Multiple Linear Regression - Estimated Regression Equation

RPDE[t] = + 1.66722 -0.000383168`MDVP:Fo(Hz)`[t] + 2.67839e-05`MDVP:Fhi(Hz)`[t] -8.03503e-05`MDVP:Flo(Hz)`[t] -27.0653`MDVP:Jitter(%)`[t] + 1456.16`MDVP:Jitter(Abs)`[t] + 2472.9`MDVP:RAP`[t] -4.28053`MDVP:PPQ`[t] -816.388`Jitter:DDP`[t] + 2.18612`MDVP:Shimmer`[t] -0.396626`MDVP:Shimmer(dB)`[t] + 665.079`Shimmer:APQ3`[t] -6.00049`Shimmer:APQ5`[t] + 5.43605`MDVP:APQ`[t] -221.074`Shimmer:DDA`[t] -0.215306NHR[t] -0.0180173HNR[t] -0.0296119status[t] -0.494618DFA[t] + 0.027069spread1[t] + 0.401977spread2[t] -0.0931965D2[t] -0.0388331PPE[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)	1.66722	0.154426	10.8	4.48739e-21	2.24369e-21
`MDVP:Fo(Hz)`	-0.000383168	0.000258209	-1.484	0.139653	0.0698265
`MDVP:Fhi(Hz)`	2.67839e-05	5.48353e-05	0.4884	0.625859	0.312929
`MDVP:Flo(Hz)`	-8.03503e-05	0.000138391	-0.5806	0.562269	0.281134
`MDVP:Jitter(%)`	-27.0653	11.4977	-2.354	0.019703	0.00985149
`MDVP:Jitter(Abs)`	1456.16	783.65	1.858	0.0648538	0.0324269
`MDVP:RAP`	2472.9	1583.19	1.562	0.120133	0.0600666
`MDVP:PPQ`	-4.28053	15.1042	-0.2834	0.777211	0.388606
`Jitter:DDP`	-816.388	527.959	-1.546	0.123868	0.0619341
`MDVP:Shimmer`	2.18612	5.86579	0.3727	0.709838	0.354919
`MDVP:Shimmer(dB)`	-0.396626	0.202796	-1.956	0.0521099	0.0260549
`Shimmer:APQ3`	665.079	1532.1	0.4341	0.664762	0.332381
`Shimmer:APQ5`	-6.00049	3.42473	-1.752	0.0815375	0.0407687
`MDVP:APQ`	5.43605	1.81443	2.996	0.00313974	0.00156987
`Shimmer:DDA`	-221.074	510.569	-0.433	0.665561	0.33278
NHR	-0.215306	0.339586	-0.634	0.526906	0.263453
HNR	-0.0180173	0.00203947	-8.834	1.14017e-15	5.70083e-16
status	-0.0296119	0.01283	-2.308	0.022189	0.0110945
DFA	-0.494618	0.120651	-4.1	6.37076e-05	3.18538e-05
spread1	0.027069	0.0166807	1.623	0.10647	0.053235
spread2	0.401977	0.0774719	5.189	5.91254e-07	2.95627e-07
D2	-0.0931965	0.0182051	-5.119	8.14854e-07	4.07427e-07
PPE	-0.0388331	0.236899	-0.1639	0.869985	0.434992

Multiple Linear Regression - Regression Statistics
Multiple R	0.862773
R-squared	0.744377
Adjusted R-squared	0.711681
F-TEST (value)	22.7666
F-TEST (DF numerator)	22
F-TEST (DF denominator)	172
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.0558118
Sum Squared Residuals	0.535774

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	0.414783	0.459231	-0.0444485
2	0.458359	0.462071	-0.00371189
3	0.429895	0.452642	-0.0227467
4	0.434969	0.486817	-0.0518479
5	0.417356	0.43039	-0.0130336
6	0.415564	0.445607	-0.0300426
7	0.59604	0.513179	0.0828612
8	0.63742	0.44425	0.19317
9	0.615551	0.570894	0.0446573
10	0.547037	0.579903	-0.0328657
11	0.611137	0.613894	-0.00275661
12	0.58339	0.568283	0.0151068
13	0.4606	0.46052	8.03428e-05
14	0.430166	0.499967	-0.0698006
15	0.474791	0.487797	-0.0130056
16	0.565924	0.516787	0.0491375
17	0.56738	0.571293	-0.00391271
18	0.631099	0.641604	-0.0105046
19	0.665318	0.627284	0.0380344
20	0.649554	0.657415	-0.00786125
21	0.660125	0.613865	0.0462604
22	0.629017	0.614113	0.0149035
23	0.61906	0.554264	0.0647961
24	0.537264	0.551505	-0.0142407
25	0.397937	0.41259	-0.0146534
26	0.522746	0.505621	0.0171249
27	0.418622	0.411762	0.00686033
28	0.358773	0.425965	-0.0671923
29	0.470478	0.4816	-0.0111221
30	0.427785	0.442924	-0.0151391
31	0.422229	0.405931	0.0162983
