FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationThu, 11 Dec 2014 20:14:49 +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/11/t1418328918igsh7mvwbdwpjfb.htm/, Retrieved Thu, 16 May 2024 09:53:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266314, Retrieved Thu, 16 May 2024 09:53:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact59

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [paper14] [2014-12-11 20:14:49] [0015a2406d94cac8c1a56a29b9122359] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
149	11	8	7
152	15	18	18
139	19	18	20
148	16	12	9
158	24	24	19
128	15	16	12
224	17	19	16
159	19	16	17
105	19	15	9
159	28	28	28
167	26	21	20
165	15	18	16
159	26	22	22
119	16	19	17
176	24	22	12
54	25	25	18
91	22	20	20
163	15	16	12
124	21	19	16
137	22	18	16
121	27	26	21
153	26	24	15
148	26	20	17
221	22	19	17
188	21	19	17
149	22	23	18
244	20	18	15
148	21	16	20
92	20	18	13
150	22	21	21
153	21	20	12
94	8	15	6
156	22	19	13
146	18	27	6
132	20	19	19
161	24	7	12
105	17	20	14
97	20	20	13
151	23	19	12
131	20	19	17
166	22	20	19
157	19	18	10
111	15	14	10
145	20	17	11
162	22	17	11
163	17	8	10
59	14	9	7
187	24	22	22
109	17	20	12
90	23	20	18
105	25	22	20
83	16	22	9
116	18	22	16
42	20	16	14
148	18	14	11
155	23	24	20
125	24	21	17
116	23	20	14
128	13	20	8
138	20	18	16
49	20	14	11
96	19	19	10
164	22	24	15
162	22	19	15
99	15	16	10
202	17	16	10
186	19	16	18
66	20	14	10
183	22	22	22
214	21	21	16
188	21	15	10
104	16	14	7
177	20	15	16
126	21	14	16
76	20	20	16
99	23	21	22
157	15	17	13
139	18	14	5
78	22	19	18
162	16	16	10
108	17	13	8
159	24	26	16
74	13	13	8
110	19	18	16
96	20	15	14
116	22	18	15
87	19	21	9
97	21	17	21
127	15	18	7
106	21	20	17
80	24	18	18
74	22	25	16
91	20	20	16
133	21	19	14
74	19	18	15
114	14	12	8
140	25	22	22
95	11	16	5
98	17	18	13
121	22	23	22
126	20	20	18
98	22	20	15
95	15	16	11
110	23	22	19
70	20	19	19
102	22	23	21
86	16	6	4
130	25	19	17
96	18	24	10
102	19	19	13
100	25	15	15
94	21	18	11
52	22	18	20
98	21	22	13
118	22	23	18
99	23	18	20
48	20	17	15
50	6	6	4
150	15	22	9
154	18	20	18
109	24	16	12
68	22	16	17
194	21	17	12
158	23	20	16
159	20	23	17
67	20	18	14
147	18	13	13
39	25	22	20
100	16	20	16
111	20	20	15
138	14	13	10
101	22	16	16
131	26	25	21
101	20	16	15
114	17	15	16
165	22	19	19
114	22	19	9
111	20	24	19
75	17	9	7
82	22	22	23
121	17	15	14
32	22	22	10
150	21	22	16
117	25	24	12
71	11	12	10
165	19	21	7
154	24	25	20
126	17	26	9
138	22	19	14
149	22	21	12
145	17	14	10
120	26	28	19
138	19	16	16
109	20	21	11
132	19	16	15
172	21	16	14
169	24	25	11
114	21	21	14
156	19	22	15
172	13	9	7
68	24	20	22
89	28	19	19
167	27	24	22
113	22	22	11
115	23	22	19
78	19	12	9
118	18	17	11
87	23	18	17
173	21	10	12
2	22	22	17
162	17	24	10
49	15	18	17
122	21	18	13
96	20	23	11
100	26	21	19
82	19	21	21
100	28	28	24
115	21	17	13
141	19	21	16
165	22	21	13
165	21	20	15
110	20	18	15
118	19	17	11
158	11	7	7
146	17	17	13
49	19	14	13
90	20	18	12
121	17	14	8
155	21	23	7
104	21	20	17
147	12	14	9
110	23	17	18
108	22	21	17
113	22	23	17
115	21	24	18
61	20	21	12
60	18	14	14
109	21	24	22
68	24	16	19
111	22	21	21
77	20	8	10
73	17	17	16
151	19	18	11
89	16	17	15
78	19	16	12
110	23	22	21
220	8	17	22
65	22	21	20
141	23	20	15
117	15	20	9
122	17	19	15
63	21	8	14
44	25	19	11
52	18	11	9
62	23	15	18
131	20	13	12
101	21	18	11
42	21	19	14
152	24	23	10
107	22	20	18
77	22	22	11
154	23	19	14
103	17	16	16
96	15	11	11
154	24	11	8
175	22	21	16
57	19	14	13
112	18	21	12
143	21	20	17
49	20	21	23
110	19	20	14
131	19	19	10
167	16	19	16
56	18	18	11
137	23	20	16
86	22	21	19
121	23	22	17
149	20	19	12
168	24	23	17
140	25	16	11
88	25	23	19
168	20	18	12
94	23	23	8
51	21	20	17
48	23	20	13
145	23	23	17
66	11	13	7
85	21	21	23
109	27	26	18
63	19	18	13
102	21	19	17
162	16	18	13
128	22	19	13
86	21	18	8
114	22	19	16
164	16	13	14
119	18	10	13
126	23	21	19
132	24	24	15
142	20	21	15
83	20	23	8
94	18	18	14
81	4	11	7
166	14	16	11
110	22	20	17
64	17	20	19
93	23	26	17
104	20	21	12
105	18	12	12
49	19	15	18
88	20	18	16
95	15	14	15
102	24	18	20
99	21	16	16
63	19	19	12
76	19	7	10
109	27	21	28
117	23	24	19
57	23	21	18
120	20	20	19
73	17	22	8
91	21	17	17
108	23	19	16
105	22	20	18
117	16	16	12
119	20	20	17
31	16	16	13

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 9 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266314&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]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266314&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266314&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 time9 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 101.803 -0.23355I1[t] + 1.13332I2[t] -0.093609I3[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
LFM[t] =  +  101.803 -0.23355I1[t] +  1.13332I2[t] -0.093609I3[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266314&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]LFM[t] =  +  101.803 -0.23355I1[t] +  1.13332I2[t] -0.093609I3[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266314&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266314&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] = + 101.803 -0.23355I1[t] + 1.13332I2[t] -0.093609I3[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)101.80313.59997.4869.07011e-134.53506e-13
I1-0.233550.837289-0.27890.7804980.390249
I21.133320.706781.6040.109940.0549698
I3-0.0936090.678114-0.1380.8903050.445152

\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) & 101.803 & 13.5999 & 7.486 & 9.07011e-13 & 4.53506e-13 \tabularnewline
I1 & -0.23355 & 0.837289 & -0.2789 & 0.780498 & 0.390249 \tabularnewline
I2 & 1.13332 & 0.70678 & 1.604 & 0.10994 & 0.0549698 \tabularnewline
I3 & -0.093609 & 0.678114 & -0.138 & 0.890305 & 0.445152 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266314&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]101.803[/C][C]13.5999[/C][C]7.486[/C][C]9.07011e-13[/C][C]4.53506e-13[/C][/ROW]
[ROW][C]I1[/C][C]-0.23355[/C][C]0.837289[/C][C]-0.2789[/C][C]0.780498[/C][C]0.390249[/C][/ROW]
[ROW][C]I2[/C][C]1.13332[/C][C]0.70678[/C][C]1.604[/C][C]0.10994[/C][C]0.0549698[/C][/ROW]
[ROW][C]I3[/C][C]-0.093609[/C][C]0.678114[/C][C]-0.138[/C][C]0.890305[/C][C]0.445152[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266314&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266314&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)101.80313.59997.4869.07011e-134.53506e-13
I1-0.233550.837289-0.27890.7804980.390249
I21.133320.706781.6040.109940.0549698
I3-0.0936090.678114-0.1380.8903050.445152






Multiple Linear Regression - Regression Statistics
Multiple R0.103448
R-squared0.0107014
Adjusted R-squared0.000214135
F-TEST (value)1.02042
F-TEST (DF numerator)3
F-TEST (DF denominator)283
p-value0.383952
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation39.6712
Sum Squared Residuals445387

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.103448 \tabularnewline
R-squared & 0.0107014 \tabularnewline
Adjusted R-squared & 0.000214135 \tabularnewline
F-TEST (value) & 1.02042 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 283 \tabularnewline
p-value & 0.383952 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 39.6712 \tabularnewline
Sum Squared Residuals & 445387 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266314&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.103448[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0107014[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.000214135[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]1.02042[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]283[/C][/ROW]
[ROW][C]p-value[/C][C]0.383952[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]39.6712[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]445387[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266314&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266314&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 R0.103448
R-squared0.0107014
Adjusted R-squared0.000214135
F-TEST (value)1.02042
F-TEST (DF numerator)3
F-TEST (DF denominator)283
p-value0.383952
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation39.6712
Sum Squared Residuals445387






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1149107.64541.3549
2152117.01434.9856
3139115.89323.107
4148110.82337.1766
5158121.61936.3812
6128115.30912.6906
7224117.868106.132
8159113.90745.0928
9105113.523-8.52272
10159124.37534.6246
11167117.65849.3419
12165117.20247.7984
13159118.60440.3958
14119118.0080.992217
15176120.00755.9926
1654122.612-68.6122
1791117.459-26.459
18163115.30947.6906
19124116.9347.06636
20137115.56721.4332
21121122.998-1.99755
22153121.52631.4739
23148116.80631.1944
24221116.606104.394
25188116.8471.16
26149121.04627.9538
27244116.127127.873
28148113.15934.8408
2992116.315-24.3147
30150118.49931.5013
31153118.44134.5586
3294116.373-22.3726
33156116.98139.0191
34146127.63718.363
35132116.88615.1136
36161103.00857.9924
37105119.188-14.1884
3897118.581-21.5813
39151116.84134.159
40131117.07413.9264
41166117.55348.4474
42157116.82940.1709
43111113.23-2.22999
44145115.36929.6314
45162114.90147.0985
46163105.96357.037
4759108.078-49.0778
48187119.07167.9287
49109119.376-10.3756
5090117.413-27.4126
51105119.025-14.025
5283122.157-39.1566
53116121.034-5.03426
5442113.954-71.9544
55148112.43635.5643
56155121.75933.2413
57125118.4066.59397
58116117.787-1.78708
59128120.6847.31576
60138116.03421.9661
6149111.969-62.9686
6296117.962-21.9624
63164122.4641.5397
64162116.79445.2063
6599115.497-16.4966
66202115.0386.9705
67186113.81472.1864
6866112.062-46.0622
69183119.53863.4616
70214119.294.7997
71188112.96275.038
72104113.277-9.27726
73177112.63464.3661
74126111.26714.733
7576118.301-42.3005
7699118.172-19.1715
77157116.34940.6509
78139112.99726.0026
7978116.513-38.5129
80162115.26346.7369
81108111.817-3.81678
82159124.16634.8338
8374112.751-38.751
84110116.267-6.26742
8596112.821-16.8211
86116115.660.339621
8787120.323-33.3226
8897114.199-17.199
89127118.0448.9559
90106117.973-11.9734
9180114.912-34.9125
9274123.5-49.5
9391118.301-27.3005
94133117.12115.8791
9574116.361-42.361
96114111.3842.61589
97140118.83821.1622
9895116.899-21.8989
9998117.015-19.0153
100121120.6720.328273
101126118.1137.8867
10298117.927-19.927
10395115.403-20.403
104110119.586-9.58568
10570116.886-46.8864
106102120.765-18.7653
10786104.492-18.4915
108130115.90614.0942
10996123.863-27.8626
110102117.682-15.6816
111100111.56-11.5598
11294116.268-22.2684
11352115.192-63.1923
11498120.614-22.6144
115118121.046-3.04616
11699114.959-15.9588
11748114.994-66.9942
11850106.827-56.827
119150122.3927.6098
120154118.5835.4196
121109113.207-4.20746
12268113.207-45.2065
123194115.04178.9586
124158117.640.4001
125159121.60737.3931
12667116.221-49.2211
127147111.11535.8848
12839119.025-80.025
129100119.235-19.2347
130111118.394-7.39412
131138112.3325.6698
132101113.3-12.3001
133131122.0988.90222
134101113.861-12.8608
135114113.3350.665446
136165116.41948.5807
137114117.355-3.35536
138111122.553-11.553
13975107.377-32.3771
14082119.445-37.4448
141121113.5227.47823
14232120.662-88.6617
143150120.33429.6664
144117122.04-5.04049
14571111.898-40.8975
146165120.5144.4901
147154122.65831.3415
148126126.456-0.45636
149138116.88721.1127
150149119.34129.6588
151145112.76332.2371
152120125.685-5.68496
153138114.00123.9992
154109119.902-10.9019
155132114.09417.9056
156172113.72158.2791
157169123.50145.499
158114119.388-5.3875
159156120.89435.1057
160172108.31163.6887
16168116.805-48.8047
16289115.018-26.018
163167120.63746.3627
164113120.568-7.5681
165115119.586-4.58568
16678110.123-32.1228
167118115.8362.16431
16887115.24-28.2396
169173107.10865.8918
1702120.006-118.006
171162124.09637.9039
17249117.108-68.108
173122116.0815.91885
17496122.169-26.1685
175100117.752-17.7517
17682119.199-37.1993
177100124.75-24.7498
178115114.9480.052175
179141119.66721.3326
180165119.24845.7524
181165118.16146.8394
182110116.127-6.12748
183118115.6022.39786
184158106.51251.4882
185146115.88230.118
18649112.015-63.015
18790116.408-26.4083
188121112.958.0499
189155122.30932.6906
190104117.973-13.9734
191147114.02432.9758
192110114.013-4.01268
193108118.873-10.8731
194113121.14-8.13977
195115122.413-7.41304
19661119.808-58.8083
19760112.155-52.1549
198109122.039-13.0386
19968112.552-44.5522
200111118.499-7.49869
20177105.262-28.2623
20273115.601-42.6012
203151116.73534.2645
20489115.928-26.9284
20578114.375-36.3752
206110119.398-9.39846
207220117.141102.859
20865118.592-53.5923
209141117.69323.3065
210117120.124-3.12353
211122117.9614.03855
21263104.654-41.6543
21344116.467-72.4675
