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 |