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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 20 Dec 2012 17:14:45 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/20/t13560417283wpxyub16vjn80t.htm/, Retrieved Thu, 18 Apr 2024 19:19:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=203177, Retrieved Thu, 18 Apr 2024 19:19:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact88

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2012-12-20 22:14:45] [311e8979fc66fc3b169c8163f1497ef3] [Current]
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Dataset

Dataseries X:
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Histogram
Boxplots 
110.92	89.06	3566.59	38.58
111.19	88.96	3557.28	38.48
111.19	88.95	3568.88	38.56
110.42	87.66	3515.19	38.25
109.69	86.62	3502.13	37.97
110.03	87.03	3500.94	38.42
110.77	87.83	3528.8	38.6
111.34	88.14	3498.22	38.3
111.34	88.28	3477.36	38.22
110.41	87.06	3462.06	38.22
111.05	87.69	3439.58	38.22
110.44	87.34	3341.52	36.98
111.56	88.94	3382.4	37.43
109.48	87.59	3400.02	37.52
109.18	87.12	3430.6	37.98
107.69	85.78	3411.65	37.83
108.7	86.7	3423.57	38
107.19	85.69	3407.68	37.7
107.84	85.92	3409.59	37.88
108.33	86.59	3478.66	39.02
109.4	86.06	3448.5	38.84
107.08	85.03	3492.46	39.44
106.75	84.69	3475.4	39.12
111.02	88.25	3429.27	38.82
107.81	85.79	3459.44	38.99
105.44	84.78	3408.89	38.39
105.75	84.83	3435.09	38.71
108.15	86.89	3411.53	38.43
108.47	86.12	3426.49	38.67
108.96	85.71	3406.5	38.45
109.29	85.28	3483.25	39.34
109.23	85.95	3504.56	39.6
109.61	86.17	3535.18	39.84
108.56	86.19	3527.5	40
107.77	85.77	3500.94	39.55
108.25	86.69	3420.28	38.5
109.72	89.23	3389.08	38.13
109.57	89.91	3413.72	38.75
110.14	90.51	3365.87	38.2
112.47	92.48	3382.78	38.39
113.17	92.42	3406.53	38.29
113.7	92.92	3457.04	38.73
114.47	92.19	3401.2	38.33
113.05	91.53	3406.02	38.73
114.56	91.62	3414.23	39.06
115.72	92.47	3434.98	39.28
114.51	91.27	3354.82	38.6
114.42	91.88	3439.32	39.68
112.06	89.99	3414.84	39.61
111.59	89.68	3513.81	40.74
111.9	89.92	3497.22	40.55
112.25	91.48	3530.72	40.8
108.07	88.34	3509.92	40.81
111.3	91.66	3531.82	41.47
112.23	92.43	3512.69	41
111.88	91.5	3553.69	41.42
112.14	92.03	3581.58	41.84
112.47	92.22	3502.09	40.89
110.11	90.31	3543.79	41.05
109.96	90.86	3537.3	41.2
109.86	92.1	3506.05	40.45
111.41	92.9	3519.05	40.55
111.56	93.06	3509.88	40.5
110.56	92.82	3405.79	39.23
108.36	92.19	3399.04	39.42
111.67	95.78	3453.71	40.05
113.6	97.3	3413.07	39.7
116.85	99.3	3379.11	39.17
116.7	98.99	3413.89	39.42
115.64	98.14	3431.55	39.24
115.27	96.96	3462.83	39.6
114.41	96.88	3433.21	39.38
114.26	96.25	3432.56	39.38
113.91	96.31	3461.65	39.8
114.54	96.34	3513.28	40.45
112.6	94.83	3480.58	40.45
113.78	95.78	3488.38	40.38
114.17	95.36	3480.49	40.25
115.78	96.86	3449.2	40.03
114.59	96.19	3450.27	40
114.88	96.44	3426.41	39.76
112.79	94.57	3435.62	39.96
112.73	95.15	3456.71	40
112.38	96.17	3438.26	39.9
112.59	95.67	3453.28	39.76
114.21	96.76	3401.56	38.9
113.47	96.09	3374.19	38.92
114.44	95.92	3232.46	37.34
115.03	97.36	3321.56	37.99
114.86	96.84	3291.66	37.6
113.61	96.17	3320.71	37.45
114.08	96.19	3280.19	37.35
113.73	96.17	3207.12	36.12
114.4	95.3	3081.74	34.83
114.48	94.36	3074.68	34.83
112.08	93.14	3101.53	35.39
111.58	92.58	3193.89	36.05
111.44	93.23	3263.64	36.66
113.38	93.35	3235.4	36.54
113.3	93.53	3176.97	35.87
112.03	93.32	3179.9	36.01
111.69	93.29	3180.81	36.03
109.56	91.88	3135.18	35.63
108.5	91.25	3157.25	36.04
109.01	91.36	3175.41	35.96
105.87	87.44	3156.8	35.94
105.81	88.73	3168.79	36.06
104.62	87.75	3229.36	36.52
106.05	89.61	3267.75	36.91
106.44	90.02	3271.2	37.05
106.55	90.13	3240.2	35.98
105.33	89.16	3196.65	35.5
104.61	88.77	3051.68	34.04
103.05	88.21	3063.12	34.2
103.27	87.98	3012.71	33.63
106.32	91.25	3021.64	33.84
106.71	91.59	3090.9	34.41
107.55	92.44	3114.22	34.84
105.54	90.19	3126.52	35.2
103.58	89.34	3117.92	35.3
103.13	88.52	3066.19	34.8
101.66	87.5	3087.62	35.43
102.69	87.07	3032.45	34.88
100.66	85.66	3030.04	34.81
100.68	86	3046.91	34.83
97.92	84.33	3042.76	34.7
100.28	85.17	3051.69	34.59
98.3	84.36	3071.16	34.77
97.83	84.06	3058.44	34.8
100.03	86.92	2986.1	34.32
99.72	86.88	2954.49	33.96
100.65	87.68	2950.47	34
97.35	83.35	3017.01	34.77
97.38	84.56	3015.58	34.53
97.62	85.02	3084.7	35.2
92	78.39	3042.97	35.06
93.78	80.41	3047.94	35.18
93.19	79.43	3038.25	35
91.36	79.3	3003.27	34.49
91.34	80.05	3084.09	35.15
91.39	80.11	3027.15	34.59
89.23	78.43	3008	34.65
92.66	80.75	3011.99	34.59
95.76	84.31	3048.67	34.92
95.73	83.45	3039.27	34.37
98.66	85.11	3057.99	34.47
97.53	84.05	3129.77	35.13
97.81	84.3	3130.17	35.15
96.56	82.59	3118.65	34.48
97.16	83.08	3124.8	34.91
96.25	81.5	3214.22	35.95
101.86	86.44	3161.97	35.52
99.95	84.46	3223.36	36.16
99.17	83.92	3226.33	36.15
100.92	85.39	3212.8	36.07
98.65	84.4	3266.27	36.5
98.97	84.42	3229.32	36.51
97.83	82.46	3233.46	36.23
98.75	83.28	3169.32	35.91
101.63	86.57	3098.37	35.56
103.15	87.7	3188.58	36.45
106.88	90.72	3174.02	36.34
107.28	91.06	3240.29	37.32
106.98	91.32	3292.51	37.47
106.75	90.75	3205.28	36.98
106.84	90.83	3189.09	36.42
106.16	90.28	3269.79	37.04
108.22	91.52	3237.69	37.15
109.28	93.22	3217.6	37.13
106.92	91.56	3319.81	38.21
107.14	91.32	3313.47	37.91
106.86	92.61	3406.78	38.4
109.34	92.94	3462.91	39.12
111.03	93.32	3423.81	38.05
110.33	94.28	3381.12	37.83
111.43	95.5	3430.15	38.02
112.06	95.65	3469.59	38.43
112.24	96.19	3501.98	40.94
112.7	96.43	3476.18	40.75
113.23	97.11	3472.46	41.06
113.44	98.08	3530	41.69
111.25	96.27	3530.83	41.73
113.47	98.55	3577.88	42.34
115.98	102.56	3594.83	42.54
118.33	105.28	3580.21	42.5
119.72	105.84	3564.51	42.78
119.42	104.84	3550.16	42.65
119.53	104.8	3490.06	42
119.64	104.78	3487.48	42.3
119.17	104.02	3478.36	42.02
118.45	103.75	3392.33	41.52
118.71	103.1	3362	41.77
118.81	103.86	3487.54	42.43
118.85	104.08	3501.17	42.43
118.12	103	3499.73	42.48
118.14	103.22	3452.45	42.01
118.71	104.77	3453.99	41.99
118.44	103.61	3441.45	42.01
120.48	102.83	3467.03	42.05
121.39	102.86	3447.31	41.84
121.52	103.83	3447.37	41.79
119.79	102.62	3465.24	41.82
119.39	100.95	3472.54	41.87
121.97	102.34	3439.62	41.66
121.72	102.19	3393.25	41.19
123.3	103.25	3390.35	40.99
122.69	102.08	3375.64	41.15
124.98	103.98	3384.55	40.95
125.37	104.92	3373.14	40.67
123.42	103.44	3424.71	41.1
122.92	102.97	3410	40.88
122.56	103.3	3411.54	40.93
124.31	105.56	3405.27	40.89
125.2	106.89	3427.92	40.97
125.73	107.05	3376.66	40.87
124.94	106.74	3367.46	40.56
125.11	106.8	3298.55	40.47
123.32	105.66	3265.64	40.01
124.07	106.93	3318.76	40.23
124.05	106.39	3360.7	40.45
125.28	108.19	3312.48	40.3
125.95	107.86	3322.65	40.38
126.06	107.22	3338.42	39.95
122.73	105.5	3321.5	39.74
124.47	105.66	3328.94	40.37
125.61	106.85	3264.93	40.05
125.05	106.62	3269.99	40.14
125.05	107.13	3225	39.42
125.94	107.42	3196.49	38.97
125.57	106.89	3199.98	39.06
124.25	106.14	3204.83	39.86
122.19	104.94	3210.79	40.49
124.2	107.17	3144.64	39.99
123.59	106.85	3137.36	39.94
123.63	106.58	3144.91	39.97
125.96	108.94	3193.65	40.21
122.95	107.03	3245.4	40.39
121.77	106.61	3222.3	39.95
123.38	107.97	3159.81	39.46
125.28	109.59	3127.56	39.07
125.31	109.7	3071.08	38.64
124.12	108.58	3103.11	38.96
122.64	105.96	3102.09	38.57
121.5	106	3069.3	37.84
120.03	105.03	3030.47	37.36
120.73	105.14	3055.39	37.08
119.76	104.28	2974.2	36.45
120.06	102.58	2972.3	37.02
119.04	102.2	2998.73	37.68
117.49	101.25	2976.17	37.67
117.23	100.92	3078.72	38.55
117.41	99.64	3089.59	38.16
117.66	99.02	3172.35	38.96
118.66	99.72	3095.49	38.05
117.83	98.97	3175.98	38.77
116.05	98.72	3179.63	38.76
116.46	97.19	3201.28	38.86
114.94	97.69	3164.95	38.49
114.66	97.83	3129.95	38.29

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time12 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 12 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203177&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]12 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203177&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203177&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 time12 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Total_SA[t] = -8.35563330853932 -0.056998745698594Brent[t] + 0.213609622298348WTI[t] + 0.0100191400524719Cac40[t] -0.0933746376314878M1[t] -0.102280872799912M2[t] -0.0460718368952181M3[t] -0.0809117289927951M4[t] -0.146763300701186M5[t] -0.161896243906714M6[t] -0.155790284737118M7[t] -0.246617898982854M8[t] -0.182558503438342M9[t] -0.0142231980012396M10[t] + 0.0391640386593835M11[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Total_SA[t] =  -8.35563330853932 -0.056998745698594Brent[t] +  0.213609622298348WTI[t] +  0.0100191400524719Cac40[t] -0.0933746376314878M1[t] -0.102280872799912M2[t] -0.0460718368952181M3[t] -0.0809117289927951M4[t] -0.146763300701186M5[t] -0.161896243906714M6[t] -0.155790284737118M7[t] -0.246617898982854M8[t] -0.182558503438342M9[t] -0.0142231980012396M10[t] +  0.0391640386593835M11[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203177&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Total_SA[t] =  -8.35563330853932 -0.056998745698594Brent[t] +  0.213609622298348WTI[t] +  0.0100191400524719Cac40[t] -0.0933746376314878M1[t] -0.102280872799912M2[t] -0.0460718368952181M3[t] -0.0809117289927951M4[t] -0.146763300701186M5[t] -0.161896243906714M6[t] -0.155790284737118M7[t] -0.246617898982854M8[t] -0.182558503438342M9[t] -0.0142231980012396M10[t] +  0.0391640386593835M11[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203177&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203177&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
Total_SA[t] = -8.35563330853932 -0.056998745698594Brent[t] + 0.213609622298348WTI[t] + 0.0100191400524719Cac40[t] -0.0933746376314878M1[t] -0.102280872799912M2[t] -0.0460718368952181M3[t] -0.0809117289927951M4[t] -0.146763300701186M5[t] -0.161896243906714M6[t] -0.155790284737118M7[t] -0.246617898982854M8[t] -0.182558503438342M9[t] -0.0142231980012396M10[t] + 0.0391640386593835M11[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-8.355633308539321.007603-8.292600
Brent-0.0569987456985940.019001-2.99970.0029820.001491
WTI0.2136096222983480.01911211.176600
Cac400.01001914005247190.0003330.391100
M1-0.09337463763148780.225386-0.41430.6790270.339513
M2-0.1022808727999120.225567-0.45340.6506360.325318
M3-0.04607183689521810.225588-0.20420.8383440.419172
M4-0.08091172899279510.225431-0.35890.7199650.359982
M5-0.1467633007011860.225412-0.65110.5156020.257801
M6-0.1618962439067140.225377-0.71830.4732370.236619
M7-0.1557902847371180.225335-0.69140.489990.244995
M8-0.2466178989828540.228018-1.08160.280510.140255
M9-0.1825585034383420.228038-0.80060.4241650.212083
M10-0.01422319800123960.227961-0.06240.9503010.47515
M110.03916403865938350.2279540.17180.8637320.431866

\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) & -8.35563330853932 & 1.007603 & -8.2926 & 0 & 0 \tabularnewline
Brent & -0.056998745698594 & 0.019001 & -2.9997 & 0.002982 & 0.001491 \tabularnewline
WTI & 0.213609622298348 & 0.019112 & 11.1766 & 0 & 0 \tabularnewline
Cac40 & 0.0100191400524719 & 0.00033 & 30.3911 & 0 & 0 \tabularnewline
M1 & -0.0933746376314878 & 0.225386 & -0.4143 & 0.679027 & 0.339513 \tabularnewline
M2 & -0.102280872799912 & 0.225567 & -0.4534 & 0.650636 & 0.325318 \tabularnewline
M3 & -0.0460718368952181 & 0.225588 & -0.2042 & 0.838344 & 0.419172 \tabularnewline
M4 & -0.0809117289927951 & 0.225431 & -0.3589 & 0.719965 & 0.359982 \tabularnewline
M5 & -0.146763300701186 & 0.225412 & -0.6511 & 0.515602 & 0.257801 \tabularnewline
M6 & -0.161896243906714 & 0.225377 & -0.7183 & 0.473237 & 0.236619 \tabularnewline
M7 & -0.155790284737118 & 0.225335 & -0.6914 & 0.48999 & 0.244995 \tabularnewline
M8 & -0.246617898982854 & 0.228018 & -1.0816 & 0.28051 & 0.140255 \tabularnewline
M9 & -0.182558503438342 & 0.228038 & -0.8006 & 0.424165 & 0.212083 \tabularnewline
M10 & -0.0142231980012396 & 0.227961 & -0.0624 & 0.950301 & 0.47515 \tabularnewline
M11 & 0.0391640386593835 & 0.227954 & 0.1718 & 0.863732 & 0.431866 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203177&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]-8.35563330853932[/C][C]1.007603[/C][C]-8.2926[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Brent[/C][C]-0.056998745698594[/C][C]0.019001[/C][C]-2.9997[/C][C]0.002982[/C][C]0.001491[/C][/ROW]
[ROW][C]WTI[/C][C]0.213609622298348[/C][C]0.019112[/C][C]11.1766[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Cac40[/C][C]0.0100191400524719[/C][C]0.00033[/C][C]30.3911[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M1[/C][C]-0.0933746376314878[/C][C]0.225386[/C][C]-0.4143[/C][C]0.679027[/C][C]0.339513[/C][/ROW]
[ROW][C]M2[/C][C]-0.102280872799912[/C][C]0.225567[/C][C]-0.4534[/C][C]0.650636[/C][C]0.325318[/C][/ROW]
[ROW][C]M3[/C][C]-0.0460718368952181[/C][C]0.225588[/C][C]-0.2042[/C][C]0.838344[/C][C]0.419172[/C][/ROW]
[ROW][C]M4[/C][C]-0.0809117289927951[/C][C]0.225431[/C][C]-0.3589[/C][C]0.719965[/C][C]0.359982[/C][/ROW]
[ROW][C]M5[/C][C]-0.146763300701186[/C][C]0.225412[/C][C]-0.6511[/C][C]0.515602[/C][C]0.257801[/C][/ROW]
[ROW][C]M6[/C][C]-0.161896243906714[/C][C]0.225377[/C][C]-0.7183[/C][C]0.473237[/C][C]0.236619[/C][/ROW]
[ROW][C]M7[/C][C]-0.155790284737118[/C][C]0.225335[/C][C]-0.6914[/C][C]0.48999[/C][C]0.244995[/C][/ROW]