21452109.223-57.223
21562111.746-49.746
216131110.74220.2583
217101116.268-15.2684
21842117.121-75.1209
219152121.32830.6721
220107117.646-10.6462
22177120.568-43.5681
222154116.65437.3462
223103114.468-11.4679
22496109.736-13.7364
225154107.91546.0847
226175118.96756.0333
22757112.015-55.015
228112120.275-8.27537
229143117.97325.0266
23049118.779-69.7786
231110118.721-8.72128
232131117.96213.0376
233167118.10148.8986
23456116.969-60.969
235137117.619.4001
23686118.686-32.6859
237121119.7731.2271
238149117.54231.4584
239168120.67347.3273
240140113.06826.9325
24188120.252-32.2519
242168116.40851.5917
24394121.749-27.7487
24451117.973-66.9734
24548117.881-69.8807
246145120.90624.0938
24766113.312-47.3117
24885118.545-33.545
249109123.278-14.2784
25063116.548-53.5482
251102116.84-14.84
252162117.24944.7511
253128116.98111.0191
25486116.549-30.5492
255114116.7-2.70009
256164111.48952.5113
257119107.71511.2848
258126118.4527.54764
259132121.99310.0068
260142119.52722.4726
26183122.449-39.4494
26294116.688-22.6882
26381112.68-31.6799
264166115.63750.3634
265110117.74-7.73981
26664118.72-54.7203
26793124.306-31.3062
268104119.808-15.8083
269105110.075-5.07547
27049112.68-63.6802
27188116.034-28.0339
27295112.762-17.7619
273102114.725-12.7252
27499113.534-14.5337
27563117.775-54.7752
27676104.363-28.3625
277109116.676-7.67568
278117121.852-4.85233
27957118.546-61.546
280120118.021.98031
28173122.017-49.0167
28291114.573-23.5734
283108116.467-8.46654
284105117.646-12.6462
285117115.0761.92414
286119118.2070.793095
28731114.982-83.9823

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 149 & 107.645 & 41.3549 \tabularnewline
2 & 152 & 117.014 & 34.9856 \tabularnewline
3 & 139 & 115.893 & 23.107 \tabularnewline
4 & 148 & 110.823 & 37.1766 \tabularnewline
5 & 158 & 121.619 & 36.3812 \tabularnewline
6 & 128 & 115.309 & 12.6906 \tabularnewline
7 & 224 & 117.868 & 106.132 \tabularnewline
8 & 159 & 113.907 & 45.0928 \tabularnewline
9 & 105 & 113.523 & -8.52272 \tabularnewline
10 & 159 & 124.375 & 34.6246 \tabularnewline
11 & 167 & 117.658 & 49.3419 \tabularnewline
12 & 165 & 117.202 & 47.7984 \tabularnewline
13 & 159 & 118.604 & 40.3958 \tabularnewline
14 & 119 & 118.008 & 0.992217 \tabularnewline
15 & 176 & 120.007 & 55.9926 \tabularnewline
16 & 54 & 122.612 & -68.6122 \tabularnewline
17 & 91 & 117.459 & -26.459 \tabularnewline
18 & 163 & 115.309 & 47.6906 \tabularnewline
19 & 124 & 116.934 & 7.06636 \tabularnewline
20 & 137 & 115.567 & 21.4332 \tabularnewline
21 & 121 & 122.998 & -1.99755 \tabularnewline
22 & 153 & 121.526 & 31.4739 \tabularnewline
23 & 148 & 116.806 & 31.1944 \tabularnewline
24 & 221 & 116.606 & 104.394 \tabularnewline
25 & 188 & 116.84 & 71.16 \tabularnewline
26 & 149 & 121.046 & 27.9538 \tabularnewline
27 & 244 & 116.127 & 127.873 \tabularnewline
28 & 148 & 113.159 & 34.8408 \tabularnewline
29 & 92 & 116.315 & -24.3147 \tabularnewline
30 & 150 & 118.499 & 31.5013 \tabularnewline
31 & 153 & 118.441 & 34.5586 \tabularnewline
32 & 94 & 116.373 & -22.3726 \tabularnewline
33 & 156 & 116.981 & 39.0191 \tabularnewline
34 & 146 & 127.637 & 18.363 \tabularnewline
35 & 132 & 116.886 & 15.1136 \tabularnewline
36 & 161 & 103.008 & 57.9924 \tabularnewline
37 & 105 & 119.188 & -14.1884 \tabularnewline
38 & 97 & 118.581 & -21.5813 \tabularnewline
39 & 151 & 116.841 & 34.159 \tabularnewline
40 & 131 & 117.074 & 13.9264 \tabularnewline
41 & 166 & 117.553 & 48.4474 \tabularnewline
42 & 157 & 116.829 & 40.1709 \tabularnewline
43 & 111 & 113.23 & -2.22999 \tabularnewline
44 & 145 & 115.369 & 29.6314 \tabularnewline
45 & 162 & 114.901 & 47.0985 \tabularnewline
46 & 163 & 105.963 & 57.037 \tabularnewline
47 & 59 & 108.078 & -49.0778 \tabularnewline
48 & 187 & 119.071 & 67.9287 \tabularnewline
49 & 109 & 119.376 & -10.3756 \tabularnewline
50 & 90 & 117.413 & -27.4126 \tabularnewline
51 & 105 & 119.025 & -14.025 \tabularnewline
52 & 83 & 122.157 & -39.1566 \tabularnewline
53 & 116 & 121.034 & -5.03426 \tabularnewline
54 & 42 & 113.954 & -71.9544 \tabularnewline
55 & 148 & 112.436 & 35.5643 \tabularnewline
56 & 155 & 121.759 & 33.2413 \tabularnewline
57 & 125 & 118.406 & 6.59397 \tabularnewline
58 & 116 & 117.787 & -1.78708 \tabularnewline
59 & 128 & 120.684 & 7.31576 \tabularnewline
60 & 138 & 116.034 & 21.9661 \tabularnewline
61 & 49 & 111.969 & -62.9686 \tabularnewline
62 & 96 & 117.962 & -21.9624 \tabularnewline
63 & 164 & 122.46 & 41.5397 \tabularnewline
64 & 162 & 116.794 & 45.2063 \tabularnewline
65 & 99 & 115.497 & -16.4966 \tabularnewline
66 & 202 & 115.03 & 86.9705 \tabularnewline
67 & 186 & 113.814 & 72.1864 \tabularnewline
68 & 66 & 112.062 & -46.0622 \tabularnewline
69 & 183 & 119.538 & 63.4616 \tabularnewline
70 & 214 & 119.2 & 94.7997 \tabularnewline
71 & 188 & 112.962 & 75.038 \tabularnewline
72 & 104 & 113.277 & -9.27726 \tabularnewline
73 & 177 & 112.634 & 64.3661 \tabularnewline
74 & 126 & 111.267 & 14.733 \tabularnewline
75 & 76 & 118.301 & -42.3005 \tabularnewline
76 & 99 & 118.172 & -19.1715 \tabularnewline
77 & 157 & 116.349 & 40.6509 \tabularnewline
78 & 139 & 112.997 & 26.0026 \tabularnewline
79 & 78 & 116.513 & -38.5129 \tabularnewline
80 & 162 & 115.263 & 46.7369 \tabularnewline
81 & 108 & 111.817 & -3.81678 \tabularnewline
82 & 159 & 124.166 & 34.8338 \tabularnewline
83 & 74 & 112.751 & -38.751 \tabularnewline
84 & 110 & 116.267 & -6.26742 \tabularnewline
85 & 96 & 112.821 & -16.8211 \tabularnewline
86 & 116 & 115.66 & 0.339621 \tabularnewline
87 & 87 & 120.323 & -33.3226 \tabularnewline
88 & 97 & 114.199 & -17.199 \tabularnewline
89 & 127 & 118.044 & 8.9559 \tabularnewline
90 & 106 & 117.973 & -11.9734 \tabularnewline
91 & 80 & 114.912 & -34.9125 \tabularnewline
92 & 74 & 123.5 & -49.5 \tabularnewline
93 & 91 & 118.301 & -27.3005 \tabularnewline
94 & 133 & 117.121 & 15.8791 \tabularnewline
95 & 74 & 116.361 & -42.361 \tabularnewline
96 & 114 & 111.384 & 2.61589 \tabularnewline
97 & 140 & 118.838 & 21.1622 \tabularnewline
98 & 95 & 116.899 & -21.8989 \tabularnewline
99 & 98 & 117.015 & -19.0153 \tabularnewline
100 & 121 & 120.672 & 0.328273 \tabularnewline
101 & 126 & 118.113 & 7.8867 \tabularnewline
102 & 98 & 117.927 & -19.927 \tabularnewline
103 & 95 & 115.403 & -20.403 \tabularnewline
104 & 110 & 119.586 & -9.58568 \tabularnewline
105 & 70 & 116.886 & -46.8864 \tabularnewline
106 & 102 & 120.765 & -18.7653 \tabularnewline
107 & 86 & 104.492 & -18.4915 \tabularnewline
108 & 130 & 115.906 & 14.0942 \tabularnewline
109 & 96 & 123.863 & -27.8626 \tabularnewline
110 & 102 & 117.682 & -15.6816 \tabularnewline
111 & 100 & 111.56 & -11.5598 \tabularnewline
112 & 94 & 116.268 & -22.2684 \tabularnewline
113 & 52 & 115.192 & -63.1923 \tabularnewline
114 & 98 & 120.614 & -22.6144 \tabularnewline
115 & 118 & 121.046 & -3.04616 \tabularnewline
116 & 99 & 114.959 & -15.9588 \tabularnewline
117 & 48 & 114.994 & -66.9942 \tabularnewline
118 & 50 & 106.827 & -56.827 \tabularnewline
119 & 150 & 122.39 & 27.6098 \tabularnewline
120 & 154 & 118.58 & 35.4196 \tabularnewline
121 & 109 & 113.207 & -4.20746 \tabularnewline
122 & 68 & 113.207 & -45.2065 \tabularnewline
123 & 194 & 115.041 & 78.9586 \tabularnewline
124 & 158 & 117.6 & 40.4001 \tabularnewline
125 & 159 & 121.607 & 37.3931 \tabularnewline
126 & 67 & 116.221 & -49.2211 \tabularnewline
127 & 147 & 111.115 & 35.8848 \tabularnewline
128 & 39 & 119.025 & -80.025 \tabularnewline
129 & 100 & 119.235 & -19.2347 \tabularnewline
130 & 111 & 118.394 & -7.39412 \tabularnewline
131 & 138 & 112.33 & 25.6698 \tabularnewline
132 & 101 & 113.3 & -12.3001 \tabularnewline
133 & 131 & 122.098 & 8.90222 \tabularnewline
134 & 101 & 113.861 & -12.8608 \tabularnewline
135 & 114 & 113.335 & 0.665446 \tabularnewline
136 & 165 & 116.419 & 48.5807 \tabularnewline
137 & 114 & 117.355 & -3.35536 \tabularnewline
138 & 111 & 122.553 & -11.553 \tabularnewline
139 & 75 & 107.377 & -32.3771 \tabularnewline
140 & 82 & 119.445 & -37.4448 \tabularnewline
141 & 121 & 113.522 & 7.47823 \tabularnewline
142 & 32 & 120.662 & -88.6617 \tabularnewline
143 & 150 & 120.334 & 29.6664 \tabularnewline
144 & 117 & 122.04 & -5.04049 \tabularnewline
145 & 71 & 111.898 & -40.8975 \tabularnewline
146 & 165 & 120.51 & 44.4901 \tabularnewline
147 & 154 & 122.658 & 31.3415 \tabularnewline
148 & 126 & 126.456 & -0.45636 \tabularnewline
149 & 138 & 116.887 & 21.1127 \tabularnewline
150 & 149 & 119.341 & 29.6588 \tabularnewline
151 & 145 & 112.763 & 32.2371 \tabularnewline
152 & 120 & 125.685 & -5.68496 \tabularnewline
153 & 138 & 114.001 & 23.9992 \tabularnewline
154 & 109 & 119.902 & -10.9019 \tabularnewline
155 & 132 & 114.094 & 17.9056 \tabularnewline
156 & 172 & 113.721 & 58.2791 \tabularnewline
157 & 169 & 123.501 & 45.499 \tabularnewline
158 & 114 & 119.388 & -5.3875 \tabularnewline
159 & 156 & 120.894 & 35.1057 \tabularnewline
160 & 172 & 108.311 & 63.6887 \tabularnewline
161 & 68 & 116.805 & -48.8047 \tabularnewline
162 & 89 & 115.018 & -26.018 \tabularnewline
163 & 167 & 120.637 & 46.3627 \tabularnewline
164 & 113 & 120.568 & -7.5681 \tabularnewline
165 & 115 & 119.586 & -4.58568 \tabularnewline
166 & 78 & 110.123 & -32.1228 \tabularnewline
167 & 118 & 115.836 & 2.16431 \tabularnewline
168 & 87 & 115.24 & -28.2396 \tabularnewline
169 & 173 & 107.108 & 65.8918 \tabularnewline
170 & 2 & 120.006 & -118.006 \tabularnewline
171 & 162 & 124.096 & 37.9039 \tabularnewline
172 & 49 & 117.108 & -68.108 \tabularnewline
173 & 122 & 116.081 & 5.91885 \tabularnewline
174 & 96 & 122.169 & -26.1685 \tabularnewline
175 & 100 & 117.752 & -17.7517 \tabularnewline
176 & 82 & 119.199 & -37.1993 \tabularnewline
177 & 100 & 124.75 & -24.7498 \tabularnewline
178 & 115 & 114.948 & 0.052175 \tabularnewline
179 & 141 & 119.667 & 21.3326 \tabularnewline
180 & 165 & 119.248 & 45.7524 \tabularnewline
181 & 165 & 118.161 & 46.8394 \tabularnewline
182 & 110 & 116.127 & -6.12748 \tabularnewline
183 & 118 & 115.602 & 2.39786 \tabularnewline
184 & 158 & 106.512 & 51.4882 \tabularnewline
185 & 146 & 115.882 & 30.118 \tabularnewline
186 & 49 & 112.015 & -63.015 \tabularnewline
187 & 90 & 116.408 & -26.4083 \tabularnewline
188 & 121 & 112.95 & 8.0499 \tabularnewline
189 & 155 & 122.309 & 32.6906 \tabularnewline
190 & 104 & 117.973 & -13.9734 \tabularnewline
191 & 147 & 114.024 & 32.9758 \tabularnewline
192 & 110 & 114.013 & -4.01268 \tabularnewline
193 & 108 & 118.873 & -10.8731 \tabularnewline
194 & 113 & 121.14 & -8.13977 \tabularnewline
195 & 115 & 122.413 & -7.41304 \tabularnewline
196 & 61 & 119.808 & -58.8083 \tabularnewline
197 & 60 & 112.155 & -52.1549 \tabularnewline
198 & 109 & 122.039 & -13.0386 \tabularnewline
199 & 68 & 112.552 & -44.5522 \tabularnewline
200 & 111 & 118.499 & -7.49869 \tabularnewline
201 & 77 & 105.262 & -28.2623 \tabularnewline
202 & 73 & 115.601 & -42.6012 \tabularnewline
203 & 151 & 116.735 & 34.2645 \tabularnewline
204 & 89 & 115.928 & -26.9284 \tabularnewline
205 & 78 & 114.375 & -36.3752 \tabularnewline
206 & 110 & 119.398 & -9.39846 \tabularnewline
207 & 220 & 117.141 & 102.859 \tabularnewline
208 & 65 & 118.592 & -53.5923 \tabularnewline
209 & 141 & 117.693 & 23.3065 \tabularnewline
210 & 117 & 120.124 & -3.12353 \tabularnewline
211 & 122 & 117.961 & 4.03855 \tabularnewline
212 & 63 & 104.654 & -41.6543 \tabularnewline
213 & 44 & 116.467 & -72.4675 \tabularnewline
214 & 52 & 109.223 & -57.223 \tabularnewline
215 & 62 & 111.746 & -49.746 \tabularnewline
216 & 131 & 110.742 & 20.2583 \tabularnewline
217 & 101 & 116.268 & -15.2684 \tabularnewline
218 & 42 & 117.121 & -75.1209 \tabularnewline
219 & 152 & 121.328 & 30.6721 \tabularnewline
220 & 107 & 117.646 & -10.6462 \tabularnewline
221 & 77 & 120.568 & -43.5681 \tabularnewline
222 & 154 & 116.654 & 37.3462 \tabularnewline
223 & 103 & 114.468 & -11.4679 \tabularnewline
224 & 96 & 109.736 & -13.7364 \tabularnewline
225 & 154 & 107.915 & 46.0847 \tabularnewline
226 & 175 & 118.967 & 56.0333 \tabularnewline
227 & 57 & 112.015 & -55.015 \tabularnewline
228 & 112 & 120.275 & -8.27537 \tabularnewline
229 & 143 & 117.973 & 25.0266 \tabularnewline
230 & 49 & 118.779 & -69.7786 \tabularnewline
231 & 110 & 118.721 & -8.72128 \tabularnewline
232 & 131 & 117.962 & 13.0376 \tabularnewline
233 & 167 & 118.101 & 48.8986 \tabularnewline
234 & 56 & 116.969 & -60.969 \tabularnewline
235 & 137 & 117.6 & 19.4001 \tabularnewline
236 & 86 & 118.686 & -32.6859 \tabularnewline
237 & 121 & 119.773 & 1.2271 \tabularnewline
238 & 149 & 117.542 & 31.4584 \tabularnewline
239 & 168 & 120.673 & 47.3273 \tabularnewline
