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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 15 Dec 2014 12:40:29 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/15/t1418647274lrgit2zco1ljfyg.htm/, Retrieved Thu, 16 May 2024 14:48:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268262, Retrieved Thu, 16 May 2024 14:48:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact52

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
149 26 50
139 57 62
148 37 54
158 67 71
128 43 54
224 52 65
159 52 73
105 43 52
159 84 84
167 67 42
165 49 66
159 70 65
119 52 78
176 58 73
54 68 75
91 62 72
163 43 66
124 56 70
137 56 61
121 74 81
153 65 71
148 63 69
221 58 71
188 57 72
149 63 68
244 53 70
148 57 68
92 51 61
150 64 67
153 53 76
94 29 70
156 54 60
132 58 72
161 43 69
105 51 71
97 53 62
151 54 70
131 56 64
166 61 58
157 47 76
111 39 52
145 48 59
162 50 68
163 35 76
59 30 65
187 68 67
109 49 59
90 61 69
105 67 76
83 47 63
116 56 75
42 50 63
148 43 60
155 67 73
125 62 63
116 57 70
128 41 75
138 54 66
49 45 63
96 48 63
164 61 64
162 56 70
99 41 75
202 43 61
186 53 60
66 44 62
183 66 73
214 58 61
188 46 66
104 37 64
177 51 59
126 51 64
76 56 60
99 66 56
139 37 78
78 59 53
162 42 67
108 38 59
159 66 66
74 34 68
110 53 71
96 49 66
116 55 73
87 49 72
97 59 71
127 40 59
106 58 64
80 60 66
74 63 78
91 56 68
133 54 73
74 52 62
114 34 65
140 69 68
95 32 65
98 48 60
121 67 71
126 58 65
98 57 68
95 42 64
110 64 74
70 58 69
102 66 76
86 26 68
130 61 72
96 52 67
102 51 63
100 55 59
94 50 73
52 60 66
98 56 62
118 63 69
99 61 66
48 52 51
50 16 56
150 46 67
154 56 69
109 52 57
68 55 56
194 50 55
158 59 63
159 60 67
67 52 65
147 44 47
39 67 76
100 52 64
111 55 68
138 37 64
101 54 65
131 72 71
101 51 63
114 48 60
165 60 68
114 50 72
111 63 70
75 33 61
82 67 61
121 46 62
32 54 71
150 59 71
117 61 51
71 33 56
165 47 70
154 69 73
126 52 76
149 55 68
145 41 48
120 73 52
109 52 60
132 50 59
172 51 57
169 60 79
114 56 60
156 56 60
172 29 59
68 66 62
89 66 59
167 73 61
113 55 71
115 64 57
78 40 66
118 46 63
87 58 69
173 43 58
2 61 59
162 51 48
49 50 66
122 52 73
96 54 67
100 66 61
82 61 68
100 80 75
115 51 62
141 56 69
165 56 58
165 56 60
110 53 74
118 47 55
158 25 62
146 47 63
49 46 69
90 50 58
121 39 58
155 51 68
104 58 72
147 35 62
110 58 62
108 60 65
113 62 69
115 63 66
61 53 72
60 46 62
109 67 75
68 59 58
111 64 66
77 38 55
73 50 47
151 48 72
89 48 62
78 47 64
110 66 64
220 47 19
65 63 50
141 58 68
117 44 70
122 51 79
63 43 69
44 55 71
52 38 48
131 45 73
101 50 74
42 54 66
152 57 71
107 60 74
77 55 78
154 56 75
103 49 53
96 37 60
175 59 70
57 46 69
112 51 65
143 58 78
49 64 78
110 53 59
131 48 72
167 51 70
56 47 63
137 59 63
86 62 71
121 62 74
149 51 67
168 64 66
140 52 62
88 67 80
168 50 73
94 54 67
51 58 61
48 56 73
145 63 74
66 31 32
85 65 69
109 71 69
63 50 84
102 57 64
162 47 58
86 47 59
114 57 78
164 43 57
119 41 60
126 63 68
132 63 68
142 56 73
83 51 69
94 50 67
81 22 60
166 41 65
110 59 66
64 56 74
93 66 81
104 53 72
105 42 55
49 52 49
88 54 74
95 44 53
102 62 64
99 53 65
63 50 57
76 36 51
109 76 80
117 66 67
57 62 70
120 59 74
73 47 75
91 55 70
108 58 69
105 60 65
117 44 55
119 57 71
31 45 65

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time13 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 13 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268262&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]13 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268262&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268262&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time13 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 106.535 + 0.344294AMS.I[t] -0.130897AMS.E[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
LFM[t] =  +  106.535 +  0.344294AMS.I[t] -0.130897AMS.E[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268262&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]LFM[t] =  +  106.535 +  0.344294AMS.I[t] -0.130897AMS.E[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268262&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268262&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 106.535 + 0.344294AMS.I[t] -0.130897AMS.E[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)106.53520.24985.2612.87832e-071.43916e-07
AMS.I0.3442940.2472691.3920.1649260.0824628
AMS.E-0.1308970.311506-0.42020.6746630.337331

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 106.535 & 20.2498 & 5.261 & 2.87832e-07 & 1.43916e-07 \tabularnewline
AMS.I & 0.344294 & 0.247269 & 1.392 & 0.164926 & 0.0824628 \tabularnewline
AMS.E & -0.130897 & 0.311506 & -0.4202 & 0.674663 & 0.337331 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268262&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]106.535[/C][C]20.2498[/C][C]5.261[/C][C]2.87832e-07[/C][C]1.43916e-07[/C][/ROW]
[ROW][C]AMS.I[/C][C]0.344294[/C][C]0.247269[/C][C]1.392[/C][C]0.164926[/C][C]0.0824628[/C][/ROW]
[ROW][C]AMS.E[/C][C]-0.130897[/C][C]0.311506[/C][C]-0.4202[/C][C]0.674663[/C][C]0.337331[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268262&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268262&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)106.53520.24985.2612.87832e-071.43916e-07
AMS.I0.3442940.2472691.3920.1649260.0824628
AMS.E-0.1308970.311506-0.42020.6746630.337331






Multiple Linear Regression - Regression Statistics
Multiple R0.0836056
R-squared0.00698989
Adjusted R-squared-0.000205835
F-TEST (value)0.971395
F-TEST (DF numerator)2
F-TEST (DF denominator)276
p-value0.379845
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation39.8332
Sum Squared Residuals437924

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.0836056 \tabularnewline
R-squared & 0.00698989 \tabularnewline
Adjusted R-squared & -0.000205835 \tabularnewline
F-TEST (value) & 0.971395 \tabularnewline
F-TEST (DF numerator) & 2 \tabularnewline
F-TEST (DF denominator) & 276 \tabularnewline
p-value & 0.379845 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 39.8332 \tabularnewline
Sum Squared Residuals & 437924 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268262&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.0836056[/C][/ROW]
[ROW][C]R-squared[/C][C]0.00698989[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]-0.000205835[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]0.971395[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]2[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]276[/C][/ROW]
[ROW][C]p-value[/C][C]0.379845[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]39.8332[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]437924[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268262&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268262&T=3

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Regression Statistics
Multiple R0.0836056
R-squared0.00698989
Adjusted R-squared-0.000205835
F-TEST (value)0.971395
F-TEST (DF numerator)2
F-TEST (DF denominator)276
p-value0.379845
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation39.8332
Sum Squared Residuals437924






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1149108.94240.0582
2139118.04420.9558
3148112.20535.7945
4158120.30937.6909
5128114.27113.7288
6224115.93108.07
7159114.88344.1171
8105114.533-9.53303
9159124.4634.5396
10167124.10542.8949
11165114.76650.2338
12159122.12736.8727
13119114.2284.77163
14176116.94959.0514
1554120.13-66.1298
1691118.457-27.4567
17163112.750.2995
18124116.6537.34728
19137117.83119.1692
20121121.41-0.410163
21153119.6233.3795
22148119.19428.8063
23221117.21103.79
24188116.73571.2648
25149119.32529.6754
26244115.62128.38
27148117.25930.7412
2892116.109-24.1093
29150119.830.2002
30153114.83438.1655
3194107.357-13.3568
32156117.27338.7269
33132117.0814.9205
34161112.30848.6922
35105114.8-9.80036
3697116.667-19.667
37151115.96435.0359
38131117.43813.5619
39166119.94546.055
40157112.76944.2313
41111113.156-2.15586
42145115.33829.6618
43162114.84947.1512
44163108.63754.3628
4559108.356-49.3556
46187121.17765.8231
47109115.683-6.68253
4890118.505-28.5051
49105119.655-14.6546
5083114.47-31.4704
51116115.9980.00175823
5242115.503-73.5032
53148113.48634.5141
54155120.04734.9527
55125119.6355.36523
56116116.997-0.997019
57128110.83417.1662
58138116.48821.5123
5949113.782-64.7818
6096114.815-18.8146
61164119.1644.8404
62162116.65345.3473
6399110.834-11.8338
64202113.35588.645
65186116.92969.0712
6666113.568-47.5684
67183119.70363.297
68214118.51995.4806
69188113.73374.2666
70104110.897-6.89651
71177116.37160.6289
72126115.71710.2834
7376117.962-41.9617
7499121.928-22.9282
75139109.06429.936
7678119.911-41.9108
77162112.22549.7747
78108111.895-3.89529
79159120.61938.3807
8074109.34-35.34
81110115.489-5.48894
8296114.766-18.7662
83116115.9160.0842596
8487113.981-26.9809
8597117.555-20.5547
86127112.58414.4161
87106118.127-12.1267
8880118.553-38.5535
8974118.016-44.0156
9091116.915-25.9145
91133115.57117.4286
9274116.323-42.3227
93114109.7334.26727
94140121.3918.6097
9595109.044-14.0441
9698115.207-17.2073
97121120.3090.690933
98126117.9968.0042
9998117.259-19.2588
10095112.618-17.618
101110118.883-8.88349
10270117.472-47.4722
103102119.31-17.3103
10486106.586-20.5857
105130118.11211.8876
10696115.668-19.6682
107102115.848-13.8475
108100117.748-17.7483
10994114.194-20.1943
11052118.553-66.5535
11198117.7-19.6999
112118119.194-1.19368
11399118.898-19.8978
11448117.763-69.7626
11550104.713-54.7135
116150113.60236.3975
117154116.78437.2164
118109116.977-7.9772
11968118.141-50.141
120194116.5577.4496
121158118.60239.3981
122159118.42340.5774
12367115.93-48.93
124147115.53231.4682
12539119.655-80.6546
126100116.061-16.0609
127111116.57-5.57022
128138110.89727.1035
129101116.619-15.6186
130131122.0318.96946
131101115.848-14.8475
132114115.207-1.20733
133165118.29246.7083
134114114.325-0.325165
135111119.063-8.06279
13675109.912-34.912
13782121.618-39.618
138121114.2576.74305
13932115.833-83.8332
140150117.55532.4453
141117120.861-3.86123
14271110.567-39.5665
143165113.55451.4459
144154120.73633.2641
145126114.4911.5098
146149116.5732.4298
147145114.36830.632
148120124.862-4.86187
149109116.585-7.58451
150132116.02715.9732
151172116.63355.3671
152169116.85252.1482
153114117.962-3.96169
154156117.96238.0383
155172108.79763.2034
15668121.143-53.1428
15789121.536-32.5355
158167123.68443.3162
159113116.178-3.17753
160115121.109-6.10874
16178111.668-33.6676
162118114.1263.87394
16387117.472-30.4722
164173113.74859.2523
1652119.814-117.814
166162117.81144.189
16749115.111-66.1105
168122114.8837.11714
16996116.357-20.3568
170100121.274-21.2737
17182118.636-36.636
172100124.261-24.2613
173115115.978-0.978425
174141116.78424.2164
175165118.22346.7765
176165117.96247.0383
177110115.096-5.09625
178118115.5182.48248
179158107.02750.9732
180146114.4731.5296
18149113.341-64.3407
18290116.158-26.1577
183121112.378.62952
184155115.19339.807
185104117.08-13.0795
186147110.4736.5303
187110118.388-8.38849
188108118.684-10.6844
189113118.849-5.84939
190115119.586-4.58637
19161115.358-54.358
19260114.257-54.257
193109119.785-10.7855
19468119.256-51.2564
195111119.931-8.93067
19677112.419-35.4189
19773117.598-44.5976
198151113.63737.3634
19989114.946-25.9455
20078114.339-36.3395
201110120.881-10.881
202220120.2399.7702
20365121.681-56.6807
204141117.60323.3969
205117112.5214.47881
206122113.7538.24682
20763112.308-49.3078
20844116.178-72.1775
20952113.335-61.3351
210131112.47318.5272
211101114.063-13.0634
21242116.488-74.4877
213152116.86635.1339
214107117.506-10.5063
21577115.261-38.2613
216154115.99838.0018
217103116.468-13.4679
21896111.42-15.4201
219175117.68657.3144
22057113.341-56.3407
221112115.586-3.58573
222143116.29426.7059
22349118.36-69.3599
224110117.06-7.0597
225131113.63717.3634
226167114.93152.0687
22756114.47-58.4704
228137118.60218.3981
22986118.588-32.5876
230121118.1952.80509
231149115.32433.6761
232168119.93148.0693
233140116.32323.6773
23488119.131-31.131
235168114.19453.8057
23694116.357-22.3568
23751118.519-67.5194
23848116.26-68.26
239145118.53926.4608
24066113.019-47.0194
24185119.882-34.8823
242109121.948-12.948
24363112.754-49.7544
244102117.782-15.7824
245162115.12546.8752
24686114.994-28.9939
247114115.95-1.94985
248164113.87950.1214
249119112.7976.20273
250126119.3256.67542
251132119.32512.6754
252142116.2625.74
25383115.062-32.0621
25494114.98-20.9796
25581106.256-25.2557
256166112.14353.8572
257110118.209-8.20919
25864116.129-52.1291
25993118.656-25.6558
260104115.358-11.358
261105113.796-8.79605
26249118.024-69.0244
26388115.441-27.4405
26495114.746-19.7464
265102119.504-17.5039
26699116.274-17.2743
26763116.289-53.2886
26876112.254-36.2539
269109122.23-13.2296
270117120.488-3.48836
27157118.718-61.7185
272120117.1622.83798
27373112.9-39.8996
27491116.308-25.3084
275108117.472-9.47221
276105118.684-13.6844
277117114.4852.51536
278119116.8662.13388
27931113.52-82.52