[ROW][C]M8[/C][C]-0.246617898982854[/C][C]0.228018[/C][C]-1.0816[/C][C]0.28051[/C][C]0.140255[/C][/ROW]
[ROW][C]M9[/C][C]-0.182558503438342[/C][C]0.228038[/C][C]-0.8006[/C][C]0.424165[/C][C]0.212083[/C][/ROW]
[ROW][C]M10[/C][C]-0.0142231980012396[/C][C]0.227961[/C][C]-0.0624[/C][C]0.950301[/C][C]0.47515[/C][/ROW]
[ROW][C]M11[/C][C]0.0391640386593835[/C][C]0.227954[/C][C]0.1718[/C][C]0.863732[/C][C]0.431866[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203177&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203177&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)-8.355633308539321.007603-8.292600
Brent-0.0569987456985940.019001-2.99970.0029820.001491
WTI0.2136096222983480.01911211.176600
Cac400.01001914005247190.0003330.391100
M1-0.09337463763148780.225386-0.41430.6790270.339513
M2-0.1022808727999120.225567-0.45340.6506360.325318
M3-0.04607183689521810.225588-0.20420.8383440.419172
M4-0.08091172899279510.225431-0.35890.7199650.359982
M5-0.1467633007011860.225412-0.65110.5156020.257801
M6-0.1618962439067140.225377-0.71830.4732370.236619
M7-0.1557902847371180.225335-0.69140.489990.244995
M8-0.2466178989828540.228018-1.08160.280510.140255
M9-0.1825585034383420.228038-0.80060.4241650.212083
M10-0.01422319800123960.227961-0.06240.9503010.47515
M110.03916403865938350.2279540.17180.8637320.431866






Multiple Linear Regression - Regression Statistics
Multiple R0.951177143091833
R-squared0.904737957540341
Adjusted R-squared0.899272102645115
F-TEST (value)165.525425552461
F-TEST (DF numerator)14
F-TEST (DF denominator)244
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.738522847212025
Sum Squared Residuals133.081502988414

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.951177143091833 \tabularnewline
R-squared & 0.904737957540341 \tabularnewline
Adjusted R-squared & 0.899272102645115 \tabularnewline
F-TEST (value) & 165.525425552461 \tabularnewline
F-TEST (DF numerator) & 14 \tabularnewline
F-TEST (DF denominator) & 244 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.738522847212025 \tabularnewline
Sum Squared Residuals & 133.081502988414 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203177&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.951177143091833[/C][/ROW]
[ROW][C]R-squared[/C][C]0.904737957540341[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.899272102645115[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]165.525425552461[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]14[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]244[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.738522847212025[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]133.081502988414[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203177&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203177&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 R0.951177143091833
R-squared0.904737957540341
Adjusted R-squared0.899272102645115
F-TEST (value)165.525425552461
F-TEST (DF numerator)14
F-TEST (DF denominator)244
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.738522847212025
Sum Squared Residuals133.081502988414






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
138.5839.9869288625779-1.4069288625779
238.4839.8479938099525-1.36799380995255
338.5640.0182887742429-1.45828877424293
438.2539.2138538741512-0.963853874151186
537.9738.8366074105272-0.866607410527207
638.4238.877752062264-0.457752062264034
738.639.2916998893172-0.691699889317219
838.338.9282166701312-0.62821667013118
938.2238.8131821513029-0.593182151302898
1038.2238.6206297082329-0.400629708232886
1138.2238.5468815413148-0.326881541314798
1236.9837.4852464961817-0.50524649618174
1337.4338.0793911043902-0.649391104390233
1437.5238.0772065178967-0.557206517896667
1537.9838.3565039578353-0.376503957835313
1637.8337.9304925989545-0.100492598954512
173838.1230212960305-0.123021296030486
1837.737.8190066048747-0.119006604874717
1937.8837.85633014996910.0236698500309273
2039.0238.57271360069520.447286399304847
2138.8438.16039397454150.679606025458508
2239.4438.68138985573870.758610144261293
2339.1238.51003287760330.609967122396744
2438.8238.52575151957250.294248480427539
2538.9938.39214064016260.597859359837397
2638.3937.79610818412610.593891815873943
2738.7138.10782955935390.602170440646129
2838.4338.1401775598780.289822440121972
2938.6738.04149331556130.628506684438666
3038.4537.71056843217230.739431567827743
3139.3438.37498166670030.96501833329975
3239.638.64420029865450.955799701345499
3339.8439.04038035614590.799619643854127
344039.19588954140950.804110458590515
3539.5538.9384813860130.61151861398696
3638.538.26033496530040.239665034699577
3738.1338.3131434424927-0.183143442492677
3838.7538.70491317323480.0450868267651732
3938.238.3773828459596-0.177382845959548
4038.3938.7999704905993-0.409970490599298
4138.2938.9193577958102-0.6293577958102
4238.7339.4868870925839-0.756887092583949
4338.3338.7337002127578-0.403700212757797
4438.7338.63112072174010.0988792782599269
4539.0638.71059401711740.34940598288265
4639.2839.20227611258650.0777238874135281
4738.638.26516601817820.334833981821775
4839.6839.20805107066760.471948929332411
4939.6138.60020273825641.00979726174361
5040.7439.5434612216471.19653877835303
5140.5539.46704942226621.08295057773381
5240.840.08113217171730.71886782828266
5340.8139.37440302992081.43559697007916
5441.4740.10376725128851.36623274871149
554140.02967763692440.970322363075649
5641.4240.1709273770871.24907262291299
5741.8440.61281401463151.22718598536855
5840.8940.00650411945370.883495880546291
5941.0540.20421215756130.845787842438748
6041.240.22605900408020.973940995919798
6140.4540.09016204602880.359837953971224
6240.5540.29404427354840.255955726451647
6340.540.28400552288480.215994477115179
6439.2339.21200577907240.0179942209275707
6539.4239.06934819049880.350651809501203
6640.0540.1801543297506-0.130154329750639
6739.739.993761483883-0.293761483882973
6839.1739.8046571945316-0.634657194531556
6939.4240.1595131100433-0.73951311004334
7039.2440.383636920294-1.14363692029401
7139.640.5194530393924-0.919453039392386
7239.3840.2154522238957-0.835452223895706
7339.3839.9895408950369-0.609540895036942
7439.840.3048575823273-0.504857582327343
7540.4540.84885389802-0.398853898019995
7640.4540.27441516319130.175584836808651
7740.3840.4223835051513-0.0423835051513307
7840.2540.2162539947440.0337460052559592
7940.0340.1375075145446-0.107507514544574
804039.98211044059640.0178895594035808
8139.7639.8439859238109-0.083985923810947
8239.9639.82427489394350.135725106056538
834040.2162792999857-0.216279299985681
8439.940.230093503097-0.330093503097016
8539.7640.1684318013078-0.408431801307779
8638.939.781832162899-0.88183216289898
8738.9239.4628779604446-0.54287796044458
8837.3437.9164229295918-0.576422929591797
8937.9939.0172453327061-1.02724533270611
9037.638.6011528851053-1.00115288510529
9137.4538.8264448479826-1.37644484798254
9237.3538.3071244607783-0.957124460778273
9336.1237.6547626612372-1.5347626612372
9434.8336.3428686558778-1.51286865587775
9534.8336.1201678191516-1.29016781915159
9635.3936.2262109413737-0.83621094137372
9736.0536.9670820633508-0.917082063350762
9836.6637.803836925734-1.14383692573399
9936.5437.4921610345774-0.952161034577401
10035.8736.9149124208835-1.04491242088348
10136.0136.9059473158834-0.895947315883391
10236.0336.9129030749942-0.882903074994183
10335.6336.2820534344668-0.652053434466814
10436.0436.3381928495717-0.29819284957169
10535.9636.5786275266156-0.618627526615625
10635.9435.90213297776030.0378670222397089
10736.0636.3546260411568-0.294626041156832
10836.5236.7808123930046-0.26081239300462
10936.9137.3878782331135-0.477878233113474
11037.0537.4788884654459-0.428888465445945
11135.9837.24173135615-1.26173135614998
11235.536.6328950508901-1.13289505089014
11334.0435.0723000899815-1.03230008998152
11434.235.141082763779-0.941082763778999
11533.6334.5804539357212-0.950453935721178
11633.8435.1037545326789-1.2637545326789
11734.4135.9121373290166-1.50213732901662
11834.8436.4478082130441-1.60780821304413
11935.236.2583767010331-1.05837670103305
12035.336.0631974205381-0.763197420538064
12134.835.3020222132719-0.502022213271923
12235.4335.37373249086060.0562675091394129
12334.8834.72662472441260.153375275587443
12434.8134.4821565911160.327843408883999
12534.8334.65681520876030.173184791239719
12634.734.40069130322690.299308696773128
12734.5934.5411832259470.0488167740530286
12834.7734.58526199094440.184738009055584
12934.834.48458444881030.315415551189671
13034.3234.413661442088-0.093661442087973
13133.9634.1594688879646-0.199468887964586
1323434.1979067706333-0.197906770633254
13334.7734.03437190834680.735628091653238
13434.5334.26789598351330.262104016486653
13535.235.10120870713450.0987912928655252
13635.0633.55237125563531.5076287443647
13735.1833.86634847968691.31365152031314
1383533.57842189948271.42157810051733
13934.4933.31059679334641.17940320665356
14035.1534.19086326977920.95913673022078
14134.5933.6943994707890.895600529211054
14234.6533.4351213694691.21487863053105
14334.5933.82855360092490.761446399075078
14434.9234.74064576310670.179354236893309
14534.3734.3710968961763-0.00109689617634932
14634.4734.7373346109086-0.267334610908573
14735.1335.3506999027829-0.220699902782864
14835.1535.3573104234853-0.207310423485261
14934.4834.8820143363655-0.402014336365464
15034.9134.9989685719897-0.0889685719896729
15135.9535.61535169000560.334648309994369
15235.5235.736492578803-0.216492578802962
15336.1636.10154753430230.0584524656976786
15436.1536.2287495112991-0.0787495112990582
15536.0736.3608361228558-0.290836122855769
15636.536.7753091294625-0.275309129462503
15736.5136.29775986071460.212240139285403
15836.2335.9766365757550.25336342424496
15935.9135.51293901293610.397060987063875
16035.5635.30586040386530.254139596134732
16136.4536.29857623602560.151423763974357
16236.3436.5700603515414-0.230060351541378
16337.3237.28996249529030.0300375047097059
16437.4737.7949725000918-0.324972500091793
16536.9836.87641453565980.1035854643402
16636.4236.8944988463184-0.47449884631837
16737.0437.6777045400244-0.637704540024433
16837.1537.4643846211915-0.314384621191548
16937.1337.4724431473726-0.342443147372576
17038.2138.2675182838007-0.057518283800736
17137.9138.1963999383675-0.286399938367465
17238.439.3879620661265-0.987962066126523
17339.1239.8136191115893-0.693619111589321
17438.0539.3915815685749-1.34158156857489
17537.8339.2149347982999-1.38493479829989
17638.0239.8132507397624-1.79325073976238
17738.4340.268597252531-1.83859725253103
17840.9440.86654192608310.0734580739169431
17940.7540.68648223572010.0635177642798479
18041.0640.72509220400820.334907795991808
18141.6941.40345048202860.286549517971363
18241.7341.14105396982370.588946030176325
18342.3442.02915626858650.310843731413476
18442.5442.8776485340913-0.337648534091254
18542.543.1123882550755-0.612388255075535
18642.7842.9803479450122-0.200347945012227
18742.6542.64616924584010.00383075415992009
1884241.9383770675220.0616229324780011
18942.341.96604502725830.333954972741674
19042.0241.90745187294850.112548127051527
19141.5241.08225698977740.437743010222633
19241.7740.5855465049511.18445349504905
19342.4341.90661814788370.523381852116323
19442.4342.07898695870810.351013041291861
19542.4841.9316791252150.548320874784966
19642.0141.46898843342820.541011566571756
19741.9941.71717196691490.272828033085103
19842.0141.34400150692390.665998493076088
19942.0541.32350412201790.726495877982098
20041.8440.98963849602060.850361503979359
20141.7941.25409053665690.535909463343115
20241.8241.44160806190920.378391938090774
20341.8741.23420644999410.635793550005904
20441.6641.01507293189970.644927068100333
20541.1940.43931901311490.750680986885049
20640.9940.53772545322680.452274546773177
20741.1540.23139891574670.918601084253267
20840.9540.56116071623380.388839283766238
20940.6740.55955429066470.110445709335342
21041.140.85611371307580.243886286924187
21140.8840.64294097244260.237059027557381
21240.9340.65855355768760.27144644231236
21340.8941.0428028865249-0.152802886524881
21440.9741.6714436281355-0.701443628135529
21540.8741.2152179500539-0.34521795005392
21640.5641.0626878491012-0.502687849101192
21740.4740.2820210610230.187978938976992
21840.0139.80189771210810.208102287891904
21940.2340.6188586286451-0.388858628645063
22040.4540.890012249221-0.440012249221012
22140.340.6554266071102-0.355426607110186
22240.3840.6335079832618-0.253507983261781
22339.9540.6546357607611-0.704635760761071
22439.7440.2166815696507-0.47668156965067
22540.3740.29028308923780.0797169107622399
22640.0540.00651012035480.0434898796452327
22740.1440.09338329014350.0466167098565104
22839.4239.7123990478956-0.29239904789555
22938.9739.3445966341629-0.374596634162861
23039.0639.2785336338679-0.218533633867918
23139.8639.29836662662550.561633373374514
23240.4939.18432667862171.30567332137827
23339.9938.81749097131351.17250902868654
23439.9438.69583284426661.24416715573339
23539.9738.71762876298391.25237123701613
23640.2139.4864456660420.723554333958008
23740.3939.83256740526490.557432594735149
23839.9539.74700305404890.202996945951115
23939.4639.37303533458160.0869646654184475
24039.0739.2485040005259-0.178504000525945
24138.6438.61103542881270.0289645711872983
24238.9638.75162797993210.208372020067869
24338.5738.32231842619560.247681573804449