240 & 140 & 113.068 & 26.9325 \tabularnewline
241 & 88 & 120.252 & -32.2519 \tabularnewline
242 & 168 & 116.408 & 51.5917 \tabularnewline
243 & 94 & 121.749 & -27.7487 \tabularnewline
244 & 51 & 117.973 & -66.9734 \tabularnewline
245 & 48 & 117.881 & -69.8807 \tabularnewline
246 & 145 & 120.906 & 24.0938 \tabularnewline
247 & 66 & 113.312 & -47.3117 \tabularnewline
248 & 85 & 118.545 & -33.545 \tabularnewline
249 & 109 & 123.278 & -14.2784 \tabularnewline
250 & 63 & 116.548 & -53.5482 \tabularnewline
251 & 102 & 116.84 & -14.84 \tabularnewline
252 & 162 & 117.249 & 44.7511 \tabularnewline
253 & 128 & 116.981 & 11.0191 \tabularnewline
254 & 86 & 116.549 & -30.5492 \tabularnewline
255 & 114 & 116.7 & -2.70009 \tabularnewline
256 & 164 & 111.489 & 52.5113 \tabularnewline
257 & 119 & 107.715 & 11.2848 \tabularnewline
258 & 126 & 118.452 & 7.54764 \tabularnewline
259 & 132 & 121.993 & 10.0068 \tabularnewline
260 & 142 & 119.527 & 22.4726 \tabularnewline
261 & 83 & 122.449 & -39.4494 \tabularnewline
262 & 94 & 116.688 & -22.6882 \tabularnewline
263 & 81 & 112.68 & -31.6799 \tabularnewline
264 & 166 & 115.637 & 50.3634 \tabularnewline
265 & 110 & 117.74 & -7.73981 \tabularnewline
266 & 64 & 118.72 & -54.7203 \tabularnewline
267 & 93 & 124.306 & -31.3062 \tabularnewline
268 & 104 & 119.808 & -15.8083 \tabularnewline
269 & 105 & 110.075 & -5.07547 \tabularnewline
270 & 49 & 112.68 & -63.6802 \tabularnewline
271 & 88 & 116.034 & -28.0339 \tabularnewline
272 & 95 & 112.762 & -17.7619 \tabularnewline
273 & 102 & 114.725 & -12.7252 \tabularnewline
274 & 99 & 113.534 & -14.5337 \tabularnewline
275 & 63 & 117.775 & -54.7752 \tabularnewline
276 & 76 & 104.363 & -28.3625 \tabularnewline
277 & 109 & 116.676 & -7.67568 \tabularnewline
278 & 117 & 121.852 & -4.85233 \tabularnewline
279 & 57 & 118.546 & -61.546 \tabularnewline
280 & 120 & 118.02 & 1.98031 \tabularnewline
281 & 73 & 122.017 & -49.0167 \tabularnewline
282 & 91 & 114.573 & -23.5734 \tabularnewline
283 & 108 & 116.467 & -8.46654 \tabularnewline
284 & 105 & 117.646 & -12.6462 \tabularnewline
285 & 117 & 115.076 & 1.92414 \tabularnewline
286 & 119 & 118.207 & 0.793095 \tabularnewline
287 & 31 & 114.982 & -83.9823 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266314&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]107.645[/C][C]41.3549[/C][/ROW]
[ROW][C]2[/C][C]152[/C][C]117.014[/C][C]34.9856[/C][/ROW]
[ROW][C]3[/C][C]139[/C][C]115.893[/C][C]23.107[/C][/ROW]
[ROW][C]4[/C][C]148[/C][C]110.823[/C][C]37.1766[/C][/ROW]
[ROW][C]5[/C][C]158[/C][C]121.619[/C][C]36.3812[/C][/ROW]
[ROW][C]6[/C][C]128[/C][C]115.309[/C][C]12.6906[/C][/ROW]
[ROW][C]7[/C][C]224[/C][C]117.868[/C][C]106.132[/C][/ROW]
[ROW][C]8[/C][C]159[/C][C]113.907[/C][C]45.0928[/C][/ROW]
[ROW][C]9[/C][C]105[/C][C]113.523[/C][C]-8.52272[/C][/ROW]
[ROW][C]10[/C][C]159[/C][C]124.375[/C][C]34.6246[/C][/ROW]
[ROW][C]11[/C][C]167[/C][C]117.658[/C][C]49.3419[/C][/ROW]
[ROW][C]12[/C][C]165[/C][C]117.202[/C][C]47.7984[/C][/ROW]
[ROW][C]13[/C][C]159[/C][C]118.604[/C][C]40.3958[/C][/ROW]
[ROW][C]14[/C][C]119[/C][C]118.008[/C][C]0.992217[/C][/ROW]
[ROW][C]15[/C][C]176[/C][C]120.007[/C][C]55.9926[/C][/ROW]
[ROW][C]16[/C][C]54[/C][C]122.612[/C][C]-68.6122[/C][/ROW]
[ROW][C]17[/C][C]91[/C][C]117.459[/C][C]-26.459[/C][/ROW]
[ROW][C]18[/C][C]163[/C][C]115.309[/C][C]47.6906[/C][/ROW]
[ROW][C]19[/C][C]124[/C][C]116.934[/C][C]7.06636[/C][/ROW]
[ROW][C]20[/C][C]137[/C][C]115.567[/C][C]21.4332[/C][/ROW]
[ROW][C]21[/C][C]121[/C][C]122.998[/C][C]-1.99755[/C][/ROW]
[ROW][C]22[/C][C]153[/C][C]121.526[/C][C]31.4739[/C][/ROW]
[ROW][C]23[/C][C]148[/C][C]116.806[/C][C]31.1944[/C][/ROW]
[ROW][C]24[/C][C]221[/C][C]116.606[/C][C]104.394[/C][/ROW]
[ROW][C]25[/C][C]188[/C][C]116.84[/C][C]71.16[/C][/ROW]
[ROW][C]26[/C][C]149[/C][C]121.046[/C][C]27.9538[/C][/ROW]
[ROW][C]27[/C][C]244[/C][C]116.127[/C][C]127.873[/C][/ROW]
[ROW][C]28[/C][C]148[/C][C]113.159[/C][C]34.8408[/C][/ROW]
[ROW][C]29[/C][C]92[/C][C]116.315[/C][C]-24.3147[/C][/ROW]
[ROW][C]30[/C][C]150[/C][C]118.499[/C][C]31.5013[/C][/ROW]
[ROW][C]31[/C][C]153[/C][C]118.441[/C][C]34.5586[/C][/ROW]
[ROW][C]32[/C][C]94[/C][C]116.373[/C][C]-22.3726[/C][/ROW]
[ROW][C]33[/C][C]156[/C][C]116.981[/C][C]39.0191[/C][/ROW]
[ROW][C]34[/C][C]146[/C][C]127.637[/C][C]18.363[/C][/ROW]
[ROW][C]35[/C][C]132[/C][C]116.886[/C][C]15.1136[/C][/ROW]
[ROW][C]36[/C][C]161[/C][C]103.008[/C][C]57.9924[/C][/ROW]
[ROW][C]37[/C][C]105[/C][C]119.188[/C][C]-14.1884[/C][/ROW]
[ROW][C]38[/C][C]97[/C][C]118.581[/C][C]-21.5813[/C][/ROW]
[ROW][C]39[/C][C]151[/C][C]116.841[/C][C]34.159[/C][/ROW]
[ROW][C]40[/C][C]131[/C][C]117.074[/C][C]13.9264[/C][/ROW]
[ROW][C]41[/C][C]166[/C][C]117.553[/C][C]48.4474[/C][/ROW]
[ROW][C]42[/C][C]157[/C][C]116.829[/C][C]40.1709[/C][/ROW]
[ROW][C]43[/C][C]111[/C][C]113.23[/C][C]-2.22999[/C][/ROW]
[ROW][C]44[/C][C]145[/C][C]115.369[/C][C]29.6314[/C][/ROW]
[ROW][C]45[/C][C]162[/C][C]114.901[/C][C]47.0985[/C][/ROW]
[ROW][C]46[/C][C]163[/C][C]105.963[/C][C]57.037[/C][/ROW]
[ROW][C]47[/C][C]59[/C][C]108.078[/C][C]-49.0778[/C][/ROW]
[ROW][C]48[/C][C]187[/C][C]119.071[/C][C]67.9287[/C][/ROW]
[ROW][C]49[/C][C]109[/C][C]119.376[/C][C]-10.3756[/C][/ROW]
[ROW][C]50[/C][C]90[/C][C]117.413[/C][C]-27.4126[/C][/ROW]
[ROW][C]51[/C][C]105[/C][C]119.025[/C][C]-14.025[/C][/ROW]
[ROW][C]52[/C][C]83[/C][C]122.157[/C][C]-39.1566[/C][/ROW]
[ROW][C]53[/C][C]116[/C][C]121.034[/C][C]-5.03426[/C][/ROW]
[ROW][C]54[/C][C]42[/C][C]113.954[/C][C]-71.9544[/C][/ROW]
[ROW][C]55[/C][C]148[/C][C]112.436[/C][C]35.5643[/C][/ROW]
[ROW][C]56[/C][C]155[/C][C]121.759[/C][C]33.2413[/C][/ROW]
[ROW][C]57[/C][C]125[/C][C]118.406[/C][C]6.59397[/C][/ROW]
[ROW][C]58[/C][C]116[/C][C]117.787[/C][C]-1.78708[/C][/ROW]
[ROW][C]59[/C][C]128[/C][C]120.684[/C][C]7.31576[/C][/ROW]
[ROW][C]60[/C][C]138[/C][C]116.034[/C][C]21.9661[/C][/ROW]
[ROW][C]61[/C][C]49[/C][C]111.969[/C][C]-62.9686[/C][/ROW]
[ROW][C]62[/C][C]96[/C][C]117.962[/C][C]-21.9624[/C][/ROW]
[ROW][C]63[/C][C]164[/C][C]122.46[/C][C]41.5397[/C][/ROW]
[ROW][C]64[/C][C]162[/C][C]116.794[/C][C]45.2063[/C][/ROW]
[ROW][C]65[/C][C]99[/C][C]115.497[/C][C]-16.4966[/C][/ROW]
[ROW][C]66[/C][C]202[/C][C]115.03[/C][C]86.9705[/C][/ROW]
[ROW][C]67[/C][C]186[/C][C]113.814[/C][C]72.1864[/C][/ROW]
[ROW][C]68[/C][C]66[/C][C]112.062[/C][C]-46.0622[/C][/ROW]
[ROW][C]69[/C][C]183[/C][C]119.538[/C][C]63.4616[/C][/ROW]
[ROW][C]70[/C][C]214[/C][C]119.2[/C][C]94.7997[/C][/ROW]
[ROW][C]71[/C][C]188[/C][C]112.962[/C][C]75.038[/C][/ROW]
[ROW][C]72[/C][C]104[/C][C]113.277[/C][C]-9.27726[/C][/ROW]
[ROW][C]73[/C][C]177[/C][C]112.634[/C][C]64.3661[/C][/ROW]
[ROW][C]74[/C][C]126[/C][C]111.267[/C][C]14.733[/C][/ROW]
[ROW][C]75[/C][C]76[/C][C]118.301[/C][C]-42.3005[/C][/ROW]
[ROW][C]76[/C][C]99[/C][C]118.172[/C][C]-19.1715[/C][/ROW]
[ROW][C]77[/C][C]157[/C][C]116.349[/C][C]40.6509[/C][/ROW]
[ROW][C]78[/C][C]139[/C][C]112.997[/C][C]26.0026[/C][/ROW]
[ROW][C]79[/C][C]78[/C][C]116.513[/C][C]-38.5129[/C][/ROW]
[ROW][C]80[/C][C]162[/C][C]115.263[/C][C]46.7369[/C][/ROW]
[ROW][C]81[/C][C]108[/C][C]111.817[/C][C]-3.81678[/C][/ROW]
[ROW][C]82[/C][C]159[/C][C]124.166[/C][C]34.8338[/C][/ROW]
[ROW][C]83[/C][C]74[/C][C]112.751[/C][C]-38.751[/C][/ROW]
[ROW][C]84[/C][C]110[/C][C]116.267[/C][C]-6.26742[/C][/ROW]
[ROW][C]85[/C][C]96[/C][C]112.821[/C][C]-16.8211[/C][/ROW]
[ROW][C]86[/C][C]116[/C][C]115.66[/C][C]0.339621[/C][/ROW]
[ROW][C]87[/C][C]87[/C][C]120.323[/C][C]-33.3226[/C][/ROW]
[ROW][C]88[/C][C]97[/C][C]114.199[/C][C]-17.199[/C][/ROW]
[ROW][C]89[/C][C]127[/C][C]118.044[/C][C]8.9559[/C][/ROW]
[ROW][C]90[/C][C]106[/C][C]117.973[/C][C]-11.9734[/C][/ROW]
[ROW][C]91[/C][C]80[/C][C]114.912[/C][C]-34.9125[/C][/ROW]
[ROW][C]92[/C][C]74[/C][C]123.5[/C][C]-49.5[/C][/ROW]
[ROW][C]93[/C][C]91[/C][C]118.301[/C][C]-27.3005[/C][/ROW]
[ROW][C]94[/C][C]133[/C][C]117.121[/C][C]15.8791[/C][/ROW]
[ROW][C]95[/C][C]74[/C][C]116.361[/C][C]-42.361[/C][/ROW]
[ROW][C]96[/C][C]114[/C][C]111.384[/C][C]2.61589[/C][/ROW]
[ROW][C]97[/C][C]140[/C][C]118.838[/C][C]21.1622[/C][/ROW]
[ROW][C]98[/C][C]95[/C][C]116.899[/C][C]-21.8989[/C][/ROW]
[ROW][C]99[/C][C]98[/C][C]117.015[/C][C]-19.0153[/C][/ROW]
[ROW][C]100[/C][C]121[/C][C]120.672[/C][C]0.328273[/C][/ROW]
[ROW][C]101[/C][C]126[/C][C]118.113[/C][C]7.8867[/C][/ROW]
[ROW][C]102[/C][C]98[/C][C]117.927[/C][C]-19.927[/C][/ROW]
[ROW][C]103[/C][C]95[/C][C]115.403[/C][C]-20.403[/C][/ROW]
[ROW][C]104[/C][C]110[/C][C]119.586[/C][C]-9.58568[/C][/ROW]
[ROW][C]105[/C][C]70[/C][C]116.886[/C][C]-46.8864[/C][/ROW]
[ROW][C]106[/C][C]102[/C][C]120.765[/C][C]-18.7653[/C][/ROW]
[ROW][C]107[/C][C]86[/C][C]104.492[/C][C]-18.4915[/C][/ROW]
[ROW][C]108[/C][C]130[/C][C]115.906[/C][C]14.0942[/C][/ROW]
[ROW][C]109[/C][C]96[/C][C]123.863[/C][C]-27.8626[/C][/ROW]
[ROW][C]110[/C][C]102[/C][C]117.682[/C][C]-15.6816[/C][/ROW]
[ROW][C]111[/C][C]100[/C][C]111.56[/C][C]-11.5598[/C][/ROW]
[ROW][C]112[/C][C]94[/C][C]116.268[/C][C]-22.2684[/C][/ROW]
[ROW][C]113[/C][C]52[/C][C]115.192[/C][C]-63.1923[/C][/ROW]
[ROW][C]114[/C][C]98[/C][C]120.614[/C][C]-22.6144[/C][/ROW]
[ROW][C]115[/C][C]118[/C][C]121.046[/C][C]-3.04616[/C][/ROW]
[ROW][C]116[/C][C]99[/C][C]114.959[/C][C]-15.9588[/C][/ROW]
[ROW][C]117[/C][C]48[/C][C]114.994[/C][C]-66.9942[/C][/ROW]
[ROW][C]118[/C][C]50[/C][C]106.827[/C][C]-56.827[/C][/ROW]
[ROW][C]119[/C][C]150[/C][C]122.39[/C][C]27.6098[/C][/ROW]
[ROW][C]120[/C][C]154[/C][C]118.58[/C][C]35.4196[/C][/ROW]
[ROW][C]121[/C][C]109[/C][C]113.207[/C][C]-4.20746[/C][/ROW]
[ROW][C]122[/C][C]68[/C][C]113.207[/C][C]-45.2065[/C][/ROW]
[ROW][C]123[/C][C]194[/C][C]115.041[/C][C]78.9586[/C][/ROW]
[ROW][C]124[/C][C]158[/C][C]117.6[/C][C]40.4001[/C][/ROW]
[ROW][C]125[/C][C]159[/C][C]121.607[/C][C]37.3931[/C][/ROW]
[ROW][C]126[/C][C]67[/C][C]116.221[/C][C]-49.2211[/C][/ROW]
[ROW][C]127[/C][C]147[/C][C]111.115[/C][C]35.8848[/C][/ROW]
[ROW][C]128[/C][C]39[/C][C]119.025[/C][C]-80.025[/C][/ROW]
[ROW][C]129[/C][C]100[/C][C]119.235[/C][C]-19.2347[/C][/ROW]
[ROW][C]130[/C][C]111[/C][C]118.394[/C][C]-7.39412[/C][/ROW]
[ROW][C]131[/C][C]138[/C][C]112.33[/C][C]25.6698[/C][/ROW]
[ROW][C]132[/C][C]101[/C][C]113.3[/C][C]-12.3001[/C][/ROW]
[ROW][C]133[/C][C]131[/C][C]122.098[/C][C]8.90222[/C][/ROW]
[ROW][C]134[/C][C]101[/C][C]113.861[/C][C]-12.8608[/C][/ROW]
[ROW][C]135[/C][C]114[/C][C]113.335[/C][C]0.665446[/C][/ROW]
[ROW][C]136[/C][C]165[/C][C]116.419[/C][C]48.5807[/C][/ROW]
[ROW][C]137[/C][C]114[/C][C]117.355[/C][C]-3.35536[/C][/ROW]
[ROW][C]138[/C][C]111[/C][C]122.553[/C][C]-11.553[/C][/ROW]
[ROW][C]139[/C][C]75[/C][C]107.377[/C][C]-32.3771[/C][/ROW]
[ROW][C]140[/C][C]82[/C][C]119.445[/C][C]-37.4448[/C][/ROW]
[ROW][C]141[/C][C]121[/C][C]113.522[/C][C]7.47823[/C][/ROW]
[ROW][C]142[/C][C]32[/C][C]120.662[/C][C]-88.6617[/C][/ROW]
[ROW][C]143[/C][C]150[/C][C]120.334[/C][C]29.6664[/C][/ROW]
[ROW][C]144[/C][C]117[/C][C]122.04[/C][C]-5.04049[/C][/ROW]
[ROW][C]145[/C][C]71[/C][C]111.898[/C][C]-40.8975[/C][/ROW]
[ROW][C]146[/C][C]165[/C][C]120.51[/C][C]44.4901[/C][/ROW]
[ROW][C]147[/C][C]154[/C][C]122.658[/C][C]31.3415[/C][/ROW]
[ROW][C]148[/C][C]126[/C][C]126.456[/C][C]-0.45636[/C][/ROW]
[ROW][C]149[/C][C]138[/C][C]116.887[/C][C]21.1127[/C][/ROW]
[ROW][C]150[/C][C]149[/C][C]119.341[/C][C]29.6588[/C][/ROW]
[ROW][C]151[/C][C]145[/C][C]112.763[/C][C]32.2371[/C][/ROW]
[ROW][C]152[/C][C]120[/C][C]125.685[/C][C]-5.68496[/C][/ROW]
[ROW][C]153[/C][C]138[/C][C]114.001[/C][C]23.9992[/C][/ROW]
[ROW][C]154[/C][C]109[/C][C]119.902[/C][C]-10.9019[/C][/ROW]
[ROW][C]155[/C][C]132[/C][C]114.094[/C][C]17.9056[/C][/ROW]
[ROW][C]156[/C][C]172[/C][C]113.721[/C][C]58.2791[/C][/ROW]
[ROW][C]157[/C][C]169[/C][C]123.501[/C][C]45.499[/C][/ROW]
[ROW][C]158[/C][C]114[/C][C]119.388[/C][C]-5.3875[/C][/ROW]
[ROW][C]159[/C][C]156[/C][C]120.894[/C][C]35.1057[/C][/ROW]
[ROW][C]160[/C][C]172[/C][C]108.311[/C][C]63.6887[/C][/ROW]
[ROW][C]161[/C][C]68[/C][C]116.805[/C][C]-48.8047[/C][/ROW]
[ROW][C]162[/C][C]89[/C][C]115.018[/C][C]-26.018[/C][/ROW]
[ROW][C]163[/C][C]167[/C][C]120.637[/C][C]46.3627[/C][/ROW]
[ROW][C]164[/C][C]113[/C][C]120.568[/C][C]-7.5681[/C][/ROW]
[ROW][C]165[/C][C]115[/C][C]119.586[/C][C]-4.58568[/C][/ROW]
[ROW][C]166[/C][C]78[/C][C]110.123[/C][C]-32.1228[/C][/ROW]
[ROW][C]167[/C][C]118[/C][C]115.836[/C][C]2.16431[/C][/ROW]
[ROW][C]168[/C][C]87[/C][C]115.24[/C][C]-28.2396[/C][/ROW]
[ROW][C]169[/C][C]173[/C][C]107.108[/C][C]65.8918[/C][/ROW]
[ROW][C]170[/C][C]2[/C][C]120.006[/C][C]-118.006[/C][/ROW]
[ROW][C]171[/C][C]162[/C][C]124.096[/C][C]37.9039[/C][/ROW]
[ROW][C]172[/C][C]49[/C][C]117.108[/C][C]-68.108[/C][/ROW]