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 149 & 108.942 & 40.0582 \tabularnewline
2 & 139 & 118.044 & 20.9558 \tabularnewline
3 & 148 & 112.205 & 35.7945 \tabularnewline
4 & 158 & 120.309 & 37.6909 \tabularnewline
5 & 128 & 114.271 & 13.7288 \tabularnewline
6 & 224 & 115.93 & 108.07 \tabularnewline
7 & 159 & 114.883 & 44.1171 \tabularnewline
8 & 105 & 114.533 & -9.53303 \tabularnewline
9 & 159 & 124.46 & 34.5396 \tabularnewline
10 & 167 & 124.105 & 42.8949 \tabularnewline
11 & 165 & 114.766 & 50.2338 \tabularnewline
12 & 159 & 122.127 & 36.8727 \tabularnewline
13 & 119 & 114.228 & 4.77163 \tabularnewline
14 & 176 & 116.949 & 59.0514 \tabularnewline
15 & 54 & 120.13 & -66.1298 \tabularnewline
16 & 91 & 118.457 & -27.4567 \tabularnewline
17 & 163 & 112.7 & 50.2995 \tabularnewline
18 & 124 & 116.653 & 7.34728 \tabularnewline
19 & 137 & 117.831 & 19.1692 \tabularnewline
20 & 121 & 121.41 & -0.410163 \tabularnewline
21 & 153 & 119.62 & 33.3795 \tabularnewline
22 & 148 & 119.194 & 28.8063 \tabularnewline
23 & 221 & 117.21 & 103.79 \tabularnewline
24 & 188 & 116.735 & 71.2648 \tabularnewline
25 & 149 & 119.325 & 29.6754 \tabularnewline
26 & 244 & 115.62 & 128.38 \tabularnewline
27 & 148 & 117.259 & 30.7412 \tabularnewline
28 & 92 & 116.109 & -24.1093 \tabularnewline
29 & 150 & 119.8 & 30.2002 \tabularnewline
30 & 153 & 114.834 & 38.1655 \tabularnewline
31 & 94 & 107.357 & -13.3568 \tabularnewline
32 & 156 & 117.273 & 38.7269 \tabularnewline
33 & 132 & 117.08 & 14.9205 \tabularnewline
34 & 161 & 112.308 & 48.6922 \tabularnewline
35 & 105 & 114.8 & -9.80036 \tabularnewline
36 & 97 & 116.667 & -19.667 \tabularnewline
37 & 151 & 115.964 & 35.0359 \tabularnewline
38 & 131 & 117.438 & 13.5619 \tabularnewline
39 & 166 & 119.945 & 46.055 \tabularnewline
40 & 157 & 112.769 & 44.2313 \tabularnewline
41 & 111 & 113.156 & -2.15586 \tabularnewline
42 & 145 & 115.338 & 29.6618 \tabularnewline
43 & 162 & 114.849 & 47.1512 \tabularnewline
44 & 163 & 108.637 & 54.3628 \tabularnewline
45 & 59 & 108.356 & -49.3556 \tabularnewline
46 & 187 & 121.177 & 65.8231 \tabularnewline
47 & 109 & 115.683 & -6.68253 \tabularnewline
48 & 90 & 118.505 & -28.5051 \tabularnewline
49 & 105 & 119.655 & -14.6546 \tabularnewline
50 & 83 & 114.47 & -31.4704 \tabularnewline
51 & 116 & 115.998 & 0.00175823 \tabularnewline
52 & 42 & 115.503 & -73.5032 \tabularnewline
53 & 148 & 113.486 & 34.5141 \tabularnewline
54 & 155 & 120.047 & 34.9527 \tabularnewline
55 & 125 & 119.635 & 5.36523 \tabularnewline
56 & 116 & 116.997 & -0.997019 \tabularnewline
57 & 128 & 110.834 & 17.1662 \tabularnewline
58 & 138 & 116.488 & 21.5123 \tabularnewline
59 & 49 & 113.782 & -64.7818 \tabularnewline
60 & 96 & 114.815 & -18.8146 \tabularnewline
61 & 164 & 119.16 & 44.8404 \tabularnewline
62 & 162 & 116.653 & 45.3473 \tabularnewline
63 & 99 & 110.834 & -11.8338 \tabularnewline
64 & 202 & 113.355 & 88.645 \tabularnewline
65 & 186 & 116.929 & 69.0712 \tabularnewline
66 & 66 & 113.568 & -47.5684 \tabularnewline
67 & 183 & 119.703 & 63.297 \tabularnewline
68 & 214 & 118.519 & 95.4806 \tabularnewline
69 & 188 & 113.733 & 74.2666 \tabularnewline
70 & 104 & 110.897 & -6.89651 \tabularnewline
71 & 177 & 116.371 & 60.6289 \tabularnewline
72 & 126 & 115.717 & 10.2834 \tabularnewline
73 & 76 & 117.962 & -41.9617 \tabularnewline
74 & 99 & 121.928 & -22.9282 \tabularnewline
75 & 139 & 109.064 & 29.936 \tabularnewline
76 & 78 & 119.911 & -41.9108 \tabularnewline
77 & 162 & 112.225 & 49.7747 \tabularnewline
78 & 108 & 111.895 & -3.89529 \tabularnewline
79 & 159 & 120.619 & 38.3807 \tabularnewline
80 & 74 & 109.34 & -35.34 \tabularnewline
81 & 110 & 115.489 & -5.48894 \tabularnewline
82 & 96 & 114.766 & -18.7662 \tabularnewline
83 & 116 & 115.916 & 0.0842596 \tabularnewline
84 & 87 & 113.981 & -26.9809 \tabularnewline
85 & 97 & 117.555 & -20.5547 \tabularnewline
86 & 127 & 112.584 & 14.4161 \tabularnewline
87 & 106 & 118.127 & -12.1267 \tabularnewline
88 & 80 & 118.553 & -38.5535 \tabularnewline
89 & 74 & 118.016 & -44.0156 \tabularnewline
90 & 91 & 116.915 & -25.9145 \tabularnewline
91 & 133 & 115.571 & 17.4286 \tabularnewline
92 & 74 & 116.323 & -42.3227 \tabularnewline
93 & 114 & 109.733 & 4.26727 \tabularnewline
94 & 140 & 121.39 & 18.6097 \tabularnewline
95 & 95 & 109.044 & -14.0441 \tabularnewline
96 & 98 & 115.207 & -17.2073 \tabularnewline
97 & 121 & 120.309 & 0.690933 \tabularnewline
98 & 126 & 117.996 & 8.0042 \tabularnewline
99 & 98 & 117.259 & -19.2588 \tabularnewline
100 & 95 & 112.618 & -17.618 \tabularnewline
101 & 110 & 118.883 & -8.88349 \tabularnewline
102 & 70 & 117.472 & -47.4722 \tabularnewline
103 & 102 & 119.31 & -17.3103 \tabularnewline
104 & 86 & 106.586 & -20.5857 \tabularnewline
105 & 130 & 118.112 & 11.8876 \tabularnewline
106 & 96 & 115.668 & -19.6682 \tabularnewline
107 & 102 & 115.848 & -13.8475 \tabularnewline
108 & 100 & 117.748 & -17.7483 \tabularnewline
109 & 94 & 114.194 & -20.1943 \tabularnewline
110 & 52 & 118.553 & -66.5535 \tabularnewline
111 & 98 & 117.7 & -19.6999 \tabularnewline
112 & 118 & 119.194 & -1.19368 \tabularnewline
113 & 99 & 118.898 & -19.8978 \tabularnewline
114 & 48 & 117.763 & -69.7626 \tabularnewline
115 & 50 & 104.713 & -54.7135 \tabularnewline
116 & 150 & 113.602 & 36.3975 \tabularnewline
117 & 154 & 116.784 & 37.2164 \tabularnewline
118 & 109 & 116.977 & -7.9772 \tabularnewline
119 & 68 & 118.141 & -50.141 \tabularnewline
120 & 194 & 116.55 & 77.4496 \tabularnewline
121 & 158 & 118.602 & 39.3981 \tabularnewline
122 & 159 & 118.423 & 40.5774 \tabularnewline
123 & 67 & 115.93 & -48.93 \tabularnewline
124 & 147 & 115.532 & 31.4682 \tabularnewline
125 & 39 & 119.655 & -80.6546 \tabularnewline
126 & 100 & 116.061 & -16.0609 \tabularnewline
127 & 111 & 116.57 & -5.57022 \tabularnewline
128 & 138 & 110.897 & 27.1035 \tabularnewline
129 & 101 & 116.619 & -15.6186 \tabularnewline
130 & 131 & 122.031 & 8.96946 \tabularnewline
131 & 101 & 115.848 & -14.8475 \tabularnewline
132 & 114 & 115.207 & -1.20733 \tabularnewline
133 & 165 & 118.292 & 46.7083 \tabularnewline
134 & 114 & 114.325 & -0.325165 \tabularnewline
135 & 111 & 119.063 & -8.06279 \tabularnewline
136 & 75 & 109.912 & -34.912 \tabularnewline
137 & 82 & 121.618 & -39.618 \tabularnewline
138 & 121 & 114.257 & 6.74305 \tabularnewline
139 & 32 & 115.833 & -83.8332 \tabularnewline
140 & 150 & 117.555 & 32.4453 \tabularnewline
141 & 117 & 120.861 & -3.86123 \tabularnewline
142 & 71 & 110.567 & -39.5665 \tabularnewline
143 & 165 & 113.554 & 51.4459 \tabularnewline
144 & 154 & 120.736 & 33.2641 \tabularnewline
145 & 126 & 114.49 & 11.5098 \tabularnewline
146 & 149 & 116.57 & 32.4298 \tabularnewline
147 & 145 & 114.368 & 30.632 \tabularnewline
148 & 120 & 124.862 & -4.86187 \tabularnewline
149 & 109 & 116.585 & -7.58451 \tabularnewline
150 & 132 & 116.027 & 15.9732 \tabularnewline
151 & 172 & 116.633 & 55.3671 \tabularnewline
152 & 169 & 116.852 & 52.1482 \tabularnewline
153 & 114 & 117.962 & -3.96169 \tabularnewline
154 & 156 & 117.962 & 38.0383 \tabularnewline
155 & 172 & 108.797 & 63.2034 \tabularnewline
156 & 68 & 121.143 & -53.1428 \tabularnewline
157 & 89 & 121.536 & -32.5355 \tabularnewline
158 & 167 & 123.684 & 43.3162 \tabularnewline
159 & 113 & 116.178 & -3.17753 \tabularnewline
160 & 115 & 121.109 & -6.10874 \tabularnewline
161 & 78 & 111.668 & -33.6676 \tabularnewline
162 & 118 & 114.126 & 3.87394 \tabularnewline
163 & 87 & 117.472 & -30.4722 \tabularnewline
164 & 173 & 113.748 & 59.2523 \tabularnewline
165 & 2 & 119.814 & -117.814 \tabularnewline
166 & 162 & 117.811 & 44.189 \tabularnewline
167 & 49 & 115.111 & -66.1105 \tabularnewline
168 & 122 & 114.883 & 7.11714 \tabularnewline
169 & 96 & 116.357 & -20.3568 \tabularnewline
170 & 100 & 121.274 & -21.2737 \tabularnewline
171 & 82 & 118.636 & -36.636 \tabularnewline
172 & 100 & 124.261 & -24.2613 \tabularnewline
173 & 115 & 115.978 & -0.978425 \tabularnewline
174 & 141 & 116.784 & 24.2164 \tabularnewline
175 & 165 & 118.223 & 46.7765 \tabularnewline
176 & 165 & 117.962 & 47.0383 \tabularnewline
177 & 110 & 115.096 & -5.09625 \tabularnewline
178 & 118 & 115.518 & 2.48248 \tabularnewline
179 & 158 & 107.027 & 50.9732 \tabularnewline
180 & 146 & 114.47 & 31.5296 \tabularnewline
181 & 49 & 113.341 & -64.3407 \tabularnewline
182 & 90 & 116.158 & -26.1577 \tabularnewline
183 & 121 & 112.37 & 8.62952 \tabularnewline
184 & 155 & 115.193 & 39.807 \tabularnewline
185 & 104 & 117.08 & -13.0795 \tabularnewline
186 & 147 & 110.47 & 36.5303 \tabularnewline
187 & 110 & 118.388 & -8.38849 \tabularnewline
188 & 108 & 118.684 & -10.6844 \tabularnewline
189 & 113 & 118.849 & -5.84939 \tabularnewline
190 & 115 & 119.586 & -4.58637 \tabularnewline
191 & 61 & 115.358 & -54.358 \tabularnewline
192 & 60 & 114.257 & -54.257 \tabularnewline
193 & 109 & 119.785 & -10.7855 \tabularnewline
194 & 68 & 119.256 & -51.2564 \tabularnewline
195 & 111 & 119.931 & -8.93067 \tabularnewline
196 & 77 & 112.419 & -35.4189 \tabularnewline
197 & 73 & 117.598 & -44.5976 \tabularnewline
198 & 151 & 113.637 & 37.3634 \tabularnewline
199 & 89 & 114.946 & -25.9455 \tabularnewline
200 & 78 & 114.339 & -36.3395 \tabularnewline
201 & 110 & 120.881 & -10.881 \tabularnewline
202 & 220 & 120.23 & 99.7702 \tabularnewline
203 & 65 & 121.681 & -56.6807 \tabularnewline
204 & 141 & 117.603 & 23.3969 \tabularnewline
205 & 117 & 112.521 & 4.47881 \tabularnewline
206 & 122 & 113.753 & 8.24682 \tabularnewline
207 & 63 & 112.308 & -49.3078 \tabularnewline
208 & 44 & 116.178 & -72.1775 \tabularnewline
209 & 52 & 113.335 & -61.3351 \tabularnewline
210 & 131 & 112.473 & 18.5272 \tabularnewline
211 & 101 & 114.063 & -13.0634 \tabularnewline
212 & 42 & 116.488 & -74.4877 \tabularnewline
213 & 152 & 116.866 & 35.1339 \tabularnewline
214 & 107 & 117.506 & -10.5063 \tabularnewline
215 & 77 & 115.261 & -38.2613 \tabularnewline
216 & 154 & 115.998 & 38.0018 \tabularnewline
217 & 103 & 116.468 & -13.4679 \tabularnewline
218 & 96 & 111.42 & -15.4201 \tabularnewline
219 & 175 & 117.686 & 57.3144 \tabularnewline
220 & 57 & 113.341 & -56.3407 \tabularnewline
221 & 112 & 115.586 & -3.58573 \tabularnewline
222 & 143 & 116.294 & 26.7059 \tabularnewline
223 & 49 & 118.36 & -69.3599 \tabularnewline
224 & 110 & 117.06 & -7.0597 \tabularnewline
225 & 131 & 113.637 & 17.3634 \tabularnewline
226 & 167 & 114.931 & 52.0687 \tabularnewline
227 & 56 & 114.47 & -58.4704 \tabularnewline
228 & 137 & 118.602 & 18.3981 \tabularnewline
229 & 86 & 118.588 & -32.5876 \tabularnewline
230 & 121 & 118.195 & 2.80509 \tabularnewline
231 & 149 & 115.324 & 33.6761 \tabularnewline
232 & 168 & 119.931 & 48.0693 \tabularnewline
233 & 140 & 116.323 & 23.6773 \tabularnewline
234 & 88 & 119.131 & -31.131 \tabularnewline
235 & 168 & 114.194 & 53.8057 \tabularnewline
236 & 94 & 116.357 & -22.3568 \tabularnewline
237 & 51 & 118.519 & -67.5194 \tabularnewline
238 & 48 & 116.26 & -68.26 \tabularnewline
239 & 145 & 118.539 & 26.4608 \tabularnewline
240 & 66 & 113.019 & -47.0194 \tabularnewline
241 & 85 & 119.882 & -34.8823 \tabularnewline
242 & 109 & 121.948 & -12.948 \tabularnewline
243 & 63 & 112.754 & -49.7544 \tabularnewline
244 & 102 & 117.782 & -15.7824 \tabularnewline
245 & 162 & 115.125 & 46.8752 \tabularnewline
246 & 86 & 114.994 & -28.9939 \tabularnewline
247 & 114 & 115.95 & -1.94985 \tabularnewline
248 & 164 & 113.879 & 50.1214 \tabularnewline
249 & 119 & 112.797 & 6.20273 \tabularnewline
250 & 126 & 119.325 & 6.67542 \tabularnewline
251 & 132 & 119.325 & 12.6754 \tabularnewline
252 & 142 & 116.26 & 25.74 \tabularnewline
253 & 83 & 115.062 & -32.0621 \tabularnewline
254 & 94 & 114.98 & -20.9796 \tabularnewline
255 & 81 & 106.256 & -25.2557 \tabularnewline
256 & 166 & 112.143 & 53.8572 \tabularnewline
257 & 110 & 118.209 & -8.20919 \tabularnewline
258 & 64 & 116.129 & -52.1291 \tabularnewline
259 & 93 & 118.656 & -25.6558 \tabularnewline
260 & 104 & 115.358 & -11.358 \tabularnewline
261 & 105 & 113.796 & -8.79605 \tabularnewline
262 & 49 & 118.024 & -69.0244 \tabularnewline
263 & 88 & 115.441 & -27.4405 \tabularnewline
264 & 95 & 114.746 & -19.7464 \tabularnewline
265 & 102 & 119.504 & -17.5039 \tabularnewline
266 & 99 & 116.274 & -17.2743 \tabularnewline
267 & 63 & 116.289 & -53.2886 \tabularnewline
268 & 76 & 112.254 & -36.2539 \tabularnewline
269 & 109 & 122.23 & -13.2296 \tabularnewline
270 & 117 & 120.488 & -3.48836 \tabularnewline
271 & 57 & 118.718 & -61.7185 \tabularnewline
272 & 120 & 117.162 & 2.83798 \tabularnewline
273 & 73 & 112.9 & -39.8996 \tabularnewline
274 & 91 & 116.308 & -25.3084 \tabularnewline
275 & 108 & 117.472 & -9.47221 \tabularnewline
276 & 105 & 118.684 & -13.6844 \tabularnewline
277 & 117 & 114.485 & 2.51536 \tabularnewline
278 & 119 & 116.866 & 2.13388 \tabularnewline
279 & 31 & 113.52 & -82.52 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268262&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]149[/C][C]108.942[/C][C]40.0582[/C][/ROW]
[ROW][C]2[/C][C]139[/C][C]118.044[/C][C]20.9558[/C][/ROW]
[ROW][C]3[/C][C]148[/C][C]112.205[/C][C]35.7945[/C][/ROW]
[ROW][C]4[/C][C]158[/C][C]120.309[/C][C]37.6909[/C][/ROW]
[ROW][C]5[/C][C]128[/C][C]114.271[/C][C]13.7288[/C][/ROW]
[ROW][C]6[/C][C]224[/C][C]115.93[/C][C]108.07[/C][/ROW]
[ROW][C]7[/C][C]159[/C][C]114.883[/C][C]44.1171[/C][/ROW]
[ROW][C]8[/C][C]105[/C][C]114.533[/C][C]-9.53303[/C][/ROW]
[ROW][C]9[/C][C]159[/C][C]124.46[/C][C]34.5396[/C][/ROW]
[ROW][C]10[/C][C]167[/C][C]124.105[/C][C]42.8949[/C][/ROW]
[ROW][C]11[/C][C]165[/C][C]114.766[/C][C]50.2338[/C][/ROW]
[ROW][C]12[/C][C]159[/C][C]122.127[/C][C]36.8727[/C][/ROW]
[ROW][C]13[/C][C]119[/C][C]114.228[/C][C]4.77163[/C][/ROW]
[ROW][C]14[/C][C]176[/C][C]116.949[/C][C]59.0514[/C][/ROW]
[ROW][C]15[/C][C]54[/C][C]120.13[/C][C]-66.1298[/C][/ROW]
[ROW][C]16[/C][C]91[/C][C]118.457[/C][C]-27.4567[/C][/ROW]
[ROW][C]17[/C][C]163[/C][C]112.7[/C][C]50.2995[/C][/ROW]
[ROW][C]18[/C][C]124[/C][C]116.653[/C][C]7.34728[/C][/ROW]
[ROW][C]19[/C][C]137[/C][C]117.831[/C][C]19.1692[/C][/ROW]
[ROW][C]20[/C][C]121[/C][C]121.41[/C][C]-0.410163[/C][/ROW]
[ROW][C]21[/C][C]153[/C][C]119.62[/C][C]33.3795[/C][/ROW]
[ROW][C]22[/C][C]148[/C][C]119.194[/C][C]28.8063[/C][/ROW]
[ROW][C]23[/C][C]221[/C][C]117.21[/C][C]103.79[/C][/ROW]
[ROW][C]24[/C][C]188[/C][C]116.735[/C][C]71.2648[/C][/ROW]
[ROW][C]25[/C][C]149[/C][C]119.325[/C][C]29.6754[/C][/ROW]
[ROW][C]26[/C][C]244[/C][C]115.62[/C][C]128.38[/C][/ROW]
[ROW][C]27[/C][C]148[/C][C]117.259[/C][C]30.7412[/C][/ROW]
[ROW][C]28[/C][C]92[/C][C]116.109[/C][C]-24.1093[/C][/ROW]
[ROW][C]29[/C][C]150[/C][C]119.8[/C][C]30.2002[/C][/ROW]
[ROW][C]30[/C][C]153[/C][C]114.834[/C][C]38.1655[/C][/ROW]
[ROW][C]31[/C][C]94[/C][C]107.357[/C][C]-13.3568[/C][/ROW]
[ROW][C]32[/C][C]156[/C][C]117.273[/C][C]38.7269[/C][/ROW]
[ROW][C]33[/C][C]132[/C][C]117.08[/C][C]14.9205[/C][/ROW]