24437.8438.0324738867658-0.192473886765749
24537.3637.4541659293674-0.0941659293674083
24637.0837.6723078927333-0.592307892733285
24736.4536.7365443791937-0.286544379193736
24837.0236.24644441723150.773555582768463
24937.6836.55227674850211.12772325149792
25037.6736.37999916900481.2900008309952
25138.5537.40517771656961.14482228343039
25238.1637.1912416395130.968758360487037
25338.9637.78036338037441.17963661962558
25438.0537.09391403068330.956085969316743
25538.7737.84366539161750.926334608382514
25638.7637.89345072248030.866549277519652
25738.8637.69432132505511.16567867494492
25838.4937.50863592835430.981364071645725
25938.2937.20993698160471.08006301839527

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 38.58 & 39.9869288625779 & -1.4069288625779 \tabularnewline
2 & 38.48 & 39.8479938099525 & -1.36799380995255 \tabularnewline
3 & 38.56 & 40.0182887742429 & -1.45828877424293 \tabularnewline
4 & 38.25 & 39.2138538741512 & -0.963853874151186 \tabularnewline
5 & 37.97 & 38.8366074105272 & -0.866607410527207 \tabularnewline
6 & 38.42 & 38.877752062264 & -0.457752062264034 \tabularnewline
7 & 38.6 & 39.2916998893172 & -0.691699889317219 \tabularnewline
8 & 38.3 & 38.9282166701312 & -0.62821667013118 \tabularnewline
9 & 38.22 & 38.8131821513029 & -0.593182151302898 \tabularnewline
10 & 38.22 & 38.6206297082329 & -0.400629708232886 \tabularnewline
11 & 38.22 & 38.5468815413148 & -0.326881541314798 \tabularnewline
12 & 36.98 & 37.4852464961817 & -0.50524649618174 \tabularnewline
13 & 37.43 & 38.0793911043902 & -0.649391104390233 \tabularnewline
14 & 37.52 & 38.0772065178967 & -0.557206517896667 \tabularnewline
15 & 37.98 & 38.3565039578353 & -0.376503957835313 \tabularnewline
16 & 37.83 & 37.9304925989545 & -0.100492598954512 \tabularnewline
17 & 38 & 38.1230212960305 & -0.123021296030486 \tabularnewline
18 & 37.7 & 37.8190066048747 & -0.119006604874717 \tabularnewline
19 & 37.88 & 37.8563301499691 & 0.0236698500309273 \tabularnewline
20 & 39.02 & 38.5727136006952 & 0.447286399304847 \tabularnewline
21 & 38.84 & 38.1603939745415 & 0.679606025458508 \tabularnewline
22 & 39.44 & 38.6813898557387 & 0.758610144261293 \tabularnewline
23 & 39.12 & 38.5100328776033 & 0.609967122396744 \tabularnewline
24 & 38.82 & 38.5257515195725 & 0.294248480427539 \tabularnewline
25 & 38.99 & 38.3921406401626 & 0.597859359837397 \tabularnewline
26 & 38.39 & 37.7961081841261 & 0.593891815873943 \tabularnewline
27 & 38.71 & 38.1078295593539 & 0.602170440646129 \tabularnewline
28 & 38.43 & 38.140177559878 & 0.289822440121972 \tabularnewline
29 & 38.67 & 38.0414933155613 & 0.628506684438666 \tabularnewline
30 & 38.45 & 37.7105684321723 & 0.739431567827743 \tabularnewline
31 & 39.34 & 38.3749816667003 & 0.96501833329975 \tabularnewline
32 & 39.6 & 38.6442002986545 & 0.955799701345499 \tabularnewline
33 & 39.84 & 39.0403803561459 & 0.799619643854127 \tabularnewline
34 & 40 & 39.1958895414095 & 0.804110458590515 \tabularnewline
35 & 39.55 & 38.938481386013 & 0.61151861398696 \tabularnewline
36 & 38.5 & 38.2603349653004 & 0.239665034699577 \tabularnewline
37 & 38.13 & 38.3131434424927 & -0.183143442492677 \tabularnewline
38 & 38.75 & 38.7049131732348 & 0.0450868267651732 \tabularnewline
39 & 38.2 & 38.3773828459596 & -0.177382845959548 \tabularnewline
40 & 38.39 & 38.7999704905993 & -0.409970490599298 \tabularnewline
41 & 38.29 & 38.9193577958102 & -0.6293577958102 \tabularnewline
42 & 38.73 & 39.4868870925839 & -0.756887092583949 \tabularnewline
43 & 38.33 & 38.7337002127578 & -0.403700212757797 \tabularnewline
44 & 38.73 & 38.6311207217401 & 0.0988792782599269 \tabularnewline
45 & 39.06 & 38.7105940171174 & 0.34940598288265 \tabularnewline
46 & 39.28 & 39.2022761125865 & 0.0777238874135281 \tabularnewline
47 & 38.6 & 38.2651660181782 & 0.334833981821775 \tabularnewline
48 & 39.68 & 39.2080510706676 & 0.471948929332411 \tabularnewline
49 & 39.61 & 38.6002027382564 & 1.00979726174361 \tabularnewline
50 & 40.74 & 39.543461221647 & 1.19653877835303 \tabularnewline
51 & 40.55 & 39.4670494222662 & 1.08295057773381 \tabularnewline
52 & 40.8 & 40.0811321717173 & 0.71886782828266 \tabularnewline
53 & 40.81 & 39.3744030299208 & 1.43559697007916 \tabularnewline
54 & 41.47 & 40.1037672512885 & 1.36623274871149 \tabularnewline
55 & 41 & 40.0296776369244 & 0.970322363075649 \tabularnewline
56 & 41.42 & 40.170927377087 & 1.24907262291299 \tabularnewline
57 & 41.84 & 40.6128140146315 & 1.22718598536855 \tabularnewline
58 & 40.89 & 40.0065041194537 & 0.883495880546291 \tabularnewline
59 & 41.05 & 40.2042121575613 & 0.845787842438748 \tabularnewline
60 & 41.2 & 40.2260590040802 & 0.973940995919798 \tabularnewline
61 & 40.45 & 40.0901620460288 & 0.359837953971224 \tabularnewline
62 & 40.55 & 40.2940442735484 & 0.255955726451647 \tabularnewline
63 & 40.5 & 40.2840055228848 & 0.215994477115179 \tabularnewline
64 & 39.23 & 39.2120057790724 & 0.0179942209275707 \tabularnewline
65 & 39.42 & 39.0693481904988 & 0.350651809501203 \tabularnewline
66 & 40.05 & 40.1801543297506 & -0.130154329750639 \tabularnewline
67 & 39.7 & 39.993761483883 & -0.293761483882973 \tabularnewline
68 & 39.17 & 39.8046571945316 & -0.634657194531556 \tabularnewline
69 & 39.42 & 40.1595131100433 & -0.73951311004334 \tabularnewline
70 & 39.24 & 40.383636920294 & -1.14363692029401 \tabularnewline
71 & 39.6 & 40.5194530393924 & -0.919453039392386 \tabularnewline
72 & 39.38 & 40.2154522238957 & -0.835452223895706 \tabularnewline
73 & 39.38 & 39.9895408950369 & -0.609540895036942 \tabularnewline
74 & 39.8 & 40.3048575823273 & -0.504857582327343 \tabularnewline
75 & 40.45 & 40.84885389802 & -0.398853898019995 \tabularnewline
76 & 40.45 & 40.2744151631913 & 0.175584836808651 \tabularnewline
77 & 40.38 & 40.4223835051513 & -0.0423835051513307 \tabularnewline
78 & 40.25 & 40.216253994744 & 0.0337460052559592 \tabularnewline
79 & 40.03 & 40.1375075145446 & -0.107507514544574 \tabularnewline
80 & 40 & 39.9821104405964 & 0.0178895594035808 \tabularnewline
81 & 39.76 & 39.8439859238109 & -0.083985923810947 \tabularnewline
82 & 39.96 & 39.8242748939435 & 0.135725106056538 \tabularnewline
83 & 40 & 40.2162792999857 & -0.216279299985681 \tabularnewline
84 & 39.9 & 40.230093503097 & -0.330093503097016 \tabularnewline
85 & 39.76 & 40.1684318013078 & -0.408431801307779 \tabularnewline
86 & 38.9 & 39.781832162899 & -0.88183216289898 \tabularnewline
87 & 38.92 & 39.4628779604446 & -0.54287796044458 \tabularnewline
88 & 37.34 & 37.9164229295918 & -0.576422929591797 \tabularnewline
89 & 37.99 & 39.0172453327061 & -1.02724533270611 \tabularnewline
90 & 37.6 & 38.6011528851053 & -1.00115288510529 \tabularnewline
91 & 37.45 & 38.8264448479826 & -1.37644484798254 \tabularnewline
92 & 37.35 & 38.3071244607783 & -0.957124460778273 \tabularnewline
93 & 36.12 & 37.6547626612372 & -1.5347626612372 \tabularnewline
94 & 34.83 & 36.3428686558778 & -1.51286865587775 \tabularnewline
95 & 34.83 & 36.1201678191516 & -1.29016781915159 \tabularnewline
96 & 35.39 & 36.2262109413737 & -0.83621094137372 \tabularnewline
97 & 36.05 & 36.9670820633508 & -0.917082063350762 \tabularnewline
98 & 36.66 & 37.803836925734 & -1.14383692573399 \tabularnewline
99 & 36.54 & 37.4921610345774 & -0.952161034577401 \tabularnewline
100 & 35.87 & 36.9149124208835 & -1.04491242088348 \tabularnewline
101 & 36.01 & 36.9059473158834 & -0.895947315883391 \tabularnewline
102 & 36.03 & 36.9129030749942 & -0.882903074994183 \tabularnewline
103 & 35.63 & 36.2820534344668 & -0.652053434466814 \tabularnewline
104 & 36.04 & 36.3381928495717 & -0.29819284957169 \tabularnewline
105 & 35.96 & 36.5786275266156 & -0.618627526615625 \tabularnewline
106 & 35.94 & 35.9021329777603 & 0.0378670222397089 \tabularnewline
107 & 36.06 & 36.3546260411568 & -0.294626041156832 \tabularnewline
108 & 36.52 & 36.7808123930046 & -0.26081239300462 \tabularnewline
109 & 36.91 & 37.3878782331135 & -0.477878233113474 \tabularnewline
110 & 37.05 & 37.4788884654459 & -0.428888465445945 \tabularnewline
111 & 35.98 & 37.24173135615 & -1.26173135614998 \tabularnewline
112 & 35.5 & 36.6328950508901 & -1.13289505089014 \tabularnewline
113 & 34.04 & 35.0723000899815 & -1.03230008998152 \tabularnewline
114 & 34.2 & 35.141082763779 & -0.941082763778999 \tabularnewline
115 & 33.63 & 34.5804539357212 & -0.950453935721178 \tabularnewline
116 & 33.84 & 35.1037545326789 & -1.2637545326789 \tabularnewline
117 & 34.41 & 35.9121373290166 & -1.50213732901662 \tabularnewline
118 & 34.84 & 36.4478082130441 & -1.60780821304413 \tabularnewline
119 & 35.2 & 36.2583767010331 & -1.05837670103305 \tabularnewline
120 & 35.3 & 36.0631974205381 & -0.763197420538064 \tabularnewline
121 & 34.8 & 35.3020222132719 & -0.502022213271923 \tabularnewline
122 & 35.43 & 35.3737324908606 & 0.0562675091394129 \tabularnewline
123 & 34.88 & 34.7266247244126 & 0.153375275587443 \tabularnewline
124 & 34.81 & 34.482156591116 & 0.327843408883999 \tabularnewline
125 & 34.83 & 34.6568152087603 & 0.173184791239719 \tabularnewline
126 & 34.7 & 34.4006913032269 & 0.299308696773128 \tabularnewline
127 & 34.59 & 34.541183225947 & 0.0488167740530286 \tabularnewline
128 & 34.77 & 34.5852619909444 & 0.184738009055584 \tabularnewline
129 & 34.8 & 34.4845844488103 & 0.315415551189671 \tabularnewline
130 & 34.32 & 34.413661442088 & -0.093661442087973 \tabularnewline
131 & 33.96 & 34.1594688879646 & -0.199468887964586 \tabularnewline
132 & 34 & 34.1979067706333 & -0.197906770633254 \tabularnewline
133 & 34.77 & 34.0343719083468 & 0.735628091653238 \tabularnewline
134 & 34.53 & 34.2678959835133 & 0.262104016486653 \tabularnewline
135 & 35.2 & 35.1012087071345 & 0.0987912928655252 \tabularnewline
136 & 35.06 & 33.5523712556353 & 1.5076287443647 \tabularnewline
137 & 35.18 & 33.8663484796869 & 1.31365152031314 \tabularnewline
138 & 35 & 33.5784218994827 & 1.42157810051733 \tabularnewline
139 & 34.49 & 33.3105967933464 & 1.17940320665356 \tabularnewline
140 & 35.15 & 34.1908632697792 & 0.95913673022078 \tabularnewline
141 & 34.59 & 33.694399470789 & 0.895600529211054 \tabularnewline
142 & 34.65 & 33.435121369469 & 1.21487863053105 \tabularnewline
143 & 34.59 & 33.8285536009249 & 0.761446399075078 \tabularnewline
144 & 34.92 & 34.7406457631067 & 0.179354236893309 \tabularnewline
145 & 34.37 & 34.3710968961763 & -0.00109689617634932 \tabularnewline
146 & 34.47 & 34.7373346109086 & -0.267334610908573 \tabularnewline
147 & 35.13 & 35.3506999027829 & -0.220699902782864 \tabularnewline
148 & 35.15 & 35.3573104234853 & -0.207310423485261 \tabularnewline
149 & 34.48 & 34.8820143363655 & -0.402014336365464 \tabularnewline
150 & 34.91 & 34.9989685719897 & -0.0889685719896729 \tabularnewline
151 & 35.95 & 35.6153516900056 & 0.334648309994369 \tabularnewline
152 & 35.52 & 35.736492578803 & -0.216492578802962 \tabularnewline
153 & 36.16 & 36.1015475343023 & 0.0584524656976786 \tabularnewline
154 & 36.15 & 36.2287495112991 & -0.0787495112990582 \tabularnewline
155 & 36.07 & 36.3608361228558 & -0.290836122855769 \tabularnewline
156 & 36.5 & 36.7753091294625 & -0.275309129462503 \tabularnewline
157 & 36.51 & 36.2977598607146 & 0.212240139285403 \tabularnewline
158 & 36.23 & 35.976636575755 & 0.25336342424496 \tabularnewline
159 & 35.91 & 35.5129390129361 & 0.397060987063875 \tabularnewline
160 & 35.56 & 35.3058604038653 & 0.254139596134732 \tabularnewline
161 & 36.45 & 36.2985762360256 & 0.151423763974357 \tabularnewline
162 & 36.34 & 36.5700603515414 & -0.230060351541378 \tabularnewline
163 & 37.32 & 37.2899624952903 & 0.0300375047097059 \tabularnewline
164 & 37.47 & 37.7949725000918 & -0.324972500091793 \tabularnewline
165 & 36.98 & 36.8764145356598 & 0.1035854643402 \tabularnewline
166 & 36.42 & 36.8944988463184 & -0.47449884631837 \tabularnewline
167 & 37.04 & 37.6777045400244 & -0.637704540024433 \tabularnewline
168 & 37.15 & 37.4643846211915 & -0.314384621191548 \tabularnewline
169 & 37.13 & 37.4724431473726 & -0.342443147372576 \tabularnewline
170 & 38.21 & 38.2675182838007 & -0.057518283800736 \tabularnewline
171 & 37.91 & 38.1963999383675 & -0.286399938367465 \tabularnewline
172 & 38.4 & 39.3879620661265 & -0.987962066126523 \tabularnewline
173 & 39.12 & 39.8136191115893 & -0.693619111589321 \tabularnewline
174 & 38.05 & 39.3915815685749 & -1.34158156857489 \tabularnewline
175 & 37.83 & 39.2149347982999 & -1.38493479829989 \tabularnewline
176 & 38.02 & 39.8132507397624 & -1.79325073976238 \tabularnewline
177 & 38.43 & 40.268597252531 & -1.83859725253103 \tabularnewline
178 & 40.94 & 40.8665419260831 & 0.0734580739169431 \tabularnewline
179 & 40.75 & 40.6864822357201 & 0.0635177642798479 \tabularnewline
180 & 41.06 & 40.7250922040082 & 0.334907795991808 \tabularnewline
181 & 41.69 & 41.4034504820286 & 0.286549517971363 \tabularnewline
182 & 41.73 & 41.1410539698237 & 0.588946030176325 \tabularnewline
183 & 42.34 & 42.0291562685865 & 0.310843731413476 \tabularnewline
184 & 42.54 & 42.8776485340913 & -0.337648534091254 \tabularnewline
185 & 42.5 & 43.1123882550755 & -0.612388255075535 \tabularnewline
186 & 42.78 & 42.9803479450122 & -0.200347945012227 \tabularnewline
187 & 42.65 & 42.6461692458401 & 0.00383075415992009 \tabularnewline
188 & 42 & 41.938377067522 & 0.0616229324780011 \tabularnewline