[ROW][C]173[/C][C]122[/C][C]116.081[/C][C]5.91885[/C][/ROW]
[ROW][C]174[/C][C]96[/C][C]122.169[/C][C]-26.1685[/C][/ROW]
[ROW][C]175[/C][C]100[/C][C]117.752[/C][C]-17.7517[/C][/ROW]
[ROW][C]176[/C][C]82[/C][C]119.199[/C][C]-37.1993[/C][/ROW]
[ROW][C]177[/C][C]100[/C][C]124.75[/C][C]-24.7498[/C][/ROW]
[ROW][C]178[/C][C]115[/C][C]114.948[/C][C]0.052175[/C][/ROW]
[ROW][C]179[/C][C]141[/C][C]119.667[/C][C]21.3326[/C][/ROW]
[ROW][C]180[/C][C]165[/C][C]119.248[/C][C]45.7524[/C][/ROW]
[ROW][C]181[/C][C]165[/C][C]118.161[/C][C]46.8394[/C][/ROW]
[ROW][C]182[/C][C]110[/C][C]116.127[/C][C]-6.12748[/C][/ROW]
[ROW][C]183[/C][C]118[/C][C]115.602[/C][C]2.39786[/C][/ROW]
[ROW][C]184[/C][C]158[/C][C]106.512[/C][C]51.4882[/C][/ROW]
[ROW][C]185[/C][C]146[/C][C]115.882[/C][C]30.118[/C][/ROW]
[ROW][C]186[/C][C]49[/C][C]112.015[/C][C]-63.015[/C][/ROW]
[ROW][C]187[/C][C]90[/C][C]116.408[/C][C]-26.4083[/C][/ROW]
[ROW][C]188[/C][C]121[/C][C]112.95[/C][C]8.0499[/C][/ROW]
[ROW][C]189[/C][C]155[/C][C]122.309[/C][C]32.6906[/C][/ROW]
[ROW][C]190[/C][C]104[/C][C]117.973[/C][C]-13.9734[/C][/ROW]
[ROW][C]191[/C][C]147[/C][C]114.024[/C][C]32.9758[/C][/ROW]
[ROW][C]192[/C][C]110[/C][C]114.013[/C][C]-4.01268[/C][/ROW]
[ROW][C]193[/C][C]108[/C][C]118.873[/C][C]-10.8731[/C][/ROW]
[ROW][C]194[/C][C]113[/C][C]121.14[/C][C]-8.13977[/C][/ROW]
[ROW][C]195[/C][C]115[/C][C]122.413[/C][C]-7.41304[/C][/ROW]
[ROW][C]196[/C][C]61[/C][C]119.808[/C][C]-58.8083[/C][/ROW]
[ROW][C]197[/C][C]60[/C][C]112.155[/C][C]-52.1549[/C][/ROW]
[ROW][C]198[/C][C]109[/C][C]122.039[/C][C]-13.0386[/C][/ROW]
[ROW][C]199[/C][C]68[/C][C]112.552[/C][C]-44.5522[/C][/ROW]
[ROW][C]200[/C][C]111[/C][C]118.499[/C][C]-7.49869[/C][/ROW]
[ROW][C]201[/C][C]77[/C][C]105.262[/C][C]-28.2623[/C][/ROW]
[ROW][C]202[/C][C]73[/C][C]115.601[/C][C]-42.6012[/C][/ROW]
[ROW][C]203[/C][C]151[/C][C]116.735[/C][C]34.2645[/C][/ROW]
[ROW][C]204[/C][C]89[/C][C]115.928[/C][C]-26.9284[/C][/ROW]
[ROW][C]205[/C][C]78[/C][C]114.375[/C][C]-36.3752[/C][/ROW]
[ROW][C]206[/C][C]110[/C][C]119.398[/C][C]-9.39846[/C][/ROW]
[ROW][C]207[/C][C]220[/C][C]117.141[/C][C]102.859[/C][/ROW]
[ROW][C]208[/C][C]65[/C][C]118.592[/C][C]-53.5923[/C][/ROW]
[ROW][C]209[/C][C]141[/C][C]117.693[/C][C]23.3065[/C][/ROW]
[ROW][C]210[/C][C]117[/C][C]120.124[/C][C]-3.12353[/C][/ROW]
[ROW][C]211[/C][C]122[/C][C]117.961[/C][C]4.03855[/C][/ROW]
[ROW][C]212[/C][C]63[/C][C]104.654[/C][C]-41.6543[/C][/ROW]
[ROW][C]213[/C][C]44[/C][C]116.467[/C][C]-72.4675[/C][/ROW]
[ROW][C]214[/C][C]52[/C][C]109.223[/C][C]-57.223[/C][/ROW]
[ROW][C]215[/C][C]62[/C][C]111.746[/C][C]-49.746[/C][/ROW]
[ROW][C]216[/C][C]131[/C][C]110.742[/C][C]20.2583[/C][/ROW]
[ROW][C]217[/C][C]101[/C][C]116.268[/C][C]-15.2684[/C][/ROW]
[ROW][C]218[/C][C]42[/C][C]117.121[/C][C]-75.1209[/C][/ROW]
[ROW][C]219[/C][C]152[/C][C]121.328[/C][C]30.6721[/C][/ROW]
[ROW][C]220[/C][C]107[/C][C]117.646[/C][C]-10.6462[/C][/ROW]
[ROW][C]221[/C][C]77[/C][C]120.568[/C][C]-43.5681[/C][/ROW]
[ROW][C]222[/C][C]154[/C][C]116.654[/C][C]37.3462[/C][/ROW]
[ROW][C]223[/C][C]103[/C][C]114.468[/C][C]-11.4679[/C][/ROW]
[ROW][C]224[/C][C]96[/C][C]109.736[/C][C]-13.7364[/C][/ROW]
[ROW][C]225[/C][C]154[/C][C]107.915[/C][C]46.0847[/C][/ROW]
[ROW][C]226[/C][C]175[/C][C]118.967[/C][C]56.0333[/C][/ROW]
[ROW][C]227[/C][C]57[/C][C]112.015[/C][C]-55.015[/C][/ROW]
[ROW][C]228[/C][C]112[/C][C]120.275[/C][C]-8.27537[/C][/ROW]
[ROW][C]229[/C][C]143[/C][C]117.973[/C][C]25.0266[/C][/ROW]
[ROW][C]230[/C][C]49[/C][C]118.779[/C][C]-69.7786[/C][/ROW]
[ROW][C]231[/C][C]110[/C][C]118.721[/C][C]-8.72128[/C][/ROW]
[ROW][C]232[/C][C]131[/C][C]117.962[/C][C]13.0376[/C][/ROW]
[ROW][C]233[/C][C]167[/C][C]118.101[/C][C]48.8986[/C][/ROW]
[ROW][C]234[/C][C]56[/C][C]116.969[/C][C]-60.969[/C][/ROW]
[ROW][C]235[/C][C]137[/C][C]117.6[/C][C]19.4001[/C][/ROW]
[ROW][C]236[/C][C]86[/C][C]118.686[/C][C]-32.6859[/C][/ROW]
[ROW][C]237[/C][C]121[/C][C]119.773[/C][C]1.2271[/C][/ROW]
[ROW][C]238[/C][C]149[/C][C]117.542[/C][C]31.4584[/C][/ROW]
[ROW][C]239[/C][C]168[/C][C]120.673[/C][C]47.3273[/C][/ROW]
[ROW][C]240[/C][C]140[/C][C]113.068[/C][C]26.9325[/C][/ROW]
[ROW][C]241[/C][C]88[/C][C]120.252[/C][C]-32.2519[/C][/ROW]
[ROW][C]242[/C][C]168[/C][C]116.408[/C][C]51.5917[/C][/ROW]
[ROW][C]243[/C][C]94[/C][C]121.749[/C][C]-27.7487[/C][/ROW]
[ROW][C]244[/C][C]51[/C][C]117.973[/C][C]-66.9734[/C][/ROW]
[ROW][C]245[/C][C]48[/C][C]117.881[/C][C]-69.8807[/C][/ROW]
[ROW][C]246[/C][C]145[/C][C]120.906[/C][C]24.0938[/C][/ROW]
[ROW][C]247[/C][C]66[/C][C]113.312[/C][C]-47.3117[/C][/ROW]
[ROW][C]248[/C][C]85[/C][C]118.545[/C][C]-33.545[/C][/ROW]
[ROW][C]249[/C][C]109[/C][C]123.278[/C][C]-14.2784[/C][/ROW]
[ROW][C]250[/C][C]63[/C][C]116.548[/C][C]-53.5482[/C][/ROW]
[ROW][C]251[/C][C]102[/C][C]116.84[/C][C]-14.84[/C][/ROW]
[ROW][C]252[/C][C]162[/C][C]117.249[/C][C]44.7511[/C][/ROW]
[ROW][C]253[/C][C]128[/C][C]116.981[/C][C]11.0191[/C][/ROW]
[ROW][C]254[/C][C]86[/C][C]116.549[/C][C]-30.5492[/C][/ROW]
[ROW][C]255[/C][C]114[/C][C]116.7[/C][C]-2.70009[/C][/ROW]
[ROW][C]256[/C][C]164[/C][C]111.489[/C][C]52.5113[/C][/ROW]
[ROW][C]257[/C][C]119[/C][C]107.715[/C][C]11.2848[/C][/ROW]
[ROW][C]258[/C][C]126[/C][C]118.452[/C][C]7.54764[/C][/ROW]
[ROW][C]259[/C][C]132[/C][C]121.993[/C][C]10.0068[/C][/ROW]
[ROW][C]260[/C][C]142[/C][C]119.527[/C][C]22.4726[/C][/ROW]
[ROW][C]261[/C][C]83[/C][C]122.449[/C][C]-39.4494[/C][/ROW]
[ROW][C]262[/C][C]94[/C][C]116.688[/C][C]-22.6882[/C][/ROW]
[ROW][C]263[/C][C]81[/C][C]112.68[/C][C]-31.6799[/C][/ROW]
[ROW][C]264[/C][C]166[/C][C]115.637[/C][C]50.3634[/C][/ROW]
[ROW][C]265[/C][C]110[/C][C]117.74[/C][C]-7.73981[/C][/ROW]
[ROW][C]266[/C][C]64[/C][C]118.72[/C][C]-54.7203[/C][/ROW]
[ROW][C]267[/C][C]93[/C][C]124.306[/C][C]-31.3062[/C][/ROW]
[ROW][C]268[/C][C]104[/C][C]119.808[/C][C]-15.8083[/C][/ROW]
[ROW][C]269[/C][C]105[/C][C]110.075[/C][C]-5.07547[/C][/ROW]
[ROW][C]270[/C][C]49[/C][C]112.68[/C][C]-63.6802[/C][/ROW]
[ROW][C]271[/C][C]88[/C][C]116.034[/C][C]-28.0339[/C][/ROW]
[ROW][C]272[/C][C]95[/C][C]112.762[/C][C]-17.7619[/C][/ROW]
[ROW][C]273[/C][C]102[/C][C]114.725[/C][C]-12.7252[/C][/ROW]
[ROW][C]274[/C][C]99[/C][C]113.534[/C][C]-14.5337[/C][/ROW]
[ROW][C]275[/C][C]63[/C][C]117.775[/C][C]-54.7752[/C][/ROW]
[ROW][C]276[/C][C]76[/C][C]104.363[/C][C]-28.3625[/C][/ROW]
[ROW][C]277[/C][C]109[/C][C]116.676[/C][C]-7.67568[/C][/ROW]
[ROW][C]278[/C][C]117[/C][C]121.852[/C][C]-4.85233[/C][/ROW]
[ROW][C]279[/C][C]57[/C][C]118.546[/C][C]-61.546[/C][/ROW]
[ROW][C]280[/C][C]120[/C][C]118.02[/C][C]1.98031[/C][/ROW]
[ROW][C]281[/C][C]73[/C][C]122.017[/C][C]-49.0167[/C][/ROW]
[ROW][C]282[/C][C]91[/C][C]114.573[/C][C]-23.5734[/C][/ROW]
[ROW][C]283[/C][C]108[/C][C]116.467[/C][C]-8.46654[/C][/ROW]
[ROW][C]284[/C][C]105[/C][C]117.646[/C][C]-12.6462[/C][/ROW]
[ROW][C]285[/C][C]117[/C][C]115.076[/C][C]1.92414[/C][/ROW]
[ROW][C]286[/C][C]119[/C][C]118.207[/C][C]0.793095[/C][/ROW]
[ROW][C]287[/C][C]31[/C][C]114.982[/C][C]-83.9823[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266314&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266314&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
1149107.64541.3549
2152117.01434.9856
3139115.89323.107
4148110.82337.1766
5158121.61936.3812
6128115.30912.6906
7224117.868106.132
8159113.90745.0928
9105113.523-8.52272
10159124.37534.6246
11167117.65849.3419
12165117.20247.7984
13159118.60440.3958
14119118.0080.992217
15176120.00755.9926
1654122.612-68.6122
1791117.459-26.459
18163115.30947.6906
19124116.9347.06636
20137115.56721.4332
21121122.998-1.99755
22153121.52631.4739
23148116.80631.1944
24221116.606104.394
25188116.8471.16
26149121.04627.9538
27244116.127127.873
28148113.15934.8408
2992116.315-24.3147
30150118.49931.5013
31153118.44134.5586
3294116.373-22.3726
33156116.98139.0191
34146127.63718.363
35132116.88615.1136
36161103.00857.9924
37105119.188-14.1884
3897118.581-21.5813
39151116.84134.159
40131117.07413.9264
41166117.55348.4474
42157116.82940.1709
43111113.23-2.22999
44145115.36929.6314
45162114.90147.0985
46163105.96357.037
4759108.078-49.0778
48187119.07167.9287
49109119.376-10.3756
5090117.413-27.4126
51105119.025-14.025
5283122.157-39.1566
53116121.034-5.03426
5442113.954-71.9544
55148112.43635.5643
56155121.75933.2413
57125118.4066.59397
58116117.787-1.78708
59128120.6847.31576
60138116.03421.9661
6149111.969-62.9686
6296117.962-21.9624
63164122.4641.5397
64162116.79445.2063
6599115.497-16.4966
66202115.0386.9705
67186113.81472.1864
6866112.062-46.0622
69183119.53863.4616
70214119.294.7997
71188112.96275.038
72104113.277-9.27726
73177112.63464.3661
74126111.26714.733
7576118.301-42.3005
7699118.172-19.1715
77157116.34940.6509
78139112.99726.0026
7978116.513-38.5129
80162115.26346.7369
81108111.817-3.81678
82159124.16634.8338
8374112.751-38.751
84110116.267-6.26742
8596112.821-16.8211
86116115.660.339621
8787120.323-33.3226
8897114.199-17.199
89127118.0448.9559
90106117.973-11.9734
9180114.912-34.9125
9274123.5-49.5
9391118.301-27.3005
94133117.12115.8791
9574116.361-42.361
96114111.3842.61589
97140118.83821.1622
9895116.899-21.8989
9998117.015-19.0153
100121120.6720.328273
101126118.1137.8867
10298117.927-19.927
10395115.403-20.403
104110119.586-9.58568
10570116.886-46.8864
106102120.765-18.7653
10786104.492-18.4915
108130115.90614.0942
10996123.863-27.8626
110102117.682-15.6816
111100111.56-11.5598
11294116.268-22.2684
11352115.192-63.1923
11498120.614-22.6144
115118121.046-3.04616
11699114.959-15.9588
11748114.994-66.9942
11850106.827-56.827
119150122.3927.6098
120154118.5835.4196
121109113.207-4.20746
12268113.207-45.2065
123194115.04178.9586
124158117.640.4001
125159121.60737.3931
12667116.221-49.2211
127147111.11535.8848
12839119.025-80.025
129100119.235-19.2347
130111118.394-7.39412
131138112.3325.6698
132101113.3-12.3001
133131122.0988.90222
134101113.861-12.8608
135114113.3350.665446
136165116.41948.5807
137114117.355-3.35536
138111122.553-11.553
13975107.377-32.3771
14082119.445-37.4448
141121113.5227.47823
14232120.662-88.6617
143150120.33429.6664
144117122.04-5.04049
14571111.898-40.8975
146165120.5144.4901
147154122.65831.3415
148126126.456-0.45636
149138116.88721.1127
150149119.34129.6588
151145112.76332.2371
152120125.685-5.68496
153138114.00123.9992
154109119.902-10.9019
155132114.09417.9056
156172113.72158.2791
157169123.50145.499
158114119.388-5.3875
159156120.89435.1057
160172108.31163.6887
16168116.805-48.8047
16289115.018-26.018
163167120.63746.3627
164113120.568-7.5681
165115119.586-4.58568
16678110.123-32.1228
167118115.8362.16431
16887115.24-28.2396
169173107.10865.8918
1702120.006-118.006
171162124.09637.9039
17249117.108-68.108
173122116.0815.91885
17496122.169-26.1685
175100117.752-17.7517
17682119.199-37.1993
177100124.75-24.7498
178115114.9480.052175
179141119.66721.3326
180165119.24845.7524
181165118.16146.8394
182110116.127-6.12748
183118115.6022.39786
184158106.51251.4882
185146115.88230.118
18649112.015-63.015
18790116.408-26.4083
188121112.958.0499
189155122.30932.6906
190104117.973-13.9734
191147114.02432.9758
192110114.013-4.01268
193108118.873-10.8731
194113121.14-8.13977
195115122.413-7.41304
19661119.808-58.8083
19760112.155-52.1549
198109122.039-13.0386
19968112.552-44.5522
200111118.499-7.49869
20177105.262-28.2623
20273115.601-42.6012
203151116.73534.2645
20489115.928-26.9284
20578114.375-36.3752
206110119.398-9.39846
207220117.141102.859
20865118.592-53.5923
209141117.69323.3065
210117120.124-3.12353
211122117.9614.03855
21263104.654-41.6543
21344116.467-72.4675
21452109.223-57.223
21562111.746-49.746
216131110.74220.2583
217101116.268-15.2684
21842117.121-75.1209
219152121.32830.6721
220107117.646-10.6462
22177120.568-43.5681
222154116.65437.3462
223103114.468-11.4679
22496109.736-13.7364
225154107.91546.0847
226175118.96756.0333
22757112.015-55.015
228112120.275-8.27537
229143117.97325.0266
23049118.779-69.7786
231110118.721-8.72128
232131117.96213.0376
233167118.10148.8986
23456116.969-60.969
235137117.619.4001
23686118.686-32.6859
237121119.7731.2271
238149117.54231.4584
239168120.67347.3273
240140113.06826.9325
24188120.252-32.2519
242168116.40851.5917
24394121.749-27.7487
24451117.973-66.9734
24548117.881-69.8807
246145120.90624.0938
24766113.312-47.3117
24885118.545-33.545
249109123.278-14.2784
25063116.548-53.5482
251102116.84-14.84
252162117.24944.7511
253128116.98111.0191
25486116.549-30.5492
255114116.7-2.70009
256164111.48952.5113
257119107.71511.2848
258126118.4527.54764
259132121.99310.0068
260142119.52722.4726
26183122.449-39.4494
26294116.688-22.6882
26381112.68-31.6799
264166115.63750.3634
265110117.74-7.73981