[ROW][C]34[/C][C]161[/C][C]112.308[/C][C]48.6922[/C][/ROW]
[ROW][C]35[/C][C]105[/C][C]114.8[/C][C]-9.80036[/C][/ROW]
[ROW][C]36[/C][C]97[/C][C]116.667[/C][C]-19.667[/C][/ROW]
[ROW][C]37[/C][C]151[/C][C]115.964[/C][C]35.0359[/C][/ROW]
[ROW][C]38[/C][C]131[/C][C]117.438[/C][C]13.5619[/C][/ROW]
[ROW][C]39[/C][C]166[/C][C]119.945[/C][C]46.055[/C][/ROW]
[ROW][C]40[/C][C]157[/C][C]112.769[/C][C]44.2313[/C][/ROW]
[ROW][C]41[/C][C]111[/C][C]113.156[/C][C]-2.15586[/C][/ROW]
[ROW][C]42[/C][C]145[/C][C]115.338[/C][C]29.6618[/C][/ROW]
[ROW][C]43[/C][C]162[/C][C]114.849[/C][C]47.1512[/C][/ROW]
[ROW][C]44[/C][C]163[/C][C]108.637[/C][C]54.3628[/C][/ROW]
[ROW][C]45[/C][C]59[/C][C]108.356[/C][C]-49.3556[/C][/ROW]
[ROW][C]46[/C][C]187[/C][C]121.177[/C][C]65.8231[/C][/ROW]
[ROW][C]47[/C][C]109[/C][C]115.683[/C][C]-6.68253[/C][/ROW]
[ROW][C]48[/C][C]90[/C][C]118.505[/C][C]-28.5051[/C][/ROW]
[ROW][C]49[/C][C]105[/C][C]119.655[/C][C]-14.6546[/C][/ROW]
[ROW][C]50[/C][C]83[/C][C]114.47[/C][C]-31.4704[/C][/ROW]
[ROW][C]51[/C][C]116[/C][C]115.998[/C][C]0.00175823[/C][/ROW]
[ROW][C]52[/C][C]42[/C][C]115.503[/C][C]-73.5032[/C][/ROW]
[ROW][C]53[/C][C]148[/C][C]113.486[/C][C]34.5141[/C][/ROW]
[ROW][C]54[/C][C]155[/C][C]120.047[/C][C]34.9527[/C][/ROW]
[ROW][C]55[/C][C]125[/C][C]119.635[/C][C]5.36523[/C][/ROW]
[ROW][C]56[/C][C]116[/C][C]116.997[/C][C]-0.997019[/C][/ROW]
[ROW][C]57[/C][C]128[/C][C]110.834[/C][C]17.1662[/C][/ROW]
[ROW][C]58[/C][C]138[/C][C]116.488[/C][C]21.5123[/C][/ROW]
[ROW][C]59[/C][C]49[/C][C]113.782[/C][C]-64.7818[/C][/ROW]
[ROW][C]60[/C][C]96[/C][C]114.815[/C][C]-18.8146[/C][/ROW]
[ROW][C]61[/C][C]164[/C][C]119.16[/C][C]44.8404[/C][/ROW]
[ROW][C]62[/C][C]162[/C][C]116.653[/C][C]45.3473[/C][/ROW]
[ROW][C]63[/C][C]99[/C][C]110.834[/C][C]-11.8338[/C][/ROW]
[ROW][C]64[/C][C]202[/C][C]113.355[/C][C]88.645[/C][/ROW]
[ROW][C]65[/C][C]186[/C][C]116.929[/C][C]69.0712[/C][/ROW]
[ROW][C]66[/C][C]66[/C][C]113.568[/C][C]-47.5684[/C][/ROW]
[ROW][C]67[/C][C]183[/C][C]119.703[/C][C]63.297[/C][/ROW]
[ROW][C]68[/C][C]214[/C][C]118.519[/C][C]95.4806[/C][/ROW]
[ROW][C]69[/C][C]188[/C][C]113.733[/C][C]74.2666[/C][/ROW]
[ROW][C]70[/C][C]104[/C][C]110.897[/C][C]-6.89651[/C][/ROW]
[ROW][C]71[/C][C]177[/C][C]116.371[/C][C]60.6289[/C][/ROW]
[ROW][C]72[/C][C]126[/C][C]115.717[/C][C]10.2834[/C][/ROW]
[ROW][C]73[/C][C]76[/C][C]117.962[/C][C]-41.9617[/C][/ROW]
[ROW][C]74[/C][C]99[/C][C]121.928[/C][C]-22.9282[/C][/ROW]
[ROW][C]75[/C][C]139[/C][C]109.064[/C][C]29.936[/C][/ROW]
[ROW][C]76[/C][C]78[/C][C]119.911[/C][C]-41.9108[/C][/ROW]
[ROW][C]77[/C][C]162[/C][C]112.225[/C][C]49.7747[/C][/ROW]
[ROW][C]78[/C][C]108[/C][C]111.895[/C][C]-3.89529[/C][/ROW]
[ROW][C]79[/C][C]159[/C][C]120.619[/C][C]38.3807[/C][/ROW]
[ROW][C]80[/C][C]74[/C][C]109.34[/C][C]-35.34[/C][/ROW]
[ROW][C]81[/C][C]110[/C][C]115.489[/C][C]-5.48894[/C][/ROW]
[ROW][C]82[/C][C]96[/C][C]114.766[/C][C]-18.7662[/C][/ROW]
[ROW][C]83[/C][C]116[/C][C]115.916[/C][C]0.0842596[/C][/ROW]
[ROW][C]84[/C][C]87[/C][C]113.981[/C][C]-26.9809[/C][/ROW]
[ROW][C]85[/C][C]97[/C][C]117.555[/C][C]-20.5547[/C][/ROW]
[ROW][C]86[/C][C]127[/C][C]112.584[/C][C]14.4161[/C][/ROW]
[ROW][C]87[/C][C]106[/C][C]118.127[/C][C]-12.1267[/C][/ROW]
[ROW][C]88[/C][C]80[/C][C]118.553[/C][C]-38.5535[/C][/ROW]
[ROW][C]89[/C][C]74[/C][C]118.016[/C][C]-44.0156[/C][/ROW]
[ROW][C]90[/C][C]91[/C][C]116.915[/C][C]-25.9145[/C][/ROW]
[ROW][C]91[/C][C]133[/C][C]115.571[/C][C]17.4286[/C][/ROW]
[ROW][C]92[/C][C]74[/C][C]116.323[/C][C]-42.3227[/C][/ROW]
[ROW][C]93[/C][C]114[/C][C]109.733[/C][C]4.26727[/C][/ROW]
[ROW][C]94[/C][C]140[/C][C]121.39[/C][C]18.6097[/C][/ROW]
[ROW][C]95[/C][C]95[/C][C]109.044[/C][C]-14.0441[/C][/ROW]
[ROW][C]96[/C][C]98[/C][C]115.207[/C][C]-17.2073[/C][/ROW]
[ROW][C]97[/C][C]121[/C][C]120.309[/C][C]0.690933[/C][/ROW]
[ROW][C]98[/C][C]126[/C][C]117.996[/C][C]8.0042[/C][/ROW]
[ROW][C]99[/C][C]98[/C][C]117.259[/C][C]-19.2588[/C][/ROW]
[ROW][C]100[/C][C]95[/C][C]112.618[/C][C]-17.618[/C][/ROW]
[ROW][C]101[/C][C]110[/C][C]118.883[/C][C]-8.88349[/C][/ROW]
[ROW][C]102[/C][C]70[/C][C]117.472[/C][C]-47.4722[/C][/ROW]
[ROW][C]103[/C][C]102[/C][C]119.31[/C][C]-17.3103[/C][/ROW]
[ROW][C]104[/C][C]86[/C][C]106.586[/C][C]-20.5857[/C][/ROW]
[ROW][C]105[/C][C]130[/C][C]118.112[/C][C]11.8876[/C][/ROW]
[ROW][C]106[/C][C]96[/C][C]115.668[/C][C]-19.6682[/C][/ROW]
[ROW][C]107[/C][C]102[/C][C]115.848[/C][C]-13.8475[/C][/ROW]
[ROW][C]108[/C][C]100[/C][C]117.748[/C][C]-17.7483[/C][/ROW]
[ROW][C]109[/C][C]94[/C][C]114.194[/C][C]-20.1943[/C][/ROW]
[ROW][C]110[/C][C]52[/C][C]118.553[/C][C]-66.5535[/C][/ROW]
[ROW][C]111[/C][C]98[/C][C]117.7[/C][C]-19.6999[/C][/ROW]
[ROW][C]112[/C][C]118[/C][C]119.194[/C][C]-1.19368[/C][/ROW]
[ROW][C]113[/C][C]99[/C][C]118.898[/C][C]-19.8978[/C][/ROW]
[ROW][C]114[/C][C]48[/C][C]117.763[/C][C]-69.7626[/C][/ROW]
[ROW][C]115[/C][C]50[/C][C]104.713[/C][C]-54.7135[/C][/ROW]
[ROW][C]116[/C][C]150[/C][C]113.602[/C][C]36.3975[/C][/ROW]
[ROW][C]117[/C][C]154[/C][C]116.784[/C][C]37.2164[/C][/ROW]
[ROW][C]118[/C][C]109[/C][C]116.977[/C][C]-7.9772[/C][/ROW]
[ROW][C]119[/C][C]68[/C][C]118.141[/C][C]-50.141[/C][/ROW]
[ROW][C]120[/C][C]194[/C][C]116.55[/C][C]77.4496[/C][/ROW]
[ROW][C]121[/C][C]158[/C][C]118.602[/C][C]39.3981[/C][/ROW]
[ROW][C]122[/C][C]159[/C][C]118.423[/C][C]40.5774[/C][/ROW]
[ROW][C]123[/C][C]67[/C][C]115.93[/C][C]-48.93[/C][/ROW]
[ROW][C]124[/C][C]147[/C][C]115.532[/C][C]31.4682[/C][/ROW]
[ROW][C]125[/C][C]39[/C][C]119.655[/C][C]-80.6546[/C][/ROW]
[ROW][C]126[/C][C]100[/C][C]116.061[/C][C]-16.0609[/C][/ROW]
[ROW][C]127[/C][C]111[/C][C]116.57[/C][C]-5.57022[/C][/ROW]
[ROW][C]128[/C][C]138[/C][C]110.897[/C][C]27.1035[/C][/ROW]
[ROW][C]129[/C][C]101[/C][C]116.619[/C][C]-15.6186[/C][/ROW]
[ROW][C]130[/C][C]131[/C][C]122.031[/C][C]8.96946[/C][/ROW]
[ROW][C]131[/C][C]101[/C][C]115.848[/C][C]-14.8475[/C][/ROW]
[ROW][C]132[/C][C]114[/C][C]115.207[/C][C]-1.20733[/C][/ROW]
[ROW][C]133[/C][C]165[/C][C]118.292[/C][C]46.7083[/C][/ROW]
[ROW][C]134[/C][C]114[/C][C]114.325[/C][C]-0.325165[/C][/ROW]
[ROW][C]135[/C][C]111[/C][C]119.063[/C][C]-8.06279[/C][/ROW]
[ROW][C]136[/C][C]75[/C][C]109.912[/C][C]-34.912[/C][/ROW]
[ROW][C]137[/C][C]82[/C][C]121.618[/C][C]-39.618[/C][/ROW]
[ROW][C]138[/C][C]121[/C][C]114.257[/C][C]6.74305[/C][/ROW]
[ROW][C]139[/C][C]32[/C][C]115.833[/C][C]-83.8332[/C][/ROW]
[ROW][C]140[/C][C]150[/C][C]117.555[/C][C]32.4453[/C][/ROW]
[ROW][C]141[/C][C]117[/C][C]120.861[/C][C]-3.86123[/C][/ROW]
[ROW][C]142[/C][C]71[/C][C]110.567[/C][C]-39.5665[/C][/ROW]
[ROW][C]143[/C][C]165[/C][C]113.554[/C][C]51.4459[/C][/ROW]
[ROW][C]144[/C][C]154[/C][C]120.736[/C][C]33.2641[/C][/ROW]
[ROW][C]145[/C][C]126[/C][C]114.49[/C][C]11.5098[/C][/ROW]
[ROW][C]146[/C][C]149[/C][C]116.57[/C][C]32.4298[/C][/ROW]
[ROW][C]147[/C][C]145[/C][C]114.368[/C][C]30.632[/C][/ROW]
[ROW][C]148[/C][C]120[/C][C]124.862[/C][C]-4.86187[/C][/ROW]
[ROW][C]149[/C][C]109[/C][C]116.585[/C][C]-7.58451[/C][/ROW]
[ROW][C]150[/C][C]132[/C][C]116.027[/C][C]15.9732[/C][/ROW]
[ROW][C]151[/C][C]172[/C][C]116.633[/C][C]55.3671[/C][/ROW]
[ROW][C]152[/C][C]169[/C][C]116.852[/C][C]52.1482[/C][/ROW]
[ROW][C]153[/C][C]114[/C][C]117.962[/C][C]-3.96169[/C][/ROW]
[ROW][C]154[/C][C]156[/C][C]117.962[/C][C]38.0383[/C][/ROW]
[ROW][C]155[/C][C]172[/C][C]108.797[/C][C]63.2034[/C][/ROW]
[ROW][C]156[/C][C]68[/C][C]121.143[/C][C]-53.1428[/C][/ROW]
[ROW][C]157[/C][C]89[/C][C]121.536[/C][C]-32.5355[/C][/ROW]
[ROW][C]158[/C][C]167[/C][C]123.684[/C][C]43.3162[/C][/ROW]
[ROW][C]159[/C][C]113[/C][C]116.178[/C][C]-3.17753[/C][/ROW]
[ROW][C]160[/C][C]115[/C][C]121.109[/C][C]-6.10874[/C][/ROW]
[ROW][C]161[/C][C]78[/C][C]111.668[/C][C]-33.6676[/C][/ROW]
[ROW][C]162[/C][C]118[/C][C]114.126[/C][C]3.87394[/C][/ROW]
[ROW][C]163[/C][C]87[/C][C]117.472[/C][C]-30.4722[/C][/ROW]
[ROW][C]164[/C][C]173[/C][C]113.748[/C][C]59.2523[/C][/ROW]
[ROW][C]165[/C][C]2[/C][C]119.814[/C][C]-117.814[/C][/ROW]
[ROW][C]166[/C][C]162[/C][C]117.811[/C][C]44.189[/C][/ROW]
[ROW][C]167[/C][C]49[/C][C]115.111[/C][C]-66.1105[/C][/ROW]
[ROW][C]168[/C][C]122[/C][C]114.883[/C][C]7.11714[/C][/ROW]
[ROW][C]169[/C][C]96[/C][C]116.357[/C][C]-20.3568[/C][/ROW]
[ROW][C]170[/C][C]100[/C][C]121.274[/C][C]-21.2737[/C][/ROW]
[ROW][C]171[/C][C]82[/C][C]118.636[/C][C]-36.636[/C][/ROW]
[ROW][C]172[/C][C]100[/C][C]124.261[/C][C]-24.2613[/C][/ROW]
[ROW][C]173[/C][C]115[/C][C]115.978[/C][C]-0.978425[/C][/ROW]
[ROW][C]174[/C][C]141[/C][C]116.784[/C][C]24.2164[/C][/ROW]
[ROW][C]175[/C][C]165[/C][C]118.223[/C][C]46.7765[/C][/ROW]
[ROW][C]176[/C][C]165[/C][C]117.962[/C][C]47.0383[/C][/ROW]
[ROW][C]177[/C][C]110[/C][C]115.096[/C][C]-5.09625[/C][/ROW]
[ROW][C]178[/C][C]118[/C][C]115.518[/C][C]2.48248[/C][/ROW]
[ROW][C]179[/C][C]158[/C][C]107.027[/C][C]50.9732[/C][/ROW]
[ROW][C]180[/C][C]146[/C][C]114.47[/C][C]31.5296[/C][/ROW]
[ROW][C]181[/C][C]49[/C][C]113.341[/C][C]-64.3407[/C][/ROW]
[ROW][C]182[/C][C]90[/C][C]116.158[/C][C]-26.1577[/C][/ROW]
[ROW][C]183[/C][C]121[/C][C]112.37[/C][C]8.62952[/C][/ROW]
[ROW][C]184[/C][C]155[/C][C]115.193[/C][C]39.807[/C][/ROW]
[ROW][C]185[/C][C]104[/C][C]117.08[/C][C]-13.0795[/C][/ROW]
[ROW][C]186[/C][C]147[/C][C]110.47[/C][C]36.5303[/C][/ROW]
[ROW][C]187[/C][C]110[/C][C]118.388[/C][C]-8.38849[/C][/ROW]
[ROW][C]188[/C][C]108[/C][C]118.684[/C][C]-10.6844[/C][/ROW]
[ROW][C]189[/C][C]113[/C][C]118.849[/C][C]-5.84939[/C][/ROW]
[ROW][C]190[/C][C]115[/C][C]119.586[/C][C]-4.58637[/C][/ROW]
[ROW][C]191[/C][C]61[/C][C]115.358[/C][C]-54.358[/C][/ROW]
[ROW][C]192[/C][C]60[/C][C]114.257[/C][C]-54.257[/C][/ROW]
[ROW][C]193[/C][C]109[/C][C]119.785[/C][C]-10.7855[/C][/ROW]
[ROW][C]194[/C][C]68[/C][C]119.256[/C][C]-51.2564[/C][/ROW]
[ROW][C]195[/C][C]111[/C][C]119.931[/C][C]-8.93067[/C][/ROW]
[ROW][C]196[/C][C]77[/C][C]112.419[/C][C]-35.4189[/C][/ROW]
[ROW][C]197[/C][C]73[/C][C]117.598[/C][C]-44.5976[/C][/ROW]
[ROW][C]198[/C][C]151[/C][C]113.637[/C][C]37.3634[/C][/ROW]
[ROW][C]199[/C][C]89[/C][C]114.946[/C][C]-25.9455[/C][/ROW]
[ROW][C]200[/C][C]78[/C][C]114.339[/C][C]-36.3395[/C][/ROW]
[ROW][C]201[/C][C]110[/C][C]120.881[/C][C]-10.881[/C][/ROW]
[ROW][C]202[/C][C]220[/C][C]120.23[/C][C]99.7702[/C][/ROW]
[ROW][C]203[/C][C]65[/C][C]121.681[/C][C]-56.6807[/C][/ROW]
[ROW][C]204[/C][C]141[/C][C]117.603[/C][C]23.3969[/C][/ROW]
[ROW][C]205[/C][C]117[/C][C]112.521[/C][C]4.47881[/C][/ROW]
[ROW][C]206[/C][C]122[/C][C]113.753[/C][C]8.24682[/C][/ROW]
[ROW][C]207[/C][C]63[/C][C]112.308[/C][C]-49.3078[/C][/ROW]
[ROW][C]208[/C][C]44[/C][C]116.178[/C][C]-72.1775[/C][/ROW]
[ROW][C]209[/C][C]52[/C][C]113.335[/C][C]-61.3351[/C][/ROW]
[ROW][C]210[/C][C]131[/C][C]112.473[/C][C]18.5272[/C][/ROW]
[ROW][C]211[/C][C]101[/C][C]114.063[/C][C]-13.0634[/C][/ROW]
[ROW][C]212[/C][C]42[/C][C]116.488[/C][C]-74.4877[/C][/ROW]
[ROW][C]213[/C][C]152[/C][C]116.866[/C][C]35.1339[/C][/ROW]
[ROW][C]214[/C][C]107[/C][C]117.506[/C][C]-10.5063[/C][/ROW]
[ROW][C]215[/C][C]77[/C][C]115.261[/C][C]-38.2613[/C][/ROW]
[ROW][C]216[/C][C]154[/C][C]115.998[/C][C]38.0018[/C][/ROW]
[ROW][C]217[/C][C]103[/C][C]116.468[/C][C]-13.4679[/C][/ROW]
[ROW][C]218[/C][C]96[/C][C]111.42[/C][C]-15.4201[/C][/ROW]
[ROW][C]219[/C][C]175[/C][C]117.686[/C][C]57.3144[/C][/ROW]
[ROW][C]220[/C][C]57[/C][C]113.341[/C][C]-56.3407[/C][/ROW]
[ROW][C]221[/C][C]112[/C][C]115.586[/C][C]-3.58573[/C][/ROW]
[ROW][C]222[/C][C]143[/C][C]116.294[/C][C]26.7059[/C][/ROW]
[ROW][C]223[/C][C]49[/C][C]118.36[/C][C]-69.3599[/C][/ROW]
[ROW][C]224[/C][C]110[/C][C]117.06[/C][C]-7.0597[/C][/ROW]
[ROW][C]225[/C][C]131[/C][C]113.637[/C][C]17.3634[/C][/ROW]
[ROW][C]226[/C][C]167[/C][C]114.931[/C][C]52.0687[/C][/ROW]
[ROW][C]227[/C][C]56[/C][C]114.47[/C][C]-58.4704[/C][/ROW]
[ROW][C]228[/C][C]137[/C][C]118.602[/C][C]18.3981[/C][/ROW]
[ROW][C]229[/C][C]86[/C][C]118.588[/C][C]-32.5876[/C][/ROW]
[ROW][C]230[/C][C]121[/C][C]118.195[/C][C]2.80509[/C][/ROW]
[ROW][C]231[/C][C]149[/C][C]115.324[/C][C]33.6761[/C][/ROW]
[ROW][C]232[/C][C]168[/C][C]119.931[/C][C]48.0693[/C][/ROW]
[ROW][C]233[/C][C]140[/C][C]116.323[/C][C]23.6773[/C][/ROW]
[ROW][C]234[/C][C]88[/C][C]119.131[/C][C]-31.131[/C][/ROW]
[ROW][C]235[/C][C]168[/C][C]114.194[/C][C]53.8057[/C][/ROW]
[ROW][C]236[/C][C]94[/C][C]116.357[/C][C]-22.3568[/C][/ROW]
[ROW][C]237[/C][C]51[/C][C]118.519[/C][C]-67.5194[/C][/ROW]
[ROW][C]238[/C][C]48[/C][C]116.26[/C][C]-68.26[/C][/ROW]
[ROW][C]239[/C][C]145[/C][C]118.539[/C][C]26.4608[/C][/ROW]
[ROW][C]240[/C][C]66[/C][C]113.019[/C][C]-47.0194[/C][/ROW]
[ROW][C]241[/C][C]85[/C][C]119.882[/C][C]-34.8823[/C][/ROW]
[ROW][C]242[/C][C]109[/C][C]121.948[/C][C]-12.948[/C][/ROW]
[ROW][C]243[/C][C]63[/C][C]112.754[/C][C]-49.7544[/C][/ROW]
[ROW][C]244[/C][C]102[/C][C]117.782[/C][C]-15.7824[/C][/ROW]
[ROW][C]245[/C][C]162[/C][C]115.125[/C][C]46.8752[/C][/ROW]
[ROW][C]246[/C][C]86[/C][C]114.994[/C][C]-28.9939[/C][/ROW]
[ROW][C]247[/C][C]114[/C][C]115.95[/C][C]-1.94985[/C][/ROW]
[ROW][C]248[/C][C]164[/C][C]113.879[/C][C]50.1214[/C][/ROW]
[ROW][C]249[/C][C]119[/C][C]112.797[/C][C]6.20273[/C][/ROW]
[ROW][C]250[/C][C]126[/C][C]119.325[/C][C]6.67542[/C][/ROW]
[ROW][C]251[/C][C]132[/C][C]119.325[/C][C]12.6754[/C][/ROW]
[ROW][C]252[/C][C]142[/C][C]116.26[/C][C]25.74[/C][/ROW]
[ROW][C]253[/C][C]83[/C][C]115.062[/C][C]-32.0621[/C][/ROW]
[ROW][C]254[/C][C]94[/C][C]114.98[/C][C]-20.9796[/C][/ROW]
[ROW][C]255[/C][C]81[/C][C]106.256[/C][C]-25.2557[/C][/ROW]
[ROW][C]256[/C][C]166[/C][C]112.143[/C][C]53.8572[/C][/ROW]
[ROW][C]257[/C][C]110[/C][C]118.209[/C][C]-8.20919[/C][/ROW]
[ROW][C]258[/C][C]64[/C][C]116.129[/C][C]-52.1291[/C][/ROW]
[ROW][C]259[/C][C]93[/C][C]118.656[/C][C]-25.6558[/C][/ROW]
[ROW][C]260[/C][C]104[/C][C]115.358[/C][C]-11.358[/C][/ROW]
[ROW][C]261[/C][C]105[/C][C]113.796[/C][C]-8.79605[/C][/ROW]
[ROW][C]262[/C][C]49[/C][C]118.024[/C][C]-69.0244[/C][/ROW]
[ROW][C]263[/C][C]88[/C][C]115.441[/C][C]-27.4405[/C][/ROW]
[ROW][C]264[/C][C]95[/C][C]114.746[/C][C]-19.7464[/C][/ROW]
[ROW][C]265[/C][C]102[/C][C]119.504[/C][C]-17.5039[/C][/ROW]
[ROW][C]266[/C][C]99[/C][C]116.274[/C][C]-17.2743[/C][/ROW]
[ROW][C]267[/C][C]63[/C][C]116.289[/C][C]-53.2886[/C][/ROW]
[ROW][C]268[/C][C]76[/C][C]112.254[/C][C]-36.2539[/C][/ROW]
[ROW][C]269[/C][C]109[/C][C]122.23[/C][C]-13.2296[/C][/ROW]
[ROW][C]270[/C][C]117[/C][C]120.488[/C][C]-3.48836[/C][/ROW]
[ROW][C]271[/C][C]57[/C][C]118.718[/C][C]-61.7185[/C][/ROW]
[ROW][C]272[/C][C]120[/C][C]117.162[/C][C]2.83798[/C][/ROW]
[ROW][C]273[/C][C]73[/C][C]112.9[/C][C]-39.8996[/C][/ROW]
[ROW][C]274[/C][C]91[/C][C]116.308[/C][C]-25.3084[/C][/ROW]
[ROW][C]275[/C][C]108[/C][C]117.472[/C][C]-9.47221[/C][/ROW]
[ROW][C]276[/C][C]105[/C][C]118.684[/C][C]-13.6844[/C][/ROW]
[ROW][C]277[/C][C]117[/C][C]114.485[/C][C]2.51536[/C][/ROW]
[ROW][C]278[/C][C]119[/C][C]116.866[/C][C]2.13388[/C][/ROW]
[ROW][C]279[/C][C]31[/C][C]113.52[/C][C]-82.52[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268262&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268262&T=4