189 & 42.3 & 41.9660450272583 & 0.333954972741674 \tabularnewline
190 & 42.02 & 41.9074518729485 & 0.112548127051527 \tabularnewline
191 & 41.52 & 41.0822569897774 & 0.437743010222633 \tabularnewline
192 & 41.77 & 40.585546504951 & 1.18445349504905 \tabularnewline
193 & 42.43 & 41.9066181478837 & 0.523381852116323 \tabularnewline
194 & 42.43 & 42.0789869587081 & 0.351013041291861 \tabularnewline
195 & 42.48 & 41.931679125215 & 0.548320874784966 \tabularnewline
196 & 42.01 & 41.4689884334282 & 0.541011566571756 \tabularnewline
197 & 41.99 & 41.7171719669149 & 0.272828033085103 \tabularnewline
198 & 42.01 & 41.3440015069239 & 0.665998493076088 \tabularnewline
199 & 42.05 & 41.3235041220179 & 0.726495877982098 \tabularnewline
200 & 41.84 & 40.9896384960206 & 0.850361503979359 \tabularnewline
201 & 41.79 & 41.2540905366569 & 0.535909463343115 \tabularnewline
202 & 41.82 & 41.4416080619092 & 0.378391938090774 \tabularnewline
203 & 41.87 & 41.2342064499941 & 0.635793550005904 \tabularnewline
204 & 41.66 & 41.0150729318997 & 0.644927068100333 \tabularnewline
205 & 41.19 & 40.4393190131149 & 0.750680986885049 \tabularnewline
206 & 40.99 & 40.5377254532268 & 0.452274546773177 \tabularnewline
207 & 41.15 & 40.2313989157467 & 0.918601084253267 \tabularnewline
208 & 40.95 & 40.5611607162338 & 0.388839283766238 \tabularnewline
209 & 40.67 & 40.5595542906647 & 0.110445709335342 \tabularnewline
210 & 41.1 & 40.8561137130758 & 0.243886286924187 \tabularnewline
211 & 40.88 & 40.6429409724426 & 0.237059027557381 \tabularnewline
212 & 40.93 & 40.6585535576876 & 0.27144644231236 \tabularnewline
213 & 40.89 & 41.0428028865249 & -0.152802886524881 \tabularnewline
214 & 40.97 & 41.6714436281355 & -0.701443628135529 \tabularnewline
215 & 40.87 & 41.2152179500539 & -0.34521795005392 \tabularnewline
216 & 40.56 & 41.0626878491012 & -0.502687849101192 \tabularnewline
217 & 40.47 & 40.282021061023 & 0.187978938976992 \tabularnewline
218 & 40.01 & 39.8018977121081 & 0.208102287891904 \tabularnewline
219 & 40.23 & 40.6188586286451 & -0.388858628645063 \tabularnewline
220 & 40.45 & 40.890012249221 & -0.440012249221012 \tabularnewline
221 & 40.3 & 40.6554266071102 & -0.355426607110186 \tabularnewline
222 & 40.38 & 40.6335079832618 & -0.253507983261781 \tabularnewline
223 & 39.95 & 40.6546357607611 & -0.704635760761071 \tabularnewline
224 & 39.74 & 40.2166815696507 & -0.47668156965067 \tabularnewline
225 & 40.37 & 40.2902830892378 & 0.0797169107622399 \tabularnewline
226 & 40.05 & 40.0065101203548 & 0.0434898796452327 \tabularnewline
227 & 40.14 & 40.0933832901435 & 0.0466167098565104 \tabularnewline
228 & 39.42 & 39.7123990478956 & -0.29239904789555 \tabularnewline
229 & 38.97 & 39.3445966341629 & -0.374596634162861 \tabularnewline
230 & 39.06 & 39.2785336338679 & -0.218533633867918 \tabularnewline
231 & 39.86 & 39.2983666266255 & 0.561633373374514 \tabularnewline
232 & 40.49 & 39.1843266786217 & 1.30567332137827 \tabularnewline
233 & 39.99 & 38.8174909713135 & 1.17250902868654 \tabularnewline
234 & 39.94 & 38.6958328442666 & 1.24416715573339 \tabularnewline
235 & 39.97 & 38.7176287629839 & 1.25237123701613 \tabularnewline
236 & 40.21 & 39.486445666042 & 0.723554333958008 \tabularnewline
237 & 40.39 & 39.8325674052649 & 0.557432594735149 \tabularnewline
238 & 39.95 & 39.7470030540489 & 0.202996945951115 \tabularnewline
239 & 39.46 & 39.3730353345816 & 0.0869646654184475 \tabularnewline
240 & 39.07 & 39.2485040005259 & -0.178504000525945 \tabularnewline
241 & 38.64 & 38.6110354288127 & 0.0289645711872983 \tabularnewline
242 & 38.96 & 38.7516279799321 & 0.208372020067869 \tabularnewline
243 & 38.57 & 38.3223184261956 & 0.247681573804449 \tabularnewline
244 & 37.84 & 38.0324738867658 & -0.192473886765749 \tabularnewline
245 & 37.36 & 37.4541659293674 & -0.0941659293674083 \tabularnewline
246 & 37.08 & 37.6723078927333 & -0.592307892733285 \tabularnewline
247 & 36.45 & 36.7365443791937 & -0.286544379193736 \tabularnewline
248 & 37.02 & 36.2464444172315 & 0.773555582768463 \tabularnewline
249 & 37.68 & 36.5522767485021 & 1.12772325149792 \tabularnewline
250 & 37.67 & 36.3799991690048 & 1.2900008309952 \tabularnewline
251 & 38.55 & 37.4051777165696 & 1.14482228343039 \tabularnewline
252 & 38.16 & 37.191241639513 & 0.968758360487037 \tabularnewline
253 & 38.96 & 37.7803633803744 & 1.17963661962558 \tabularnewline
254 & 38.05 & 37.0939140306833 & 0.956085969316743 \tabularnewline
255 & 38.77 & 37.8436653916175 & 0.926334608382514 \tabularnewline
256 & 38.76 & 37.8934507224803 & 0.866549277519652 \tabularnewline
257 & 38.86 & 37.6943213250551 & 1.16567867494492 \tabularnewline
258 & 38.49 & 37.5086359283543 & 0.981364071645725 \tabularnewline
259 & 38.29 & 37.2099369816047 & 1.08006301839527 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203177&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]38.58[/C][C]39.9869288625779[/C][C]-1.4069288625779[/C][/ROW]
[ROW][C]2[/C][C]38.48[/C][C]39.8479938099525[/C][C]-1.36799380995255[/C][/ROW]
[ROW][C]3[/C][C]38.56[/C][C]40.0182887742429[/C][C]-1.45828877424293[/C][/ROW]
[ROW][C]4[/C][C]38.25[/C][C]39.2138538741512[/C][C]-0.963853874151186[/C][/ROW]
[ROW][C]5[/C][C]37.97[/C][C]38.8366074105272[/C][C]-0.866607410527207[/C][/ROW]
[ROW][C]6[/C][C]38.42[/C][C]38.877752062264[/C][C]-0.457752062264034[/C][/ROW]
[ROW][C]7[/C][C]38.6[/C][C]39.2916998893172[/C][C]-0.691699889317219[/C][/ROW]
[ROW][C]8[/C][C]38.3[/C][C]38.9282166701312[/C][C]-0.62821667013118[/C][/ROW]
[ROW][C]9[/C][C]38.22[/C][C]38.8131821513029[/C][C]-0.593182151302898[/C][/ROW]
[ROW][C]10[/C][C]38.22[/C][C]38.6206297082329[/C][C]-0.400629708232886[/C][/ROW]
[ROW][C]11[/C][C]38.22[/C][C]38.5468815413148[/C][C]-0.326881541314798[/C][/ROW]
[ROW][C]12[/C][C]36.98[/C][C]37.4852464961817[/C][C]-0.50524649618174[/C][/ROW]
[ROW][C]13[/C][C]37.43[/C][C]38.0793911043902[/C][C]-0.649391104390233[/C][/ROW]
[ROW][C]14[/C][C]37.52[/C][C]38.0772065178967[/C][C]-0.557206517896667[/C][/ROW]
[ROW][C]15[/C][C]37.98[/C][C]38.3565039578353[/C][C]-0.376503957835313[/C][/ROW]
[ROW][C]16[/C][C]37.83[/C][C]37.9304925989545[/C][C]-0.100492598954512[/C][/ROW]
[ROW][C]17[/C][C]38[/C][C]38.1230212960305[/C][C]-0.123021296030486[/C][/ROW]
[ROW][C]18[/C][C]37.7[/C][C]37.8190066048747[/C][C]-0.119006604874717[/C][/ROW]
[ROW][C]19[/C][C]37.88[/C][C]37.8563301499691[/C][C]0.0236698500309273[/C][/ROW]
[ROW][C]20[/C][C]39.02[/C][C]38.5727136006952[/C][C]0.447286399304847[/C][/ROW]
[ROW][C]21[/C][C]38.84[/C][C]38.1603939745415[/C][C]0.679606025458508[/C][/ROW]
[ROW][C]22[/C][C]39.44[/C][C]38.6813898557387[/C][C]0.758610144261293[/C][/ROW]
[ROW][C]23[/C][C]39.12[/C][C]38.5100328776033[/C][C]0.609967122396744[/C][/ROW]
[ROW][C]24[/C][C]38.82[/C][C]38.5257515195725[/C][C]0.294248480427539[/C][/ROW]
[ROW][C]25[/C][C]38.99[/C][C]38.3921406401626[/C][C]0.597859359837397[/C][/ROW]
[ROW][C]26[/C][C]38.39[/C][C]37.7961081841261[/C][C]0.593891815873943[/C][/ROW]
[ROW][C]27[/C][C]38.71[/C][C]38.1078295593539[/C][C]0.602170440646129[/C][/ROW]
[ROW][C]28[/C][C]38.43[/C][C]38.140177559878[/C][C]0.289822440121972[/C][/ROW]
[ROW][C]29[/C][C]38.67[/C][C]38.0414933155613[/C][C]0.628506684438666[/C][/ROW]
[ROW][C]30[/C][C]38.45[/C][C]37.7105684321723[/C][C]0.739431567827743[/C][/ROW]
[ROW][C]31[/C][C]39.34[/C][C]38.3749816667003[/C][C]0.96501833329975[/C][/ROW]
[ROW][C]32[/C][C]39.6[/C][C]38.6442002986545[/C][C]0.955799701345499[/C][/ROW]
[ROW][C]33[/C][C]39.84[/C][C]39.0403803561459[/C][C]0.799619643854127[/C][/ROW]
[ROW][C]34[/C][C]40[/C][C]39.1958895414095[/C][C]0.804110458590515[/C][/ROW]
[ROW][C]35[/C][C]39.55[/C][C]38.938481386013[/C][C]0.61151861398696[/C][/ROW]
[ROW][C]36[/C][C]38.5[/C][C]38.2603349653004[/C][C]0.239665034699577[/C][/ROW]
[ROW][C]37[/C][C]38.13[/C][C]38.3131434424927[/C][C]-0.183143442492677[/C][/ROW]
[ROW][C]38[/C][C]38.75[/C][C]38.7049131732348[/C][C]0.0450868267651732[/C][/ROW]
[ROW][C]39[/C][C]38.2[/C][C]38.3773828459596[/C][C]-0.177382845959548[/C][/ROW]
[ROW][C]40[/C][C]38.39[/C][C]38.7999704905993[/C][C]-0.409970490599298[/C][/ROW]
[ROW][C]41[/C][C]38.29[/C][C]38.9193577958102[/C][C]-0.6293577958102[/C][/ROW]
[ROW][C]42[/C][C]38.73[/C][C]39.4868870925839[/C][C]-0.756887092583949[/C][/ROW]
[ROW][C]43[/C][C]38.33[/C][C]38.7337002127578[/C][C]-0.403700212757797[/C][/ROW]
[ROW][C]44[/C][C]38.73[/C][C]38.6311207217401[/C][C]0.0988792782599269[/C][/ROW]
[ROW][C]45[/C][C]39.06[/C][C]38.7105940171174[/C][C]0.34940598288265[/C][/ROW]
[ROW][C]46[/C][C]39.28[/C][C]39.2022761125865[/C][C]0.0777238874135281[/C][/ROW]
[ROW][C]47[/C][C]38.6[/C][C]38.2651660181782[/C][C]0.334833981821775[/C][/ROW]
[ROW][C]48[/C][C]39.68[/C][C]39.2080510706676[/C][C]0.471948929332411[/C][/ROW]
[ROW][C]49[/C][C]39.61[/C][C]38.6002027382564[/C][C]1.00979726174361[/C][/ROW]
[ROW][C]50[/C][C]40.74[/C][C]39.543461221647[/C][C]1.19653877835303[/C][/ROW]
[ROW][C]51[/C][C]40.55[/C][C]39.4670494222662[/C][C]1.08295057773381[/C][/ROW]
[ROW][C]52[/C][C]40.8[/C][C]40.0811321717173[/C][C]0.71886782828266[/C][/ROW]
[ROW][C]53[/C][C]40.81[/C][C]39.3744030299208[/C][C]1.43559697007916[/C][/ROW]
[ROW][C]54[/C][C]41.47[/C][C]40.1037672512885[/C][C]1.36623274871149[/C][/ROW]
[ROW][C]55[/C][C]41[/C][C]40.0296776369244[/C][C]0.970322363075649[/C][/ROW]
[ROW][C]56[/C][C]41.42[/C][C]40.170927377087[/C][C]1.24907262291299[/C][/ROW]
[ROW][C]57[/C][C]41.84[/C][C]40.6128140146315[/C][C]1.22718598536855[/C][/ROW]
[ROW][C]58[/C][C]40.89[/C][C]40.0065041194537[/C][C]0.883495880546291[/C][/ROW]
[ROW][C]59[/C][C]41.05[/C][C]40.2042121575613[/C][C]0.845787842438748[/C][/ROW]
[ROW][C]60[/C][C]41.2[/C][C]40.2260590040802[/C][C]0.973940995919798[/C][/ROW]
[ROW][C]61[/C][C]40.45[/C][C]40.0901620460288[/C][C]0.359837953971224[/C][/ROW]
[ROW][C]62[/C][C]40.55[/C][C]40.2940442735484[/C][C]0.255955726451647[/C][/ROW]
[ROW][C]63[/C][C]40.5[/C][C]40.2840055228848[/C][C]0.215994477115179[/C][/ROW]
[ROW][C]64[/C][C]39.23[/C][C]39.2120057790724[/C][C]0.0179942209275707[/C][/ROW]
[ROW][C]65[/C][C]39.42[/C][C]39.0693481904988[/C][C]0.350651809501203[/C][/ROW]
[ROW][C]66[/C][C]40.05[/C][C]40.1801543297506[/C][C]-0.130154329750639[/C][/ROW]
[ROW][C]67[/C][C]39.7[/C][C]39.993761483883[/C][C]-0.293761483882973[/C][/ROW]
[ROW][C]68[/C][C]39.17[/C][C]39.8046571945316[/C][C]-0.634657194531556[/C][/ROW]
[ROW][C]69[/C][C]39.42[/C][C]40.1595131100433[/C][C]-0.73951311004334[/C][/ROW]
[ROW][C]70[/C][C]39.24[/C][C]40.383636920294[/C][C]-1.14363692029401[/C][/ROW]
[ROW][C]71[/C][C]39.6[/C][C]40.5194530393924[/C][C]-0.919453039392386[/C][/ROW]
[ROW][C]72[/C][C]39.38[/C][C]40.2154522238957[/C][C]-0.835452223895706[/C][/ROW]
[ROW][C]73[/C][C]39.38[/C][C]39.9895408950369[/C][C]-0.609540895036942[/C][/ROW]
[ROW][C]74[/C][C]39.8[/C][C]40.3048575823273[/C][C]-0.504857582327343[/C][/ROW]
[ROW][C]75[/C][C]40.45[/C][C]40.84885389802[/C][C]-0.398853898019995[/C][/ROW]
[ROW][C]76[/C][C]40.45[/C][C]40.2744151631913[/C][C]0.175584836808651[/C][/ROW]
[ROW][C]77[/C][C]40.38[/C][C]40.4223835051513[/C][C]-0.0423835051513307[/C][/ROW]
[ROW][C]78[/C][C]40.25[/C][C]40.216253994744[/C][C]0.0337460052559592[/C][/ROW]
[ROW][C]79[/C][C]40.03[/C][C]40.1375075145446[/C][C]-0.107507514544574[/C][/ROW]
[ROW][C]80[/C][C]40[/C][C]39.9821104405964[/C][C]0.0178895594035808[/C][/ROW]
[ROW][C]81[/C][C]39.76[/C][C]39.8439859238109[/C][C]-0.083985923810947[/C][/ROW]
[ROW][C]82[/C][C]39.96[/C][C]39.8242748939435[/C][C]0.135725106056538[/C][/ROW]
[ROW][C]83[/C][C]40[/C][C]40.2162792999857[/C][C]-0.216279299985681[/C][/ROW]
[ROW][C]84[/C][C]39.9[/C][C]40.230093503097[/C][C]-0.330093503097016[/C][/ROW]
[ROW][C]85[/C][C]39.76[/C][C]40.1684318013078[/C][C]-0.408431801307779[/C][/ROW]
[ROW][C]86[/C][C]38.9[/C][C]39.781832162899[/C][C]-0.88183216289898[/C][/ROW]
[ROW][C]87[/C][C]38.92[/C][C]39.4628779604446[/C][C]-0.54287796044458[/C][/ROW]
[ROW][C]88[/C][C]37.34[/C][C]37.9164229295918[/C][C]-0.576422929591797[/C][/ROW]
[ROW][C]89[/C][C]37.99[/C][C]39.0172453327061[/C][C]-1.02724533270611[/C][/ROW]
[ROW][C]90[/C][C]37.6[/C][C]38.6011528851053[/C][C]-1.00115288510529[/C][/ROW]
[ROW][C]91[/C][C]37.45[/C][C]38.8264448479826[/C][C]-1.37644484798254[/C][/ROW]
[ROW][C]92[/C][C]37.35[/C][C]38.3071244607783[/C][C]-0.957124460778273[/C][/ROW]
[ROW][C]93[/C][C]36.12[/C][C]37.6547626612372[/C][C]-1.5347626612372[/C][/ROW]
[ROW][C]94[/C][C]34.83[/C][C]36.3428686558778[/C][C]-1.51286865587775[/C][/ROW]
[ROW][C]95[/C][C]34.83[/C][C]36.1201678191516[/C][C]-1.29016781915159[/C][/ROW]
[ROW][C]96[/C][C]35.39[/C][C]36.2262109413737[/C][C]-0.83621094137372[/C][/ROW]
[ROW][C]97[/C][C]36.05[/C][C]36.9670820633508[/C][C]-0.917082063350762[/C][/ROW]
[ROW][C]98[/C][C]36.66[/C][C]37.803836925734[/C][C]-1.14383692573399[/C][/ROW]
[ROW][C]99[/C][C]36.54[/C][C]37.4921610345774[/C][C]-0.952161034577401[/C][/ROW]
[ROW][C]100[/C][C]35.87[/C][C]36.9149124208835[/C][C]-1.04491242088348[/C][/ROW]
[ROW][C]101[/C][C]36.01[/C][C]36.9059473158834[/C][C]-0.895947315883391[/C][/ROW]
[ROW][C]102[/C][C]36.03[/C][C]36.9129030749942[/C][C]-0.882903074994183[/C][/ROW]
[ROW][C]103[/C][C]35.63[/C][C]36.2820534344668[/C][C]-0.652053434466814[/C][/ROW]
[ROW][C]104[/C][C]36.04[/C][C]36.3381928495717[/C][C]-0.29819284957169[/C][/ROW]
[ROW][C]105[/C][C]35.96[/C][C]36.5786275266156[/C][C]-0.618627526615625[/C][/ROW]