26664118.72-54.7203
26793124.306-31.3062
268104119.808-15.8083
269105110.075-5.07547
27049112.68-63.6802
27188116.034-28.0339
27295112.762-17.7619
273102114.725-12.7252
27499113.534-14.5337
27563117.775-54.7752
27676104.363-28.3625
277109116.676-7.67568
278117121.852-4.85233
27957118.546-61.546
280120118.021.98031
28173122.017-49.0167
28291114.573-23.5734
283108116.467-8.46654
284105117.646-12.6462
285117115.0761.92414
286119118.2070.793095
28731114.982-83.9823






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.6308450.738310.369155
80.493130.9862590.50687
90.4576290.9152580.542371
100.3315310.6630620.668469
110.2830730.5661450.716927
120.1958710.3917410.804129
130.1308820.2617640.869118
140.1618310.3236610.838169
150.1374860.2749710.862514
160.55960.8807990.4404
170.6458420.7083170.354158
180.5888420.8223170.411158
190.5275070.9449870.472493
200.4538510.9077010.546149
210.3897060.7794120.610294
220.3473870.6947740.652613
230.2921730.5843450.707827
240.5000080.9999830.499992
250.5142260.9715470.485774
260.4540410.9080820.545959
270.7535990.4928030.246401
280.7146230.5707540.285377
290.7555420.4889160.244458
300.712840.5743190.28716
310.6703280.6593430.329672
320.6702970.6594060.329703
330.6289070.7421860.371093
340.60610.78780.3939
350.5664730.8670550.433527
360.530480.939040.46952
370.5210860.9578280.478914
380.5333290.9333420.466671
390.4889460.9778930.511054
400.447270.8945390.55273
410.419090.8381790.58091
420.3861880.7723770.613812
430.3682510.7365020.631749
440.3273120.6546230.672688
450.301120.6022410.69888
460.2783410.5566820.721659
470.4327010.8654030.567299
480.4437330.8874670.556267
490.4155290.8310580.584471
500.472280.9445610.52772
510.4847990.9695970.515201
520.4901630.9803260.509837
530.4535660.9071320.546434
540.677090.6458210.32291
550.6484530.7030930.351547
560.6188410.7623180.381159
570.5866830.8266350.413317
580.5566080.8867840.443392
590.516720.966560.48328
600.4792890.9585770.520711
610.6266930.7466140.373307
620.6079340.7841310.392066
630.5995580.8008830.400442
640.5873210.8253580.412679
650.5640460.8719080.435954
660.684230.631540.31577
670.7158210.5683570.284179
680.7627040.4745920.237296
690.7748790.4502420.225121
700.866550.2669010.13345
710.9020010.1959990.0979994
720.8876480.2247040.112352
730.898590.2028210.10141
740.8874930.2250140.112507
750.9095770.1808470.0904234
760.9163550.1672910.0836453
770.912120.1757590.0878797
780.9013090.1973810.0986905
790.9203010.1593980.0796991
800.9212550.157490.0787452
810.9096360.1807270.0903636
820.9030610.1938790.0969394
830.9104030.1791950.0895974
840.9009630.1980730.0990366
850.897230.2055390.10277
860.8843320.2313360.115668
870.8821540.2356920.117846
880.8849320.2301370.115068
890.8669730.2660530.133027
900.8567810.2864370.143219
910.8722160.2555680.127784
920.8919870.2160260.108013
930.8905730.2188530.109427
940.8752930.2494140.124707
950.8889040.2221930.111096
960.8718630.2562750.128137
970.8585180.2829650.141482
980.8442250.3115510.155775
990.8316540.3366920.168346
1000.813630.372740.18637
1010.792010.4159790.20799
1020.7802650.439470.219735
1030.7645280.4709440.235472
1040.7455530.5088930.254447
1050.7753980.4492040.224602
1060.7617710.4764580.238229
1070.7486540.5026910.251346
1080.7258910.5482180.274109
1090.7105770.5788450.289423
1100.6882310.6235390.311769
1110.6724670.6550660.327533
1120.6551760.6896480.344824
1130.7292310.5415390.270769
1140.7117050.576590.288295
1150.6837580.6324840.316242
1160.6680810.6638380.331919
1170.7375720.5248570.262428
1180.7699540.4600920.230046
1190.7573070.4853860.242693
1200.751420.497160.24858
1210.7264960.5470070.273504
1220.7442230.5115530.255777
1230.817580.364840.18242
1240.8186580.3626840.181342
1250.8162490.3675020.183751
1260.83290.3342010.1671
1270.8293420.3413170.170658
1280.8942960.2114080.105704
1290.8825780.2348440.117422
1300.8663880.2672240.133612
1310.8553310.2893370.144669
1320.839450.3210990.16055
1330.8213980.3572030.178602
1340.8025990.3948030.197401
1350.7794350.441130.220565
1360.7959270.4081460.204073
1370.7716890.4566220.228311
1380.7487010.5025970.251299
1390.7417470.5165060.258253
1400.7416230.5167540.258377
1410.7154660.5690680.284534
1420.8234950.353010.176505
1430.8154170.3691650.184583
1440.7923760.4152480.207624
1450.7958450.408310.204155
1460.8016670.3966660.198333
1470.7974980.4050040.202502
1480.7729510.4540990.227049
1490.7562730.4874540.243727
1500.7459490.5081020.254051
1510.7374750.525050.262525
1520.7117360.5765280.288264
1530.6969060.6061880.303094
1540.6690630.6618730.330937
1550.6473120.7053770.352688
1560.6927390.6145220.307261
1570.7067590.5864820.293241
1580.6782770.6434460.321723
1590.6768430.6463150.323157
1600.7285350.542930.271465
1610.7423410.5153180.257659
1620.728030.5439390.27197
1630.7555190.4889620.244481
1640.7291580.5416840.270842
1650.7030450.5939090.296955
1660.6927350.614530.307265
1670.6628510.6742970.337149
1680.6459530.7080930.354047
1690.7224840.5550320.277516
1700.897810.204380.10219
1710.8970410.2059180.102959
1720.9244220.1511550.0755776
1730.913050.1738990.0869497
1740.9046210.1907580.0953791
1750.8920420.2159150.107958
1760.8881560.2236870.111844
1770.8755780.2488440.124422
1780.8582120.2835750.141788
1790.846360.307280.15364
1800.8622910.2754180.137709
1810.8795380.2409250.120462
1820.8617380.2765240.138262
1830.8427980.3144030.157202
1840.8664680.2670640.133532
1850.8643580.2712850.135642
1860.88610.2278010.1139
1870.8739220.2521560.126078
1880.858260.283480.14174
1890.8591310.2817390.140869
1900.839660.3206790.16034
1910.8404240.3191520.159576
1920.8197470.3605060.180253
1930.79620.4076010.2038
1940.7702420.4595160.229758
1950.7420680.5158630.257932
1960.7675890.4648220.232411
1970.77790.44420.2221
1980.7510540.4978910.248946
1990.7484470.5031060.251553
2000.7185720.5628570.281428
2010.696120.607760.30388
2020.693470.613060.30653
2030.7004530.5990940.299547
2040.677660.644680.32234
2050.6628030.6743940.337197
2060.6283460.7433080.371654
2070.8500040.2999910.149996
2080.8581860.2836280.141814
2090.8504030.2991950.149597
2100.8282270.3435450.171773
2110.8080390.3839220.191961
2120.8035170.3929660.196483
2130.8633320.2733360.136668
2140.8832990.2334020.116701
2150.892960.2140790.10704
2160.880210.239580.11979
2170.8607290.2785430.139271
2180.9064270.1871460.0935728
2190.9019330.1961340.0980671
2200.883240.2335190.11676
2210.8836590.2326830.116341
2220.8865940.2268120.113406
2230.8660560.2678880.133944
2240.8427920.3144160.157208
2250.8487370.3025260.151263
2260.8932630.2134750.106737
2270.9040950.1918090.0959047
2280.8851090.2297820.114891
2290.8838370.2323260.116163
2300.9091380.1817250.0908624
2310.8900640.2198720.109936
2320.8781590.2436810.121841
2330.9190270.1619470.0809734
2340.9305340.1389320.0694662
2350.9238980.1522040.0761022
2360.9120870.1758270.0879133
2370.8943930.2112130.105607
2380.9024560.1950870.0975436
2390.9334160.1331670.0665837
2400.9323110.1353790.0676894
2410.9197770.1604470.0802234
2420.9570170.08596660.0429833
2430.9451070.1097860.0548932
2440.9598450.08030960.0401548
2450.9731870.05362510.0268125
2460.9748310.0503380.025169
2470.9728350.05432970.0271649
2480.9671580.06568330.0328417
2490.9560150.08797070.0439854
2500.9589130.08217360.0410868
2510.9451070.1097860.0548928
2520.9698360.06032830.0301642
2530.9653040.0693930.0346965
2540.9543730.09125470.0456274
2550.9399870.1200250.0600126
2560.9761440.04771160.0238558
2570.9735290.05294250.0264713
2580.96790.06419910.0320996
2590.9646040.07079240.0353962
2600.973590.05281950.0264097
2610.9632210.07355830.0367792
2620.9472110.1055790.0527894
2630.9267110.1465780.0732892
2640.9922980.01540330.00770164
2650.9882010.02359720.0117986
2660.9853160.02936860.0146843
2670.9767130.04657410.023287
2680.9658920.06821640.0341082
2690.9598250.08034940.0401747
2700.9749210.05015720.0250786
2710.9579920.08401560.0420078
2720.93170.13660.0682998
2730.8914910.2170180.108509
2740.8384590.3230810.161541
2750.7943410.4113170.205659
2760.7119410.5761170.288059
2770.6196330.7607340.380367
2780.4926590.9853190.507341
2790.6013610.7972770.398639
2800.4383490.8766980.561651

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.630845 & 0.73831 & 0.369155 \tabularnewline
8 & 0.49313 & 0.986259 & 0.50687 \tabularnewline
9 & 0.457629 & 0.915258 & 0.542371 \tabularnewline
10 & 0.331531 & 0.663062 & 0.668469 \tabularnewline
11 & 0.283073 & 0.566145 & 0.716927 \tabularnewline
12 & 0.195871 & 0.391741 & 0.804129 \tabularnewline
13 & 0.130882 & 0.261764 & 0.869118 \tabularnewline
14 & 0.161831 & 0.323661 & 0.838169 \tabularnewline
15 & 0.137486 & 0.274971 & 0.862514 \tabularnewline
16 & 0.5596 & 0.880799 & 0.4404 \tabularnewline
17 & 0.645842 & 0.708317 & 0.354158 \tabularnewline
18 & 0.588842 & 0.822317 & 0.411158 \tabularnewline
19 & 0.527507 & 0.944987 & 0.472493 \tabularnewline
20 & 0.453851 & 0.907701 & 0.546149 \tabularnewline
21 & 0.389706 & 0.779412 & 0.610294 \tabularnewline
22 & 0.347387 & 0.694774 & 0.652613 \tabularnewline
23 & 0.292173 & 0.584345 & 0.707827 \tabularnewline
24 & 0.500008 & 0.999983 & 0.499992 \tabularnewline
25 & 0.514226 & 0.971547 & 0.485774 \tabularnewline
26 & 0.454041 & 0.908082 & 0.545959 \tabularnewline
27 & 0.753599 & 0.492803 & 0.246401 \tabularnewline
28 & 0.714623 & 0.570754 & 0.285377 \tabularnewline
29 & 0.755542 & 0.488916 & 0.244458 \tabularnewline
30 & 0.71284 & 0.574319 & 0.28716 \tabularnewline
31 & 0.670328 & 0.659343 & 0.329672 \tabularnewline
32 & 0.670297 & 0.659406 & 0.329703 \tabularnewline
33 & 0.628907 & 0.742186 & 0.371093 \tabularnewline
34 & 0.6061 & 0.7878 & 0.3939 \tabularnewline
35 & 0.566473 & 0.867055 & 0.433527 \tabularnewline
36 & 0.53048 & 0.93904 & 0.46952 \tabularnewline
37 & 0.521086 & 0.957828 & 0.478914 \tabularnewline
38 & 0.533329 & 0.933342 & 0.466671 \tabularnewline
39 & 0.488946 & 0.977893 & 0.511054 \tabularnewline
40 & 0.44727 & 0.894539 & 0.55273 \tabularnewline
41 & 0.41909 & 0.838179 & 0.58091 \tabularnewline
42 & 0.386188 & 0.772377 & 0.613812 \tabularnewline
43 & 0.368251 & 0.736502 & 0.631749 \tabularnewline
44 & 0.327312 & 0.654623 & 0.672688 \tabularnewline
45 & 0.30112 & 0.602241 & 0.69888 \tabularnewline
46 & 0.278341 & 0.556682 & 0.721659 \tabularnewline
47 & 0.432701 & 0.865403 & 0.567299 \tabularnewline
48 & 0.443733 & 0.887467 & 0.556267 \tabularnewline
49 & 0.415529 & 0.831058 & 0.584471 \tabularnewline
50 & 0.47228 & 0.944561 & 0.52772 \tabularnewline
51 & 0.484799 & 0.969597 & 0.515201 \tabularnewline
52 & 0.490163 & 0.980326 & 0.509837 \tabularnewline
53 & 0.453566 & 0.907132 & 0.546434 \tabularnewline
54 & 0.67709 & 0.645821 & 0.32291 \tabularnewline
55 & 0.648453 & 0.703093 & 0.351547 \tabularnewline
56 & 0.618841 & 0.762318 & 0.381159 \tabularnewline
57 & 0.586683 & 0.826635 & 0.413317 \tabularnewline
58 & 0.556608 & 0.886784 & 0.443392 \tabularnewline
59 & 0.51672 & 0.96656 & 0.48328 \tabularnewline
60 & 0.479289 & 0.958577 & 0.520711 \tabularnewline
61 & 0.626693 & 0.746614 & 0.373307 \tabularnewline
62 & 0.607934 & 0.784131 & 0.392066 \tabularnewline
63 & 0.599558 & 0.800883 & 0.400442 \tabularnewline
64 & 0.587321 & 0.825358 & 0.412679 \tabularnewline
65 & 0.564046 & 0.871908 & 0.435954 \tabularnewline
66 & 0.68423 & 0.63154 & 0.31577 \tabularnewline
67 & 0.715821 & 0.568357 & 0.284179 \tabularnewline
68 & 0.762704 & 0.474592 & 0.237296 \tabularnewline
69 & 0.774879 & 0.450242 & 0.225121 \tabularnewline
70 & 0.86655 & 0.266901 & 0.13345 \tabularnewline
71 & 0.902001 & 0.195999 & 0.0979994 \tabularnewline
72 & 0.887648 & 0.224704 & 0.112352 \tabularnewline
73 & 0.89859 & 0.202821 & 0.10141 \tabularnewline
74 & 0.887493 & 0.225014 & 0.112507 \tabularnewline
75 & 0.909577 & 0.180847 & 0.0904234 \tabularnewline
76 & 0.916355 & 0.167291 & 0.0836453 \tabularnewline
77 & 0.91212 & 0.175759 & 0.0878797 \tabularnewline
78 & 0.901309 & 0.197381 & 0.0986905 \tabularnewline
79 & 0.920301 & 0.159398 & 0.0796991 \tabularnewline
80 & 0.921255 & 0.15749 & 0.0787452 \tabularnewline
81 & 0.909636 & 0.180727 & 0.0903636 \tabularnewline
82 & 0.903061 & 0.193879 & 0.0969394 \tabularnewline
83 & 0.910403 & 0.179195 & 0.0895974 \tabularnewline
84 & 0.900963 & 0.198073 & 0.0990366 \tabularnewline
85 & 0.89723 & 0.205539 & 0.10277 \tabularnewline
86 & 0.884332 & 0.231336 & 0.115668 \tabularnewline
87 & 0.882154 & 0.235692 & 0.117846 \tabularnewline
88 & 0.884932 & 0.230137 & 0.115068 \tabularnewline
89 & 0.866973 & 0.266053 & 0.133027 \tabularnewline
90 & 0.856781 & 0.286437 & 0.143219 \tabularnewline
91 & 0.872216 & 0.255568 & 0.127784 \tabularnewline