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1149108.94240.0582
2139118.04420.9558
3148112.20535.7945
4158120.30937.6909
5128114.27113.7288
6224115.93108.07
7159114.88344.1171
8105114.533-9.53303
9159124.4634.5396
10167124.10542.8949
11165114.76650.2338
12159122.12736.8727
13119114.2284.77163
14176116.94959.0514
1554120.13-66.1298
1691118.457-27.4567
17163112.750.2995
18124116.6537.34728
19137117.83119.1692
20121121.41-0.410163
21153119.6233.3795
22148119.19428.8063
23221117.21103.79
24188116.73571.2648
25149119.32529.6754
26244115.62128.38
27148117.25930.7412
2892116.109-24.1093
29150119.830.2002
30153114.83438.1655
3194107.357-13.3568
32156117.27338.7269
33132117.0814.9205
34161112.30848.6922
35105114.8-9.80036
3697116.667-19.667
37151115.96435.0359
38131117.43813.5619
39166119.94546.055
40157112.76944.2313
41111113.156-2.15586
42145115.33829.6618
43162114.84947.1512
44163108.63754.3628
4559108.356-49.3556
46187121.17765.8231
47109115.683-6.68253
4890118.505-28.5051
49105119.655-14.6546
5083114.47-31.4704
51116115.9980.00175823
5242115.503-73.5032
53148113.48634.5141
54155120.04734.9527
55125119.6355.36523
56116116.997-0.997019
57128110.83417.1662
58138116.48821.5123
5949113.782-64.7818
6096114.815-18.8146
61164119.1644.8404
62162116.65345.3473
6399110.834-11.8338
64202113.35588.645
65186116.92969.0712
6666113.568-47.5684
67183119.70363.297
68214118.51995.4806
69188113.73374.2666
70104110.897-6.89651
71177116.37160.6289
72126115.71710.2834
7376117.962-41.9617
7499121.928-22.9282
75139109.06429.936
7678119.911-41.9108
77162112.22549.7747
78108111.895-3.89529
79159120.61938.3807
8074109.34-35.34
81110115.489-5.48894
8296114.766-18.7662
83116115.9160.0842596
8487113.981-26.9809
8597117.555-20.5547
86127112.58414.4161
87106118.127-12.1267
8880118.553-38.5535
8974118.016-44.0156
9091116.915-25.9145
91133115.57117.4286
9274116.323-42.3227
93114109.7334.26727
94140121.3918.6097
9595109.044-14.0441
9698115.207-17.2073
97121120.3090.690933
98126117.9968.0042
9998117.259-19.2588
10095112.618-17.618
101110118.883-8.88349
10270117.472-47.4722
103102119.31-17.3103
10486106.586-20.5857
105130118.11211.8876
10696115.668-19.6682
107102115.848-13.8475
108100117.748-17.7483
10994114.194-20.1943
11052118.553-66.5535
11198117.7-19.6999
112118119.194-1.19368
11399118.898-19.8978
11448117.763-69.7626
11550104.713-54.7135
116150113.60236.3975
117154116.78437.2164
118109116.977-7.9772
11968118.141-50.141
120194116.5577.4496
121158118.60239.3981
122159118.42340.5774
12367115.93-48.93
124147115.53231.4682
12539119.655-80.6546
126100116.061-16.0609
127111116.57-5.57022
128138110.89727.1035
129101116.619-15.6186
130131122.0318.96946
131101115.848-14.8475
132114115.207-1.20733
133165118.29246.7083
134114114.325-0.325165
135111119.063-8.06279
13675109.912-34.912
13782121.618-39.618
138121114.2576.74305
13932115.833-83.8332
140150117.55532.4453
141117120.861-3.86123
14271110.567-39.5665
143165113.55451.4459
144154120.73633.2641
145126114.4911.5098
146149116.5732.4298
147145114.36830.632
148120124.862-4.86187
149109116.585-7.58451
150132116.02715.9732
151172116.63355.3671
152169116.85252.1482
153114117.962-3.96169
154156117.96238.0383
155172108.79763.2034
15668121.143-53.1428
15789121.536-32.5355
158167123.68443.3162
159113116.178-3.17753
160115121.109-6.10874
16178111.668-33.6676
162118114.1263.87394
16387117.472-30.4722
164173113.74859.2523
1652119.814-117.814
166162117.81144.189
16749115.111-66.1105
168122114.8837.11714
16996116.357-20.3568
170100121.274-21.2737
17182118.636-36.636
172100124.261-24.2613
173115115.978-0.978425
174141116.78424.2164
175165118.22346.7765
176165117.96247.0383
177110115.096-5.09625
178118115.5182.48248
179158107.02750.9732
180146114.4731.5296
18149113.341-64.3407
18290116.158-26.1577
183121112.378.62952
184155115.19339.807
185104117.08-13.0795
186147110.4736.5303
187110118.388-8.38849
188108118.684-10.6844
189113118.849-5.84939
190115119.586-4.58637
19161115.358-54.358
19260114.257-54.257
193109119.785-10.7855
19468119.256-51.2564
195111119.931-8.93067
19677112.419-35.4189
19773117.598-44.5976
198151113.63737.3634
19989114.946-25.9455
20078114.339-36.3395
201110120.881-10.881
202220120.2399.7702
20365121.681-56.6807
204141117.60323.3969
205117112.5214.47881
206122113.7538.24682
20763112.308-49.3078
20844116.178-72.1775
20952113.335-61.3351
210131112.47318.5272
211101114.063-13.0634
21242116.488-74.4877
213152116.86635.1339
214107117.506-10.5063
21577115.261-38.2613
216154115.99838.0018
217103116.468-13.4679
21896111.42-15.4201
219175117.68657.3144
22057113.341-56.3407
221112115.586-3.58573
222143116.29426.7059
22349118.36-69.3599
224110117.06-7.0597
225131113.63717.3634
226167114.93152.0687
22756114.47-58.4704
228137118.60218.3981
22986118.588-32.5876
230121118.1952.80509
231149115.32433.6761
232168119.93148.0693
233140116.32323.6773
23488119.131-31.131
235168114.19453.8057
23694116.357-22.3568
23751118.519-67.5194
23848116.26-68.26
239145118.53926.4608
24066113.019-47.0194
24185119.882-34.8823
242109121.948-12.948
24363112.754-49.7544
244102117.782-15.7824
245162115.12546.8752
24686114.994-28.9939
247114115.95-1.94985
248164113.87950.1214
249119112.7976.20273
250126119.3256.67542
251132119.32512.6754
252142116.2625.74
25383115.062-32.0621
25494114.98-20.9796
25581106.256-25.2557
256166112.14353.8572
257110118.209-8.20919
25864116.129-52.1291
25993118.656-25.6558
260104115.358-11.358
261105113.796-8.79605
26249118.024-69.0244
26388115.441-27.4405
26495114.746-19.7464
265102119.504-17.5039
26699116.274-17.2743
26763116.289-53.2886
26876112.254-36.2539
269109122.23-13.2296
270117120.488-3.48836
27157118.718-61.7185
272120117.1622.83798
27373112.9-39.8996
27491116.308-25.3084
275108117.472-9.47221
276105118.684-13.6844
277117114.4852.51536
278119116.8662.13388
27931113.52-82.52