32	0.432439	0.291492	0.140947
33	0.465946	0.37386	0.0920859
34	0.368535	0.32939	0.0391452
35	0.340068	0.308045	0.0320229
36	0.344252	0.258238	0.0860141
37	0.360148	0.392476	-0.0323281
38	0.341435	0.360398	-0.0189631
39	0.403884	0.380662	0.0232217
40	0.396793	0.403317	-0.00652354
41	0.32648	0.347692	-0.0212121
42	0.306443	0.284993	0.0214496
43	0.305062	0.403947	-0.0988849
44	0.457702	0.475914	-0.0182124
45	0.438296	0.390966	0.0473302
46	0.431285	0.399423	0.031862
47	0.467489	0.416322	0.051167
48	0.610367	0.432953	0.177414
49	0.579597	0.537673	0.0419242
50	0.538688	0.49068	0.0480081
51	0.553134	0.504902	0.0482321
52	0.507504	0.474138	0.0333657
53	0.459766	0.465312	-0.00554585
54	0.420383	0.454247	-0.0338636
55	0.536009	0.52996	0.00604933
56	0.558586	0.535701	0.0228852
57	0.541781	0.529354	0.0124268
58	0.530529	0.488723	0.0418062
59	0.540049	0.511566	0.0284834
60	0.547975	0.502654	0.0453209
61	0.341788	0.339119	0.00266941
62	0.447979	0.357657	0.0903216
63	0.364867	0.350664	0.0142034
64	0.25657	0.289622	-0.0330523
65	0.27685	0.359351	-0.0825006
66	0.305429	0.36619	-0.0607608
67	0.460139	0.545843	-0.0857038
68	0.498133	0.547194	-0.0490612
69	0.513237	0.520429	-0.00719187
70	0.487407	0.502463	-0.0150557
71	0.489345	0.505396	-0.0160512
72	0.543299	0.551045	-0.00774573
73	0.495954	0.489264	0.00668985
74	0.509127	0.544153	-0.0350261
75	0.437031	0.438118	-0.00108703
76	0.463514	0.531119	-0.067605
77	0.489538	0.54551	-0.0559724
78	0.429484	0.49399	-0.0645057
79	0.644954	0.57887	0.0660845
80	0.594387	0.554047	0.0403397
81	0.544805	0.524598	0.0202068
82	0.576084	0.578049	-0.00196453
83	0.55461	0.510671	0.0439392
84	0.576644	0.45749	0.119154
85	0.556494	0.57165	-0.0151558
86	0.583574	0.549072	0.0345021
87	0.598714	0.605283	-0.00656894
88	0.602874	0.54587	0.0570045
89	0.599371	0.547783	0.051588
90	0.590951	0.572972	0.0179787
91	0.65341	0.608133	0.0452767
92	0.501037	0.484117	0.0169203
93	0.454444	0.480615	-0.0261715
94	0.447456	0.470963	-0.023507
95	0.50238	0.511678	-0.00929802
96	0.447285	0.500995	-0.0537097
97	0.366329	0.466437	-0.100108
98	0.629574	0.653711	-0.0241366
99	0.57101	0.641783	-0.0707726
100	0.638545	0.691352	-0.052807
101	0.671299	0.655607	0.0156919
102	0.639808	0.669196	-0.0293881
103	0.596362	0.617449	-0.0210866
104	0.296888	0.382317	-0.0854293
105	0.263654	0.366951	-0.103297
106	0.365488	0.402868	-0.0373797
107	0.334171	0.367883	-0.0337122
108	0.393563	0.412288	-0.018725
109	0.311369	0.359161	-0.047792
110	0.497554	0.432612	0.0649419
111	0.436084	0.454987	-0.0189029
112	0.338097	0.398161	-0.0600642
113	0.498877	0.455853	0.0430242
114	0.441097	0.422196	0.0189007
115	0.331508	0.380392	-0.0488844
116	0.407701	0.457607	-0.0499064
117	0.450798	0.4425	0.00829775
118	0.486738	0.47806	0.00867789
119	0.470422	0.496161	-0.0257395
120	0.462516	0.501081	-0.0385654
121	0.487756	0.449879	0.0378773
122	0.400088	0.441653	-0.041565
123	0.538016	0.550266	-0.0122503
124	0.589956	0.515716	0.0742404
125	0.618663	0.519637	0.0990262
126	0.637518	0.550517	0.0870009
127	0.623209	0.560265	0.062944
128	0.585169	0.529801	0.0553677
129	0.457541	0.40025	0.057291
130	0.491345	0.44935	0.0419947
131	0.46716	0.444716	0.0224435
132	0.468621	0.429464	0.0391568
133	0.470972	0.500603	-0.0296312
134	0.482296	0.45734	0.0249565