92 & 0.891987 & 0.216026 & 0.108013 \tabularnewline
93 & 0.890573 & 0.218853 & 0.109427 \tabularnewline
94 & 0.875293 & 0.249414 & 0.124707 \tabularnewline
95 & 0.888904 & 0.222193 & 0.111096 \tabularnewline
96 & 0.871863 & 0.256275 & 0.128137 \tabularnewline
97 & 0.858518 & 0.282965 & 0.141482 \tabularnewline
98 & 0.844225 & 0.311551 & 0.155775 \tabularnewline
99 & 0.831654 & 0.336692 & 0.168346 \tabularnewline
100 & 0.81363 & 0.37274 & 0.18637 \tabularnewline
101 & 0.79201 & 0.415979 & 0.20799 \tabularnewline
102 & 0.780265 & 0.43947 & 0.219735 \tabularnewline
103 & 0.764528 & 0.470944 & 0.235472 \tabularnewline
104 & 0.745553 & 0.508893 & 0.254447 \tabularnewline
105 & 0.775398 & 0.449204 & 0.224602 \tabularnewline
106 & 0.761771 & 0.476458 & 0.238229 \tabularnewline
107 & 0.748654 & 0.502691 & 0.251346 \tabularnewline
108 & 0.725891 & 0.548218 & 0.274109 \tabularnewline
109 & 0.710577 & 0.578845 & 0.289423 \tabularnewline
110 & 0.688231 & 0.623539 & 0.311769 \tabularnewline
111 & 0.672467 & 0.655066 & 0.327533 \tabularnewline
112 & 0.655176 & 0.689648 & 0.344824 \tabularnewline
113 & 0.729231 & 0.541539 & 0.270769 \tabularnewline
114 & 0.711705 & 0.57659 & 0.288295 \tabularnewline
115 & 0.683758 & 0.632484 & 0.316242 \tabularnewline
116 & 0.668081 & 0.663838 & 0.331919 \tabularnewline
117 & 0.737572 & 0.524857 & 0.262428 \tabularnewline
118 & 0.769954 & 0.460092 & 0.230046 \tabularnewline
119 & 0.757307 & 0.485386 & 0.242693 \tabularnewline
120 & 0.75142 & 0.49716 & 0.24858 \tabularnewline
121 & 0.726496 & 0.547007 & 0.273504 \tabularnewline
122 & 0.744223 & 0.511553 & 0.255777 \tabularnewline
123 & 0.81758 & 0.36484 & 0.18242 \tabularnewline
124 & 0.818658 & 0.362684 & 0.181342 \tabularnewline
125 & 0.816249 & 0.367502 & 0.183751 \tabularnewline
126 & 0.8329 & 0.334201 & 0.1671 \tabularnewline
127 & 0.829342 & 0.341317 & 0.170658 \tabularnewline
128 & 0.894296 & 0.211408 & 0.105704 \tabularnewline
129 & 0.882578 & 0.234844 & 0.117422 \tabularnewline
130 & 0.866388 & 0.267224 & 0.133612 \tabularnewline
131 & 0.855331 & 0.289337 & 0.144669 \tabularnewline
132 & 0.83945 & 0.321099 & 0.16055 \tabularnewline
133 & 0.821398 & 0.357203 & 0.178602 \tabularnewline
134 & 0.802599 & 0.394803 & 0.197401 \tabularnewline
135 & 0.779435 & 0.44113 & 0.220565 \tabularnewline
136 & 0.795927 & 0.408146 & 0.204073 \tabularnewline
137 & 0.771689 & 0.456622 & 0.228311 \tabularnewline
138 & 0.748701 & 0.502597 & 0.251299 \tabularnewline
139 & 0.741747 & 0.516506 & 0.258253 \tabularnewline
140 & 0.741623 & 0.516754 & 0.258377 \tabularnewline
141 & 0.715466 & 0.569068 & 0.284534 \tabularnewline
142 & 0.823495 & 0.35301 & 0.176505 \tabularnewline
143 & 0.815417 & 0.369165 & 0.184583 \tabularnewline
144 & 0.792376 & 0.415248 & 0.207624 \tabularnewline
145 & 0.795845 & 0.40831 & 0.204155 \tabularnewline
146 & 0.801667 & 0.396666 & 0.198333 \tabularnewline
147 & 0.797498 & 0.405004 & 0.202502 \tabularnewline
148 & 0.772951 & 0.454099 & 0.227049 \tabularnewline
149 & 0.756273 & 0.487454 & 0.243727 \tabularnewline
150 & 0.745949 & 0.508102 & 0.254051 \tabularnewline
151 & 0.737475 & 0.52505 & 0.262525 \tabularnewline
152 & 0.711736 & 0.576528 & 0.288264 \tabularnewline
153 & 0.696906 & 0.606188 & 0.303094 \tabularnewline
154 & 0.669063 & 0.661873 & 0.330937 \tabularnewline
155 & 0.647312 & 0.705377 & 0.352688 \tabularnewline
156 & 0.692739 & 0.614522 & 0.307261 \tabularnewline
157 & 0.706759 & 0.586482 & 0.293241 \tabularnewline
158 & 0.678277 & 0.643446 & 0.321723 \tabularnewline
159 & 0.676843 & 0.646315 & 0.323157 \tabularnewline
160 & 0.728535 & 0.54293 & 0.271465 \tabularnewline
161 & 0.742341 & 0.515318 & 0.257659 \tabularnewline
162 & 0.72803 & 0.543939 & 0.27197 \tabularnewline
163 & 0.755519 & 0.488962 & 0.244481 \tabularnewline
164 & 0.729158 & 0.541684 & 0.270842 \tabularnewline
165 & 0.703045 & 0.593909 & 0.296955 \tabularnewline
166 & 0.692735 & 0.61453 & 0.307265 \tabularnewline
167 & 0.662851 & 0.674297 & 0.337149 \tabularnewline
168 & 0.645953 & 0.708093 & 0.354047 \tabularnewline
169 & 0.722484 & 0.555032 & 0.277516 \tabularnewline
170 & 0.89781 & 0.20438 & 0.10219 \tabularnewline
171 & 0.897041 & 0.205918 & 0.102959 \tabularnewline
172 & 0.924422 & 0.151155 & 0.0755776 \tabularnewline
173 & 0.91305 & 0.173899 & 0.0869497 \tabularnewline
174 & 0.904621 & 0.190758 & 0.0953791 \tabularnewline
175 & 0.892042 & 0.215915 & 0.107958 \tabularnewline
176 & 0.888156 & 0.223687 & 0.111844 \tabularnewline
177 & 0.875578 & 0.248844 & 0.124422 \tabularnewline
178 & 0.858212 & 0.283575 & 0.141788 \tabularnewline
179 & 0.84636 & 0.30728 & 0.15364 \tabularnewline
180 & 0.862291 & 0.275418 & 0.137709 \tabularnewline
181 & 0.879538 & 0.240925 & 0.120462 \tabularnewline
182 & 0.861738 & 0.276524 & 0.138262 \tabularnewline
183 & 0.842798 & 0.314403 & 0.157202 \tabularnewline
184 & 0.866468 & 0.267064 & 0.133532 \tabularnewline
185 & 0.864358 & 0.271285 & 0.135642 \tabularnewline
186 & 0.8861 & 0.227801 & 0.1139 \tabularnewline
187 & 0.873922 & 0.252156 & 0.126078 \tabularnewline
188 & 0.85826 & 0.28348 & 0.14174 \tabularnewline
189 & 0.859131 & 0.281739 & 0.140869 \tabularnewline
190 & 0.83966 & 0.320679 & 0.16034 \tabularnewline
191 & 0.840424 & 0.319152 & 0.159576 \tabularnewline
192 & 0.819747 & 0.360506 & 0.180253 \tabularnewline
193 & 0.7962 & 0.407601 & 0.2038 \tabularnewline
194 & 0.770242 & 0.459516 & 0.229758 \tabularnewline
195 & 0.742068 & 0.515863 & 0.257932 \tabularnewline
196 & 0.767589 & 0.464822 & 0.232411 \tabularnewline
197 & 0.7779 & 0.4442 & 0.2221 \tabularnewline
198 & 0.751054 & 0.497891 & 0.248946 \tabularnewline
199 & 0.748447 & 0.503106 & 0.251553 \tabularnewline
200 & 0.718572 & 0.562857 & 0.281428 \tabularnewline
201 & 0.69612 & 0.60776 & 0.30388 \tabularnewline
202 & 0.69347 & 0.61306 & 0.30653 \tabularnewline
203 & 0.700453 & 0.599094 & 0.299547 \tabularnewline
204 & 0.67766 & 0.64468 & 0.32234 \tabularnewline
205 & 0.662803 & 0.674394 & 0.337197 \tabularnewline
206 & 0.628346 & 0.743308 & 0.371654 \tabularnewline
207 & 0.850004 & 0.299991 & 0.149996 \tabularnewline
208 & 0.858186 & 0.283628 & 0.141814 \tabularnewline
209 & 0.850403 & 0.299195 & 0.149597 \tabularnewline
210 & 0.828227 & 0.343545 & 0.171773 \tabularnewline
211 & 0.808039 & 0.383922 & 0.191961 \tabularnewline
212 & 0.803517 & 0.392966 & 0.196483 \tabularnewline
213 & 0.863332 & 0.273336 & 0.136668 \tabularnewline
214 & 0.883299 & 0.233402 & 0.116701 \tabularnewline
215 & 0.89296 & 0.214079 & 0.10704 \tabularnewline
216 & 0.88021 & 0.23958 & 0.11979 \tabularnewline
217 & 0.860729 & 0.278543 & 0.139271 \tabularnewline
218 & 0.906427 & 0.187146 & 0.0935728 \tabularnewline
219 & 0.901933 & 0.196134 & 0.0980671 \tabularnewline
220 & 0.88324 & 0.233519 & 0.11676 \tabularnewline
221 & 0.883659 & 0.232683 & 0.116341 \tabularnewline
222 & 0.886594 & 0.226812 & 0.113406 \tabularnewline
223 & 0.866056 & 0.267888 & 0.133944 \tabularnewline
224 & 0.842792 & 0.314416 & 0.157208 \tabularnewline
225 & 0.848737 & 0.302526 & 0.151263 \tabularnewline
226 & 0.893263 & 0.213475 & 0.106737 \tabularnewline
227 & 0.904095 & 0.191809 & 0.0959047 \tabularnewline
228 & 0.885109 & 0.229782 & 0.114891 \tabularnewline
229 & 0.883837 & 0.232326 & 0.116163 \tabularnewline
230 & 0.909138 & 0.181725 & 0.0908624 \tabularnewline
231 & 0.890064 & 0.219872 & 0.109936 \tabularnewline
232 & 0.878159 & 0.243681 & 0.121841 \tabularnewline
233 & 0.919027 & 0.161947 & 0.0809734 \tabularnewline
234 & 0.930534 & 0.138932 & 0.0694662 \tabularnewline
235 & 0.923898 & 0.152204 & 0.0761022 \tabularnewline
236 & 0.912087 & 0.175827 & 0.0879133 \tabularnewline
237 & 0.894393 & 0.211213 & 0.105607 \tabularnewline
238 & 0.902456 & 0.195087 & 0.0975436 \tabularnewline
239 & 0.933416 & 0.133167 & 0.0665837 \tabularnewline
240 & 0.932311 & 0.135379 & 0.0676894 \tabularnewline
241 & 0.919777 & 0.160447 & 0.0802234 \tabularnewline
242 & 0.957017 & 0.0859666 & 0.0429833 \tabularnewline
243 & 0.945107 & 0.109786 & 0.0548932 \tabularnewline
244 & 0.959845 & 0.0803096 & 0.0401548 \tabularnewline
245 & 0.973187 & 0.0536251 & 0.0268125 \tabularnewline
246 & 0.974831 & 0.050338 & 0.025169 \tabularnewline
247 & 0.972835 & 0.0543297 & 0.0271649 \tabularnewline
248 & 0.967158 & 0.0656833 & 0.0328417 \tabularnewline
249 & 0.956015 & 0.0879707 & 0.0439854 \tabularnewline
250 & 0.958913 & 0.0821736 & 0.0410868 \tabularnewline
251 & 0.945107 & 0.109786 & 0.0548928 \tabularnewline
252 & 0.969836 & 0.0603283 & 0.0301642 \tabularnewline
253 & 0.965304 & 0.069393 & 0.0346965 \tabularnewline
254 & 0.954373 & 0.0912547 & 0.0456274 \tabularnewline
255 & 0.939987 & 0.120025 & 0.0600126 \tabularnewline
256 & 0.976144 & 0.0477116 & 0.0238558 \tabularnewline
257 & 0.973529 & 0.0529425 & 0.0264713 \tabularnewline
258 & 0.9679 & 0.0641991 & 0.0320996 \tabularnewline
259 & 0.964604 & 0.0707924 & 0.0353962 \tabularnewline
260 & 0.97359 & 0.0528195 & 0.0264097 \tabularnewline
261 & 0.963221 & 0.0735583 & 0.0367792 \tabularnewline
262 & 0.947211 & 0.105579 & 0.0527894 \tabularnewline
263 & 0.926711 & 0.146578 & 0.0732892 \tabularnewline
264 & 0.992298 & 0.0154033 & 0.00770164 \tabularnewline
265 & 0.988201 & 0.0235972 & 0.0117986 \tabularnewline
266 & 0.985316 & 0.0293686 & 0.0146843 \tabularnewline
267 & 0.976713 & 0.0465741 & 0.023287 \tabularnewline
268 & 0.965892 & 0.0682164 & 0.0341082 \tabularnewline
269 & 0.959825 & 0.0803494 & 0.0401747 \tabularnewline
270 & 0.974921 & 0.0501572 & 0.0250786 \tabularnewline
271 & 0.957992 & 0.0840156 & 0.0420078 \tabularnewline
272 & 0.9317 & 0.1366 & 0.0682998 \tabularnewline
273 & 0.891491 & 0.217018 & 0.108509 \tabularnewline
274 & 0.838459 & 0.323081 & 0.161541 \tabularnewline
275 & 0.794341 & 0.411317 & 0.205659 \tabularnewline
276 & 0.711941 & 0.576117 & 0.288059 \tabularnewline
277 & 0.619633 & 0.760734 & 0.380367 \tabularnewline
278 & 0.492659 & 0.985319 & 0.507341 \tabularnewline
279 & 0.601361 & 0.797277 & 0.398639 \tabularnewline
280 & 0.438349 & 0.876698 & 0.561651 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266314&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]7[/C][C]0.630845[/C][C]0.73831[/C][C]0.369155[/C][/ROW]
[ROW][C]8[/C][C]0.49313[/C][C]0.986259[/C][C]0.50687[/C][/ROW]
[ROW][C]9[/C][C]0.457629[/C][C]0.915258[/C][C]0.542371[/C][/ROW]
[ROW][C]10[/C][C]0.331531[/C][C]0.663062[/C][C]0.668469[/C][/ROW]
[ROW][C]11[/C][C]0.283073[/C][C]0.566145[/C][C]0.716927[/C][/ROW]
[ROW][C]12[/C][C]0.195871[/C][C]0.391741[/C][C]0.804129[/C][/ROW]
[ROW][C]13[/C][C]0.130882[/C][C]0.261764[/C][C]0.869118[/C][/ROW]
[ROW][C]14[/C][C]0.161831[/C][C]0.323661[/C][C]0.838169[/C][/ROW]
[ROW][C]15[/C][C]0.137486[/C][C]0.274971[/C][C]0.862514[/C][/ROW]
[ROW][C]16[/C][C]0.5596[/C][C]0.880799[/C][C]0.4404[/C][/ROW]
[ROW][C]17[/C][C]0.645842[/C][C]0.708317[/C][C]0.354158[/C][/ROW]
[ROW][C]18[/C][C]0.588842[/C][C]0.822317[/C][C]0.411158[/C][/ROW]
[ROW][C]19[/C][C]0.527507[/C][C]0.944987[/C][C]0.472493[/C][/ROW]
[ROW][C]20[/C][C]0.453851[/C][C]0.907701[/C][C]0.546149[/C][/ROW]
[ROW][C]21[/C][C]0.389706[/C][C]0.779412[/C][C]0.610294[/C][/ROW]
[ROW][C]22[/C][C]0.347387[/C][C]0.694774[/C][C]0.652613[/C][/ROW]
[ROW][C]23[/C][C]0.292173[/C][C]0.584345[/C][C]0.707827[/C][/ROW]
[ROW][C]24[/C][C]0.500008[/C][C]0.999983[/C][C]0.499992[/C][/ROW]
[ROW][C]25[/C][C]0.514226[/C][C]0.971547[/C][C]0.485774[/C][/ROW]
[ROW][C]26[/C][C]0.454041[/C][C]0.908082[/C][C]0.545959[/C][/ROW]
[ROW][C]27[/C][C]0.753599[/C][C]0.492803[/C][C]0.246401[/C][/ROW]
[ROW][C]28[/C][C]0.714623[/C][C]0.570754[/C][C]0.285377[/C][/ROW]
[ROW][C]29[/C][C]0.755542[/C][C]0.488916[/C][C]0.244458[/C][/ROW]
[ROW][C]30[/C][C]0.71284[/C][C]0.574319[/C][C]0.28716[/C][/ROW]
[ROW][C]31[/C][C]0.670328[/C][C]0.659343[/C][C]0.329672[/C][/ROW]
[ROW][C]32[/C][C]0.670297[/C][C]0.659406[/C][C]0.329703[/C][/ROW]
[ROW][C]33[/C][C]0.628907[/C][C]0.742186[/C][C]0.371093[/C][/ROW]
[ROW][C]34[/C][C]0.6061[/C][C]0.7878[/C][C]0.3939[/C][/ROW]
[ROW][C]35[/C][C]0.566473[/C][C]0.867055[/C][C]0.433527[/C][/ROW]
[ROW][C]36[/C][C]0.53048[/C][C]0.93904[/C][C]0.46952[/C][/ROW]
[ROW][C]37[/C][C]0.521086[/C][C]0.957828[/C][C]0.478914[/C][/ROW]
[ROW][C]38[/C][C]0.533329[/C][C]0.933342[/C][C]0.466671[/C][/ROW]
[ROW][C]39[/C][C]0.488946[/C][C]0.977893[/C][C]0.511054[/C][/ROW]
[ROW][C]40[/C][C]0.44727[/C][C]0.894539[/C][C]0.55273[/C][/ROW]
[ROW][C]41[/C][C]0.41909[/C][C]0.838179[/C][C]0.58091[/C][/ROW]
[ROW][C]42[/C][C]0.386188[/C][C]0.772377[/C][C]0.613812[/C][/ROW]
[ROW][C]43[/C][C]0.368251[/C][C]0.736502[/C][C]0.631749[/C][/ROW]