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.2357650.471530.764235
70.4470150.894030.552985
80.3803150.760630.619685
90.2840340.5680680.715966
100.3334610.6669220.666539
110.2452480.4904960.754752
120.1689690.3379380.831031
130.1769010.3538020.823099
140.1420280.2840550.857972
150.5989320.8021370.401068
160.6467680.7064640.353232
170.5953010.8093980.404699
180.5341640.9316710.465836
190.4630580.9261170.536942
200.3999720.7999430.600028
210.3421270.6842550.657873
220.2832490.5664980.716751
230.5014770.9970460.498523
240.5229490.9541030.477051
250.4621820.9243630.537818
260.7563560.4872880.243644
270.7109840.5780330.289016
280.7592310.4815380.240769
290.7158870.5682260.284113
300.6718080.6563830.328192
310.7090580.5818850.290942
320.6679120.6641750.332088
330.6252740.7494520.374726
340.5920050.8159910.407995
350.5902370.8195260.409763
360.6127420.7745160.387258
370.569840.8603190.43016
380.5267020.9465960.473298
390.4963020.9926040.503698
400.4632630.9265260.536737
410.4433080.8866160.556692
420.3997580.7995150.600242
430.3739120.7478240.626088
440.3562540.7125080.643746
450.4905560.9811130.509444
460.5028060.9943870.497194
470.4855190.9710370.514481
480.5308750.938250.469125
490.5352180.9295630.464782
500.5711840.8576320.428816
510.542380.9152410.45762
520.728210.5435790.27179
530.7021620.5956760.297838
540.6741570.6516860.325843
550.6420050.715990.357995
560.6137810.7724380.386219
570.5751760.8496490.424824
580.5371110.9257770.462889
590.6658420.6683170.334158
600.6549140.6901710.345086
610.6412470.7175060.358753
620.6293180.7413640.370682
630.606080.787840.39392
640.7171180.5657650.282882
650.7512760.4974470.248724
660.7946390.4107210.205361
670.8106530.3786950.189347
680.8866550.2266910.113345
690.9152310.1695380.0847689
700.9028750.1942510.0971254
710.9117740.1764520.088226
720.897590.2048190.10241
730.918990.1620190.0810095
740.9219560.1560890.0780443
750.9127580.1744840.0872422
760.9268820.1462360.0731182
770.9287040.1425930.0712963
780.917290.1654190.0827096
790.9112070.1775870.0887935
800.9162530.1674940.0837471
810.9063050.187390.0936952
820.900590.1988210.0994104
830.8876970.2246060.112303
840.8877340.2245310.112266
850.8845130.2309740.115487
860.8674180.2651630.132582
870.85630.2873990.1437
880.8703660.2592680.129634
890.8901040.2197910.109896
900.8876430.2247140.112357
910.8726080.2547830.127392
920.8850130.2299740.114987
930.8673130.2653740.132687
940.8511320.2977350.148868
950.8345140.3309710.165486
960.8207990.3584030.179201
970.8009940.3980130.199006
980.7775960.4448070.222404
990.7650560.4698890.234944
1000.7470580.5058840.252942
1010.7266750.5466510.273325
1020.7544310.4911380.245569
1030.7395580.5208840.260442
1040.7198080.5603840.280192
1050.6931780.6136440.306822
1060.6755880.6488230.324412
1070.6521460.6957070.347854
1080.6322590.7354810.367741
1090.6127240.7745510.387276
1100.6894620.6210750.310538
1110.6710040.6579920.328996
1120.6418280.7163430.358172
1130.6229370.7541260.377063
1140.6988570.6022850.301143
1150.7243080.5513840.275692
1160.7184770.5630460.281523
1170.7136290.5727430.286371
1180.6855960.6288080.314404
1190.7070520.5858960.292948
1200.7858540.4282910.214146
1210.7851260.4297480.214874
1220.7862510.4274980.213749
1230.8032880.3934250.196712
1240.794880.410240.20512
1250.8704620.2590770.129538
1260.8557590.2884810.144241
1270.8368820.3262350.163118
1280.8256020.3487960.174398
1290.8076580.3846830.192342
1300.7867830.4264340.213217
1310.7658310.4683380.234169
1320.7393560.5212870.260644
1330.7517920.4964150.248208
1340.7251280.5497440.274872
1350.6994150.601170.300585
1360.6933170.6133660.306683
1370.6958160.6083670.304184
1380.6666680.6666650.333332
1390.7692250.461550.230775
1400.762860.474280.23714
1410.7365570.5268860.263443
1420.7368090.5263810.263191
1430.7578880.4842240.242112
1440.7551020.4897950.244898
1450.7318580.5362850.268142
1460.7258980.5482040.274102
1470.715290.5694190.28471
1480.6877130.6245740.312287
1490.6582920.6834160.341708
1500.6332120.7335770.366788
1510.6698720.6602570.330128
1520.7023990.5952020.297601
1530.6733070.6533860.326693
1540.6775190.6449610.322481
1550.7291950.541610.270805
1560.7499160.5001670.250084
1570.7394750.5210490.260525
1580.7551480.4897040.244852
1590.7291980.5416040.270802
1600.7013790.5972420.298621
1610.6924070.6151860.307593
1620.6630080.6739840.336992
1630.6483580.7032840.351642
1640.6976590.6046810.302341
1650.8826090.2347830.117391
1660.8919550.216090.108045
1670.9163790.1672420.0836208
1680.9041340.1917320.095866
1690.8917650.2164710.108235
1700.8783080.2433850.121692
1710.8732980.2534050.126702
1720.8597990.2804020.140201
1730.8397740.3204510.160226
1740.8309740.3380530.169026
1750.8485980.3028030.151402
1760.8667610.2664790.133239
1770.8476030.3047950.152397
1780.8270380.3459250.172962
1790.8526950.294610.147305
1800.8534950.2930110.146505
1810.8790690.2418620.120931
1820.8658580.2682850.134142
1830.8496060.3007880.150394
1840.8607810.2784380.139219
1850.8411970.3176050.158803
1860.8521450.295710.147855
1870.8307390.3385220.169261
1880.8076610.3846780.192339
1890.7824030.4351950.217597
1900.7551410.4897180.244859
1910.7698310.4603370.230169
1920.7830730.4338540.216927
1930.7559280.4881440.244072
1940.7673850.465230.232615
1950.7384240.5231520.261576
1960.7233490.5533020.276651
1970.7239120.5521750.276088
1980.7394230.5211540.260577
1990.7155770.5688460.284423
2000.7011080.5977840.298892
2010.6681240.6637520.331876
2020.8806770.2386460.119323
2030.8850520.2298950.114948
2040.8797360.2405280.120264
2050.8617570.2764850.138243
2060.8421530.3156950.157847
2070.8460760.3078490.153924
2080.8872020.2255950.112798
2090.8981840.2036320.101816
2100.8878250.224350.112175
2110.8679680.2640630.132032
2120.9074340.1851320.092566
2130.912080.175840.0879202
2140.8945790.2108420.105421
2150.8894950.221010.110505
2160.8972410.2055180.102759
2170.8775980.2448050.122402
2180.8555530.2888930.144447
2190.900510.1989810.0994904
2200.9119430.1761140.0880571
2210.8940020.2119950.105998
2220.8908210.2183580.109179
2230.9216210.1567580.078379
2240.9046290.1907420.095371
2250.894010.2119790.10599
2260.926710.146580.0732899
2270.9357720.1284550.0642277
2280.9310230.1379540.0689772
2290.9205790.1588430.0794213
2300.9041780.1916450.0958225
2310.9138670.1722650.0861327
2320.9441310.1117370.0558685
2330.9463110.1073770.0536887
2340.9360590.1278830.0639415
2350.9657090.06858130.0342906
2360.9555720.08885670.0444284
2370.9674630.06507380.0325369
2380.9787350.04253010.0212651
2390.9804190.03916230.0195812
2400.9798010.0403980.020199
2410.9751920.04961520.0248076
2420.9661090.06778270.0338914
2430.9662810.06743780.0337189
2440.9543990.09120160.0456008
2450.9768070.04638590.023193
2460.9690010.0619980.030999
2470.9581240.08375240.0418762
2480.9853170.02936550.0146828
2490.983130.03374040.0168702
2500.979670.04065990.02033
2510.9790730.04185340.0209267
2520.9840860.03182770.0159139
2530.9774150.04516920.0225846
2540.9666410.06671760.0333588
2550.9526250.09475080.0473754
2560.9947110.01057890.00528945
2570.9919950.01601020.00800508
2580.9915290.01694110.00847057
2590.986510.02698020.0134901
2600.9790890.04182110.0209105
2610.9761130.04777450.0238873
2620.9859930.02801380.0140069
2630.9756160.04876820.0243841
2640.9603580.0792840.039642
2650.9346510.1306980.0653491
2660.8991470.2017070.100853
2670.8937390.2125210.106261
2680.8360060.3279870.163994
2690.7547630.4904750.245237
2700.6467250.706550.353275
2710.8067890.3864230.193211
2720.7177640.5644710.282236
2730.6400370.7199250.359963