[ROW][C]106[/C][C]35.94[/C][C]35.9021329777603[/C][C]0.0378670222397089[/C][/ROW]
[ROW][C]107[/C][C]36.06[/C][C]36.3546260411568[/C][C]-0.294626041156832[/C][/ROW]
[ROW][C]108[/C][C]36.52[/C][C]36.7808123930046[/C][C]-0.26081239300462[/C][/ROW]
[ROW][C]109[/C][C]36.91[/C][C]37.3878782331135[/C][C]-0.477878233113474[/C][/ROW]
[ROW][C]110[/C][C]37.05[/C][C]37.4788884654459[/C][C]-0.428888465445945[/C][/ROW]
[ROW][C]111[/C][C]35.98[/C][C]37.24173135615[/C][C]-1.26173135614998[/C][/ROW]
[ROW][C]112[/C][C]35.5[/C][C]36.6328950508901[/C][C]-1.13289505089014[/C][/ROW]
[ROW][C]113[/C][C]34.04[/C][C]35.0723000899815[/C][C]-1.03230008998152[/C][/ROW]
[ROW][C]114[/C][C]34.2[/C][C]35.141082763779[/C][C]-0.941082763778999[/C][/ROW]
[ROW][C]115[/C][C]33.63[/C][C]34.5804539357212[/C][C]-0.950453935721178[/C][/ROW]
[ROW][C]116[/C][C]33.84[/C][C]35.1037545326789[/C][C]-1.2637545326789[/C][/ROW]
[ROW][C]117[/C][C]34.41[/C][C]35.9121373290166[/C][C]-1.50213732901662[/C][/ROW]
[ROW][C]118[/C][C]34.84[/C][C]36.4478082130441[/C][C]-1.60780821304413[/C][/ROW]
[ROW][C]119[/C][C]35.2[/C][C]36.2583767010331[/C][C]-1.05837670103305[/C][/ROW]
[ROW][C]120[/C][C]35.3[/C][C]36.0631974205381[/C][C]-0.763197420538064[/C][/ROW]
[ROW][C]121[/C][C]34.8[/C][C]35.3020222132719[/C][C]-0.502022213271923[/C][/ROW]
[ROW][C]122[/C][C]35.43[/C][C]35.3737324908606[/C][C]0.0562675091394129[/C][/ROW]
[ROW][C]123[/C][C]34.88[/C][C]34.7266247244126[/C][C]0.153375275587443[/C][/ROW]
[ROW][C]124[/C][C]34.81[/C][C]34.482156591116[/C][C]0.327843408883999[/C][/ROW]
[ROW][C]125[/C][C]34.83[/C][C]34.6568152087603[/C][C]0.173184791239719[/C][/ROW]
[ROW][C]126[/C][C]34.7[/C][C]34.4006913032269[/C][C]0.299308696773128[/C][/ROW]
[ROW][C]127[/C][C]34.59[/C][C]34.541183225947[/C][C]0.0488167740530286[/C][/ROW]
[ROW][C]128[/C][C]34.77[/C][C]34.5852619909444[/C][C]0.184738009055584[/C][/ROW]
[ROW][C]129[/C][C]34.8[/C][C]34.4845844488103[/C][C]0.315415551189671[/C][/ROW]
[ROW][C]130[/C][C]34.32[/C][C]34.413661442088[/C][C]-0.093661442087973[/C][/ROW]
[ROW][C]131[/C][C]33.96[/C][C]34.1594688879646[/C][C]-0.199468887964586[/C][/ROW]
[ROW][C]132[/C][C]34[/C][C]34.1979067706333[/C][C]-0.197906770633254[/C][/ROW]
[ROW][C]133[/C][C]34.77[/C][C]34.0343719083468[/C][C]0.735628091653238[/C][/ROW]
[ROW][C]134[/C][C]34.53[/C][C]34.2678959835133[/C][C]0.262104016486653[/C][/ROW]
[ROW][C]135[/C][C]35.2[/C][C]35.1012087071345[/C][C]0.0987912928655252[/C][/ROW]
[ROW][C]136[/C][C]35.06[/C][C]33.5523712556353[/C][C]1.5076287443647[/C][/ROW]
[ROW][C]137[/C][C]35.18[/C][C]33.8663484796869[/C][C]1.31365152031314[/C][/ROW]
[ROW][C]138[/C][C]35[/C][C]33.5784218994827[/C][C]1.42157810051733[/C][/ROW]
[ROW][C]139[/C][C]34.49[/C][C]33.3105967933464[/C][C]1.17940320665356[/C][/ROW]
[ROW][C]140[/C][C]35.15[/C][C]34.1908632697792[/C][C]0.95913673022078[/C][/ROW]
[ROW][C]141[/C][C]34.59[/C][C]33.694399470789[/C][C]0.895600529211054[/C][/ROW]
[ROW][C]142[/C][C]34.65[/C][C]33.435121369469[/C][C]1.21487863053105[/C][/ROW]
[ROW][C]143[/C][C]34.59[/C][C]33.8285536009249[/C][C]0.761446399075078[/C][/ROW]
[ROW][C]144[/C][C]34.92[/C][C]34.7406457631067[/C][C]0.179354236893309[/C][/ROW]
[ROW][C]145[/C][C]34.37[/C][C]34.3710968961763[/C][C]-0.00109689617634932[/C][/ROW]
[ROW][C]146[/C][C]34.47[/C][C]34.7373346109086[/C][C]-0.267334610908573[/C][/ROW]
[ROW][C]147[/C][C]35.13[/C][C]35.3506999027829[/C][C]-0.220699902782864[/C][/ROW]
[ROW][C]148[/C][C]35.15[/C][C]35.3573104234853[/C][C]-0.207310423485261[/C][/ROW]
[ROW][C]149[/C][C]34.48[/C][C]34.8820143363655[/C][C]-0.402014336365464[/C][/ROW]
[ROW][C]150[/C][C]34.91[/C][C]34.9989685719897[/C][C]-0.0889685719896729[/C][/ROW]
[ROW][C]151[/C][C]35.95[/C][C]35.6153516900056[/C][C]0.334648309994369[/C][/ROW]
[ROW][C]152[/C][C]35.52[/C][C]35.736492578803[/C][C]-0.216492578802962[/C][/ROW]
[ROW][C]153[/C][C]36.16[/C][C]36.1015475343023[/C][C]0.0584524656976786[/C][/ROW]
[ROW][C]154[/C][C]36.15[/C][C]36.2287495112991[/C][C]-0.0787495112990582[/C][/ROW]
[ROW][C]155[/C][C]36.07[/C][C]36.3608361228558[/C][C]-0.290836122855769[/C][/ROW]
[ROW][C]156[/C][C]36.5[/C][C]36.7753091294625[/C][C]-0.275309129462503[/C][/ROW]
[ROW][C]157[/C][C]36.51[/C][C]36.2977598607146[/C][C]0.212240139285403[/C][/ROW]
[ROW][C]158[/C][C]36.23[/C][C]35.976636575755[/C][C]0.25336342424496[/C][/ROW]
[ROW][C]159[/C][C]35.91[/C][C]35.5129390129361[/C][C]0.397060987063875[/C][/ROW]
[ROW][C]160[/C][C]35.56[/C][C]35.3058604038653[/C][C]0.254139596134732[/C][/ROW]
[ROW][C]161[/C][C]36.45[/C][C]36.2985762360256[/C][C]0.151423763974357[/C][/ROW]
[ROW][C]162[/C][C]36.34[/C][C]36.5700603515414[/C][C]-0.230060351541378[/C][/ROW]
[ROW][C]163[/C][C]37.32[/C][C]37.2899624952903[/C][C]0.0300375047097059[/C][/ROW]
[ROW][C]164[/C][C]37.47[/C][C]37.7949725000918[/C][C]-0.324972500091793[/C][/ROW]
[ROW][C]165[/C][C]36.98[/C][C]36.8764145356598[/C][C]0.1035854643402[/C][/ROW]
[ROW][C]166[/C][C]36.42[/C][C]36.8944988463184[/C][C]-0.47449884631837[/C][/ROW]
[ROW][C]167[/C][C]37.04[/C][C]37.6777045400244[/C][C]-0.637704540024433[/C][/ROW]
[ROW][C]168[/C][C]37.15[/C][C]37.4643846211915[/C][C]-0.314384621191548[/C][/ROW]
[ROW][C]169[/C][C]37.13[/C][C]37.4724431473726[/C][C]-0.342443147372576[/C][/ROW]
[ROW][C]170[/C][C]38.21[/C][C]38.2675182838007[/C][C]-0.057518283800736[/C][/ROW]
[ROW][C]171[/C][C]37.91[/C][C]38.1963999383675[/C][C]-0.286399938367465[/C][/ROW]
[ROW][C]172[/C][C]38.4[/C][C]39.3879620661265[/C][C]-0.987962066126523[/C][/ROW]
[ROW][C]173[/C][C]39.12[/C][C]39.8136191115893[/C][C]-0.693619111589321[/C][/ROW]
[ROW][C]174[/C][C]38.05[/C][C]39.3915815685749[/C][C]-1.34158156857489[/C][/ROW]
[ROW][C]175[/C][C]37.83[/C][C]39.2149347982999[/C][C]-1.38493479829989[/C][/ROW]
[ROW][C]176[/C][C]38.02[/C][C]39.8132507397624[/C][C]-1.79325073976238[/C][/ROW]
[ROW][C]177[/C][C]38.43[/C][C]40.268597252531[/C][C]-1.83859725253103[/C][/ROW]
[ROW][C]178[/C][C]40.94[/C][C]40.8665419260831[/C][C]0.0734580739169431[/C][/ROW]
[ROW][C]179[/C][C]40.75[/C][C]40.6864822357201[/C][C]0.0635177642798479[/C][/ROW]
[ROW][C]180[/C][C]41.06[/C][C]40.7250922040082[/C][C]0.334907795991808[/C][/ROW]
[ROW][C]181[/C][C]41.69[/C][C]41.4034504820286[/C][C]0.286549517971363[/C][/ROW]
[ROW][C]182[/C][C]41.73[/C][C]41.1410539698237[/C][C]0.588946030176325[/C][/ROW]
[ROW][C]183[/C][C]42.34[/C][C]42.0291562685865[/C][C]0.310843731413476[/C][/ROW]
[ROW][C]184[/C][C]42.54[/C][C]42.8776485340913[/C][C]-0.337648534091254[/C][/ROW]
[ROW][C]185[/C][C]42.5[/C][C]43.1123882550755[/C][C]-0.612388255075535[/C][/ROW]
[ROW][C]186[/C][C]42.78[/C][C]42.9803479450122[/C][C]-0.200347945012227[/C][/ROW]
[ROW][C]187[/C][C]42.65[/C][C]42.6461692458401[/C][C]0.00383075415992009[/C][/ROW]
[ROW][C]188[/C][C]42[/C][C]41.938377067522[/C][C]0.0616229324780011[/C][/ROW]
[ROW][C]189[/C][C]42.3[/C][C]41.9660450272583[/C][C]0.333954972741674[/C][/ROW]
[ROW][C]190[/C][C]42.02[/C][C]41.9074518729485[/C][C]0.112548127051527[/C][/ROW]
[ROW][C]191[/C][C]41.52[/C][C]41.0822569897774[/C][C]0.437743010222633[/C][/ROW]
[ROW][C]192[/C][C]41.77[/C][C]40.585546504951[/C][C]1.18445349504905[/C][/ROW]
[ROW][C]193[/C][C]42.43[/C][C]41.9066181478837[/C][C]0.523381852116323[/C][/ROW]
[ROW][C]194[/C][C]42.43[/C][C]42.0789869587081[/C][C]0.351013041291861[/C][/ROW]
[ROW][C]195[/C][C]42.48[/C][C]41.931679125215[/C][C]0.548320874784966[/C][/ROW]
[ROW][C]196[/C][C]42.01[/C][C]41.4689884334282[/C][C]0.541011566571756[/C][/ROW]
[ROW][C]197[/C][C]41.99[/C][C]41.7171719669149[/C][C]0.272828033085103[/C][/ROW]
[ROW][C]198[/C][C]42.01[/C][C]41.3440015069239[/C][C]0.665998493076088[/C][/ROW]
[ROW][C]199[/C][C]42.05[/C][C]41.3235041220179[/C][C]0.726495877982098[/C][/ROW]
[ROW][C]200[/C][C]41.84[/C][C]40.9896384960206[/C][C]0.850361503979359[/C][/ROW]
[ROW][C]201[/C][C]41.79[/C][C]41.2540905366569[/C][C]0.535909463343115[/C][/ROW]
[ROW][C]202[/C][C]41.82[/C][C]41.4416080619092[/C][C]0.378391938090774[/C][/ROW]
[ROW][C]203[/C][C]41.87[/C][C]41.2342064499941[/C][C]0.635793550005904[/C][/ROW]
[ROW][C]204[/C][C]41.66[/C][C]41.0150729318997[/C][C]0.644927068100333[/C][/ROW]
[ROW][C]205[/C][C]41.19[/C][C]40.4393190131149[/C][C]0.750680986885049[/C][/ROW]
[ROW][C]206[/C][C]40.99[/C][C]40.5377254532268[/C][C]0.452274546773177[/C][/ROW]
[ROW][C]207[/C][C]41.15[/C][C]40.2313989157467[/C][C]0.918601084253267[/C][/ROW]
[ROW][C]208[/C][C]40.95[/C][C]40.5611607162338[/C][C]0.388839283766238[/C][/ROW]
[ROW][C]209[/C][C]40.67[/C][C]40.5595542906647[/C][C]0.110445709335342[/C][/ROW]
[ROW][C]210[/C][C]41.1[/C][C]40.8561137130758[/C][C]0.243886286924187[/C][/ROW]
[ROW][C]211[/C][C]40.88[/C][C]40.6429409724426[/C][C]0.237059027557381[/C][/ROW]
[ROW][C]212[/C][C]40.93[/C][C]40.6585535576876[/C][C]0.27144644231236[/C][/ROW]
[ROW][C]213[/C][C]40.89[/C][C]41.0428028865249[/C][C]-0.152802886524881[/C][/ROW]
[ROW][C]214[/C][C]40.97[/C][C]41.6714436281355[/C][C]-0.701443628135529[/C][/ROW]
[ROW][C]215[/C][C]40.87[/C][C]41.2152179500539[/C][C]-0.34521795005392[/C][/ROW]
[ROW][C]216[/C][C]40.56[/C][C]41.0626878491012[/C][C]-0.502687849101192[/C][/ROW]
[ROW][C]217[/C][C]40.47[/C][C]40.282021061023[/C][C]0.187978938976992[/C][/ROW]
[ROW][C]218[/C][C]40.01[/C][C]39.8018977121081[/C][C]0.208102287891904[/C][/ROW]
[ROW][C]219[/C][C]40.23[/C][C]40.6188586286451[/C][C]-0.388858628645063[/C][/ROW]
[ROW][C]220[/C][C]40.45[/C][C]40.890012249221[/C][C]-0.440012249221012[/C][/ROW]
[ROW][C]221[/C][C]40.3[/C][C]40.6554266071102[/C][C]-0.355426607110186[/C][/ROW]
[ROW][C]222[/C][C]40.38[/C][C]40.6335079832618[/C][C]-0.253507983261781[/C][/ROW]
[ROW][C]223[/C][C]39.95[/C][C]40.6546357607611[/C][C]-0.704635760761071[/C][/ROW]
[ROW][C]224[/C][C]39.74[/C][C]40.2166815696507[/C][C]-0.47668156965067[/C][/ROW]
[ROW][C]225[/C][C]40.37[/C][C]40.2902830892378[/C][C]0.0797169107622399[/C][/ROW]
[ROW][C]226[/C][C]40.05[/C][C]40.0065101203548[/C][C]0.0434898796452327[/C][/ROW]
[ROW][C]227[/C][C]40.14[/C][C]40.0933832901435[/C][C]0.0466167098565104[/C][/ROW]
[ROW][C]228[/C][C]39.42[/C][C]39.7123990478956[/C][C]-0.29239904789555[/C][/ROW]
[ROW][C]229[/C][C]38.97[/C][C]39.3445966341629[/C][C]-0.374596634162861[/C][/ROW]
[ROW][C]230[/C][C]39.06[/C][C]39.2785336338679[/C][C]-0.218533633867918[/C][/ROW]
[ROW][C]231[/C][C]39.86[/C][C]39.2983666266255[/C][C]0.561633373374514[/C][/ROW]
[ROW][C]232[/C][C]40.49[/C][C]39.1843266786217[/C][C]1.30567332137827[/C][/ROW]
[ROW][C]233[/C][C]39.99[/C][C]38.8174909713135[/C][C]1.17250902868654[/C][/ROW]
[ROW][C]234[/C][C]39.94[/C][C]38.6958328442666[/C][C]1.24416715573339[/C][/ROW]
[ROW][C]235[/C][C]39.97[/C][C]38.7176287629839[/C][C]1.25237123701613[/C][/ROW]
[ROW][C]236[/C][C]40.21[/C][C]39.486445666042[/C][C]0.723554333958008[/C][/ROW]
[ROW][C]237[/C][C]40.39[/C][C]39.8325674052649[/C][C]0.557432594735149[/C][/ROW]
[ROW][C]238[/C][C]39.95[/C][C]39.7470030540489[/C][C]0.202996945951115[/C][/ROW]
[ROW][C]239[/C][C]39.46[/C][C]39.3730353345816[/C][C]0.0869646654184475[/C][/ROW]
[ROW][C]240[/C][C]39.07[/C][C]39.2485040005259[/C][C]-0.178504000525945[/C][/ROW]
[ROW][C]241[/C][C]38.64[/C][C]38.6110354288127[/C][C]0.0289645711872983[/C][/ROW]
[ROW][C]242[/C][C]38.96[/C][C]38.7516279799321[/C][C]0.208372020067869[/C][/ROW]
[ROW][C]243[/C][C]38.57[/C][C]38.3223184261956[/C][C]0.247681573804449[/C][/ROW]
[ROW][C]244[/C][C]37.84[/C][C]38.0324738867658[/C][C]-0.192473886765749[/C][/ROW]
[ROW][C]245[/C][C]37.36[/C][C]37.4541659293674[/C][C]-0.0941659293674083[/C][/ROW]
[ROW][C]246[/C][C]37.08[/C][C]37.6723078927333[/C][C]-0.592307892733285[/C][/ROW]
[ROW][C]247[/C][C]36.45[/C][C]36.7365443791937[/C][C]-0.286544379193736[/C][/ROW]
[ROW][C]248[/C][C]37.02[/C][C]36.2464444172315[/C][C]0.773555582768463[/C][/ROW]
[ROW][C]249[/C][C]37.68[/C][C]36.5522767485021[/C][C]1.12772325149792[/C][/ROW]
[ROW][C]250[/C][C]37.67[/C][C]36.3799991690048[/C][C]1.2900008309952[/C][/ROW]
[ROW][C]251[/C][C]38.55[/C][C]37.4051777165696[/C][C]1.14482228343039[/C][/ROW]
[ROW][C]252[/C][C]38.16[/C][C]37.191241639513[/C][C]0.968758360487037[/C][/ROW]
[ROW][C]253[/C][C]38.96[/C][C]37.7803633803744[/C][C]1.17963661962558[/C][/ROW]
[ROW][C]254[/C][C]38.05[/C][C]37.0939140306833[/C][C]0.956085969316743[/C][/ROW]
[ROW][C]255[/C][C]38.77[/C][C]37.8436653916175[/C][C]0.926334608382514[/C][/ROW]
[ROW][C]256[/C][C]38.76[/C][C]37.8934507224803[/C][C]0.866549277519652[/C][/ROW]
[ROW][C]257[/C][C]38.86[/C][C]37.6943213250551[/C][C]1.16567867494492[/C][/ROW]
[ROW][C]258[/C][C]38.49[/C][C]37.5086359283543[/C][C]0.981364071645725[/C][/ROW]
[ROW][C]259[/C][C]38.29[/C][C]37.2099369816047[/C][C]1.08006301839527[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203177&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203177&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
138.5839.9869288625779-1.4069288625779
238.4839.8479938099525-1.36799380995255
338.5640.0182887742429-1.45828877424293
438.2539.2138538741512-0.963853874151186
537.9738.8366074105272-0.866607410527207
638.4238.877752062264-0.457752062264034
738.639.2916998893172-0.691699889317219
838.338.9282166701312-0.62821667013118
938.2238.8131821513029-0.593182151302898
1038.2238.6206297082329-0.400629708232886
1138.2238.5468815413148-0.326881541314798
1236.9837.4852464961817-0.50524649618174
1337.4338.0793911043902-0.649391104390233
1437.5238.0772065178967-0.557206517896667
1537.9838.3565039578353-0.376503957835313
1637.8337.9304925989545-0.100492598954512
