Multiple Linear Regression - Estimated Regression Equation |
CO2-uitstoot[t] = + 108.750000000000 -47.4999999999996Dummy[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) | 108.750000000000 | 19.510276 | 5.574 | 0 | 0 |
Dummy | -47.4999999999996 | 19.735836 | -2.4068 | 0.01714 | 0.00857 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.179494911537252 |
R-squared | 0.0322184232677658 |
Adjusted R-squared | 0.0266564601830978 |
F-TEST (value) | 5.79263522200973 |
F-TEST (DF numerator) | 1 |
F-TEST (DF denominator) | 174 |
p-value | 0.0171398615537401 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 39.0205516141925 |
Sum Squared Residuals | 264933 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 5 | 61.2500000000013 | -56.2500000000013 |
2 | 4 | 61.25 | -57.25 |
3 | 5 | 61.25 | -56.25 |
4 | 6 | 61.25 | -55.25 |
5 | 6 | 61.25 | -55.25 |
6 | 6 | 61.25 | -55.25 |
7 | 7 | 61.25 | -54.25 |
8 | 8 | 61.25 | -53.25 |
9 | 7 | 61.25 | -54.25 |
10 | 8 | 61.25 | -53.25 |
11 | 7 | 61.25 | -54.25 |
12 | 8 | 61.25 | -53.25 |
13 | 8 | 61.25 | -53.25 |
14 | 9 | 61.25 | -52.25 |
15 | 9 | 61.25 | -52.25 |
16 | 8 | 61.25 | -53.25 |
17 | 9 | 61.25 | -52.25 |
18 | 9 | 61.25 | -52.25 |
19 | 10 | 61.25 | -51.25 |
20 | 11 | 61.25 | -50.25 |
21 | 12 | 61.25 | -49.25 |
22 | 13 | 61.25 | -48.25 |
23 | 13 | 61.25 | -48.25 |
24 | 13 | 61.25 | -48.25 |
25 | 14 | 61.25 | -47.25 |
26 | 14 | 61.25 | -47.25 |
27 | 15 | 61.25 | -46.25 |
28 | 15 | 61.25 | -46.25 |
29 | 16 | 61.25 | -45.25 |
30 | 16 | 61.25 | -45.25 |
31 | 17 | 61.25 | -44.25 |
32 | 18 | 61.25 | -43.25 |
33 | 19 | 61.25 | -42.25 |
34 | 20 | 61.25 | -41.25 |
35 | 22 | 61.25 | -39.25 |
36 | 20 | 61.25 | -41.25 |
37 | 22 | 61.25 | -39.25 |
38 | 25 | 61.25 | -36.25 |
39 | 24 | 61.25 | -37.25 |
40 | 25 | 61.25 | -36.25 |
41 | 28 | 61.25 | -33.25 |
42 | 26 | 61.25 | -35.25 |
43 | 27 | 61.25 | -34.25 |
44 | 26 | 61.25 | -35.25 |
45 | 25 | 61.25 | -36.25 |
46 | 27 | 61.25 | -34.25 |
47 | 28 | 61.25 | -33.25 |
48 | 30 | 61.25 | -31.25 |
49 | 31 | 61.25 | -30.25 |
50 | 32 | 61.25 | -29.25 |
51 | 34 | 61.25 | -27.25 |
52 | 34 | 61.25 | -27.25 |
53 | 33 | 61.25 | -28.25 |
54 | 32 | 61.25 | -29.25 |
55 | 34 | 61.25 | -27.25 |
56 | 36 | 61.25 | -25.25 |
57 | 37 | 61.25 | -24.25 |
58 | 40 | 61.25 | -21.25 |
59 | 38 | 61.25 | -23.25 |
60 | 38 | 61.25 | -23.25 |
61 | 36 | 61.25 | -25.25 |
62 | 40 | 61.25 | -21.25 |
63 | 40 | 61.25 | -21.25 |
64 | 42 | 61.25 | -19.25 |
65 | 44 | 61.25 | -17.25 |
66 | 45 | 61.25 | -16.25 |
67 | 47 | 61.25 | -14.25 |
68 | 49 | 61.25 | -12.2500000000000 |
69 | 47 | 61.25 | -14.25 |
70 | 49 | 61.25 | -12.2500000000000 |
71 | 52 | 61.25 | -9.24999999999999 |
72 | 50 | 61.25 | -11.2500000000000 |
73 | 50 | 61.25 | -11.2500000000000 |
74 | 57 | 61.25 | -4.24999999999999 |
75 | 58 | 61.25 | -3.24999999999999 |
76 | 58 | 61.25 | -3.24999999999999 |
77 | 58 | 61.25 | -3.24999999999999 |