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
6 & 0.235765 & 0.47153 & 0.764235 \tabularnewline
7 & 0.447015 & 0.89403 & 0.552985 \tabularnewline
8 & 0.380315 & 0.76063 & 0.619685 \tabularnewline
9 & 0.284034 & 0.568068 & 0.715966 \tabularnewline
10 & 0.333461 & 0.666922 & 0.666539 \tabularnewline
11 & 0.245248 & 0.490496 & 0.754752 \tabularnewline
12 & 0.168969 & 0.337938 & 0.831031 \tabularnewline
13 & 0.176901 & 0.353802 & 0.823099 \tabularnewline
14 & 0.142028 & 0.284055 & 0.857972 \tabularnewline
15 & 0.598932 & 0.802137 & 0.401068 \tabularnewline
16 & 0.646768 & 0.706464 & 0.353232 \tabularnewline
17 & 0.595301 & 0.809398 & 0.404699 \tabularnewline
18 & 0.534164 & 0.931671 & 0.465836 \tabularnewline
19 & 0.463058 & 0.926117 & 0.536942 \tabularnewline
20 & 0.399972 & 0.799943 & 0.600028 \tabularnewline
21 & 0.342127 & 0.684255 & 0.657873 \tabularnewline
22 & 0.283249 & 0.566498 & 0.716751 \tabularnewline
23 & 0.501477 & 0.997046 & 0.498523 \tabularnewline
24 & 0.522949 & 0.954103 & 0.477051 \tabularnewline
25 & 0.462182 & 0.924363 & 0.537818 \tabularnewline
26 & 0.756356 & 0.487288 & 0.243644 \tabularnewline
27 & 0.710984 & 0.578033 & 0.289016 \tabularnewline
28 & 0.759231 & 0.481538 & 0.240769 \tabularnewline
29 & 0.715887 & 0.568226 & 0.284113 \tabularnewline
30 & 0.671808 & 0.656383 & 0.328192 \tabularnewline
31 & 0.709058 & 0.581885 & 0.290942 \tabularnewline
32 & 0.667912 & 0.664175 & 0.332088 \tabularnewline
33 & 0.625274 & 0.749452 & 0.374726 \tabularnewline
34 & 0.592005 & 0.815991 & 0.407995 \tabularnewline
35 & 0.590237 & 0.819526 & 0.409763 \tabularnewline
36 & 0.612742 & 0.774516 & 0.387258 \tabularnewline
37 & 0.56984 & 0.860319 & 0.43016 \tabularnewline
38 & 0.526702 & 0.946596 & 0.473298 \tabularnewline
39 & 0.496302 & 0.992604 & 0.503698 \tabularnewline
40 & 0.463263 & 0.926526 & 0.536737 \tabularnewline
41 & 0.443308 & 0.886616 & 0.556692 \tabularnewline
42 & 0.399758 & 0.799515 & 0.600242 \tabularnewline
43 & 0.373912 & 0.747824 & 0.626088 \tabularnewline
44 & 0.356254 & 0.712508 & 0.643746 \tabularnewline
45 & 0.490556 & 0.981113 & 0.509444 \tabularnewline
46 & 0.502806 & 0.994387 & 0.497194 \tabularnewline
47 & 0.485519 & 0.971037 & 0.514481 \tabularnewline
48 & 0.530875 & 0.93825 & 0.469125 \tabularnewline
49 & 0.535218 & 0.929563 & 0.464782 \tabularnewline
50 & 0.571184 & 0.857632 & 0.428816 \tabularnewline
51 & 0.54238 & 0.915241 & 0.45762 \tabularnewline
52 & 0.72821 & 0.543579 & 0.27179 \tabularnewline
53 & 0.702162 & 0.595676 & 0.297838 \tabularnewline
54 & 0.674157 & 0.651686 & 0.325843 \tabularnewline
55 & 0.642005 & 0.71599 & 0.357995 \tabularnewline
56 & 0.613781 & 0.772438 & 0.386219 \tabularnewline
57 & 0.575176 & 0.849649 & 0.424824 \tabularnewline
58 & 0.537111 & 0.925777 & 0.462889 \tabularnewline
59 & 0.665842 & 0.668317 & 0.334158 \tabularnewline
60 & 0.654914 & 0.690171 & 0.345086 \tabularnewline
61 & 0.641247 & 0.717506 & 0.358753 \tabularnewline
62 & 0.629318 & 0.741364 & 0.370682 \tabularnewline
63 & 0.60608 & 0.78784 & 0.39392 \tabularnewline
64 & 0.717118 & 0.565765 & 0.282882 \tabularnewline
65 & 0.751276 & 0.497447 & 0.248724 \tabularnewline
66 & 0.794639 & 0.410721 & 0.205361 \tabularnewline
67 & 0.810653 & 0.378695 & 0.189347 \tabularnewline
68 & 0.886655 & 0.226691 & 0.113345 \tabularnewline
69 & 0.915231 & 0.169538 & 0.0847689 \tabularnewline
70 & 0.902875 & 0.194251 & 0.0971254 \tabularnewline
71 & 0.911774 & 0.176452 & 0.088226 \tabularnewline
72 & 0.89759 & 0.204819 & 0.10241 \tabularnewline
73 & 0.91899 & 0.162019 & 0.0810095 \tabularnewline
74 & 0.921956 & 0.156089 & 0.0780443 \tabularnewline
75 & 0.912758 & 0.174484 & 0.0872422 \tabularnewline
76 & 0.926882 & 0.146236 & 0.0731182 \tabularnewline
77 & 0.928704 & 0.142593 & 0.0712963 \tabularnewline
78 & 0.91729 & 0.165419 & 0.0827096 \tabularnewline
79 & 0.911207 & 0.177587 & 0.0887935 \tabularnewline
80 & 0.916253 & 0.167494 & 0.0837471 \tabularnewline
81 & 0.906305 & 0.18739 & 0.0936952 \tabularnewline
82 & 0.90059 & 0.198821 & 0.0994104 \tabularnewline
83 & 0.887697 & 0.224606 & 0.112303 \tabularnewline
84 & 0.887734 & 0.224531 & 0.112266 \tabularnewline
85 & 0.884513 & 0.230974 & 0.115487 \tabularnewline
86 & 0.867418 & 0.265163 & 0.132582 \tabularnewline
87 & 0.8563 & 0.287399 & 0.1437 \tabularnewline
88 & 0.870366 & 0.259268 & 0.129634 \tabularnewline
89 & 0.890104 & 0.219791 & 0.109896 \tabularnewline
90 & 0.887643 & 0.224714 & 0.112357 \tabularnewline
91 & 0.872608 & 0.254783 & 0.127392 \tabularnewline
92 & 0.885013 & 0.229974 & 0.114987 \tabularnewline
93 & 0.867313 & 0.265374 & 0.132687 \tabularnewline
94 & 0.851132 & 0.297735 & 0.148868 \tabularnewline
95 & 0.834514 & 0.330971 & 0.165486 \tabularnewline
96 & 0.820799 & 0.358403 & 0.179201 \tabularnewline
97 & 0.800994 & 0.398013 & 0.199006 \tabularnewline
98 & 0.777596 & 0.444807 & 0.222404 \tabularnewline
99 & 0.765056 & 0.469889 & 0.234944 \tabularnewline
100 & 0.747058 & 0.505884 & 0.252942 \tabularnewline
101 & 0.726675 & 0.546651 & 0.273325 \tabularnewline
102 & 0.754431 & 0.491138 & 0.245569 \tabularnewline
103 & 0.739558 & 0.520884 & 0.260442 \tabularnewline
104 & 0.719808 & 0.560384 & 0.280192 \tabularnewline
105 & 0.693178 & 0.613644 & 0.306822 \tabularnewline
106 & 0.675588 & 0.648823 & 0.324412 \tabularnewline
107 & 0.652146 & 0.695707 & 0.347854 \tabularnewline
108 & 0.632259 & 0.735481 & 0.367741 \tabularnewline
109 & 0.612724 & 0.774551 & 0.387276 \tabularnewline
110 & 0.689462 & 0.621075 & 0.310538 \tabularnewline
111 & 0.671004 & 0.657992 & 0.328996 \tabularnewline
112 & 0.641828 & 0.716343 & 0.358172 \tabularnewline
113 & 0.622937 & 0.754126 & 0.377063 \tabularnewline
114 & 0.698857 & 0.602285 & 0.301143 \tabularnewline
115 & 0.724308 & 0.551384 & 0.275692 \tabularnewline
116 & 0.718477 & 0.563046 & 0.281523 \tabularnewline
117 & 0.713629 & 0.572743 & 0.286371 \tabularnewline
118 & 0.685596 & 0.628808 & 0.314404 \tabularnewline
119 & 0.707052 & 0.585896 & 0.292948 \tabularnewline
120 & 0.785854 & 0.428291 & 0.214146 \tabularnewline
121 & 0.785126 & 0.429748 & 0.214874 \tabularnewline
122 & 0.786251 & 0.427498 & 0.213749 \tabularnewline
123 & 0.803288 & 0.393425 & 0.196712 \tabularnewline
124 & 0.79488 & 0.41024 & 0.20512 \tabularnewline
125 & 0.870462 & 0.259077 & 0.129538 \tabularnewline
126 & 0.855759 & 0.288481 & 0.144241 \tabularnewline
127 & 0.836882 & 0.326235 & 0.163118 \tabularnewline
128 & 0.825602 & 0.348796 & 0.174398 \tabularnewline
129 & 0.807658 & 0.384683 & 0.192342 \tabularnewline
130 & 0.786783 & 0.426434 & 0.213217 \tabularnewline
131 & 0.765831 & 0.468338 & 0.234169 \tabularnewline
132 & 0.739356 & 0.521287 & 0.260644 \tabularnewline
133 & 0.751792 & 0.496415 & 0.248208 \tabularnewline
134 & 0.725128 & 0.549744 & 0.274872 \tabularnewline
135 & 0.699415 & 0.60117 & 0.300585 \tabularnewline
136 & 0.693317 & 0.613366 & 0.306683 \tabularnewline
137 & 0.695816 & 0.608367 & 0.304184 \tabularnewline
138 & 0.666668 & 0.666665 & 0.333332 \tabularnewline
139 & 0.769225 & 0.46155 & 0.230775 \tabularnewline
140 & 0.76286 & 0.47428 & 0.23714 \tabularnewline
141 & 0.736557 & 0.526886 & 0.263443 \tabularnewline
142 & 0.736809 & 0.526381 & 0.263191 \tabularnewline
143 & 0.757888 & 0.484224 & 0.242112 \tabularnewline
144 & 0.755102 & 0.489795 & 0.244898 \tabularnewline
145 & 0.731858 & 0.536285 & 0.268142 \tabularnewline
146 & 0.725898 & 0.548204 & 0.274102 \tabularnewline
147 & 0.71529 & 0.569419 & 0.28471 \tabularnewline
148 & 0.687713 & 0.624574 & 0.312287 \tabularnewline
149 & 0.658292 & 0.683416 & 0.341708 \tabularnewline
150 & 0.633212 & 0.733577 & 0.366788 \tabularnewline
151 & 0.669872 & 0.660257 & 0.330128 \tabularnewline
152 & 0.702399 & 0.595202 & 0.297601 \tabularnewline
153 & 0.673307 & 0.653386 & 0.326693 \tabularnewline
154 & 0.677519 & 0.644961 & 0.322481 \tabularnewline
155 & 0.729195 & 0.54161 & 0.270805 \tabularnewline
156 & 0.749916 & 0.500167 & 0.250084 \tabularnewline
157 & 0.739475 & 0.521049 & 0.260525 \tabularnewline
158 & 0.755148 & 0.489704 & 0.244852 \tabularnewline
159 & 0.729198 & 0.541604 & 0.270802 \tabularnewline
160 & 0.701379 & 0.597242 & 0.298621 \tabularnewline
161 & 0.692407 & 0.615186 & 0.307593 \tabularnewline
162 & 0.663008 & 0.673984 & 0.336992 \tabularnewline
163 & 0.648358 & 0.703284 & 0.351642 \tabularnewline
164 & 0.697659 & 0.604681 & 0.302341 \tabularnewline
165 & 0.882609 & 0.234783 & 0.117391 \tabularnewline
166 & 0.891955 & 0.21609 & 0.108045 \tabularnewline
167 & 0.916379 & 0.167242 & 0.0836208 \tabularnewline
168 & 0.904134 & 0.191732 & 0.095866 \tabularnewline
169 & 0.891765 & 0.216471 & 0.108235 \tabularnewline
170 & 0.878308 & 0.243385 & 0.121692 \tabularnewline
171 & 0.873298 & 0.253405 & 0.126702 \tabularnewline
172 & 0.859799 & 0.280402 & 0.140201 \tabularnewline
173 & 0.839774 & 0.320451 & 0.160226 \tabularnewline
174 & 0.830974 & 0.338053 & 0.169026 \tabularnewline
175 & 0.848598 & 0.302803 & 0.151402 \tabularnewline
176 & 0.866761 & 0.266479 & 0.133239 \tabularnewline
177 & 0.847603 & 0.304795 & 0.152397 \tabularnewline
178 & 0.827038 & 0.345925 & 0.172962 \tabularnewline
179 & 0.852695 & 0.29461 & 0.147305 \tabularnewline
180 & 0.853495 & 0.293011 & 0.146505 \tabularnewline
181 & 0.879069 & 0.241862 & 0.120931 \tabularnewline
182 & 0.865858 & 0.268285 & 0.134142 \tabularnewline
183 & 0.849606 & 0.300788 & 0.150394 \tabularnewline
184 & 0.860781 & 0.278438 & 0.139219 \tabularnewline
185 & 0.841197 & 0.317605 & 0.158803 \tabularnewline
186 & 0.852145 & 0.29571 & 0.147855 \tabularnewline
187 & 0.830739 & 0.338522 & 0.169261 \tabularnewline
188 & 0.807661 & 0.384678 & 0.192339 \tabularnewline
189 & 0.782403 & 0.435195 & 0.217597 \tabularnewline
190 & 0.755141 & 0.489718 & 0.244859 \tabularnewline
191 & 0.769831 & 0.460337 & 0.230169 \tabularnewline
192 & 0.783073 & 0.433854 & 0.216927 \tabularnewline
193 & 0.755928 & 0.488144 & 0.244072 \tabularnewline
194 & 0.767385 & 0.46523 & 0.232615 \tabularnewline
195 & 0.738424 & 0.523152 & 0.261576 \tabularnewline
196 & 0.723349 & 0.553302 & 0.276651 \tabularnewline
197 & 0.723912 & 0.552175 & 0.276088 \tabularnewline
198 & 0.739423 & 0.521154 & 0.260577 \tabularnewline
199 & 0.715577 & 0.568846 & 0.284423 \tabularnewline
200 & 0.701108 & 0.597784 & 0.298892 \tabularnewline
201 & 0.668124 & 0.663752 & 0.331876 \tabularnewline
202 & 0.880677 & 0.238646 & 0.119323 \tabularnewline
203 & 0.885052 & 0.229895 & 0.114948 \tabularnewline
204 & 0.879736 & 0.240528 & 0.120264 \tabularnewline
205 & 0.861757 & 0.276485 & 0.138243 \tabularnewline
206 & 0.842153 & 0.315695 & 0.157847 \tabularnewline
207 & 0.846076 & 0.307849 & 0.153924 \tabularnewline
208 & 0.887202 & 0.225595 & 0.112798 \tabularnewline
209 & 0.898184 & 0.203632 & 0.101816 \tabularnewline
210 & 0.887825 & 0.22435 & 0.112175 \tabularnewline
211 & 0.867968 & 0.264063 & 0.132032 \tabularnewline
212 & 0.907434 & 0.185132 & 0.092566 \tabularnewline
213 & 0.91208 & 0.17584 & 0.0879202 \tabularnewline
214 & 0.894579 & 0.210842 & 0.105421 \tabularnewline
215 & 0.889495 & 0.22101 & 0.110505 \tabularnewline
216 & 0.897241 & 0.205518 & 0.102759 \tabularnewline
217 & 0.877598 & 0.244805 & 0.122402 \tabularnewline
218 & 0.855553 & 0.288893 & 0.144447 \tabularnewline
219 & 0.90051 & 0.198981 & 0.0994904 \tabularnewline
220 & 0.911943 & 0.176114 & 0.0880571 \tabularnewline
221 & 0.894002 & 0.211995 & 0.105998 \tabularnewline
222 & 0.890821 & 0.218358 & 0.109179 \tabularnewline
223 & 0.921621 & 0.156758 & 0.078379 \tabularnewline
224 & 0.904629 & 0.190742 & 0.095371 \tabularnewline
225 & 0.89401 & 0.211979 & 0.10599 \tabularnewline
226 & 0.92671 & 0.14658 & 0.0732899 \tabularnewline
227 & 0.935772 & 0.128455 & 0.0642277 \tabularnewline
228 & 0.931023 & 0.137954 & 0.0689772 \tabularnewline
229 & 0.920579 & 0.158843 & 0.0794213 \tabularnewline
230 & 0.904178 & 0.191645 & 0.0958225 \tabularnewline
231 & 0.913867 & 0.172265 & 0.0861327 \tabularnewline
232 & 0.944131 & 0.111737 & 0.0558685 \tabularnewline
233 & 0.946311 & 0.107377 & 0.0536887 \tabularnewline
234 & 0.936059 & 0.127883 & 0.0639415 \tabularnewline
235 & 0.965709 & 0.0685813 & 0.0342906 \tabularnewline
236 & 0.955572 & 0.0888567 & 0.0444284 \tabularnewline
237 & 0.967463 & 0.0650738 & 0.0325369 \tabularnewline
238 & 0.978735 & 0.0425301 & 0.0212651 \tabularnewline
239 & 0.980419 & 0.0391623 & 0.0195812 \tabularnewline
240 & 0.979801 & 0.040398 & 0.020199 \tabularnewline
241 & 0.975192 & 0.0496152 & 0.0248076 \tabularnewline
242 & 0.966109 & 0.0677827 & 0.0338914 \tabularnewline
243 & 0.966281 & 0.0674378 & 0.0337189 \tabularnewline
244 & 0.954399 & 0.0912016 & 0.0456008 \tabularnewline
245 & 0.976807 & 0.0463859 & 0.023193 \tabularnewline
246 & 0.969001 & 0.061998 & 0.030999 \tabularnewline
247 & 0.958124 & 0.0837524 & 0.0418762 \tabularnewline
248 & 0.985317 & 0.0293655 & 0.0146828 \tabularnewline
249 & 0.98313 & 0.0337404 & 0.0168702 \tabularnewline
250 & 0.97967 & 0.0406599 & 0.02033 \tabularnewline
251 & 0.979073 & 0.0418534 & 0.0209267 \tabularnewline
252 & 0.984086 & 0.0318277 & 0.0159139 \tabularnewline
253 & 0.977415 & 0.0451692 & 0.0225846 \tabularnewline
254 & 0.966641 & 0.0667176 & 0.0333588 \tabularnewline
255 & 0.952625 & 0.0947508 & 0.0473754 \tabularnewline
256 & 0.994711 & 0.0105789 & 0.00528945 \tabularnewline
257 & 0.991995 & 0.0160102 & 0.00800508 \tabularnewline
258 & 0.991529 & 0.0169411 & 0.00847057 \tabularnewline
259 & 0.98651 & 0.0269802 & 0.0134901 \tabularnewline
260 & 0.979089 & 0.0418211 & 0.0209105 \tabularnewline
261 & 0.976113 & 0.0477745 & 0.0238873 \tabularnewline
262 & 0.985993 & 0.0280138 & 0.0140069 \tabularnewline
263 & 0.975616 & 0.0487682 & 0.0243841 \tabularnewline
264 & 0.960358 & 0.079284 & 0.039642 \tabularnewline
265 & 0.934651 & 0.130698 & 0.0653491 \tabularnewline
266 & 0.899147 & 0.201707 & 0.100853 \tabularnewline
267 & 0.893739 & 0.212521 & 0.106261 \tabularnewline
268 & 0.836006 & 0.327987 & 0.163994 \tabularnewline
269 & 0.754763 & 0.490475 & 0.245237 \tabularnewline
270 & 0.646725 & 0.70655 & 0.353275 \tabularnewline
271 & 0.806789 & 0.386423 & 0.193211 \tabularnewline
272 & 0.717764 & 0.564471 & 0.282236 \tabularnewline
273 & 0.640037 & 0.719925 & 0.359963 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268262&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]6[/C][C]0.235765[/C][C]0.47153[/C][C]0.764235[/C][/ROW]
[ROW][C]7[/C][C]0.447015[/C][C]0.89403[/C][C]0.552985[/C][/ROW]
[ROW][C]8[/C][C]0.380315[/C][C]0.76063[/C][C]0.619685[/C][/ROW]
[ROW][C]9[/C][C]0.284034[/C][C]0.568068[/C][C]0.715966[/C][/ROW]
[ROW][C]10[/C][C]0.333461[/C][C]0.666922[/C][C]0.666539[/C][/ROW]
[ROW][C]11[/C][C]0.245248[/C][C]0.490496[/C][C]0.754752[/C][/ROW]
[ROW][C]12[/C][C]0.168969[/C][C]0.337938[/C][C]0.831031[/C][/ROW]
[ROW][C]13[/C][C]0.176901[/C][C]0.353802[/C][C]0.823099[/C][/ROW]
[ROW][C]14[/C][C]0.142028[/C][C]0.284055[/C][C]0.857972[/C][/ROW]
[ROW][C]15[/C][C]0.598932[/C][C]0.802137[/C][C]0.401068[/C][/ROW]
[ROW][C]16[/C][C]0.646768[/C][C]0.706464[/C][C]0.353232[/C][/ROW]
[ROW][C]17[/C][C]0.595301[/C][C]0.809398[/C][C]0.404699[/C][/ROW]
[ROW][C]18[/C][C]0.534164[/C][C]0.931671[/C][C]0.465836[/C][/ROW]
[ROW][C]19[/C][C]0.463058[/C][C]0.926117[/C][C]0.536942[/C][/ROW]
[ROW][C]20[/C][C]0.399972[/C][C]0.799943[/C][C]0.600028[/C][/ROW]
[ROW][C]21[/C][C]0.342127[/C][C]0.684255[/C][C]0.657873[/C][/ROW]
[ROW][C]22[/C][C]0.283249[/C][C]0.566498[/C][C]0.716751[/C][/ROW]
[ROW][C]23[/C][C]0.501477[/C][C]0.997046[/C][C]0.498523[/C][/ROW]
[ROW][C]24[/C][C]0.522949[/C][C]0.954103[/C][C]0.477051[/C][/ROW]
[ROW][C]25[/C][C]0.462182[/C][C]0.924363[/C][C]0.537818[/C][/ROW]
[ROW][C]26[/C][C]0.756356[/C][C]0.487288[/C][C]0.243644[/C][/ROW]
[ROW][C]27[/C][C]0.710984[/C][C]0.578033[/C][C]0.289016[/C][/ROW]
[ROW][C]28[/C][C]0.759231[/C][C]0.481538[/C][C]0.240769[/C][/ROW]
[ROW][C]29[/C][C]0.715887[/C][C]0.568226[/C][C]0.284113[/C][/ROW]
[ROW][C]30[/C][C]0.671808[/C][C]0.656383[/C][C]0.328192[/C][/ROW]
[ROW][C]31[/C][C]0.709058[/C][C]0.581885[/C][C]0.290942[/C][/ROW]
[ROW][C]32[/C][C]0.667912[/C][C]0.664175[/C][C]0.332088[/C][/ROW]
[ROW][C]33[/C][C]0.625274[/C][C]0.749452[/C][C]0.374726[/C][/ROW]