173838.1230212960305-0.123021296030486
1837.737.8190066048747-0.119006604874717
1937.8837.85633014996910.0236698500309273
2039.0238.57271360069520.447286399304847
2138.8438.16039397454150.679606025458508
2239.4438.68138985573870.758610144261293
2339.1238.51003287760330.609967122396744
2438.8238.52575151957250.294248480427539
2538.9938.39214064016260.597859359837397
2638.3937.79610818412610.593891815873943
2738.7138.10782955935390.602170440646129
2838.4338.1401775598780.289822440121972
2938.6738.04149331556130.628506684438666
3038.4537.71056843217230.739431567827743
3139.3438.37498166670030.96501833329975
3239.638.64420029865450.955799701345499
3339.8439.04038035614590.799619643854127
344039.19588954140950.804110458590515
3539.5538.9384813860130.61151861398696
3638.538.26033496530040.239665034699577
3738.1338.3131434424927-0.183143442492677
3838.7538.70491317323480.0450868267651732
3938.238.3773828459596-0.177382845959548
4038.3938.7999704905993-0.409970490599298
4138.2938.9193577958102-0.6293577958102
4238.7339.4868870925839-0.756887092583949
4338.3338.7337002127578-0.403700212757797
4438.7338.63112072174010.0988792782599269
4539.0638.71059401711740.34940598288265
4639.2839.20227611258650.0777238874135281
4738.638.26516601817820.334833981821775
4839.6839.20805107066760.471948929332411
4939.6138.60020273825641.00979726174361
5040.7439.5434612216471.19653877835303
5140.5539.46704942226621.08295057773381
5240.840.08113217171730.71886782828266
5340.8139.37440302992081.43559697007916
5441.4740.10376725128851.36623274871149
554140.02967763692440.970322363075649
5641.4240.1709273770871.24907262291299
5741.8440.61281401463151.22718598536855
5840.8940.00650411945370.883495880546291
5941.0540.20421215756130.845787842438748
6041.240.22605900408020.973940995919798
6140.4540.09016204602880.359837953971224
6240.5540.29404427354840.255955726451647
6340.540.28400552288480.215994477115179
6439.2339.21200577907240.0179942209275707
6539.4239.06934819049880.350651809501203
6640.0540.1801543297506-0.130154329750639
6739.739.993761483883-0.293761483882973
6839.1739.8046571945316-0.634657194531556
6939.4240.1595131100433-0.73951311004334
7039.2440.383636920294-1.14363692029401
7139.640.5194530393924-0.919453039392386
7239.3840.2154522238957-0.835452223895706
7339.3839.9895408950369-0.609540895036942
7439.840.3048575823273-0.504857582327343
7540.4540.84885389802-0.398853898019995
7640.4540.27441516319130.175584836808651
7740.3840.4223835051513-0.0423835051513307
7840.2540.2162539947440.0337460052559592
7940.0340.1375075145446-0.107507514544574
804039.98211044059640.0178895594035808
8139.7639.8439859238109-0.083985923810947
8239.9639.82427489394350.135725106056538
834040.2162792999857-0.216279299985681
8439.940.230093503097-0.330093503097016
8539.7640.1684318013078-0.408431801307779
8638.939.781832162899-0.88183216289898
8738.9239.4628779604446-0.54287796044458
8837.3437.9164229295918-0.576422929591797
8937.9939.0172453327061-1.02724533270611
9037.638.6011528851053-1.00115288510529
9137.4538.8264448479826-1.37644484798254
9237.3538.3071244607783-0.957124460778273
9336.1237.6547626612372-1.5347626612372
9434.8336.3428686558778-1.51286865587775
9534.8336.1201678191516-1.29016781915159
9635.3936.2262109413737-0.83621094137372
9736.0536.9670820633508-0.917082063350762
9836.6637.803836925734-1.14383692573399
9936.5437.4921610345774-0.952161034577401
10035.8736.9149124208835-1.04491242088348
10136.0136.9059473158834-0.895947315883391
10236.0336.9129030749942-0.882903074994183
10335.6336.2820534344668-0.652053434466814
10436.0436.3381928495717-0.29819284957169
10535.9636.5786275266156-0.618627526615625
10635.9435.90213297776030.0378670222397089
10736.0636.3546260411568-0.294626041156832
10836.5236.7808123930046-0.26081239300462
10936.9137.3878782331135-0.477878233113474
11037.0537.4788884654459-0.428888465445945
11135.9837.24173135615-1.26173135614998
11235.536.6328950508901-1.13289505089014
11334.0435.0723000899815-1.03230008998152
11434.235.141082763779-0.941082763778999
11533.6334.5804539357212-0.950453935721178
11633.8435.1037545326789-1.2637545326789
11734.4135.9121373290166-1.50213732901662
11834.8436.4478082130441-1.60780821304413
11935.236.2583767010331-1.05837670103305
12035.336.0631974205381-0.763197420538064
12134.835.3020222132719-0.502022213271923
12235.4335.37373249086060.0562675091394129
12334.8834.72662472441260.153375275587443
12434.8134.4821565911160.327843408883999
12534.8334.65681520876030.173184791239719
12634.734.40069130322690.299308696773128
12734.5934.5411832259470.0488167740530286
12834.7734.58526199094440.184738009055584
12934.834.48458444881030.315415551189671
13034.3234.413661442088-0.093661442087973
13133.9634.1594688879646-0.199468887964586
1323434.1979067706333-0.197906770633254
13334.7734.03437190834680.735628091653238
13434.5334.26789598351330.262104016486653
13535.235.10120870713450.0987912928655252
13635.0633.55237125563531.5076287443647
13735.1833.86634847968691.31365152031314
1383533.57842189948271.42157810051733
13934.4933.31059679334641.17940320665356
14035.1534.19086326977920.95913673022078
14134.5933.6943994707890.895600529211054
14234.6533.4351213694691.21487863053105
14334.5933.82855360092490.761446399075078
14434.9234.74064576310670.179354236893309
14534.3734.3710968961763-0.00109689617634932
14634.4734.7373346109086-0.267334610908573
14735.1335.3506999027829-0.220699902782864
14835.1535.3573104234853-0.207310423485261
14934.4834.8820143363655-0.402014336365464
15034.9134.9989685719897-0.0889685719896729
15135.9535.61535169000560.334648309994369
15235.5235.736492578803-0.216492578802962
15336.1636.10154753430230.0584524656976786
15436.1536.2287495112991-0.0787495112990582
15536.0736.3608361228558-0.290836122855769
15636.536.7753091294625-0.275309129462503
15736.5136.29775986071460.212240139285403
15836.2335.9766365757550.25336342424496
15935.9135.51293901293610.397060987063875
16035.5635.30586040386530.254139596134732
16136.4536.29857623602560.151423763974357
16236.3436.5700603515414-0.230060351541378
16337.3237.28996249529030.0300375047097059
16437.4737.7949725000918-0.324972500091793
16536.9836.87641453565980.1035854643402
16636.4236.8944988463184-0.47449884631837
16737.0437.6777045400244-0.637704540024433
16837.1537.4643846211915-0.314384621191548
16937.1337.4724431473726-0.342443147372576
17038.2138.2675182838007-0.057518283800736
17137.9138.1963999383675-0.286399938367465
17238.439.3879620661265-0.987962066126523
17339.1239.8136191115893-0.693619111589321
17438.0539.3915815685749-1.34158156857489
17537.8339.2149347982999-1.38493479829989
17638.0239.8132507397624-1.79325073976238
17738.4340.268597252531-1.83859725253103
17840.9440.86654192608310.0734580739169431
17940.7540.68648223572010.0635177642798479
18041.0640.72509220400820.334907795991808
18141.6941.40345048202860.286549517971363
18241.7341.14105396982370.588946030176325
18342.3442.02915626858650.310843731413476
18442.5442.8776485340913-0.337648534091254
18542.543.1123882550755-0.612388255075535
18642.7842.9803479450122-0.200347945012227
18742.6542.64616924584010.00383075415992009
1884241.9383770675220.0616229324780011
18942.341.96604502725830.333954972741674
19042.0241.90745187294850.112548127051527
19141.5241.08225698977740.437743010222633
19241.7740.5855465049511.18445349504905
19342.4341.90661814788370.523381852116323
19442.4342.07898695870810.351013041291861
19542.4841.9316791252150.548320874784966
19642.0141.46898843342820.541011566571756
19741.9941.71717196691490.272828033085103
19842.0141.34400150692390.665998493076088
19942.0541.32350412201790.726495877982098
20041.8440.98963849602060.850361503979359
20141.7941.25409053665690.535909463343115
20241.8241.44160806190920.378391938090774
20341.8741.23420644999410.635793550005904
20441.6641.01507293189970.644927068100333
20541.1940.43931901311490.750680986885049
20640.9940.53772545322680.452274546773177
20741.1540.23139891574670.918601084253267
20840.9540.56116071623380.388839283766238
20940.6740.55955429066470.110445709335342
21041.140.85611371307580.243886286924187
21140.8840.64294097244260.237059027557381
21240.9340.65855355768760.27144644231236
21340.8941.0428028865249-0.152802886524881
21440.9741.6714436281355-0.701443628135529
21540.8741.2152179500539-0.34521795005392
21640.5641.0626878491012-0.502687849101192
21740.4740.2820210610230.187978938976992
21840.0139.80189771210810.208102287891904
21940.2340.6188586286451-0.388858628645063
22040.4540.890012249221-0.440012249221012
22140.340.6554266071102-0.355426607110186
22240.3840.6335079832618-0.253507983261781
22339.9540.6546357607611-0.704635760761071
22439.7440.2166815696507-0.47668156965067
22540.3740.29028308923780.0797169107622399
22640.0540.00651012035480.0434898796452327
22740.1440.09338329014350.0466167098565104
22839.4239.7123990478956-0.29239904789555
22938.9739.3445966341629-0.374596634162861
23039.0639.2785336338679-0.218533633867918
23139.8639.29836662662550.561633373374514
23240.4939.18432667862171.30567332137827
23339.9938.81749097131351.17250902868654
23439.9438.69583284426661.24416715573339
23539.9738.71762876298391.25237123701613
23640.2139.4864456660420.723554333958008
23740.3939.83256740526490.557432594735149
23839.9539.74700305404890.202996945951115
23939.4639.37303533458160.0869646654184475
24039.0739.2485040005259-0.178504000525945
24138.6438.61103542881270.0289645711872983
24238.9638.75162797993210.208372020067869
24338.5738.32231842619560.247681573804449
24437.8438.0324738867658-0.192473886765749
24537.3637.4541659293674-0.0941659293674083
24637.0837.6723078927333-0.592307892733285
24736.4536.7365443791937-0.286544379193736
24837.0236.24644441723150.773555582768463
24937.6836.55227674850211.12772325149792
25037.6736.37999916900481.2900008309952
25138.5537.40517771656961.14482228343039
25238.1637.1912416395130.968758360487037
25338.9637.78036338037441.17963661962558
25438.0537.09391403068330.956085969316743
25538.7737.84366539161750.926334608382514
25638.7637.89345072248030.866549277519652
25738.8637.69432132505511.16567867494492
25838.4937.50863592835430.981364071645725
25938.2937.20993698160471.08006301839527






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
180.0358726564376410.07174531287528210.964127343562359
190.009318808790816710.01863761758163340.990681191209183
200.01492488837573710.02984977675147420.985075111624263
210.01220405116521770.02440810233043540.987795948834782
220.006719071216012550.01343814243202510.993280928783987
230.002821306938252740.005642613876505490.997178693061747
240.0236854789246720.04737095784934410.976314521075328
250.0152466799085380.0304933598170760.984753320091462
260.007418343941727410.01483668788345480.992581656058273
270.003479514639970240.006959029279940490.99652048536003
280.003720402867556520.007440805735113030.996279597132444
290.005877634803173890.01175526960634780.994122365196826
300.007963032623123140.01592606524624630.992036967376877
310.007519951644393040.01503990328878610.992480048355607
320.00499939608433290.00999879216866580.995000603915667
330.003337080340766340.006674160681532690.996662919659234
340.004200907358771540.008401814717543080.995799092641228
350.00277243529707870.005544870594157410.997227564702921
360.001528004793297140.003056009586594280.998471995206703
370.002192672617882630.004385345235765260.997807327382117
380.008689376017600580.01737875203520120.991310623982399
390.008687182749460130.01737436549892030.99131281725054
400.01012285960533530.02024571921067060.989877140394665
410.00776544239678890.01553088479357780.992234557603211
420.005824960671969730.01164992134393950.99417503932803
430.004385997006503460.008771994013006920.995614002993497
440.002879021245015730.005758042490031470.997120978754984
450.00293579019512760.005871580390255210.997064209804872
460.003439259246615150.006878518493230310.996560740753385
470.002953802468005760.005907604936011530.997046197531994
480.00833517155974630.01667034311949260.991664828440254
490.02963950125153740.05927900250307470.970360498748463
500.1548756790095550.309751358019110.845124320990445
510.3202943674231920.6405887348463830.679705632576808
520.4191094412422590.8382188824845180.580890558757741
530.5312045518625250.9375908962749510.468795448137475
540.6111221221146970.7777557557706070.388877877885303
550.5988572908246240.8022854183507510.401142709175376
560.6152908290408420.7694183419183160.384709170959158
570.6165723322875210.7668553354249590.383427667712479
580.6028498039208750.794300392158250.397150196079125
590.5942505156698260.8114989686603470.405749484330174
600.5903540825500340.8192918348999320.409645917449966
610.5690534857288510.8618930285422970.430946514271149
620.5339591241774810.9320817516450380.466040875822519
630.4967427731422060.9934855462844120.503257226857794
640.4720295738223530.9440591476447060.527970426177647
650.4678810110029470.9357620220058940.532118988997053
660.4856966130694640.9713932261389280.514303386930536
670.4890797007239820.9781594014479640.510920299276018
680.4867170802585970.9734341605171950.513282919741403
690.5033922870150120.9932154259699750.496607712984988
700.565354981426490.869290037147020.43464501857351
710.575383624453860.8492327510922790.42461637554614
720.5807787052089290.8384425895821430.419221294791071