78 | 61 | 61.25 | -0.249999999999987 |
79 | 61 | 61.25 | -0.249999999999987 |
80 | 64 | 61.25 | 2.75000000000001 |
81 | 68 | 61.25 | 6.75000000000001 |
82 | 40 | 61.25 | -21.25 |
83 | 34 | 61.25 | -27.25 |
84 | 46 | 61.25 | -15.25 |
85 | 36 | 61.25 | -25.25 |
86 | 34 | 61.25 | -27.25 |
87 | 45 | 61.25 | -16.25 |
88 | 55 | 61.25 | -6.24999999999999 |
89 | 50 | 61.25 | -11.2500000000000 |
90 | 56 | 61.25 | -5.24999999999999 |
91 | 72 | 61.25 | 10.7500000000000 |
92 | 76 | 61.25 | 14.75 |
93 | 78 | 61.25 | 16.75 |
94 | 77 | 61.25 | 15.75 |
95 | 90 | 61.25 | 28.75 |
96 | 88 | 61.25 | 26.75 |
97 | 97 | 61.25 | 35.75 |
98 | 93 | 61.25 | 31.75 |
99 | 84 | 61.25 | 22.75 |
100 | 67 | 61.25 | 5.75000000000001 |
101 | 72 | 61.25 | 10.7500000000000 |
102 | 75 | 61.25 | 13.75 |
103 | 71 | 61.25 | 9.75000000000001 |
104 | 75 | 61.25 | 13.75 |
105 | 90 | 61.25 | 28.75 |
106 | 78 | 61.25 | 16.75 |
107 | 73 | 61.25 | 11.75 |
108 | 62 | 61.25 | 0.750000000000012 |
109 | 65 | 61.25 | 3.75000000000001 |
110 | 61 | 61.25 | -0.249999999999987 |
111 | 58 | 61.25 | -3.24999999999999 |
112 | 33 | 61.25 | -28.25 |
113 | 39 | 61.25 | -22.25 |
114 | 56 | 61.25 | -5.24999999999999 |
115 | 79 | 61.25 | 17.75 |
116 | 82 | 61.25 | 20.75 |
117 | 79 | 61.25 | 17.75 |
118 | 73 | 61.25 | 11.75 |
119 | 87 | 61.25 | 25.75 |
120 | 85 | 61.25 | 23.75 |
121 | 83 | 61.25 | 21.75 |
122 | 82 | 61.25 | 20.75 |
123 | 83 | 61.25 | 21.75 |
124 | 92 | 61.25 | 30.75 |
125 | 95 | 61.25 | 33.75 |
126 | 97 | 61.25 | 35.75 |
127 | 87 | 61.25 | 25.75 |
128 | 84 | 61.25 | 22.75 |
129 | 84 | 61.25 | 22.75 |
130 | 89 | 61.25 | 27.75 |
131 | 103 | 61.25 | 41.75 |
132 | 106 | 61.25 | 44.75 |
133 | 109 | 61.25 | 47.75 |
134 | 106 | 61.25 | 44.75 |
135 | 105 | 61.25 | 43.75 |
136 | 115 | 61.25 | 53.75 |
137 | 120 | 61.25 | 58.75 |
138 | 124 | 61.25 | 62.75 |
139 | 121 | 61.25 | 59.75 |
140 | 131 | 61.25 | 69.75 |
141 | 139 | 61.25 | 77.75 |
142 | 133 | 61.25 | 71.75 |
143 | 119 | 61.25 | 57.75 |
144 | 123 | 61.25 | 61.75 |
145 | 120 | 61.25 | 58.75 |
146 | 128 | 61.25 | 66.75 |
147 | 134 | 61.25 | 72.75 |
148 | 126 | 61.25 | 64.75 |
149 | 115 | 61.25 | 53.75 |
150 | 106 | 61.25 | 44.75 |
151 | 99 | 61.25 | 37.75 |
152 | 100 | 61.25 | 38.75 |
153 | 99 | 61.25 | 37.75 |
154 | 99 | 61.25 | 37.75 |
155 | 100 | 61.25 | 38.75 |
156 | 100 | 61.25 | 38.75 |
157 | 108 | 61.25 | 46.75 |
158 | 109 | 61.25 | 47.75 |
159 | 115 | 61.25 | 53.75 |
160 | 114 | 61.25 | 52.75 |
161 | 108 | 61.25 | 46.75 |
162 | 113 | 61.25 | 51.75 |
163 | 118 | 61.25 | 56.75 |
164 | 122 | 61.25 | 60.75 |
165 | 118 | 61.25 | 56.75 |
166 | 121 | 61.25 | 59.75 |
167 | 118 | 61.25 | 56.75 |
168 | 121 | 61.25 | 59.75 |
169 | 121 | 61.25 | 59.75 |
170 | 112 | 61.25 | 50.75 |
171 | 119 | 61.25 | 57.75 |
172 | 116 | 61.25 | 54.75 |
173 | 110 | 108.750000000000 | 1.25000000000035 |
174 | 111 | 108.750000000000 | 2.25000000000035 |