[ROW][C]34[/C][C]0.592005[/C][C]0.815991[/C][C]0.407995[/C][/ROW]
[ROW][C]35[/C][C]0.590237[/C][C]0.819526[/C][C]0.409763[/C][/ROW]
[ROW][C]36[/C][C]0.612742[/C][C]0.774516[/C][C]0.387258[/C][/ROW]
[ROW][C]37[/C][C]0.56984[/C][C]0.860319[/C][C]0.43016[/C][/ROW]
[ROW][C]38[/C][C]0.526702[/C][C]0.946596[/C][C]0.473298[/C][/ROW]
[ROW][C]39[/C][C]0.496302[/C][C]0.992604[/C][C]0.503698[/C][/ROW]
[ROW][C]40[/C][C]0.463263[/C][C]0.926526[/C][C]0.536737[/C][/ROW]
[ROW][C]41[/C][C]0.443308[/C][C]0.886616[/C][C]0.556692[/C][/ROW]
[ROW][C]42[/C][C]0.399758[/C][C]0.799515[/C][C]0.600242[/C][/ROW]
[ROW][C]43[/C][C]0.373912[/C][C]0.747824[/C][C]0.626088[/C][/ROW]
[ROW][C]44[/C][C]0.356254[/C][C]0.712508[/C][C]0.643746[/C][/ROW]
[ROW][C]45[/C][C]0.490556[/C][C]0.981113[/C][C]0.509444[/C][/ROW]
[ROW][C]46[/C][C]0.502806[/C][C]0.994387[/C][C]0.497194[/C][/ROW]
[ROW][C]47[/C][C]0.485519[/C][C]0.971037[/C][C]0.514481[/C][/ROW]
[ROW][C]48[/C][C]0.530875[/C][C]0.93825[/C][C]0.469125[/C][/ROW]
[ROW][C]49[/C][C]0.535218[/C][C]0.929563[/C][C]0.464782[/C][/ROW]
[ROW][C]50[/C][C]0.571184[/C][C]0.857632[/C][C]0.428816[/C][/ROW]
[ROW][C]51[/C][C]0.54238[/C][C]0.915241[/C][C]0.45762[/C][/ROW]
[ROW][C]52[/C][C]0.72821[/C][C]0.543579[/C][C]0.27179[/C][/ROW]
[ROW][C]53[/C][C]0.702162[/C][C]0.595676[/C][C]0.297838[/C][/ROW]
[ROW][C]54[/C][C]0.674157[/C][C]0.651686[/C][C]0.325843[/C][/ROW]
[ROW][C]55[/C][C]0.642005[/C][C]0.71599[/C][C]0.357995[/C][/ROW]
[ROW][C]56[/C][C]0.613781[/C][C]0.772438[/C][C]0.386219[/C][/ROW]
[ROW][C]57[/C][C]0.575176[/C][C]0.849649[/C][C]0.424824[/C][/ROW]
[ROW][C]58[/C][C]0.537111[/C][C]0.925777[/C][C]0.462889[/C][/ROW]
[ROW][C]59[/C][C]0.665842[/C][C]0.668317[/C][C]0.334158[/C][/ROW]
[ROW][C]60[/C][C]0.654914[/C][C]0.690171[/C][C]0.345086[/C][/ROW]
[ROW][C]61[/C][C]0.641247[/C][C]0.717506[/C][C]0.358753[/C][/ROW]
[ROW][C]62[/C][C]0.629318[/C][C]0.741364[/C][C]0.370682[/C][/ROW]
[ROW][C]63[/C][C]0.60608[/C][C]0.78784[/C][C]0.39392[/C][/ROW]
[ROW][C]64[/C][C]0.717118[/C][C]0.565765[/C][C]0.282882[/C][/ROW]
[ROW][C]65[/C][C]0.751276[/C][C]0.497447[/C][C]0.248724[/C][/ROW]
[ROW][C]66[/C][C]0.794639[/C][C]0.410721[/C][C]0.205361[/C][/ROW]
[ROW][C]67[/C][C]0.810653[/C][C]0.378695[/C][C]0.189347[/C][/ROW]
[ROW][C]68[/C][C]0.886655[/C][C]0.226691[/C][C]0.113345[/C][/ROW]
[ROW][C]69[/C][C]0.915231[/C][C]0.169538[/C][C]0.0847689[/C][/ROW]
[ROW][C]70[/C][C]0.902875[/C][C]0.194251[/C][C]0.0971254[/C][/ROW]
[ROW][C]71[/C][C]0.911774[/C][C]0.176452[/C][C]0.088226[/C][/ROW]
[ROW][C]72[/C][C]0.89759[/C][C]0.204819[/C][C]0.10241[/C][/ROW]
[ROW][C]73[/C][C]0.91899[/C][C]0.162019[/C][C]0.0810095[/C][/ROW]
[ROW][C]74[/C][C]0.921956[/C][C]0.156089[/C][C]0.0780443[/C][/ROW]
[ROW][C]75[/C][C]0.912758[/C][C]0.174484[/C][C]0.0872422[/C][/ROW]
[ROW][C]76[/C][C]0.926882[/C][C]0.146236[/C][C]0.0731182[/C][/ROW]
[ROW][C]77[/C][C]0.928704[/C][C]0.142593[/C][C]0.0712963[/C][/ROW]
[ROW][C]78[/C][C]0.91729[/C][C]0.165419[/C][C]0.0827096[/C][/ROW]
[ROW][C]79[/C][C]0.911207[/C][C]0.177587[/C][C]0.0887935[/C][/ROW]
[ROW][C]80[/C][C]0.916253[/C][C]0.167494[/C][C]0.0837471[/C][/ROW]
[ROW][C]81[/C][C]0.906305[/C][C]0.18739[/C][C]0.0936952[/C][/ROW]
[ROW][C]82[/C][C]0.90059[/C][C]0.198821[/C][C]0.0994104[/C][/ROW]
[ROW][C]83[/C][C]0.887697[/C][C]0.224606[/C][C]0.112303[/C][/ROW]
[ROW][C]84[/C][C]0.887734[/C][C]0.224531[/C][C]0.112266[/C][/ROW]
[ROW][C]85[/C][C]0.884513[/C][C]0.230974[/C][C]0.115487[/C][/ROW]
[ROW][C]86[/C][C]0.867418[/C][C]0.265163[/C][C]0.132582[/C][/ROW]
[ROW][C]87[/C][C]0.8563[/C][C]0.287399[/C][C]0.1437[/C][/ROW]
[ROW][C]88[/C][C]0.870366[/C][C]0.259268[/C][C]0.129634[/C][/ROW]
[ROW][C]89[/C][C]0.890104[/C][C]0.219791[/C][C]0.109896[/C][/ROW]
[ROW][C]90[/C][C]0.887643[/C][C]0.224714[/C][C]0.112357[/C][/ROW]
[ROW][C]91[/C][C]0.872608[/C][C]0.254783[/C][C]0.127392[/C][/ROW]
[ROW][C]92[/C][C]0.885013[/C][C]0.229974[/C][C]0.114987[/C][/ROW]
[ROW][C]93[/C][C]0.867313[/C][C]0.265374[/C][C]0.132687[/C][/ROW]
[ROW][C]94[/C][C]0.851132[/C][C]0.297735[/C][C]0.148868[/C][/ROW]
[ROW][C]95[/C][C]0.834514[/C][C]0.330971[/C][C]0.165486[/C][/ROW]
[ROW][C]96[/C][C]0.820799[/C][C]0.358403[/C][C]0.179201[/C][/ROW]
[ROW][C]97[/C][C]0.800994[/C][C]0.398013[/C][C]0.199006[/C][/ROW]
[ROW][C]98[/C][C]0.777596[/C][C]0.444807[/C][C]0.222404[/C][/ROW]
[ROW][C]99[/C][C]0.765056[/C][C]0.469889[/C][C]0.234944[/C][/ROW]
[ROW][C]100[/C][C]0.747058[/C][C]0.505884[/C][C]0.252942[/C][/ROW]
[ROW][C]101[/C][C]0.726675[/C][C]0.546651[/C][C]0.273325[/C][/ROW]
[ROW][C]102[/C][C]0.754431[/C][C]0.491138[/C][C]0.245569[/C][/ROW]
[ROW][C]103[/C][C]0.739558[/C][C]0.520884[/C][C]0.260442[/C][/ROW]
[ROW][C]104[/C][C]0.719808[/C][C]0.560384[/C][C]0.280192[/C][/ROW]
[ROW][C]105[/C][C]0.693178[/C][C]0.613644[/C][C]0.306822[/C][/ROW]
[ROW][C]106[/C][C]0.675588[/C][C]0.648823[/C][C]0.324412[/C][/ROW]
[ROW][C]107[/C][C]0.652146[/C][C]0.695707[/C][C]0.347854[/C][/ROW]
[ROW][C]108[/C][C]0.632259[/C][C]0.735481[/C][C]0.367741[/C][/ROW]
[ROW][C]109[/C][C]0.612724[/C][C]0.774551[/C][C]0.387276[/C][/ROW]
[ROW][C]110[/C][C]0.689462[/C][C]0.621075[/C][C]0.310538[/C][/ROW]
[ROW][C]111[/C][C]0.671004[/C][C]0.657992[/C][C]0.328996[/C][/ROW]
[ROW][C]112[/C][C]0.641828[/C][C]0.716343[/C][C]0.358172[/C][/ROW]
[ROW][C]113[/C][C]0.622937[/C][C]0.754126[/C][C]0.377063[/C][/ROW]
[ROW][C]114[/C][C]0.698857[/C][C]0.602285[/C][C]0.301143[/C][/ROW]
[ROW][C]115[/C][C]0.724308[/C][C]0.551384[/C][C]0.275692[/C][/ROW]
[ROW][C]116[/C][C]0.718477[/C][C]0.563046[/C][C]0.281523[/C][/ROW]
[ROW][C]117[/C][C]0.713629[/C][C]0.572743[/C][C]0.286371[/C][/ROW]
[ROW][C]118[/C][C]0.685596[/C][C]0.628808[/C][C]0.314404[/C][/ROW]
[ROW][C]119[/C][C]0.707052[/C][C]0.585896[/C][C]0.292948[/C][/ROW]
[ROW][C]120[/C][C]0.785854[/C][C]0.428291[/C][C]0.214146[/C][/ROW]
[ROW][C]121[/C][C]0.785126[/C][C]0.429748[/C][C]0.214874[/C][/ROW]
[ROW][C]122[/C][C]0.786251[/C][C]0.427498[/C][C]0.213749[/C][/ROW]
[ROW][C]123[/C][C]0.803288[/C][C]0.393425[/C][C]0.196712[/C][/ROW]
[ROW][C]124[/C][C]0.79488[/C][C]0.41024[/C][C]0.20512[/C][/ROW]
[ROW][C]125[/C][C]0.870462[/C][C]0.259077[/C][C]0.129538[/C][/ROW]
[ROW][C]126[/C][C]0.855759[/C][C]0.288481[/C][C]0.144241[/C][/ROW]
[ROW][C]127[/C][C]0.836882[/C][C]0.326235[/C][C]0.163118[/C][/ROW]
[ROW][C]128[/C][C]0.825602[/C][C]0.348796[/C][C]0.174398[/C][/ROW]
[ROW][C]129[/C][C]0.807658[/C][C]0.384683[/C][C]0.192342[/C][/ROW]
[ROW][C]130[/C][C]0.786783[/C][C]0.426434[/C][C]0.213217[/C][/ROW]
[ROW][C]131[/C][C]0.765831[/C][C]0.468338[/C][C]0.234169[/C][/ROW]
[ROW][C]132[/C][C]0.739356[/C][C]0.521287[/C][C]0.260644[/C][/ROW]
[ROW][C]133[/C][C]0.751792[/C][C]0.496415[/C][C]0.248208[/C][/ROW]
[ROW][C]134[/C][C]0.725128[/C][C]0.549744[/C][C]0.274872[/C][/ROW]
[ROW][C]135[/C][C]0.699415[/C][C]0.60117[/C][C]0.300585[/C][/ROW]
[ROW][C]136[/C][C]0.693317[/C][C]0.613366[/C][C]0.306683[/C][/ROW]
[ROW][C]137[/C][C]0.695816[/C][C]0.608367[/C][C]0.304184[/C][/ROW]
[ROW][C]138[/C][C]0.666668[/C][C]0.666665[/C][C]0.333332[/C][/ROW]
[ROW][C]139[/C][C]0.769225[/C][C]0.46155[/C][C]0.230775[/C][/ROW]
[ROW][C]140[/C][C]0.76286[/C][C]0.47428[/C][C]0.23714[/C][/ROW]
[ROW][C]141[/C][C]0.736557[/C][C]0.526886[/C][C]0.263443[/C][/ROW]
[ROW][C]142[/C][C]0.736809[/C][C]0.526381[/C][C]0.263191[/C][/ROW]
[ROW][C]143[/C][C]0.757888[/C][C]0.484224[/C][C]0.242112[/C][/ROW]
[ROW][C]144[/C][C]0.755102[/C][C]0.489795[/C][C]0.244898[/C][/ROW]
[ROW][C]145[/C][C]0.731858[/C][C]0.536285[/C][C]0.268142[/C][/ROW]
[ROW][C]146[/C][C]0.725898[/C][C]0.548204[/C][C]0.274102[/C][/ROW]
[ROW][C]147[/C][C]0.71529[/C][C]0.569419[/C][C]0.28471[/C][/ROW]
[ROW][C]148[/C][C]0.687713[/C][C]0.624574[/C][C]0.312287[/C][/ROW]
[ROW][C]149[/C][C]0.658292[/C][C]0.683416[/C][C]0.341708[/C][/ROW]
[ROW][C]150[/C][C]0.633212[/C][C]0.733577[/C][C]0.366788[/C][/ROW]
[ROW][C]151[/C][C]0.669872[/C][C]0.660257[/C][C]0.330128[/C][/ROW]
[ROW][C]152[/C][C]0.702399[/C][C]0.595202[/C][C]0.297601[/C][/ROW]
[ROW][C]153[/C][C]0.673307[/C][C]0.653386[/C][C]0.326693[/C][/ROW]
[ROW][C]154[/C][C]0.677519[/C][C]0.644961[/C][C]0.322481[/C][/ROW]
[ROW][C]155[/C][C]0.729195[/C][C]0.54161[/C][C]0.270805[/C][/ROW]
[ROW][C]156[/C][C]0.749916[/C][C]0.500167[/C][C]0.250084[/C][/ROW]
[ROW][C]157[/C][C]0.739475[/C][C]0.521049[/C][C]0.260525[/C][/ROW]
[ROW][C]158[/C][C]0.755148[/C][C]0.489704[/C][C]0.244852[/C][/ROW]
[ROW][C]159[/C][C]0.729198[/C][C]0.541604[/C][C]0.270802[/C][/ROW]
[ROW][C]160[/C][C]0.701379[/C][C]0.597242[/C][C]0.298621[/C][/ROW]
[ROW][C]161[/C][C]0.692407[/C][C]0.615186[/C][C]0.307593[/C][/ROW]
[ROW][C]162[/C][C]0.663008[/C][C]0.673984[/C][C]0.336992[/C][/ROW]
[ROW][C]163[/C][C]0.648358[/C][C]0.703284[/C][C]0.351642[/C][/ROW]
[ROW][C]164[/C][C]0.697659[/C][C]0.604681[/C][C]0.302341[/C][/ROW]
[ROW][C]165[/C][C]0.882609[/C][C]0.234783[/C][C]0.117391[/C][/ROW]
[ROW][C]166[/C][C]0.891955[/C][C]0.21609[/C][C]0.108045[/C][/ROW]
[ROW][C]167[/C][C]0.916379[/C][C]0.167242[/C][C]0.0836208[/C][/ROW]
[ROW][C]168[/C][C]0.904134[/C][C]0.191732[/C][C]0.095866[/C][/ROW]
[ROW][C]169[/C][C]0.891765[/C][C]0.216471[/C][C]0.108235[/C][/ROW]
[ROW][C]170[/C][C]0.878308[/C][C]0.243385[/C][C]0.121692[/C][/ROW]
[ROW][C]171[/C][C]0.873298[/C][C]0.253405[/C][C]0.126702[/C][/ROW]
[ROW][C]172[/C][C]0.859799[/C][C]0.280402[/C][C]0.140201[/C][/ROW]
[ROW][C]173[/C][C]0.839774[/C][C]0.320451[/C][C]0.160226[/C][/ROW]
[ROW][C]174[/C][C]0.830974[/C][C]0.338053[/C][C]0.169026[/C][/ROW]
[ROW][C]175[/C][C]0.848598[/C][C]0.302803[/C][C]0.151402[/C][/ROW]
[ROW][C]176[/C][C]0.866761[/C][C]0.266479[/C][C]0.133239[/C][/ROW]
[ROW][C]177[/C][C]0.847603[/C][C]0.304795[/C][C]0.152397[/C][/ROW]
[ROW][C]178[/C][C]0.827038[/C][C]0.345925[/C][C]0.172962[/C][/ROW]
[ROW][C]179[/C][C]0.852695[/C][C]0.29461[/C][C]0.147305[/C][/ROW]
[ROW][C]180[/C][C]0.853495[/C][C]0.293011[/C][C]0.146505[/C][/ROW]
[ROW][C]181[/C][C]0.879069[/C][C]0.241862[/C][C]0.120931[/C][/ROW]
[ROW][C]182[/C][C]0.865858[/C][C]0.268285[/C][C]0.134142[/C][/ROW]
[ROW][C]183[/C][C]0.849606[/C][C]0.300788[/C][C]0.150394[/C][/ROW]
[ROW][C]184[/C][C]0.860781[/C][C]0.278438[/C][C]0.139219[/C][/ROW]
[ROW][C]185[/C][C]0.841197[/C][C]0.317605[/C][C]0.158803[/C][/ROW]
[ROW][C]186[/C][C]0.852145[/C][C]0.29571[/C][C]0.147855[/C][/ROW]
[ROW][C]187[/C][C]0.830739[/C][C]0.338522[/C][C]0.169261[/C][/ROW]
[ROW][C]188[/C][C]0.807661[/C][C]0.384678[/C][C]0.192339[/C][/ROW]
[ROW][C]189[/C][C]0.782403[/C][C]0.435195[/C][C]0.217597[/C][/ROW]
[ROW][C]190[/C][C]0.755141[/C][C]0.489718[/C][C]0.244859[/C][/ROW]
[ROW][C]191[/C][C]0.769831[/C][C]0.460337[/C][C]0.230169[/C][/ROW]
[ROW][C]192[/C][C]0.783073[/C][C]0.433854[/C][C]0.216927[/C][/ROW]
[ROW][C]193[/C][C]0.755928[/C][C]0.488144[/C][C]0.244072[/C][/ROW]
[ROW][C]194[/C][C]0.767385[/C][C]0.46523[/C][C]0.232615[/C][/ROW]
[ROW][C]195[/C][C]0.738424[/C][C]0.523152[/C][C]0.261576[/C][/ROW]
[ROW][C]196[/C][C]0.723349[/C][C]0.553302[/C][C]0.276651[/C][/ROW]
[ROW][C]197[/C][C]0.723912[/C][C]0.552175[/C][C]0.276088[/C][/ROW]
[ROW][C]198[/C][C]0.739423[/C][C]0.521154[/C][C]0.260577[/C][/ROW]
[ROW][C]199[/C][C]0.715577[/C][C]0.568846[/C][C]0.284423[/C][/ROW]
[ROW][C]200[/C][C]0.701108[/C][C]0.597784[/C][C]0.298892[/C][/ROW]
[ROW][C]201[/C][C]0.668124[/C][C]0.663752[/C][C]0.331876[/C][/ROW]
[ROW][C]202[/C][C]0.880677[/C][C]0.238646[/C][C]0.119323[/C][/ROW]
[ROW][C]203[/C][C]0.885052[/C][C]0.229895[/C][C]0.114948[/C][/ROW]
[ROW][C]204[/C][C]0.879736[/C][C]0.240528[/C][C]0.120264[/C][/ROW]
[ROW][C]205[/C][C]0.861757[/C][C]0.276485[/C][C]0.138243[/C][/ROW]
[ROW][C]206[/C][C]0.842153[/C][C]0.315695[/C][C]0.157847[/C][/ROW]
[ROW][C]207[/C][C]0.846076[/C][C]0.307849[/C][C]0.153924[/C][/ROW]
[ROW][C]208[/C][C]0.887202[/C][C]0.225595[/C][C]0.112798[/C][/ROW]
[ROW][C]209[/C][C]0.898184[/C][C]0.203632[/C][C]0.101816[/C][/ROW]
[ROW][C]210[/C][C]0.887825[/C][C]0.22435[/C][C]0.112175[/C][/ROW]
[ROW][C]211[/C][C]0.867968[/C][C]0.264063[/C][C]0.132032[/C][/ROW]
[ROW][C]212[/C][C]0.907434[/C][C]0.185132[/C][C]0.092566[/C][/ROW]
[ROW][C]213[/C][C]0.91208[/C][C]0.17584[/C][C]0.0879202[/C][/ROW]
[ROW][C]214[/C][C]0.894579[/C][C]0.210842[/C][C]0.105421[/C][/ROW]
[ROW][C]215[/C][C]0.889495[/C][C]0.22101[/C][C]0.110505[/C][/ROW]
[ROW][C]216[/C][C]0.897241[/C][C]0.205518[/C][C]0.102759[/C][/ROW]
[ROW][C]217[/C][C]0.877598[/C][C]0.244805[/C][C]0.122402[/C][/ROW]
[ROW][C]218[/C][C]0.855553[/C][C]0.288893[/C][C]0.144447[/C][/ROW]
[ROW][C]219[/C][C]0.90051[/C][C]0.198981[/C][C]0.0994904[/C][/ROW]
[ROW][C]220[/C][C]0.911943[/C][C]0.176114[/C][C]0.0880571[/C][/ROW]
[ROW][C]221[/C][C]0.894002[/C][C]0.211995[/C][C]0.105998[/C][/ROW]
[ROW][C]222[/C][C]0.890821[/C][C]0.218358[/C][C]0.109179[/C][/ROW]
[ROW][C]223[/C][C]0.921621[/C][C]0.156758[/C][C]0.078379[/C][/ROW]
[ROW][C]224[/C][C]0.904629[/C][C]0.190742[/C][C]0.095371[/C][/ROW]
[ROW][C]225[/C][C]0.89401[/C][C]0.211979[/C][C]0.10599[/C][/ROW]
[ROW][C]226[/C][C]0.92671[/C][C]0.14658[/C][C]0.0732899[/C][/ROW]
[ROW][C]227[/C][C]0.935772[/C][C]0.128455[/C][C]0.0642277[/C][/ROW]
[ROW][C]228[/C][C]0.931023[/C][C]0.137954[/C][C]0.0689772[/C][/ROW]
[ROW][C]229[/C][C]0.920579[/C][C]0.158843[/C][C]0.0794213[/C][/ROW]
[ROW][C]230[/C][C]0.904178[/C][C]0.191645[/C][C]0.0958225[/C][/ROW]
[ROW][C]231[/C][C]0.913867[/C][C]0.172265[/C][C]0.0861327[/C][/ROW]
[ROW][C]232[/C][C]0.944131[/C][C]0.111737[/C][C]0.0558685[/C][/ROW]
[ROW][C]233[/C][C]0.946311[/C][C]0.107377[/C][C]0.0536887[/C][/ROW]
[ROW][C]234[/C][C]0.936059[/C][C]0.127883[/C][C]0.0639415[/C][/ROW]
[ROW][C]235[/C][C]0.965709[/C][C]0.0685813[/C][C]0.0342906[/C][/ROW]
[ROW][C]236[/C][C]0.955572[/C][C]0.0888567[/C][C]0.0444284[/C][/ROW]
[ROW][C]237[/C][C]0.967463[/C][C]0.0650738[/C][C]0.0325369[/C][/ROW]
[ROW][C]238[/C][C]0.978735[/C][C]0.0425301[/C][C]0.0212651[/C][/ROW]
[ROW][C]239[/C][C]0.980419[/C][C]0.0391623[/C][C]0.0195812[/C][/ROW]
[ROW][C]240[/C][C]0.979801[/C][C]0.040398[/C][C]0.020199[/C][/ROW]
[ROW][C]241[/C][C]0.975192[/C][C]0.0496152[/C][C]0.0248076[/C][/ROW]
[ROW][C]242[/C][C]0.966109[/C][C]0.0677827[/C][C]0.0338914[/C][/ROW]
[ROW][C]243[/C][C]0.966281[/C][C]0.0674378[/C][C]0.0337189[/C][/ROW]
[ROW][C]244[/C][C]0.954399[/C][C]0.0912016[/C][C]0.0456008[/C][/ROW]
[ROW][C]245[/C][C]0.976807[/C][C]0.0463859[/C][C]0.023193[/C][/ROW]
[ROW][C]246[/C][C]0.969001[/C][C]0.061998[/C][C]0.030999[/C][/ROW]
[ROW][C]247[/C][C]0.958124[/C][C]0.0837524[/C][C]0.0418762[/C][/ROW]
[ROW][C]248[/C][C]0.985317[/C][C]0.0293655[/C][C]0.0146828[/C][/ROW]
[ROW][C]249[/C][C]0.98313[/C][C]0.0337404[/C][C]0.0168702[/C][/ROW]
[ROW][C]250[/C][C]0.97967[/C][C]0.0406599[/C][C]0.02033[/C][/ROW]
[ROW][C]251[/C][C]0.979073[/C][C]0.0418534[/C][C]0.0209267[/C][/ROW]
[ROW][C]252[/C][C]0.984086[/C][C]0.0318277[/C][C]0.0159139[/C][/ROW]
[ROW][C]253[/C][C]0.977415[/C][C]0.0451692[/C][C]0.0225846[/C][/ROW]
[ROW][C]254[/C][C]0.966641[/C][C]0.0667176[/C][C]0.0333588[/C][/ROW]
[ROW][C]255[/C][C]0.952625[/C][C]0.0947508[/C][C]0.0473754[/C][/ROW]
[ROW][C]256[/C][C]0.994711[/C][C]0.0105789[/C][C]0.00528945[/C][/ROW]
[ROW][C]257[/C][C]0.991995[/C][C]0.0160102[/C][C]0.00800508[/C][/ROW]
[ROW][C]258[/C][C]0.991529[/C][C]0.0169411[/C][C]0.00847057[/C][/ROW]
[ROW][C]259[/C][C]0.98651[/C][C]0.0269802[/C][C]0.0134901[/C][/ROW]
[ROW][C]260[/C][C]0.979089[/C][C]0.0418211[/C][C]0.0209105[/C][/ROW]
[ROW][C]261[/C][C]0.976113[/C][C]0.0477745[/C][C]0.0238873[/C][/ROW]
[ROW][C]262[/C][C]0.985993[/C][C]0.0280138[/C][C]0.0140069[/C][/ROW]
[ROW][C]263[/C][C]0.975616[/C][C]0.0487682[/C][C]0.0243841[/C][/ROW]
[ROW][C]264[/C][C]0.960358[/C][C]0.079284[/C][C]0.039642[/C][/ROW]
[ROW][C]265[/C][C]0.934651[/C][C]0.130698[/C][C]0.0653491[/C][/ROW]
[ROW][C]266[/C][C]0.899147[/C][C]0.201707[/C][C]0.100853[/C][/ROW]
[ROW][C]267[/C][C]0.893739[/C][C]0.212521[/C][C]0.106261[/C][/ROW]
[ROW][C]268[/C][C]0.836006[/C][C]0.327987[/C][C]0.163994[/C][/ROW]
[ROW][C]269[/C][C]0.754763[/C][C]0.490475[/C][C]0.245237[/C][/ROW]
[ROW][C]270[/C][C]0.646725[/C][C]0.70655[/C][C]0.353275[/C][/ROW]
[ROW][C]271[/C][C]0.806789[/C][C]0.386423[/C][C]0.193211[/C][/ROW]
[ROW][C]272[/C][C]0.717764[/C][C]0.564471[/C][C]0.282236[/C][/ROW]
[ROW][C]273[/C][C]0.640037[/C][C]0.719925[/C][C]0.359963[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268262&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268262&T=5