[ROW][C]44[/C][C]0.327312[/C][C]0.654623[/C][C]0.672688[/C][/ROW]
[ROW][C]45[/C][C]0.30112[/C][C]0.602241[/C][C]0.69888[/C][/ROW]
[ROW][C]46[/C][C]0.278341[/C][C]0.556682[/C][C]0.721659[/C][/ROW]
[ROW][C]47[/C][C]0.432701[/C][C]0.865403[/C][C]0.567299[/C][/ROW]
[ROW][C]48[/C][C]0.443733[/C][C]0.887467[/C][C]0.556267[/C][/ROW]
[ROW][C]49[/C][C]0.415529[/C][C]0.831058[/C][C]0.584471[/C][/ROW]
[ROW][C]50[/C][C]0.47228[/C][C]0.944561[/C][C]0.52772[/C][/ROW]
[ROW][C]51[/C][C]0.484799[/C][C]0.969597[/C][C]0.515201[/C][/ROW]
[ROW][C]52[/C][C]0.490163[/C][C]0.980326[/C][C]0.509837[/C][/ROW]
[ROW][C]53[/C][C]0.453566[/C][C]0.907132[/C][C]0.546434[/C][/ROW]
[ROW][C]54[/C][C]0.67709[/C][C]0.645821[/C][C]0.32291[/C][/ROW]
[ROW][C]55[/C][C]0.648453[/C][C]0.703093[/C][C]0.351547[/C][/ROW]
[ROW][C]56[/C][C]0.618841[/C][C]0.762318[/C][C]0.381159[/C][/ROW]
[ROW][C]57[/C][C]0.586683[/C][C]0.826635[/C][C]0.413317[/C][/ROW]
[ROW][C]58[/C][C]0.556608[/C][C]0.886784[/C][C]0.443392[/C][/ROW]
[ROW][C]59[/C][C]0.51672[/C][C]0.96656[/C][C]0.48328[/C][/ROW]
[ROW][C]60[/C][C]0.479289[/C][C]0.958577[/C][C]0.520711[/C][/ROW]
[ROW][C]61[/C][C]0.626693[/C][C]0.746614[/C][C]0.373307[/C][/ROW]
[ROW][C]62[/C][C]0.607934[/C][C]0.784131[/C][C]0.392066[/C][/ROW]
[ROW][C]63[/C][C]0.599558[/C][C]0.800883[/C][C]0.400442[/C][/ROW]
[ROW][C]64[/C][C]0.587321[/C][C]0.825358[/C][C]0.412679[/C][/ROW]
[ROW][C]65[/C][C]0.564046[/C][C]0.871908[/C][C]0.435954[/C][/ROW]
[ROW][C]66[/C][C]0.68423[/C][C]0.63154[/C][C]0.31577[/C][/ROW]
[ROW][C]67[/C][C]0.715821[/C][C]0.568357[/C][C]0.284179[/C][/ROW]
[ROW][C]68[/C][C]0.762704[/C][C]0.474592[/C][C]0.237296[/C][/ROW]
[ROW][C]69[/C][C]0.774879[/C][C]0.450242[/C][C]0.225121[/C][/ROW]
[ROW][C]70[/C][C]0.86655[/C][C]0.266901[/C][C]0.13345[/C][/ROW]
[ROW][C]71[/C][C]0.902001[/C][C]0.195999[/C][C]0.0979994[/C][/ROW]
[ROW][C]72[/C][C]0.887648[/C][C]0.224704[/C][C]0.112352[/C][/ROW]
[ROW][C]73[/C][C]0.89859[/C][C]0.202821[/C][C]0.10141[/C][/ROW]
[ROW][C]74[/C][C]0.887493[/C][C]0.225014[/C][C]0.112507[/C][/ROW]
[ROW][C]75[/C][C]0.909577[/C][C]0.180847[/C][C]0.0904234[/C][/ROW]
[ROW][C]76[/C][C]0.916355[/C][C]0.167291[/C][C]0.0836453[/C][/ROW]
[ROW][C]77[/C][C]0.91212[/C][C]0.175759[/C][C]0.0878797[/C][/ROW]
[ROW][C]78[/C][C]0.901309[/C][C]0.197381[/C][C]0.0986905[/C][/ROW]
[ROW][C]79[/C][C]0.920301[/C][C]0.159398[/C][C]0.0796991[/C][/ROW]
[ROW][C]80[/C][C]0.921255[/C][C]0.15749[/C][C]0.0787452[/C][/ROW]
[ROW][C]81[/C][C]0.909636[/C][C]0.180727[/C][C]0.0903636[/C][/ROW]
[ROW][C]82[/C][C]0.903061[/C][C]0.193879[/C][C]0.0969394[/C][/ROW]
[ROW][C]83[/C][C]0.910403[/C][C]0.179195[/C][C]0.0895974[/C][/ROW]
[ROW][C]84[/C][C]0.900963[/C][C]0.198073[/C][C]0.0990366[/C][/ROW]
[ROW][C]85[/C][C]0.89723[/C][C]0.205539[/C][C]0.10277[/C][/ROW]
[ROW][C]86[/C][C]0.884332[/C][C]0.231336[/C][C]0.115668[/C][/ROW]
[ROW][C]87[/C][C]0.882154[/C][C]0.235692[/C][C]0.117846[/C][/ROW]
[ROW][C]88[/C][C]0.884932[/C][C]0.230137[/C][C]0.115068[/C][/ROW]
[ROW][C]89[/C][C]0.866973[/C][C]0.266053[/C][C]0.133027[/C][/ROW]
[ROW][C]90[/C][C]0.856781[/C][C]0.286437[/C][C]0.143219[/C][/ROW]
[ROW][C]91[/C][C]0.872216[/C][C]0.255568[/C][C]0.127784[/C][/ROW]
[ROW][C]92[/C][C]0.891987[/C][C]0.216026[/C][C]0.108013[/C][/ROW]
[ROW][C]93[/C][C]0.890573[/C][C]0.218853[/C][C]0.109427[/C][/ROW]
[ROW][C]94[/C][C]0.875293[/C][C]0.249414[/C][C]0.124707[/C][/ROW]
[ROW][C]95[/C][C]0.888904[/C][C]0.222193[/C][C]0.111096[/C][/ROW]
[ROW][C]96[/C][C]0.871863[/C][C]0.256275[/C][C]0.128137[/C][/ROW]
[ROW][C]97[/C][C]0.858518[/C][C]0.282965[/C][C]0.141482[/C][/ROW]
[ROW][C]98[/C][C]0.844225[/C][C]0.311551[/C][C]0.155775[/C][/ROW]
[ROW][C]99[/C][C]0.831654[/C][C]0.336692[/C][C]0.168346[/C][/ROW]
[ROW][C]100[/C][C]0.81363[/C][C]0.37274[/C][C]0.18637[/C][/ROW]
[ROW][C]101[/C][C]0.79201[/C][C]0.415979[/C][C]0.20799[/C][/ROW]
[ROW][C]102[/C][C]0.780265[/C][C]0.43947[/C][C]0.219735[/C][/ROW]
[ROW][C]103[/C][C]0.764528[/C][C]0.470944[/C][C]0.235472[/C][/ROW]
[ROW][C]104[/C][C]0.745553[/C][C]0.508893[/C][C]0.254447[/C][/ROW]
[ROW][C]105[/C][C]0.775398[/C][C]0.449204[/C][C]0.224602[/C][/ROW]
[ROW][C]106[/C][C]0.761771[/C][C]0.476458[/C][C]0.238229[/C][/ROW]
[ROW][C]107[/C][C]0.748654[/C][C]0.502691[/C][C]0.251346[/C][/ROW]
[ROW][C]108[/C][C]0.725891[/C][C]0.548218[/C][C]0.274109[/C][/ROW]
[ROW][C]109[/C][C]0.710577[/C][C]0.578845[/C][C]0.289423[/C][/ROW]
[ROW][C]110[/C][C]0.688231[/C][C]0.623539[/C][C]0.311769[/C][/ROW]
[ROW][C]111[/C][C]0.672467[/C][C]0.655066[/C][C]0.327533[/C][/ROW]
[ROW][C]112[/C][C]0.655176[/C][C]0.689648[/C][C]0.344824[/C][/ROW]
[ROW][C]113[/C][C]0.729231[/C][C]0.541539[/C][C]0.270769[/C][/ROW]
[ROW][C]114[/C][C]0.711705[/C][C]0.57659[/C][C]0.288295[/C][/ROW]
[ROW][C]115[/C][C]0.683758[/C][C]0.632484[/C][C]0.316242[/C][/ROW]
[ROW][C]116[/C][C]0.668081[/C][C]0.663838[/C][C]0.331919[/C][/ROW]
[ROW][C]117[/C][C]0.737572[/C][C]0.524857[/C][C]0.262428[/C][/ROW]
[ROW][C]118[/C][C]0.769954[/C][C]0.460092[/C][C]0.230046[/C][/ROW]
[ROW][C]119[/C][C]0.757307[/C][C]0.485386[/C][C]0.242693[/C][/ROW]
[ROW][C]120[/C][C]0.75142[/C][C]0.49716[/C][C]0.24858[/C][/ROW]
[ROW][C]121[/C][C]0.726496[/C][C]0.547007[/C][C]0.273504[/C][/ROW]
[ROW][C]122[/C][C]0.744223[/C][C]0.511553[/C][C]0.255777[/C][/ROW]
[ROW][C]123[/C][C]0.81758[/C][C]0.36484[/C][C]0.18242[/C][/ROW]
[ROW][C]124[/C][C]0.818658[/C][C]0.362684[/C][C]0.181342[/C][/ROW]
[ROW][C]125[/C][C]0.816249[/C][C]0.367502[/C][C]0.183751[/C][/ROW]
[ROW][C]126[/C][C]0.8329[/C][C]0.334201[/C][C]0.1671[/C][/ROW]
[ROW][C]127[/C][C]0.829342[/C][C]0.341317[/C][C]0.170658[/C][/ROW]
[ROW][C]128[/C][C]0.894296[/C][C]0.211408[/C][C]0.105704[/C][/ROW]
[ROW][C]129[/C][C]0.882578[/C][C]0.234844[/C][C]0.117422[/C][/ROW]
[ROW][C]130[/C][C]0.866388[/C][C]0.267224[/C][C]0.133612[/C][/ROW]
[ROW][C]131[/C][C]0.855331[/C][C]0.289337[/C][C]0.144669[/C][/ROW]
[ROW][C]132[/C][C]0.83945[/C][C]0.321099[/C][C]0.16055[/C][/ROW]
[ROW][C]133[/C][C]0.821398[/C][C]0.357203[/C][C]0.178602[/C][/ROW]
[ROW][C]134[/C][C]0.802599[/C][C]0.394803[/C][C]0.197401[/C][/ROW]
[ROW][C]135[/C][C]0.779435[/C][C]0.44113[/C][C]0.220565[/C][/ROW]
[ROW][C]136[/C][C]0.795927[/C][C]0.408146[/C][C]0.204073[/C][/ROW]
[ROW][C]137[/C][C]0.771689[/C][C]0.456622[/C][C]0.228311[/C][/ROW]
[ROW][C]138[/C][C]0.748701[/C][C]0.502597[/C][C]0.251299[/C][/ROW]
[ROW][C]139[/C][C]0.741747[/C][C]0.516506[/C][C]0.258253[/C][/ROW]
[ROW][C]140[/C][C]0.741623[/C][C]0.516754[/C][C]0.258377[/C][/ROW]
[ROW][C]141[/C][C]0.715466[/C][C]0.569068[/C][C]0.284534[/C][/ROW]
[ROW][C]142[/C][C]0.823495[/C][C]0.35301[/C][C]0.176505[/C][/ROW]
[ROW][C]143[/C][C]0.815417[/C][C]0.369165[/C][C]0.184583[/C][/ROW]
[ROW][C]144[/C][C]0.792376[/C][C]0.415248[/C][C]0.207624[/C][/ROW]
[ROW][C]145[/C][C]0.795845[/C][C]0.40831[/C][C]0.204155[/C][/ROW]
[ROW][C]146[/C][C]0.801667[/C][C]0.396666[/C][C]0.198333[/C][/ROW]
[ROW][C]147[/C][C]0.797498[/C][C]0.405004[/C][C]0.202502[/C][/ROW]
[ROW][C]148[/C][C]0.772951[/C][C]0.454099[/C][C]0.227049[/C][/ROW]
[ROW][C]149[/C][C]0.756273[/C][C]0.487454[/C][C]0.243727[/C][/ROW]
[ROW][C]150[/C][C]0.745949[/C][C]0.508102[/C][C]0.254051[/C][/ROW]
[ROW][C]151[/C][C]0.737475[/C][C]0.52505[/C][C]0.262525[/C][/ROW]
[ROW][C]152[/C][C]0.711736[/C][C]0.576528[/C][C]0.288264[/C][/ROW]
[ROW][C]153[/C][C]0.696906[/C][C]0.606188[/C][C]0.303094[/C][/ROW]
[ROW][C]154[/C][C]0.669063[/C][C]0.661873[/C][C]0.330937[/C][/ROW]
[ROW][C]155[/C][C]0.647312[/C][C]0.705377[/C][C]0.352688[/C][/ROW]
[ROW][C]156[/C][C]0.692739[/C][C]0.614522[/C][C]0.307261[/C][/ROW]
[ROW][C]157[/C][C]0.706759[/C][C]0.586482[/C][C]0.293241[/C][/ROW]
[ROW][C]158[/C][C]0.678277[/C][C]0.643446[/C][C]0.321723[/C][/ROW]
[ROW][C]159[/C][C]0.676843[/C][C]0.646315[/C][C]0.323157[/C][/ROW]
[ROW][C]160[/C][C]0.728535[/C][C]0.54293[/C][C]0.271465[/C][/ROW]
[ROW][C]161[/C][C]0.742341[/C][C]0.515318[/C][C]0.257659[/C][/ROW]
[ROW][C]162[/C][C]0.72803[/C][C]0.543939[/C][C]0.27197[/C][/ROW]
[ROW][C]163[/C][C]0.755519[/C][C]0.488962[/C][C]0.244481[/C][/ROW]
[ROW][C]164[/C][C]0.729158[/C][C]0.541684[/C][C]0.270842[/C][/ROW]
[ROW][C]165[/C][C]0.703045[/C][C]0.593909[/C][C]0.296955[/C][/ROW]
[ROW][C]166[/C][C]0.692735[/C][C]0.61453[/C][C]0.307265[/C][/ROW]
[ROW][C]167[/C][C]0.662851[/C][C]0.674297[/C][C]0.337149[/C][/ROW]
[ROW][C]168[/C][C]0.645953[/C][C]0.708093[/C][C]0.354047[/C][/ROW]
[ROW][C]169[/C][C]0.722484[/C][C]0.555032[/C][C]0.277516[/C][/ROW]
[ROW][C]170[/C][C]0.89781[/C][C]0.20438[/C][C]0.10219[/C][/ROW]
[ROW][C]171[/C][C]0.897041[/C][C]0.205918[/C][C]0.102959[/C][/ROW]
[ROW][C]172[/C][C]0.924422[/C][C]0.151155[/C][C]0.0755776[/C][/ROW]
[ROW][C]173[/C][C]0.91305[/C][C]0.173899[/C][C]0.0869497[/C][/ROW]
[ROW][C]174[/C][C]0.904621[/C][C]0.190758[/C][C]0.0953791[/C][/ROW]
[ROW][C]175[/C][C]0.892042[/C][C]0.215915[/C][C]0.107958[/C][/ROW]
[ROW][C]176[/C][C]0.888156[/C][C]0.223687[/C][C]0.111844[/C][/ROW]
[ROW][C]177[/C][C]0.875578[/C][C]0.248844[/C][C]0.124422[/C][/ROW]
[ROW][C]178[/C][C]0.858212[/C][C]0.283575[/C][C]0.141788[/C][/ROW]
[ROW][C]179[/C][C]0.84636[/C][C]0.30728[/C][C]0.15364[/C][/ROW]
[ROW][C]180[/C][C]0.862291[/C][C]0.275418[/C][C]0.137709[/C][/ROW]
[ROW][C]181[/C][C]0.879538[/C][C]0.240925[/C][C]0.120462[/C][/ROW]
[ROW][C]182[/C][C]0.861738[/C][C]0.276524[/C][C]0.138262[/C][/ROW]
[ROW][C]183[/C][C]0.842798[/C][C]0.314403[/C][C]0.157202[/C][/ROW]
[ROW][C]184[/C][C]0.866468[/C][C]0.267064[/C][C]0.133532[/C][/ROW]
[ROW][C]185[/C][C]0.864358[/C][C]0.271285[/C][C]0.135642[/C][/ROW]
[ROW][C]186[/C][C]0.8861[/C][C]0.227801[/C][C]0.1139[/C][/ROW]
[ROW][C]187[/C][C]0.873922[/C][C]0.252156[/C][C]0.126078[/C][/ROW]
[ROW][C]188[/C][C]0.85826[/C][C]0.28348[/C][C]0.14174[/C][/ROW]
[ROW][C]189[/C][C]0.859131[/C][C]0.281739[/C][C]0.140869[/C][/ROW]
[ROW][C]190[/C][C]0.83966[/C][C]0.320679[/C][C]0.16034[/C][/ROW]
[ROW][C]191[/C][C]0.840424[/C][C]0.319152[/C][C]0.159576[/C][/ROW]
[ROW][C]192[/C][C]0.819747[/C][C]0.360506[/C][C]0.180253[/C][/ROW]
[ROW][C]193[/C][C]0.7962[/C][C]0.407601[/C][C]0.2038[/C][/ROW]
[ROW][C]194[/C][C]0.770242[/C][C]0.459516[/C][C]0.229758[/C][/ROW]
[ROW][C]195[/C][C]0.742068[/C][C]0.515863[/C][C]0.257932[/C][/ROW]
[ROW][C]196[/C][C]0.767589[/C][C]0.464822[/C][C]0.232411[/C][/ROW]
[ROW][C]197[/C][C]0.7779[/C][C]0.4442[/C][C]0.2221[/C][/ROW]
[ROW][C]198[/C][C]0.751054[/C][C]0.497891[/C][C]0.248946[/C][/ROW]
[ROW][C]199[/C][C]0.748447[/C][C]0.503106[/C][C]0.251553[/C][/ROW]
[ROW][C]200[/C][C]0.718572[/C][C]0.562857[/C][C]0.281428[/C][/ROW]
[ROW][C]201[/C][C]0.69612[/C][C]0.60776[/C][C]0.30388[/C][/ROW]
[ROW][C]202[/C][C]0.69347[/C][C]0.61306[/C][C]0.30653[/C][/ROW]
[ROW][C]203[/C][C]0.700453[/C][C]0.599094[/C][C]0.299547[/C][/ROW]
[ROW][C]204[/C][C]0.67766[/C][C]0.64468[/C][C]0.32234[/C][/ROW]
[ROW][C]205[/C][C]0.662803[/C][C]0.674394[/C][C]0.337197[/C][/ROW]
[ROW][C]206[/C][C]0.628346[/C][C]0.743308[/C][C]0.371654[/C][/ROW]
[ROW][C]207[/C][C]0.850004[/C][C]0.299991[/C][C]0.149996[/C][/ROW]
[ROW][C]208[/C][C]0.858186[/C][C]0.283628[/C][C]0.141814[/C][/ROW]
[ROW][C]209[/C][C]0.850403[/C][C]0.299195[/C][C]0.149597[/C][/ROW]
[ROW][C]210[/C][C]0.828227[/C][C]0.343545[/C][C]0.171773[/C][/ROW]
[ROW][C]211[/C][C]0.808039[/C][C]0.383922[/C][C]0.191961[/C][/ROW]
[ROW][C]212[/C][C]0.803517[/C][C]0.392966[/C][C]0.196483[/C][/ROW]
[ROW][C]213[/C][C]0.863332[/C][C]0.273336[/C][C]0.136668[/C][/ROW]
[ROW][C]214[/C][C]0.883299[/C][C]0.233402[/C][C]0.116701[/C][/ROW]
[ROW][C]215[/C][C]0.89296[/C][C]0.214079[/C][C]0.10704[/C][/ROW]
[ROW][C]216[/C][C]0.88021[/C][C]0.23958[/C][C]0.11979[/C][/ROW]
[ROW][C]217[/C][C]0.860729[/C][C]0.278543[/C][C]0.139271[/C][/ROW]
[ROW][C]218[/C][C]0.906427[/C][C]0.187146[/C][C]0.0935728[/C][/ROW]
[ROW][C]219[/C][C]0.901933[/C][C]0.196134[/C][C]0.0980671[/C][/ROW]
[ROW][C]220[/C][C]0.88324[/C][C]0.233519[/C][C]0.11676[/C][/ROW]
[ROW][C]221[/C][C]0.883659[/C][C]0.232683[/C][C]0.116341[/C][/ROW]
[ROW][C]222[/C][C]0.886594[/C][C]0.226812[/C][C]0.113406[/C][/ROW]
[ROW][C]223[/C][C]0.866056[/C][C]0.267888[/C][C]0.133944[/C][/ROW]
[ROW][C]224[/C][C]0.842792[/C][C]0.314416[/C][C]0.157208[/C][/ROW]
[ROW][C]225[/C][C]0.848737[/C][C]0.302526[/C][C]0.151263[/C][/ROW]
[ROW][C]226[/C][C]0.893263[/C][C]0.213475[/C][C]0.106737[/C][/ROW]
[ROW][C]227[/C][C]0.904095[/C][C]0.191809[/C][C]0.0959047[/C][/ROW]
[ROW][C]228[/C][C]0.885109[/C][C]0.229782[/C][C]0.114891[/C][/ROW]
[ROW][C]229[/C][C]0.883837[/C][C]0.232326[/C][C]0.116163[/C][/ROW]
[ROW][C]230[/C][C]0.909138[/C][C]0.181725[/C][C]0.0908624[/C][/ROW]
[ROW][C]231[/C][C]0.890064[/C][C]0.219872[/C][C]0.109936[/C][/ROW]