175 | 106 | 108.750000000000 | -2.74999999999965 |
176 | 108 | 108.750000000000 | -0.749999999999654 |
Goldfeld-Quandt test for Heteroskedasticity | |||
p-values | Alternative Hypothesis | ||
breakpoint index | greater | 2-sided | less |
5 | 2.21515374435362e-05 | 4.43030748870724e-05 | 0.999977848462556 |
6 | 6.57679846073014e-07 | 1.31535969214603e-06 | 0.999999342320154 |
7 | 5.28665283840725e-08 | 1.05733056768145e-07 | 0.999999947133472 |
8 | 9.2552174220246e-09 | 1.85104348440492e-08 | 0.999999990744783 |
9 | 4.32125950972923e-10 | 8.64251901945846e-10 | 0.999999999567874 |
10 | 4.06797294499577e-11 | 8.13594588999154e-11 | 0.99999999995932 |
11 | 1.73165959924573e-12 | 3.46331919849146e-12 | 0.999999999998268 |
12 | 1.33580949459035e-13 | 2.6716189891807e-13 | 0.999999999999866 |
13 | 9.3254265079507e-15 | 1.86508530159014e-14 | 0.99999999999999 |
14 | 1.45122719679986e-15 | 2.90245439359972e-15 | 0.999999999999999 |
15 | 1.78968072354009e-16 | 3.57936144708018e-16 | 1 |
16 | 1.03623208263145e-17 | 2.07246416526291e-17 | 1 |
17 | 1.08900305901702e-18 | 2.17800611803405e-18 | 1 |
18 | 1.05451795687361e-19 | 2.10903591374723e-19 | 1 |
19 | 2.17132290648130e-20 | 4.34264581296260e-20 | 1 |
20 | 9.39846507534834e-21 | 1.87969301506967e-20 | 1 |
21 | 7.22398483383618e-21 | 1.44479696676724e-20 | 1 |
22 | 8.11307871163928e-21 | 1.62261574232786e-20 | 1 |
23 | 5.11921906194582e-21 | 1.02384381238916e-20 | 1 |
24 | 2.32749031594420e-21 | 4.65498063188839e-21 | 1 |
25 | 1.60008941994935e-21 | 3.20017883989869e-21 | 1 |
26 | 8.28786280260547e-22 | 1.65757256052109e-21 | 1 |
27 | 6.1790746375843e-22 | 1.23581492751686e-21 | 1 |
28 | 3.59970128628876e-22 | 7.19940257257751e-22 | 1 |
29 | 2.90520461862356e-22 | 5.81040923724712e-22 | 1 |
30 | 1.88762325740179e-22 | 3.77524651480358e-22 | 1 |
31 | 1.64790922930060e-22 | 3.29581845860119e-22 | 1 |
32 | 1.85259380913129e-22 | 3.70518761826258e-22 | 1 |
33 | 2.56696060002164e-22 | 5.13392120004328e-22 | 1 |
34 | 4.21000610075682e-22 | 8.42001220151364e-22 | 1 |
35 | 1.21628420903586e-21 | 2.43256841807172e-21 | 1 |
36 | 1.16692001928720e-21 | 2.33384003857440e-21 | 1 |
37 | 1.91949672135533e-21 | 3.83899344271067e-21 | 1 |
38 | 7.4382572825094e-21 | 1.48765145650188e-20 | 1 |
39 | 1.40429100460229e-20 | 2.80858200920457e-20 | 1 |
40 | 2.90870497471626e-20 | 5.81740994943252e-20 | 1 |
41 | 1.19776980268728e-19 | 2.39553960537456e-19 | 1 |
42 | 2.05419851298607e-19 | 4.10839702597213e-19 | 1 |
43 | 3.87921632389118e-19 | 7.75843264778237e-19 | 1 |
44 | 5.1294048585935e-19 | 1.0258809717187e-18 | 1 |
45 | 5.24576013100672e-19 | 1.04915202620134e-18 | 1 |
46 | 7.42006165874424e-19 | 1.48401233174885e-18 | 1 |
47 | 1.18038529429858e-18 | 2.36077058859716e-18 | 1 |
48 | 2.54537298537122e-18 | 5.09074597074245e-18 | 1 |
49 | 5.90258607341175e-18 | 1.18051721468235e-17 | 1 |
50 | 1.45678024048871e-17 | 2.91356048097742e-17 | 1 |
