.820911	0.358177	0.179089
134	0.800262	0.399476	0.199738
135	0.822756	0.354488	0.177244
136	0.801372	0.397256	0.198628
137	0.78383	0.432339	0.21617
138	0.755757	0.488487	0.244243
139	0.725206	0.549589	0.274794
140	0.685858	0.628284	0.314142
141	0.691087	0.617825	0.308913
142	0.653031	0.693938	0.346969
143	0.611009	0.777983	0.388991
144	0.576141	0.847719	0.423859
145	0.540904	0.918192	0.459096
146	0.568808	0.862385	0.431192
147	0.595727	0.808545	0.404273
148	0.600428	0.799144	0.399572
149	0.601741	0.796518	0.398259
150	0.58239	0.835219	0.41761
151	0.596785	0.80643	0.403215
152	0.736201	0.527598	0.263799
153	0.999992	1.57969e-05	7.89844e-06
154	0.999985	3.04495e-05	1.52248e-05
155	0.99999	2.07133e-05	1.03567e-05
156	0.999986	2.72598e-05	1.36299e-05
157	0.999979	4.19316e-05	2.09658e-05
158	1	1.52329e-07	7.61646e-08
159	1	2.53452e-08	1.26726e-08
160	1	7.18115e-08	3.59058e-08
161	1	2.00052e-07	1.00026e-07
162	1	4.85819e-07	2.4291e-07
163	1	8.36795e-07	4.18397e-07
164	0.999999	1.42567e-06	7.12834e-07
165	1	1.78135e-07	8.90674e-08
166	1	2.7736e-07	1.3868e-07
167	1	8.68776e-07	4.34388e-07
168	0.999999	2.64294e-06	1.32147e-06
169	0.999997	6.6867e-06	3.34335e-06
170	0.999993	1.35232e-05	6.76158e-06
171	0.999981	3.82108e-05	1.91054e-05
172	0.999957	8.6904e-05	4.3452e-05
173	0.99989	0.000220892	0.000110446
174	0.999736	0.000528279	0.00026414
175	0.999331	0.00133702	0.00066851
176	0.998468	0.00306452	0.00153226
177	0.996343	0.00731444	0.00365722
178	0.991649	0.0167022	0.0083511
179	0.981507	0.0369865	0.0184932
180	0.96098	0.0780406	0.0390203
181	0.92245	0.1551	0.0775501
182	0.853815	0.29237	0.146185
183	0.741019	0.517962	0.258981
184	0.636146	0.727709	0.363854

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	53	0.304598	NOK
5% type I error level	66	0.37931	NOK
10% type I error level	71	0.408046	NOK