730.5431674631350740.9136650737298510.456832536864926
740.5031448812626160.9937102374747680.496855118737384
750.460982086496730.921964172993460.53901791350327
760.4288158666145490.8576317332290980.571184133385451
770.3908967206588010.7817934413176030.609103279341199
780.3583462909264580.7166925818529150.641653709073542
790.3239464895254950.6478929790509910.676053510474504
800.2907597806464090.5815195612928180.709240219353591
810.2583879451574530.5167758903149060.741612054842547
820.2313890471795710.4627780943591420.768610952820429
830.2059211223014610.4118422446029230.794078877698539
840.1876322904585090.3752645809170170.812367709541491
850.1635763825496830.3271527650993660.836423617450317
860.1497444559902180.2994889119804360.850255544009782
870.1294916638223430.2589833276446860.870508336177657
880.1135753399865630.2271506799731270.886424660013437
890.1053324914152410.2106649828304830.894667508584759
900.09675451744449310.1935090348889860.903245482555507
910.1210691352427570.2421382704855150.878930864757243
920.114204714131180.2284094282623590.88579528586882
930.1404224050884360.2808448101768720.859577594911564
940.1443119044879750.288623808975950.855688095512025
950.1410569548821980.2821139097643970.858943045117802
960.1284028340365390.2568056680730780.871597165963461
970.1186549729696810.2373099459393620.881345027030319
980.1187421849851180.2374843699702370.881257815014882
990.1114135399450460.2228270798900910.888586460054954
1000.1079260251244790.2158520502489570.892073974875521
1010.1006515551909830.2013031103819660.899348444809017
1020.09409124168593980.188182483371880.90590875831406
1030.08509684382633470.1701936876526690.914903156173665
1040.07161210505795890.1432242101159180.928387894942041
1050.06405709961956260.1281141992391250.935942900380437
1060.05327678813503880.1065535762700780.946723211864961
1070.04455786588514730.08911573177029450.955442134114853
1080.03892158154765660.07784316309531330.961078418452343
1090.03408046419078880.06816092838157760.965919535809211
1100.02893354212046050.0578670842409210.971066457879539
1110.04162485133192720.08324970266385440.958375148668073
1120.05480775582204410.1096155116440880.945192244177956
1130.05969426868162370.1193885373632470.940305731318376
1140.06319498511913160.1263899702382630.936805014880868
1150.06822905972756610.1364581194551320.931770940272434
1160.08472446283943520.169448925678870.915275537160565
1170.1324020410275810.2648040820551620.867597958972419
1180.2131548720083160.4263097440166330.786845127991684
1190.23894753726810.4778950745362010.7610524627319
1200.2390543873551920.4781087747103840.760945612644808
1210.2460131629060390.4920263258120790.753986837093961
1220.2515251751211720.5030503502423440.748474824878828
1230.2824483140142110.5648966280284220.717551685985789
1240.2889386400174420.5778772800348830.711061359982558
1250.2752976645153940.5505953290307870.724702335484606
1260.2526841376855260.5053682753710530.747315862314474
1270.2312442267181250.4624884534362510.768755773281875
1280.2037479422758610.4074958845517230.796252057724139
1290.1797357931945180.3594715863890360.820264206805482
1300.1664283660444580.3328567320889170.833571633955542
1310.1574451580243980.3148903160487960.842554841975602
1320.1499779296298470.2999558592596940.850022070370153
1330.1523339937222210.3046679874444420.847666006277779
1340.1372719432036030.2745438864072060.862728056796397
1350.1204824775991560.2409649551983130.879517522400844
1360.1474164563289320.2948329126578650.852583543671068
1370.1694298871459860.3388597742919730.830570112854014
1380.208094738616290.4161894772325790.79190526138371
1390.2155582277304030.4311164554608070.784441772269597
1400.2314795759369920.4629591518739850.768520424063008
1410.2319331300679020.4638662601358040.768066869932098
1420.2676976541113920.5353953082227840.732302345888608
1430.2660124198084530.5320248396169050.733987580191547
1440.2441438297452230.4882876594904460.755856170254777
1450.218800327451260.4376006549025210.78119967254874
1460.199343017549610.398686035099220.80065698245039
1470.1868182225714250.3736364451428490.813181777428575
1480.1766805756443160.3533611512886320.823319424355684
1490.1838333254297120.3676666508594240.816166674570288
1500.1703656967873340.3407313935746690.829634303212666
1510.1649973076822460.3299946153644910.835002692317754
1520.147347444391390.294694888782780.85265255560861
1530.1337054499735770.2674108999471530.866294550026424
1540.1256406182777530.2512812365555060.874359381722247
1550.1175706945160470.2351413890320940.882429305483953
1560.1207665456752320.2415330913504640.879233454324768
1570.1047167563152850.2094335126305710.895283243684715
1580.09063372580129670.1812674516025930.909366274198703
1590.07802919111550590.1560583822310120.921970808884494
1600.0680001353036690.1360002706073380.931999864696331
1610.05760658843365950.1152131768673190.94239341156634
1620.04817234999265260.09634469998530520.951827650007347
1630.04016928393258650.0803385678651730.959830716067414
1640.03343117354853390.06686234709706790.966568826451466
1650.02794466023249520.05588932046499050.972055339767505
1660.02446272487913770.04892544975827530.975537275120862
1670.02467172095960610.04934344191921230.975328279040394
1680.02136010591093080.04272021182186160.978639894089069
1690.02008610013437830.04017220026875660.979913899865622
1700.01625420635082180.03250841270164370.983745793649178
1710.01468957252835640.02937914505671280.985310427471644
1720.02478468530130670.04956937060261330.975215314698693
1730.02878223450990370.05756446901980730.971217765490096
1740.08051335763422850.1610267152684570.919486642365771
1750.2102147717246370.4204295434492730.789785228275363
1760.6503701847653720.6992596304692560.349629815234628
1770.9858267517700610.02834649645987860.0141732482299393
1780.9868192127264280.02636157454714480.0131807872735724
1790.9900051976089010.01998960478219710.00999480239109856
1800.9902817135570340.01943657288593110.00971828644296553
1810.9904748950685350.01905020986292930.00952510493146463
1820.9900333413072130.01993331738557330.00996665869278665
1830.9897407403693420.0205185192613150.0102592596306575
1840.9902266357206550.01954672855868960.00977336427934479
1850.9913835434079130.01723291318417320.0086164565920866
1860.9897015788034710.02059684239305840.0102984211965292
1870.9876710600124590.02465787997508120.0123289399875406
1880.9867379555730620.02652408885387660.0132620444269383
1890.9858842614991990.02823147700160240.0141157385008012
1900.9834848249025740.03303035019485180.0165151750974259
1910.9831708923483890.03365821530322190.0168291076516109
1920.9926372111157420.01472557776851680.00736278888425842
1930.9916713582265290.01665728354694140.00832864177347068
1940.9899374684510580.02012506309788310.0100625315489416
1950.9883073528523850.02338529429522980.0116926471476149
1960.9866165360775810.02676692784483880.0133834639224194
1970.983305207539120.03338958492175980.0166947924608799
1980.9835695293840160.0328609412319690.0164304706159845
1990.9860873465253310.02782530694933770.0139126534746689
2000.9883837973093520.02323240538129550.0116162026906477
2010.9870753482093210.02584930358135790.0129246517906789
2020.9841717252280390.03165654954392220.0158282747719611
2030.9816610433523190.03667791329536220.0183389566476811
2040.9831804185046540.03363916299069110.0168195814953456
2050.9842655870764170.03146882584716530.0157344129235827
2060.9826596050712840.03468078985743270.0173403949287163
2070.9850171230054520.02996575398909690.0149828769945484
2080.9815973508082510.03680529838349740.0184026491917487
2090.9764667102278120.04706657954437710.0235332897721885
2100.9695247178063120.06095056438737580.0304752821936879
2110.9610949652114610.07781006957707770.0389050347885388
2120.9502468911544560.09950621769108850.0497531088455442
2130.9368375474985620.1263249050028750.0631624525014376
2140.9279034848197630.1441930303604750.0720965151802374
2150.9103367977789960.1793264044420070.0896632022210035
2160.8852801403669560.2294397192660890.114719859633044
2170.8637010294126670.2725979411746660.136298970587333
2180.8377198461765090.3245603076469830.162280153823492
2190.8028925110145870.3942149779708260.197107488985413
2200.7763411655639610.4473176688720780.223658834436039
2210.7372079279930390.5255841440139220.262792072006961
2220.6866626547938380.6266746904123240.313337345206162
2230.7033587933900140.5932824132199720.296641206609986
2240.7400501660833690.5198996678332620.259949833916631
2250.742661446037480.514677107925040.25733855396252
2260.744531857747810.510936284504380.25546814225219
2270.7592618172779630.4814763654440730.240738182722037
2280.7694879909790450.4610240180419110.230512009020955
2290.8718120989622790.2563758020754430.128187901037721
2300.9624308236175250.07513835276494990.0375691763824749
2310.9475845365903830.1048309268192340.0524154634096171
2320.9408400261785750.118319947642850.059159973821425
2330.940172442405760.119655115188480.0598275575942401
2340.974262848226570.05147430354685970.0257371517734299
2350.9971357586277170.005728482744566070.00286424137228304
2360.9982048492161470.003590301567706380.00179515078385319
2370.9947805844578690.01043883108426280.0052194155421314
2380.9980650830012770.003869833997445920.00193491699872296
2390.9967256104787020.006548779042595310.00327438952129766
2400.9914836233052830.01703275338943310.00851637669471657
2410.9765846346146690.04683073077066130.0234153653853306

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
18 & 0.035872656437641 & 0.0717453128752821 & 0.964127343562359 \tabularnewline
19 & 0.00931880879081671 & 0.0186376175816334 & 0.990681191209183 \tabularnewline
20 & 0.0149248883757371 & 0.0298497767514742 & 0.985075111624263 \tabularnewline
21 & 0.0122040511652177 & 0.0244081023304354 & 0.987795948834782 \tabularnewline
22 & 0.00671907121601255 & 0.0134381424320251 & 0.993280928783987 \tabularnewline
23 & 0.00282130693825274 & 0.00564261387650549 & 0.997178693061747 \tabularnewline
24 & 0.023685478924672 & 0.0473709578493441 & 0.976314521075328 \tabularnewline
25 & 0.015246679908538 & 0.030493359817076 & 0.984753320091462 \tabularnewline
26 & 0.00741834394172741 & 0.0148366878834548 & 0.992581656058273 \tabularnewline
27 & 0.00347951463997024 & 0.00695902927994049 & 0.99652048536003 \tabularnewline
28 & 0.00372040286755652 & 0.00744080573511303 & 0.996279597132444 \tabularnewline
29 & 0.00587763480317389 & 0.0117552696063478 & 0.994122365196826 \tabularnewline
30 & 0.00796303262312314 & 0.0159260652462463 & 0.992036967376877 \tabularnewline
31 & 0.00751995164439304 & 0.0150399032887861 & 0.992480048355607 \tabularnewline
32 & 0.0049993960843329 & 0.0099987921686658 & 0.995000603915667 \tabularnewline
33 & 0.00333708034076634 & 0.00667416068153269 & 0.996662919659234 \tabularnewline
34 & 0.00420090735877154 & 0.00840181471754308 & 0.995799092641228 \tabularnewline
35 & 0.0027724352970787 & 0.00554487059415741 & 0.997227564702921 \tabularnewline
36 & 0.00152800479329714 & 0.00305600958659428 & 0.998471995206703 \tabularnewline
37 & 0.00219267261788263 & 0.00438534523576526 & 0.997807327382117 \tabularnewline
38 & 0.00868937601760058 & 0.0173787520352012 & 0.991310623982399 \tabularnewline
39 & 0.00868718274946013 & 0.0173743654989203 & 0.99131281725054 \tabularnewline
40 & 0.0101228596053353 & 0.0202457192106706 & 0.989877140394665 \tabularnewline
41 & 0.0077654423967889 & 0.0155308847935778 & 0.992234557603211 \tabularnewline
42 & 0.00582496067196973 & 0.0116499213439395 & 0.99417503932803 \tabularnewline
43 & 0.00438599700650346 & 0.00877199401300692 & 0.995614002993497 \tabularnewline
44 & 0.00287902124501573 & 0.00575804249003147 & 0.997120978754984 \tabularnewline
45 & 0.0029357901951276 & 0.00587158039025521 & 0.997064209804872 \tabularnewline
46 & 0.00343925924661515 & 0.00687851849323031 & 0.996560740753385 \tabularnewline
47 & 0.00295380246800576 & 0.00590760493601153 & 0.997046197531994 \tabularnewline
48 & 0.0083351715597463 & 0.0166703431194926 & 0.991664828440254 \tabularnewline
49 & 0.0296395012515374 & 0.0592790025030747 & 0.970360498748463 \tabularnewline
50 & 0.154875679009555 & 0.30975135801911 & 0.845124320990445 \tabularnewline
51 & 0.320294367423192 & 0.640588734846383 & 0.679705632576808 \tabularnewline
52 & 0.419109441242259 & 0.838218882484518 & 0.580890558757741 \tabularnewline
53 & 0.531204551862525 & 0.937590896274951 & 0.468795448137475 \tabularnewline
54 & 0.611122122114697 & 0.777755755770607 & 0.388877877885303 \tabularnewline
55 & 0.598857290824624 & 0.802285418350751 & 0.401142709175376 \tabularnewline
56 & 0.615290829040842 & 0.769418341918316 & 0.384709170959158 \tabularnewline
57 & 0.616572332287521 & 0.766855335424959 & 0.383427667712479 \tabularnewline
58 & 0.602849803920875 & 0.79430039215825 & 0.397150196079125 \tabularnewline
59 & 0.594250515669826 & 0.811498968660347 & 0.405749484330174 \tabularnewline
60 & 0.590354082550034 & 0.819291834899932 & 0.409645917449966 \tabularnewline
61 & 0.569053485728851 & 0.861893028542297 & 0.430946514271149 \tabularnewline
62 & 0.533959124177481 & 0.932081751645038 & 0.466040875822519 \tabularnewline
63 & 0.496742773142206 & 0.993485546284412 & 0.503257226857794 \tabularnewline
64 & 0.472029573822353 & 0.944059147644706 & 0.527970426177647 \tabularnewline