135	0.637814	0.640525	-0.00271133
136	0.653427	0.628115	0.0253117
137	0.6479	0.6647	-0.0168004
138	0.625362	0.629934	-0.00457156
139	0.640945	0.630713	0.0102317
140	0.624811	0.610406	0.0144049
141	0.677131	0.598234	0.0788968
142	0.606344	0.577421	0.0289232
143	0.606273	0.595089	0.0111843
144	0.536102	0.556838	-0.0207362
145	0.49748	0.507153	-0.00967303
146	0.566849	0.596119	-0.0292701
147	0.56161	0.625173	-0.0635632
148	0.478024	0.563497	-0.0854731
149	0.55287	0.559157	-0.0062869
150	0.427627	0.42731	0.000316648
151	0.507826	0.492019	0.0158074
152	0.625866	0.6315	-0.00563403
153	0.584164	0.474632	0.109532
154	0.566867	0.626602	-0.0597346
155	0.65168	0.577559	0.0741207
156	0.6283	0.59572	0.0325795
157	0.611679	0.512801	0.0988783
158	0.630547	0.616478	0.0140688
159	0.635015	0.566537	0.0684781
160	0.654945	0.643424	0.0115212
161	0.653139	0.671885	-0.0187465
162	0.577802	0.599198	-0.0213963
163	0.685151	0.612899	0.0722524
164	0.557045	0.605603	-0.0485579
165	0.671378	0.727636	-0.0562582
166	0.469928	0.464527	0.00540098
167	0.384868	0.475115	-0.0902469
168	0.440988	0.492116	-0.051128
169	0.372222	0.454159	-0.0819367
170	0.371837	0.409068	-0.0372308
171	0.522812	0.475097	0.0477148
172	0.413295	0.450194	-0.0368989
173	0.36909	0.474264	-0.105174
174	0.380253	0.469323	-0.0890703
175	0.387482	0.516456	-0.128974
176	0.405991	0.480993	-0.0750023
177	0.361232	0.437711	-0.0764794
178	0.39661	0.407369	-0.010759
179	0.402591	0.420916	-0.0183255
180	0.398499	0.416332	-0.0178334
181	0.352396	0.440247	-0.0878511
182	0.408598	0.451202	-0.0426044
183	0.329577	0.426014	-0.0964369
184	0.603515	0.59609	0.00742548
185	0.663842	0.624726	0.039116
186	0.598515	0.559931	0.0385839
187	0.566424	0.534162	0.0322621
188	0.528485	0.507362	0.0211231
189	0.555303	0.523126	0.0321768
190	0.508479	0.475658	0.0328211
191	0.448439	0.469333	-0.0208935
192	0.431674	0.455206	-0.0235318
193	0.407567	0.401657	0.00590998
194	0.451221	0.540267	-0.0890464
195	0.462803	0.479914	-0.0171111

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
26	0.768917	0.462167	0.231083
27	0.659457	0.681087	0.340543
28	0.83889	0.322221	0.16111
29	0.819211	0.361577	0.180789
30	0.744855	0.510291	0.255145
31	0.652651	0.694698	0.347349
32	0.647177	0.705647	0.352823
33	0.589879	0.820241	0.410121
34	0.53898	0.922039	0.46102
35	0.493055	0.98611	0.506945
36	0.458026	0.916051	0.541974
37	0.541254	0.917492	0.458746
38	0.484988	0.969975	0.515012
39	0.469605	0.93921	0.530395
40	0.400787	0.801574	0.599213
41	0.330798	0.661596	0.669202
42	0.275062	0.550124	0.724938
43	0.240308	0.480615	0.759692
44	0.218688	0.437375	0.781312
45	0.233025	0.466049	0.766975
46	0.20125	0.4025	0.79875
47	0.201809	0.403617	0.798191
48	0.764205	0.47159	0.235795
49	0.789731	0.420539	0.210269
50	0.769294	0.461411	0.230706
51	0.778906	0.442188	0.221094
52	0.759609	0.480783	0.240391
53	0.723469	0.553062	0.276531
54	0.700875	0.598251	0.299125
55	0.679165	0.64167	0.320835
56	0.644421	0.711158	0.355579
57	0.595713	0.808574	0.404287
58	0.559459	0.881082	0.440541
59	0.519005	0.96199	0.480995
60	0.595056	0.809887	0.404944
61	0.595058	0.809885	0.404942
62	0.677482	0.645037	0.322518
63	0.68399	0.632019	0.31601
64	0.668795	0.662409	0.331205
65	0.758045	0.48391	0.241955
66	0.781033	0.437933	0.218967