51 | 4.57837499770713e-17 | 9.15674999541427e-17 | 1 |
52 | 1.22160299254624e-16 | 2.44320598509247e-16 | 1 |
53 | 2.46369430264126e-16 | 4.92738860528251e-16 | 1 |
54 | 4.046766765073e-16 | 8.093533530146e-16 | 1 |
55 | 8.30018523542417e-16 | 1.66003704708483e-15 | 1 |
56 | 2.09603731219791e-15 | 4.19207462439582e-15 | 0.999999999999998 |
57 | 5.53340347328189e-15 | 1.10668069465638e-14 | 0.999999999999994 |
58 | 2.00590496250471e-14 | 4.01180992500942e-14 | 0.99999999999998 |
59 | 4.87868414019478e-14 | 9.75736828038955e-14 | 0.999999999999951 |
60 | 1.10526351011024e-13 | 2.21052702022048e-13 | 0.99999999999989 |
61 | 1.96566028145473e-13 | 3.93132056290947e-13 | 0.999999999999803 |
62 | 5.00843799090325e-13 | 1.00168759818065e-12 | 0.9999999999995 |
63 | 1.19512967999511e-12 | 2.39025935999021e-12 | 0.999999999998805 |
64 | 3.26621351701694e-12 | 6.53242703403388e-12 | 0.999999999996734 |
65 | 1.00384910971045e-11 | 2.0076982194209e-11 | 0.999999999989962 |
66 | 3.08350311643699e-11 | 6.16700623287398e-11 | 0.999999999969165 |
67 | 1.03281140911377e-10 | 2.06562281822753e-10 | 0.999999999896719 |
68 | 3.69166656072939e-10 | 7.38333312145877e-10 | 0.999999999630833 |
69 | 9.93017440700323e-10 | 1.98603488140065e-09 | 0.999999999006983 |
70 | 2.86345554774254e-09 | 5.72691109548508e-09 | 0.999999997136545 |
71 | 9.37493082252903e-09 | 1.87498616450581e-08 | 0.999999990625069 |
72 | 2.39569929837117e-08 | 4.79139859674235e-08 | 0.999999976043007 |
73 | 5.71408412039269e-08 | 1.14281682407854e-07 | 0.999999942859159 |
74 | 1.94600739194468e-07 | 3.89201478388936e-07 | 0.99999980539926 |
75 | 6.10386959143069e-07 | 1.22077391828614e-06 | 0.99999938961304 |
76 | 1.67565952450866e-06 | 3.35131904901732e-06 | 0.999998324340476 |
77 | 4.12247700287878e-06 | 8.24495400575757e-06 | 0.999995877522997 |
78 | 1.06133542880592e-05 | 2.12267085761184e-05 | 0.999989386645712 |
79 | 2.44746861810533e-05 | 4.89493723621066e-05 | 0.99997552531382 |
80 | 5.8052945137189e-05 | 0.000116105890274378 | 0.999941947054863 |
81 | 0.000145400174204447 | 0.000290800348408895 | 0.999854599825795 |
82 | 0.000214291550964192 | 0.000428583101928385 | 0.999785708449036 |
83 | 0.000366725346144124 | 0.000733450692288248 | 0.999633274653856 |
84 | 0.000561375888565755 | 0.00112275177713151 | 0.999438624111434 |
85 | 0.00101280766585171 | 0.00202561533170341 | 0.998987192334148 |
86 | 0.00203893974340069 | 0.00407787948680137 | 0.9979610602566 |
87 | 0.00349362041610453 | 0.00698724083220906 | 0.996506379583896 |
88 | 0.00585235420922787 | 0.0117047084184557 | 0.994147645790772 |
89 | 0.00980835938368469 | 0.0196167187673694 | 0.990191640616315 |
90 | 0.0161400588469416 | 0.0322801176938832 | 0.983859941153058 |
91 | 0.0298031331990613 | 0.0596062663981226 | 0.970196866800939 |
92 | 0.0531043069577585 | 0.106208613915517 | 0.946895693042241 |