[ROW][C]232[/C][C]0.878159[/C][C]0.243681[/C][C]0.121841[/C][/ROW]
[ROW][C]233[/C][C]0.919027[/C][C]0.161947[/C][C]0.0809734[/C][/ROW]
[ROW][C]234[/C][C]0.930534[/C][C]0.138932[/C][C]0.0694662[/C][/ROW]
[ROW][C]235[/C][C]0.923898[/C][C]0.152204[/C][C]0.0761022[/C][/ROW]
[ROW][C]236[/C][C]0.912087[/C][C]0.175827[/C][C]0.0879133[/C][/ROW]
[ROW][C]237[/C][C]0.894393[/C][C]0.211213[/C][C]0.105607[/C][/ROW]
[ROW][C]238[/C][C]0.902456[/C][C]0.195087[/C][C]0.0975436[/C][/ROW]
[ROW][C]239[/C][C]0.933416[/C][C]0.133167[/C][C]0.0665837[/C][/ROW]
[ROW][C]240[/C][C]0.932311[/C][C]0.135379[/C][C]0.0676894[/C][/ROW]
[ROW][C]241[/C][C]0.919777[/C][C]0.160447[/C][C]0.0802234[/C][/ROW]
[ROW][C]242[/C][C]0.957017[/C][C]0.0859666[/C][C]0.0429833[/C][/ROW]
[ROW][C]243[/C][C]0.945107[/C][C]0.109786[/C][C]0.0548932[/C][/ROW]
[ROW][C]244[/C][C]0.959845[/C][C]0.0803096[/C][C]0.0401548[/C][/ROW]
[ROW][C]245[/C][C]0.973187[/C][C]0.0536251[/C][C]0.0268125[/C][/ROW]
[ROW][C]246[/C][C]0.974831[/C][C]0.050338[/C][C]0.025169[/C][/ROW]
[ROW][C]247[/C][C]0.972835[/C][C]0.0543297[/C][C]0.0271649[/C][/ROW]
[ROW][C]248[/C][C]0.967158[/C][C]0.0656833[/C][C]0.0328417[/C][/ROW]
[ROW][C]249[/C][C]0.956015[/C][C]0.0879707[/C][C]0.0439854[/C][/ROW]
[ROW][C]250[/C][C]0.958913[/C][C]0.0821736[/C][C]0.0410868[/C][/ROW]
[ROW][C]251[/C][C]0.945107[/C][C]0.109786[/C][C]0.0548928[/C][/ROW]
[ROW][C]252[/C][C]0.969836[/C][C]0.0603283[/C][C]0.0301642[/C][/ROW]
[ROW][C]253[/C][C]0.965304[/C][C]0.069393[/C][C]0.0346965[/C][/ROW]
[ROW][C]254[/C][C]0.954373[/C][C]0.0912547[/C][C]0.0456274[/C][/ROW]
[ROW][C]255[/C][C]0.939987[/C][C]0.120025[/C][C]0.0600126[/C][/ROW]
[ROW][C]256[/C][C]0.976144[/C][C]0.0477116[/C][C]0.0238558[/C][/ROW]
[ROW][C]257[/C][C]0.973529[/C][C]0.0529425[/C][C]0.0264713[/C][/ROW]
[ROW][C]258[/C][C]0.9679[/C][C]0.0641991[/C][C]0.0320996[/C][/ROW]
[ROW][C]259[/C][C]0.964604[/C][C]0.0707924[/C][C]0.0353962[/C][/ROW]
[ROW][C]260[/C][C]0.97359[/C][C]0.0528195[/C][C]0.0264097[/C][/ROW]
[ROW][C]261[/C][C]0.963221[/C][C]0.0735583[/C][C]0.0367792[/C][/ROW]
[ROW][C]262[/C][C]0.947211[/C][C]0.105579[/C][C]0.0527894[/C][/ROW]
[ROW][C]263[/C][C]0.926711[/C][C]0.146578[/C][C]0.0732892[/C][/ROW]
[ROW][C]264[/C][C]0.992298[/C][C]0.0154033[/C][C]0.00770164[/C][/ROW]
[ROW][C]265[/C][C]0.988201[/C][C]0.0235972[/C][C]0.0117986[/C][/ROW]
[ROW][C]266[/C][C]0.985316[/C][C]0.0293686[/C][C]0.0146843[/C][/ROW]
[ROW][C]267[/C][C]0.976713[/C][C]0.0465741[/C][C]0.023287[/C][/ROW]
[ROW][C]268[/C][C]0.965892[/C][C]0.0682164[/C][C]0.0341082[/C][/ROW]
[ROW][C]269[/C][C]0.959825[/C][C]0.0803494[/C][C]0.0401747[/C][/ROW]
[ROW][C]270[/C][C]0.974921[/C][C]0.0501572[/C][C]0.0250786[/C][/ROW]
[ROW][C]271[/C][C]0.957992[/C][C]0.0840156[/C][C]0.0420078[/C][/ROW]
[ROW][C]272[/C][C]0.9317[/C][C]0.1366[/C][C]0.0682998[/C][/ROW]
[ROW][C]273[/C][C]0.891491[/C][C]0.217018[/C][C]0.108509[/C][/ROW]
[ROW][C]274[/C][C]0.838459[/C][C]0.323081[/C][C]0.161541[/C][/ROW]
[ROW][C]275[/C][C]0.794341[/C][C]0.411317[/C][C]0.205659[/C][/ROW]
[ROW][C]276[/C][C]0.711941[/C][C]0.576117[/C][C]0.288059[/C][/ROW]
[ROW][C]277[/C][C]0.619633[/C][C]0.760734[/C][C]0.380367[/C][/ROW]
[ROW][C]278[/C][C]0.492659[/C][C]0.985319[/C][C]0.507341[/C][/ROW]
[ROW][C]279[/C][C]0.601361[/C][C]0.797277[/C][C]0.398639[/C][/ROW]
[ROW][C]280[/C][C]0.438349[/C][C]0.876698[/C][C]0.561651[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266314&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266314&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
70.6308450.738310.369155
80.493130.9862590.50687
90.4576290.9152580.542371
100.3315310.6630620.668469
110.2830730.5661450.716927
120.1958710.3917410.804129
130.1308820.2617640.869118
140.1618310.3236610.838169
150.1374860.2749710.862514
160.55960.8807990.4404
170.6458420.7083170.354158
180.5888420.8223170.411158
190.5275070.9449870.472493
200.4538510.9077010.546149
210.3897060.7794120.610294
220.3473870.6947740.652613
230.2921730.5843450.707827
240.5000080.9999830.499992
250.5142260.9715470.485774
260.4540410.9080820.545959
270.7535990.4928030.246401
280.7146230.5707540.285377
290.7555420.4889160.244458
300.712840.5743190.28716
310.6703280.6593430.329672
320.6702970.6594060.329703
330.6289070.7421860.371093
340.60610.78780.3939
350.5664730.8670550.433527
360.530480.939040.46952
370.5210860.9578280.478914
380.5333290.9333420.466671
390.4889460.9778930.511054
400.447270.8945390.55273
410.419090.8381790.58091
420.3861880.7723770.613812
430.3682510.7365020.631749
440.3273120.6546230.672688
450.301120.6022410.69888
460.2783410.5566820.721659
470.4327010.8654030.567299
480.4437330.8874670.556267
490.4155290.8310580.584471
500.472280.9445610.52772
510.4847990.9695970.515201
520.4901630.9803260.509837
530.4535660.9071320.546434
540.677090.6458210.32291
550.6484530.7030930.351547
560.6188410.7623180.381159
570.5866830.8266350.413317
580.5566080.8867840.443392
590.516720.966560.48328
600.4792890.9585770.520711
610.6266930.7466140.373307
620.6079340.7841310.392066
630.5995580.8008830.400442
640.5873210.8253580.412679
650.5640460.8719080.435954
660.684230.631540.31577
670.7158210.5683570.284179
680.7627040.4745920.237296
690.7748790.4502420.225121
700.866550.2669010.13345
710.9020010.1959990.0979994
720.8876480.2247040.112352
730.898590.2028210.10141
740.8874930.2250140.112507
750.9095770.1808470.0904234
760.9163550.1672910.0836453
770.912120.1757590.0878797
780.9013090.1973810.0986905
790.9203010.1593980.0796991
800.9212550.157490.0787452
810.9096360.1807270.0903636
820.9030610.1938790.0969394
830.9104030.1791950.0895974
840.9009630.1980730.0990366
850.897230.2055390.10277
860.8843320.2313360.115668
870.8821540.2356920.117846
880.8849320.2301370.115068
890.8669730.2660530.133027
900.8567810.2864370.143219
910.8722160.2555680.127784
920.8919870.2160260.108013
930.8905730.2188530.109427
940.8752930.2494140.124707
950.8889040.2221930.111096
960.8718630.2562750.128137
970.8585180.2829650.141482
980.8442250.3115510.155775
990.8316540.3366920.168346
1000.813630.372740.18637
1010.792010.4159790.20799
1020.7802650.439470.219735
1030.7645280.4709440.235472
1040.7455530.5088930.254447
1050.7753980.4492040.224602
1060.7617710.4764580.238229
1070.7486540.5026910.251346
1080.7258910.5482180.274109
1090.7105770.5788450.289423
1100.6882310.6235390.311769
1110.6724670.6550660.327533
1120.6551760.6896480.344824
1130.7292310.5415390.270769
1140.7117050.576590.288295
1150.6837580.6324840.316242
1160.6680810.6638380.331919
1170.7375720.5248570.262428
1180.7699540.4600920.230046
1190.7573070.4853860.242693
1200.751420.497160.24858
1210.7264960.5470070.273504
1220.7442230.5115530.255777
1230.817580.364840.18242
1240.8186580.3626840.181342
1250.8162490.3675020.183751
1260.83290.3342010.1671
1270.8293420.3413170.170658
1280.8942960.2114080.105704
1290.8825780.2348440.117422
1300.8663880.2672240.133612
1310.8553310.2893370.144669
1320.839450.3210990.16055
1330.8213980.3572030.178602
1340.8025990.3948030.197401
1350.7794350.441130.220565
1360.7959270.4081460.204073
1370.7716890.4566220.228311
1380.7487010.5025970.251299
1390.7417470.5165060.258253
1400.7416230.5167540.258377
1410.7154660.5690680.284534
1420.8234950.353010.176505
1430.8154170.3691650.184583
1440.7923760.4152480.207624
1450.7958450.408310.204155
1460.8016670.3966660.198333
1470.7974980.4050040.202502
1480.7729510.4540990.227049
1490.7562730.4874540.243727
1500.7459490.5081020.254051
1510.7374750.525050.262525
1520.7117360.5765280.288264
1530.6969060.6061880.303094
1540.6690630.6618730.330937
1550.6473120.7053770.352688
1560.6927390.6145220.307261
1570.7067590.5864820.293241
1580.6782770.6434460.321723
1590.6768430.6463150.323157
1600.7285350.542930.271465
1610.7423410.5153180.257659
1620.728030.5439390.27197
1630.7555190.4889620.244481
1640.7291580.5416840.270842
1650.7030450.5939090.296955
1660.6927350.614530.307265
1670.6628510.6742970.337149
1680.6459530.7080930.354047
1690.7224840.5550320.277516
1700.897810.204380.10219
1710.8970410.2059180.102959
1720.9244220.1511550.0755776
1730.913050.1738990.0869497
1740.9046210.1907580.0953791
1750.8920420.2159150.107958
1760.8881560.2236870.111844
1770.8755780.2488440.124422
1780.8582120.2835750.141788
1790.846360.307280.15364
1800.8622910.2754180.137709
1810.8795380.2409250.120462
1820.8617380.2765240.138262
1830.8427980.3144030.157202
1840.8664680.2670640.133532
1850.8643580.2712850.135642
1860.88610.2278010.1139
1870.8739220.2521560.126078
1880.858260.283480.14174
1890.8591310.2817390.140869
1900.839660.3206790.16034
1910.8404240.3191520.159576
1920.8197470.3605060.180253
1930.79620.4076010.2038
1940.7702420.4595160.229758
1950.7420680.5158630.257932
1960.7675890.4648220.232411
1970.77790.44420.2221
1980.7510540.4978910.248946
1990.7484470.5031060.251553
2000.7185720.5628570.281428
2010.696120.607760.30388
2020.693470.613060.30653
2030.7004530.5990940.299547
2040.677660.644680.32234
2050.6628030.6743940.337197
2060.6283460.7433080.371654
2070.8500040.2999910.149996
2080.8581860.2836280.141814
2090.8504030.2991950.149597
2100.8282270.3435450.171773
2110.8080390.3839220.191961
2120.8035170.3929660.196483
2130.8633320.2733360.136668
2140.8832990.2334020.116701
2150.892960.2140790.10704
2160.880210.239580.11979
2170.8607290.2785430.139271
2180.9064270.1871460.0935728
2190.9019330.1961340.0980671
2200.883240.2335190.11676
2210.8836590.2326830.116341
2220.8865940.2268120.113406
2230.8660560.2678880.133944
2240.8427920.3144160.157208
2250.8487370.3025260.151263
2260.8932630.2134750.106737
2270.9040950.1918090.0959047
2280.8851090.2297820.114891
2290.8838370.2323260.116163
2300.9091380.1817250.0908624
2310.8900640.2198720.109936
2320.8781590.2436810.121841
2330.9190270.1619470.0809734
2340.9305340.1389320.0694662
2350.9238980.1522040.0761022
2360.9120870.1758270.0879133
2370.8943930.2112130.105607
2380.9024560.1950870.0975436
2390.9334160.1331670.0665837
2400.9323110.1353790.0676894
2410.9197770.1604470.0802234
2420.9570170.08596660.0429833
2430.9451070.1097860.0548932
2440.9598450.08030960.0401548
2450.9731870.05362510.0268125
2460.9748310.0503380.025169
2470.9728350.05432970.0271649
2480.9671580.06568330.0328417
2490.9560150.08797070.0439854
2500.9589130.08217360.0410868
2510.9451070.1097860.0548928
2520.9698360.06032830.0301642
2530.9653040.0693930.0346965
2540.9543730.09125470.0456274
2550.9399870.1200250.0600126
2560.9761440.04771160.0238558
2570.9735290.05294250.0264713
2580.96790.06419910.0320996
2590.9646040.07079240.0353962
2600.973590.05281950.0264097
2610.9632210.07355830.0367792
2620.9472110.1055790.0527894
2630.9267110.1465780.0732892
2640.9922980.01540330.00770164
2650.9882010.02359720.0117986
2660.9853160.02936860.0146843
2670.9767130.04657410.023287
2680.9658920.06821640.0341082
2690.9598250.08034940.0401747
2700.9749210.05015720.0250786
2710.9579920.08401560.0420078
2720.93170.13660.0682998
2730.8914910.2170180.108509
2740.8384590.3230810.161541
2750.7943410.4113170.205659
2760.7119410.5761170.288059
2770.6196330.7607340.380367
2780.4926590.9853190.507341
2790.6013610.7972770.398639
2800.4383490.8766980.561651






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level50.0182482OK
10% type I error level250.0912409OK

\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 & 5 & 0.0182482 & OK \tabularnewline
10% type I error level & 25 & 0.0912409 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266314&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]5[/C][C]0.0182482[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]25[/C][C]0.0912409[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266314&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266314&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 level50.0182482OK
10% type I error level250.0912409OK


Figures (Output of Computation)

Figure 1
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 2
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 3
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 4
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 5
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 6
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 7
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 8
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 9
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 10
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


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):
par3 <- 'No Linear Trend'
par2 <- 'Do not include Seasonal Dummies'
par1 <- '1'
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')
}