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.2357650.471530.764235
70.4470150.894030.552985
80.3803150.760630.619685
90.2840340.5680680.715966
100.3334610.6669220.666539
110.2452480.4904960.754752
120.1689690.3379380.831031
130.1769010.3538020.823099
140.1420280.2840550.857972
150.5989320.8021370.401068
160.6467680.7064640.353232
170.5953010.8093980.404699
180.5341640.9316710.465836
190.4630580.9261170.536942
200.3999720.7999430.600028
210.3421270.6842550.657873
220.2832490.5664980.716751
230.5014770.9970460.498523
240.5229490.9541030.477051
250.4621820.9243630.537818
260.7563560.4872880.243644
270.7109840.5780330.289016
280.7592310.4815380.240769
290.7158870.5682260.284113
300.6718080.6563830.328192
310.7090580.5818850.290942
320.6679120.6641750.332088
330.6252740.7494520.374726
340.5920050.8159910.407995
350.5902370.8195260.409763
360.6127420.7745160.387258
370.569840.8603190.43016
380.5267020.9465960.473298
390.4963020.9926040.503698
400.4632630.9265260.536737
410.4433080.8866160.556692
420.3997580.7995150.600242
430.3739120.7478240.626088
440.3562540.7125080.643746
450.4905560.9811130.509444
460.5028060.9943870.497194
470.4855190.9710370.514481
480.5308750.938250.469125
490.5352180.9295630.464782
500.5711840.8576320.428816
510.542380.9152410.45762
520.728210.5435790.27179
530.7021620.5956760.297838
540.6741570.6516860.325843
550.6420050.715990.357995
560.6137810.7724380.386219
570.5751760.8496490.424824
580.5371110.9257770.462889
590.6658420.6683170.334158
600.6549140.6901710.345086
610.6412470.7175060.358753
620.6293180.7413640.370682
630.606080.787840.39392
640.7171180.5657650.282882
650.7512760.4974470.248724
660.7946390.4107210.205361
670.8106530.3786950.189347
680.8866550.2266910.113345
690.9152310.1695380.0847689
700.9028750.1942510.0971254
710.9117740.1764520.088226
720.897590.2048190.10241
730.918990.1620190.0810095
740.9219560.1560890.0780443
750.9127580.1744840.0872422
760.9268820.1462360.0731182
770.9287040.1425930.0712963
780.917290.1654190.0827096
790.9112070.1775870.0887935
800.9162530.1674940.0837471
810.9063050.187390.0936952
820.900590.1988210.0994104
830.8876970.2246060.112303
840.8877340.2245310.112266
850.8845130.2309740.115487
860.8674180.2651630.132582
870.85630.2873990.1437
880.8703660.2592680.129634
890.8901040.2197910.109896
900.8876430.2247140.112357
910.8726080.2547830.127392
920.8850130.2299740.114987
930.8673130.2653740.132687
940.8511320.2977350.148868
950.8345140.3309710.165486
960.8207990.3584030.179201
970.8009940.3980130.199006
980.7775960.4448070.222404
990.7650560.4698890.234944
1000.7470580.5058840.252942
1010.7266750.5466510.273325
1020.7544310.4911380.245569
1030.7395580.5208840.260442
1040.7198080.5603840.280192
1050.6931780.6136440.306822
1060.6755880.6488230.324412
1070.6521460.6957070.347854
1080.6322590.7354810.367741
1090.6127240.7745510.387276
1100.6894620.6210750.310538
1110.6710040.6579920.328996
1120.6418280.7163430.358172
1130.6229370.7541260.377063
1140.6988570.6022850.301143
1150.7243080.5513840.275692
1160.7184770.5630460.281523
1170.7136290.5727430.286371
1180.6855960.6288080.314404
1190.7070520.5858960.292948
1200.7858540.4282910.214146
1210.7851260.4297480.214874
1220.7862510.4274980.213749
1230.8032880.3934250.196712
1240.794880.410240.20512
1250.8704620.2590770.129538
1260.8557590.2884810.144241
1270.8368820.3262350.163118
1280.8256020.3487960.174398
1290.8076580.3846830.192342
1300.7867830.4264340.213217
1310.7658310.4683380.234169
1320.7393560.5212870.260644
1330.7517920.4964150.248208
1340.7251280.5497440.274872
1350.6994150.601170.300585
1360.6933170.6133660.306683
1370.6958160.6083670.304184
1380.6666680.6666650.333332
1390.7692250.461550.230775
1400.762860.474280.23714
1410.7365570.5268860.263443
1420.7368090.5263810.263191
1430.7578880.4842240.242112
1440.7551020.4897950.244898
1450.7318580.5362850.268142
1460.7258980.5482040.274102
1470.715290.5694190.28471
1480.6877130.6245740.312287
1490.6582920.6834160.341708
1500.6332120.7335770.366788
1510.6698720.6602570.330128
1520.7023990.5952020.297601
1530.6733070.6533860.326693
1540.6775190.6449610.322481
1550.7291950.541610.270805
1560.7499160.5001670.250084
1570.7394750.5210490.260525
1580.7551480.4897040.244852
1590.7291980.5416040.270802
1600.7013790.5972420.298621
1610.6924070.6151860.307593
1620.6630080.6739840.336992
1630.6483580.7032840.351642
1640.6976590.6046810.302341
1650.8826090.2347830.117391
1660.8919550.216090.108045
1670.9163790.1672420.0836208
1680.9041340.1917320.095866
1690.8917650.2164710.108235
1700.8783080.2433850.121692
1710.8732980.2534050.126702
1720.8597990.2804020.140201
1730.8397740.3204510.160226
1740.8309740.3380530.169026
1750.8485980.3028030.151402
1760.8667610.2664790.133239
1770.8476030.3047950.152397
1780.8270380.3459250.172962
1790.8526950.294610.147305
1800.8534950.2930110.146505
1810.8790690.2418620.120931
1820.8658580.2682850.134142
1830.8496060.3007880.150394
1840.8607810.2784380.139219
1850.8411970.3176050.158803
1860.8521450.295710.147855
1870.8307390.3385220.169261
1880.8076610.3846780.192339
1890.7824030.4351950.217597
1900.7551410.4897180.244859
1910.7698310.4603370.230169
1920.7830730.4338540.216927
1930.7559280.4881440.244072
1940.7673850.465230.232615
1950.7384240.5231520.261576
1960.7233490.5533020.276651
1970.7239120.5521750.276088
1980.7394230.5211540.260577
1990.7155770.5688460.284423
2000.7011080.5977840.298892
2010.6681240.6637520.331876
2020.8806770.2386460.119323
2030.8850520.2298950.114948
2040.8797360.2405280.120264
2050.8617570.2764850.138243
2060.8421530.3156950.157847
2070.8460760.3078490.153924
2080.8872020.2255950.112798
2090.8981840.2036320.101816
2100.8878250.224350.112175
2110.8679680.2640630.132032
2120.9074340.1851320.092566
2130.912080.175840.0879202
2140.8945790.2108420.105421
2150.8894950.221010.110505
2160.8972410.2055180.102759
2170.8775980.2448050.122402
2180.8555530.2888930.144447
2190.900510.1989810.0994904
2200.9119430.1761140.0880571
2210.8940020.2119950.105998
2220.8908210.2183580.109179
2230.9216210.1567580.078379
2240.9046290.1907420.095371
2250.894010.2119790.10599
2260.926710.146580.0732899
2270.9357720.1284550.0642277
2280.9310230.1379540.0689772
2290.9205790.1588430.0794213
2300.9041780.1916450.0958225
2310.9138670.1722650.0861327
2320.9441310.1117370.0558685
2330.9463110.1073770.0536887
2340.9360590.1278830.0639415
2350.9657090.06858130.0342906
2360.9555720.08885670.0444284
2370.9674630.06507380.0325369
2380.9787350.04253010.0212651
2390.9804190.03916230.0195812
2400.9798010.0403980.020199
2410.9751920.04961520.0248076
2420.9661090.06778270.0338914
2430.9662810.06743780.0337189
2440.9543990.09120160.0456008
2450.9768070.04638590.023193
2460.9690010.0619980.030999
2470.9581240.08375240.0418762
2480.9853170.02936550.0146828
2490.983130.03374040.0168702
2500.979670.04065990.02033
2510.9790730.04185340.0209267
2520.9840860.03182770.0159139
2530.9774150.04516920.0225846
2540.9666410.06671760.0333588
2550.9526250.09475080.0473754
2560.9947110.01057890.00528945
2570.9919950.01601020.00800508
2580.9915290.01694110.00847057
2590.986510.02698020.0134901
2600.9790890.04182110.0209105
2610.9761130.04777450.0238873
2620.9859930.02801380.0140069
2630.9756160.04876820.0243841
2640.9603580.0792840.039642
2650.9346510.1306980.0653491
2660.8991470.2017070.100853
2670.8937390.2125210.106261
2680.8360060.3279870.163994
2690.7547630.4904750.245237
2700.6467250.706550.353275
2710.8067890.3864230.193211
2720.7177640.5644710.282236
2730.6400370.7199250.359963






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level190.0708955NOK
10% type I error level300.11194NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 19 & 0.0708955 & NOK \tabularnewline
10% type I error level & 30 & 0.11194 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268262&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]19[/C][C]0.0708955[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]30[/C][C]0.11194[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268262&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268262&T=6

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level190.0708955NOK
10% type I error level300.11194NOK


Figures (Output of Computation)

Figure 1
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Figure 2
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Figure 5
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Figure 6
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Figure 7
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Figure 8
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Figure 9
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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}