93 | 0.0875088870510508 | 0.175017774102102 | 0.91249111294895 |
94 | 0.129240591677241 | 0.258481183354481 | 0.87075940832276 |
95 | 0.21025934587545 | 0.4205186917509 | 0.78974065412455 |
96 | 0.292695101140985 | 0.585390202281969 | 0.707304898859015 |
97 | 0.412202198773495 | 0.824404397546989 | 0.587797801226505 |
98 | 0.505356138330019 | 0.989287723339962 | 0.494643861669981 |
99 | 0.56093254604404 | 0.87813490791192 | 0.43906745395596 |
100 | 0.600009131553663 | 0.799981736892674 | 0.399990868446337 |
101 | 0.636162495858386 | 0.727675008283229 | 0.363837504141614 |
102 | 0.670217136354961 | 0.659565727290078 | 0.329782863645039 |
103 | 0.702725261747504 | 0.594549476504993 | 0.297274738252496 |
104 | 0.732067658921743 | 0.535864682156513 | 0.267932341078257 |
105 | 0.768970778512557 | 0.462058442974885 | 0.231029221487443 |
106 | 0.7909063194266 | 0.418187361146802 | 0.209093680573401 |
107 | 0.81247115862623 | 0.375057682747541 | 0.187528841373770 |
108 | 0.846492910464911 | 0.307014179070178 | 0.153507089535089 |
109 | 0.874293579145106 | 0.251412841709787 | 0.125706420854894 |
110 | 0.906095166375592 | 0.187809667248816 | 0.0939048336244078 |
111 | 0.938193224405907 | 0.123613551188186 | 0.0618067755940932 |
112 | 0.989028191692501 | 0.0219436166149978 | 0.0109718083074989 |
113 | 0.998942444450507 | 0.00211511109898566 | 0.00105755554949283 |
114 | 0.999826947237963 | 0.000346105524074244 | 0.000173052762037122 |
115 | 0.999913040961887 | 0.000173918076224945 | 8.69590381124727e-05 |
116 | 0.999953478560975 | 9.3042878049021e-05 | 4.65214390245105e-05 |
117 | 0.999979474740173 | 4.10505196545407e-05 | 2.05252598272704e-05 |
118 | 0.999994759337411 | 1.04813251776211e-05 | 5.24066258881055e-06 |
119 | 0.999997185555284 | 5.62888943094964e-06 | 2.81444471547482e-06 |
120 | 0.999998684906054 | 2.63018789101220e-06 | 1.31509394550610e-06 |
121 | 0.99999950213906 | 9.95721879213316e-07 | 4.97860939606658e-07 |
122 | 0.99999984834229 | 3.0331541980334e-07 | 1.5165770990167e-07 |
123 | 0.999999957614864 | 8.4770271149888e-08 | 4.2385135574944e-08 |
124 | 0.999999977620547 | 4.47589067030498e-08 | 2.23794533515249e-08 |
125 | 0.999999985996353 | 2.80072946716819e-08 | 1.40036473358409e-08 |
126 | 0.999999990177621 | 1.96447575885374e-08 | 9.8223787942687e-09 |
127 | 0.99999999711756 | 5.76487897224073e-09 | 2.88243948612037e-09 |
128 | 0.999999999570982 | 8.58036511488627e-10 | 4.29018255744314e-10 |
129 | 0.999999999961213 | 7.75749938838031e-11 | 3.87874969419015e-11 |
130 | 0.999999999994663 | 1.06737009186413e-11 | 5.33685045932067e-12 |
131 | 0.999999999995684 | 8.63120749831982e-12 | 4.31560374915991e-12 |
132 | 0.999999999995544 | 8.91154924579267e-12 | 4.45577462289634e-12 |
133 | 0.999999999994433 | 1.11345943286651e-11 | 5.56729716433256e-12 |
134 | 0.999999999993804 | 1.23912278095893e-11 | 6.19561390479466e-12 |
135 | 0.999999999993462 | 1.30752742613853e-11 | 6.53763713069263e-12 |