67	0.799696	0.400608	0.200304
68	0.784104	0.431792	0.215896
69	0.817639	0.364723	0.182361
70	0.789232	0.421536	0.210768
71	0.764509	0.470982	0.235491
72	0.749028	0.501944	0.250972
73	0.728674	0.542652	0.271326
74	0.687358	0.625284	0.312642
75	0.687676	0.624648	0.312324
76	0.753937	0.492127	0.246063
77	0.738177	0.523646	0.261823
78	0.781966	0.436069	0.218034
79	0.818518	0.362965	0.181482
80	0.827502	0.344996	0.172498
81	0.796805	0.406389	0.203195
82	0.761815	0.47637	0.238185
83	0.751171	0.497658	0.248829
84	0.868671	0.262659	0.131329
85	0.86539	0.26922	0.13461
86	0.868246	0.263507	0.131754
87	0.843096	0.313809	0.156904
88	0.837313	0.325373	0.162687
89	0.843482	0.313037	0.156518
90	0.829625	0.340751	0.170375
91	0.837099	0.325801	0.162901
92	0.826807	0.346387	0.173193
93	0.80046	0.399081	0.19954
94	0.771691	0.456618	0.228309
95	0.735035	0.52993	0.264965
96	0.716041	0.567918	0.283959
97	0.781799	0.436403	0.218201
98	0.789112	0.421776	0.210888
99	0.832498	0.335003	0.167502
100	0.81592	0.36816	0.18408
101	0.844309	0.311382	0.155691
102	0.829892	0.340215	0.170108
103	0.824398	0.351204	0.175602
104	0.876649	0.246703	0.123351
105	0.928429	0.143142	0.0715712
106	0.912433	0.175135	0.0875674
107	0.89699	0.206019	0.10301
108	0.875885	0.248229	0.124115
109	0.868725	0.262551	0.131275
110	0.894537	0.210925	0.105463
111	0.873558	0.252885	0.126442
112	0.884339	0.231322	0.115661
113	0.878622	0.242756	0.121378
114	0.878733	0.242534	0.121267
115	0.87483	0.250341	0.12517
116	0.878407	0.243186	0.121593
117	0.86374	0.272521	0.13626
118	0.842501	0.314999	0.157499
119	0.816078	0.367844	0.183922
120	0.797754	0.404493	0.202246
121	0.79061	0.41878	0.20939
122	0.798686	0.402627	0.201314
123	0.776871	0.446258	0.223129
124	0.791527	0.416947	0.208473
125	0.829361	0.341278	0.170639
126	0.843693	0.312614	0.156307
127	0.861264	0.277472	0.138736
128	0.937924	0.124151	0.0620756
129	0.937352	0.125295	0.0626476
130	0.938348	0.123305	0.0616523
131	0.923033	0.153935	0.0769674
132	0.908005	0.183989	0.0919947
133	0.889214	0.221573	0.110786
134	0.886173	0.227654	0.113827
135	0.889499	0.221002	0.110501
136	0.863458	0.273084	0.136542
137	0.83738	0.32524	0.16262
138	0.802764	0.394473	0.197236
139	0.761349	0.477303	0.238651
140	0.727983	0.544034	0.272017
141	0.82189	0.356219	0.17811
142	0.821604	0.356792	0.178396
143	0.84839	0.303219	0.15161
144	0.81572	0.368559	0.18428
145	0.776213	0.447573	0.223787
146	0.811365	0.37727	0.188635
147	0.773499	0.453002	0.226501
148	0.730404	0.539193	0.269596
149	0.679532	0.640936	0.320468
150	0.633002	0.733996	0.366998
151	0.596972	0.806056	0.403028
152	0.676179	0.647643	0.323821
153	0.780915	0.438171	0.219085
154	0.748808	0.502384	0.251192
155	0.814979	0.370042	0.185021
156	0.86718	0.26564	0.13282
157	0.877065	0.24587	0.122935
158	0.872929	0.254141	0.127071
159	0.829653	0.340693	0.170347
160	0.767359	0.465282	0.232641
161	0.842388	0.315224	0.157612
162	0.800433	0.399134	0.199567
163	0.735513	0.528973	0.264487
164	0.79416	0.411681	0.20584
165	0.854245	0.29151	0.145755
166	0.779126	0.441748	0.220874
167	0.986013	0.0279745	0.0139872
168	0.992579	0.0148414	0.0074207
169	0.988118	0.0237637	0.0118819

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	3	0.0208333	OK
10% type I error level	3	0.0208333	OK