136 | 0.999999999989688 | 2.06247294420310e-11 | 1.03123647210155e-11 |
137 | 0.999999999985081 | 2.98369641058637e-11 | 1.49184820529318e-11 |
138 | 0.999999999982464 | 3.50716688248063e-11 | 1.75358344124031e-11 |
139 | 0.999999999973066 | 5.38690588169696e-11 | 2.69345294084848e-11 |
140 | 0.999999999984386 | 3.12287842639898e-11 | 1.56143921319949e-11 |
141 | 0.999999999998344 | 3.31265670952792e-12 | 1.65632835476396e-12 |
142 | 0.9999999999995 | 1.00151060402466e-12 | 5.00755302012328e-13 |
143 | 0.999999999998903 | 2.19380248220309e-12 | 1.09690124110155e-12 |
144 | 0.999999999998299 | 3.40269301240709e-12 | 1.70134650620354e-12 |
145 | 0.999999999996398 | 7.20502932898122e-12 | 3.60251466449061e-12 |
146 | 0.999999999997363 | 5.27389055984386e-12 | 2.63694527992193e-12 |
147 | 0.999999999999661 | 6.77757149127059e-13 | 3.38878574563529e-13 |
148 | 0.999999999999768 | 4.64010339395512e-13 | 2.32005169697756e-13 |
149 | 0.999999999999214 | 1.57273683061881e-12 | 7.86368415309403e-13 |
150 | 0.99999999999741 | 5.17814238580329e-12 | 2.58907119290164e-12 |
151 | 0.999999999996792 | 6.41614922562455e-12 | 3.20807461281228e-12 |
152 | 0.999999999995911 | 8.17696536718644e-12 | 4.08848268359322e-12 |
153 | 0.999999999996773 | 6.45411703992099e-12 | 3.22705851996050e-12 |
154 | 0.999999999998409 | 3.18277663782822e-12 | 1.59138831891411e-12 |
155 | 0.999999999999479 | 1.04170206653072e-12 | 5.20851033265358e-13 |
156 | 0.999999999999964 | 7.13894103647753e-14 | 3.56947051823876e-14 |
157 | 0.99999999999995 | 9.89403131971075e-14 | 4.94701565985537e-14 |
158 | 0.99999999999993 | 1.4066873748133e-13 | 7.0334368740665e-14 |
159 | 0.999999999999444 | 1.11246427117080e-12 | 5.56232135585401e-13 |
160 | 0.999999999996355 | 7.29012358115776e-12 | 3.64506179057888e-12 |
161 | 0.999999999999119 | 1.76279830234039e-12 | 8.81399151170196e-13 |
162 | 0.999999999997869 | 4.2622871731719e-12 | 2.13114358658595e-12 |
163 | 0.999999999973663 | 5.26738543735646e-11 | 2.63369271867823e-11 |
164 | 0.999999999840905 | 3.18189308518936e-10 | 1.59094654259468e-10 |
165 | 0.999999997964574 | 4.07085303369621e-09 | 2.03542651684810e-09 |
166 | 0.9999999838497 | 3.23006002549004e-08 | 1.61503001274502e-08 |
167 | 0.999999797620107 | 4.04759785781145e-07 | 2.02379892890573e-07 |
168 | 0.999998639892827 | 2.72021434644747e-06 | 1.36010717322374e-06 |
169 | 0.999994279510577 | 1.14409788451142e-05 | 5.72048942255708e-06 |
170 | 0.999980288601388 | 3.94227972238932e-05 | 1.97113986119466e-05 |
171 | 0.99975266597555 | 0.000494668048901318 | 0.000247334024450659 |
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
Description | # significant tests | % significant tests | OK/NOK |
1% type I error level | 142 | 0.850299401197605 | NOK |
5% type I error level | 146 | 0.874251497005988 | NOK |
10% type I error level | 147 | 0.880239520958084 | NOK |