65 & 0.467881011002947 & 0.935762022005894 & 0.532118988997053 \tabularnewline
66 & 0.485696613069464 & 0.971393226138928 & 0.514303386930536 \tabularnewline
67 & 0.489079700723982 & 0.978159401447964 & 0.510920299276018 \tabularnewline
68 & 0.486717080258597 & 0.973434160517195 & 0.513282919741403 \tabularnewline
69 & 0.503392287015012 & 0.993215425969975 & 0.496607712984988 \tabularnewline
70 & 0.56535498142649 & 0.86929003714702 & 0.43464501857351 \tabularnewline
71 & 0.57538362445386 & 0.849232751092279 & 0.42461637554614 \tabularnewline
72 & 0.580778705208929 & 0.838442589582143 & 0.419221294791071 \tabularnewline
73 & 0.543167463135074 & 0.913665073729851 & 0.456832536864926 \tabularnewline
74 & 0.503144881262616 & 0.993710237474768 & 0.496855118737384 \tabularnewline
75 & 0.46098208649673 & 0.92196417299346 & 0.53901791350327 \tabularnewline
76 & 0.428815866614549 & 0.857631733229098 & 0.571184133385451 \tabularnewline
77 & 0.390896720658801 & 0.781793441317603 & 0.609103279341199 \tabularnewline
78 & 0.358346290926458 & 0.716692581852915 & 0.641653709073542 \tabularnewline
79 & 0.323946489525495 & 0.647892979050991 & 0.676053510474504 \tabularnewline
80 & 0.290759780646409 & 0.581519561292818 & 0.709240219353591 \tabularnewline
81 & 0.258387945157453 & 0.516775890314906 & 0.741612054842547 \tabularnewline
82 & 0.231389047179571 & 0.462778094359142 & 0.768610952820429 \tabularnewline
83 & 0.205921122301461 & 0.411842244602923 & 0.794078877698539 \tabularnewline
84 & 0.187632290458509 & 0.375264580917017 & 0.812367709541491 \tabularnewline
85 & 0.163576382549683 & 0.327152765099366 & 0.836423617450317 \tabularnewline
86 & 0.149744455990218 & 0.299488911980436 & 0.850255544009782 \tabularnewline
87 & 0.129491663822343 & 0.258983327644686 & 0.870508336177657 \tabularnewline
88 & 0.113575339986563 & 0.227150679973127 & 0.886424660013437 \tabularnewline
89 & 0.105332491415241 & 0.210664982830483 & 0.894667508584759 \tabularnewline
90 & 0.0967545174444931 & 0.193509034888986 & 0.903245482555507 \tabularnewline
91 & 0.121069135242757 & 0.242138270485515 & 0.878930864757243 \tabularnewline
92 & 0.11420471413118 & 0.228409428262359 & 0.88579528586882 \tabularnewline
93 & 0.140422405088436 & 0.280844810176872 & 0.859577594911564 \tabularnewline
94 & 0.144311904487975 & 0.28862380897595 & 0.855688095512025 \tabularnewline
95 & 0.141056954882198 & 0.282113909764397 & 0.858943045117802 \tabularnewline
96 & 0.128402834036539 & 0.256805668073078 & 0.871597165963461 \tabularnewline
97 & 0.118654972969681 & 0.237309945939362 & 0.881345027030319 \tabularnewline
98 & 0.118742184985118 & 0.237484369970237 & 0.881257815014882 \tabularnewline
99 & 0.111413539945046 & 0.222827079890091 & 0.888586460054954 \tabularnewline
100 & 0.107926025124479 & 0.215852050248957 & 0.892073974875521 \tabularnewline
101 & 0.100651555190983 & 0.201303110381966 & 0.899348444809017 \tabularnewline
102 & 0.0940912416859398 & 0.18818248337188 & 0.90590875831406 \tabularnewline
103 & 0.0850968438263347 & 0.170193687652669 & 0.914903156173665 \tabularnewline
104 & 0.0716121050579589 & 0.143224210115918 & 0.928387894942041 \tabularnewline
105 & 0.0640570996195626 & 0.128114199239125 & 0.935942900380437 \tabularnewline
106 & 0.0532767881350388 & 0.106553576270078 & 0.946723211864961 \tabularnewline
107 & 0.0445578658851473 & 0.0891157317702945 & 0.955442134114853 \tabularnewline
108 & 0.0389215815476566 & 0.0778431630953133 & 0.961078418452343 \tabularnewline
109 & 0.0340804641907888 & 0.0681609283815776 & 0.965919535809211 \tabularnewline
110 & 0.0289335421204605 & 0.057867084240921 & 0.971066457879539 \tabularnewline
111 & 0.0416248513319272 & 0.0832497026638544 & 0.958375148668073 \tabularnewline
112 & 0.0548077558220441 & 0.109615511644088 & 0.945192244177956 \tabularnewline
113 & 0.0596942686816237 & 0.119388537363247 & 0.940305731318376 \tabularnewline
114 & 0.0631949851191316 & 0.126389970238263 & 0.936805014880868 \tabularnewline
115 & 0.0682290597275661 & 0.136458119455132 & 0.931770940272434 \tabularnewline
116 & 0.0847244628394352 & 0.16944892567887 & 0.915275537160565 \tabularnewline
117 & 0.132402041027581 & 0.264804082055162 & 0.867597958972419 \tabularnewline
118 & 0.213154872008316 & 0.426309744016633 & 0.786845127991684 \tabularnewline
119 & 0.2389475372681 & 0.477895074536201 & 0.7610524627319 \tabularnewline
120 & 0.239054387355192 & 0.478108774710384 & 0.760945612644808 \tabularnewline
121 & 0.246013162906039 & 0.492026325812079 & 0.753986837093961 \tabularnewline
122 & 0.251525175121172 & 0.503050350242344 & 0.748474824878828 \tabularnewline
123 & 0.282448314014211 & 0.564896628028422 & 0.717551685985789 \tabularnewline
124 & 0.288938640017442 & 0.577877280034883 & 0.711061359982558 \tabularnewline
125 & 0.275297664515394 & 0.550595329030787 & 0.724702335484606 \tabularnewline
126 & 0.252684137685526 & 0.505368275371053 & 0.747315862314474 \tabularnewline
127 & 0.231244226718125 & 0.462488453436251 & 0.768755773281875 \tabularnewline
128 & 0.203747942275861 & 0.407495884551723 & 0.796252057724139 \tabularnewline
129 & 0.179735793194518 & 0.359471586389036 & 0.820264206805482 \tabularnewline
130 & 0.166428366044458 & 0.332856732088917 & 0.833571633955542 \tabularnewline
131 & 0.157445158024398 & 0.314890316048796 & 0.842554841975602 \tabularnewline
132 & 0.149977929629847 & 0.299955859259694 & 0.850022070370153 \tabularnewline
133 & 0.152333993722221 & 0.304667987444442 & 0.847666006277779 \tabularnewline
134 & 0.137271943203603 & 0.274543886407206 & 0.862728056796397 \tabularnewline
135 & 0.120482477599156 & 0.240964955198313 & 0.879517522400844 \tabularnewline
136 & 0.147416456328932 & 0.294832912657865 & 0.852583543671068 \tabularnewline
137 & 0.169429887145986 & 0.338859774291973 & 0.830570112854014 \tabularnewline
138 & 0.20809473861629 & 0.416189477232579 & 0.79190526138371 \tabularnewline
139 & 0.215558227730403 & 0.431116455460807 & 0.784441772269597 \tabularnewline
140 & 0.231479575936992 & 0.462959151873985 & 0.768520424063008 \tabularnewline
141 & 0.231933130067902 & 0.463866260135804 & 0.768066869932098 \tabularnewline
142 & 0.267697654111392 & 0.535395308222784 & 0.732302345888608 \tabularnewline
143 & 0.266012419808453 & 0.532024839616905 & 0.733987580191547 \tabularnewline
144 & 0.244143829745223 & 0.488287659490446 & 0.755856170254777 \tabularnewline
145 & 0.21880032745126 & 0.437600654902521 & 0.78119967254874 \tabularnewline
146 & 0.19934301754961 & 0.39868603509922 & 0.80065698245039 \tabularnewline
147 & 0.186818222571425 & 0.373636445142849 & 0.813181777428575 \tabularnewline
148 & 0.176680575644316 & 0.353361151288632 & 0.823319424355684 \tabularnewline
149 & 0.183833325429712 & 0.367666650859424 & 0.816166674570288 \tabularnewline
150 & 0.170365696787334 & 0.340731393574669 & 0.829634303212666 \tabularnewline
151 & 0.164997307682246 & 0.329994615364491 & 0.835002692317754 \tabularnewline
152 & 0.14734744439139 & 0.29469488878278 & 0.85265255560861 \tabularnewline
153 & 0.133705449973577 & 0.267410899947153 & 0.866294550026424 \tabularnewline
154 & 0.125640618277753 & 0.251281236555506 & 0.874359381722247 \tabularnewline
155 & 0.117570694516047 & 0.235141389032094 & 0.882429305483953 \tabularnewline
156 & 0.120766545675232 & 0.241533091350464 & 0.879233454324768 \tabularnewline
157 & 0.104716756315285 & 0.209433512630571 & 0.895283243684715 \tabularnewline
158 & 0.0906337258012967 & 0.181267451602593 & 0.909366274198703 \tabularnewline
159 & 0.0780291911155059 & 0.156058382231012 & 0.921970808884494 \tabularnewline
160 & 0.068000135303669 & 0.136000270607338 & 0.931999864696331 \tabularnewline
161 & 0.0576065884336595 & 0.115213176867319 & 0.94239341156634 \tabularnewline
162 & 0.0481723499926526 & 0.0963446999853052 & 0.951827650007347 \tabularnewline
163 & 0.0401692839325865 & 0.080338567865173 & 0.959830716067414 \tabularnewline
164 & 0.0334311735485339 & 0.0668623470970679 & 0.966568826451466 \tabularnewline
165 & 0.0279446602324952 & 0.0558893204649905 & 0.972055339767505 \tabularnewline
166 & 0.0244627248791377 & 0.0489254497582753 & 0.975537275120862 \tabularnewline
167 & 0.0246717209596061 & 0.0493434419192123 & 0.975328279040394 \tabularnewline
168 & 0.0213601059109308 & 0.0427202118218616 & 0.978639894089069 \tabularnewline
169 & 0.0200861001343783 & 0.0401722002687566 & 0.979913899865622 \tabularnewline
170 & 0.0162542063508218 & 0.0325084127016437 & 0.983745793649178 \tabularnewline
171 & 0.0146895725283564 & 0.0293791450567128 & 0.985310427471644 \tabularnewline
172 & 0.0247846853013067 & 0.0495693706026133 & 0.975215314698693 \tabularnewline
173 & 0.0287822345099037 & 0.0575644690198073 & 0.971217765490096 \tabularnewline
174 & 0.0805133576342285 & 0.161026715268457 & 0.919486642365771 \tabularnewline
175 & 0.210214771724637 & 0.420429543449273 & 0.789785228275363 \tabularnewline
176 & 0.650370184765372 & 0.699259630469256 & 0.349629815234628 \tabularnewline
177 & 0.985826751770061 & 0.0283464964598786 & 0.0141732482299393 \tabularnewline
178 & 0.986819212726428 & 0.0263615745471448 & 0.0131807872735724 \tabularnewline
179 & 0.990005197608901 & 0.0199896047821971 & 0.00999480239109856 \tabularnewline
180 & 0.990281713557034 & 0.0194365728859311 & 0.00971828644296553 \tabularnewline
181 & 0.990474895068535 & 0.0190502098629293 & 0.00952510493146463 \tabularnewline
182 & 0.990033341307213 & 0.0199333173855733 & 0.00996665869278665 \tabularnewline
183 & 0.989740740369342 & 0.020518519261315 & 0.0102592596306575 \tabularnewline
184 & 0.990226635720655 & 0.0195467285586896 & 0.00977336427934479 \tabularnewline
185 & 0.991383543407913 & 0.0172329131841732 & 0.0086164565920866 \tabularnewline
186 & 0.989701578803471 & 0.0205968423930584 & 0.0102984211965292 \tabularnewline
187 & 0.987671060012459 & 0.0246578799750812 & 0.0123289399875406 \tabularnewline
188 & 0.986737955573062 & 0.0265240888538766 & 0.0132620444269383 \tabularnewline
189 & 0.985884261499199 & 0.0282314770016024 & 0.0141157385008012 \tabularnewline
190 & 0.983484824902574 & 0.0330303501948518 & 0.0165151750974259 \tabularnewline
191 & 0.983170892348389 & 0.0336582153032219 & 0.0168291076516109 \tabularnewline
192 & 0.992637211115742 & 0.0147255777685168 & 0.00736278888425842 \tabularnewline
193 & 0.991671358226529 & 0.0166572835469414 & 0.00832864177347068 \tabularnewline
194 & 0.989937468451058 & 0.0201250630978831 & 0.0100625315489416 \tabularnewline
195 & 0.988307352852385 & 0.0233852942952298 & 0.0116926471476149 \tabularnewline
196 & 0.986616536077581 & 0.0267669278448388 & 0.0133834639224194 \tabularnewline
197 & 0.98330520753912 & 0.0333895849217598 & 0.0166947924608799 \tabularnewline
198 & 0.983569529384016 & 0.032860941231969 & 0.0164304706159845 \tabularnewline
199 & 0.986087346525331 & 0.0278253069493377 & 0.0139126534746689 \tabularnewline
200 & 0.988383797309352 & 0.0232324053812955 & 0.0116162026906477 \tabularnewline
201 & 0.987075348209321 & 0.0258493035813579 & 0.0129246517906789 \tabularnewline
202 & 0.984171725228039 & 0.0316565495439222 & 0.0158282747719611 \tabularnewline
203 & 0.981661043352319 & 0.0366779132953622 & 0.0183389566476811 \tabularnewline
204 & 0.983180418504654 & 0.0336391629906911 & 0.0168195814953456 \tabularnewline
205 & 0.984265587076417 & 0.0314688258471653 & 0.0157344129235827 \tabularnewline
206 & 0.982659605071284 & 0.0346807898574327 & 0.0173403949287163 \tabularnewline
207 & 0.985017123005452 & 0.0299657539890969 & 0.0149828769945484 \tabularnewline
208 & 0.981597350808251 & 0.0368052983834974 & 0.0184026491917487 \tabularnewline
209 & 0.976466710227812 & 0.0470665795443771 & 0.0235332897721885 \tabularnewline
210 & 0.969524717806312 & 0.0609505643873758 & 0.0304752821936879 \tabularnewline
211 & 0.961094965211461 & 0.0778100695770777 & 0.0389050347885388 \tabularnewline
212 & 0.950246891154456 & 0.0995062176910885 & 0.0497531088455442 \tabularnewline
213 & 0.936837547498562 & 0.126324905002875 & 0.0631624525014376 \tabularnewline
214 & 0.927903484819763 & 0.144193030360475 & 0.0720965151802374 \tabularnewline
215 & 0.910336797778996 & 0.179326404442007 & 0.0896632022210035 \tabularnewline
216 & 0.885280140366956 & 0.229439719266089 & 0.114719859633044 \tabularnewline
217 & 0.863701029412667 & 0.272597941174666 & 0.136298970587333 \tabularnewline
218 & 0.837719846176509 & 0.324560307646983 & 0.162280153823492 \tabularnewline
219 & 0.802892511014587 & 0.394214977970826 & 0.197107488985413 \tabularnewline
220 & 0.776341165563961 & 0.447317668872078 & 0.223658834436039 \tabularnewline
221 & 0.737207927993039 & 0.525584144013922 & 0.262792072006961 \tabularnewline
222 & 0.686662654793838 & 0.626674690412324 & 0.313337345206162 \tabularnewline
223 & 0.703358793390014 & 0.593282413219972 & 0.296641206609986 \tabularnewline
224 & 0.740050166083369 & 0.519899667833262 & 0.259949833916631 \tabularnewline
225 & 0.74266144603748 & 0.51467710792504 & 0.25733855396252 \tabularnewline
226 & 0.74453185774781 & 0.51093628450438 & 0.25546814225219 \tabularnewline
227 & 0.759261817277963 & 0.481476365444073 & 0.240738182722037 \tabularnewline
228 & 0.769487990979045 & 0.461024018041911 & 0.230512009020955 \tabularnewline
229 & 0.871812098962279 & 0.256375802075443 & 0.128187901037721 \tabularnewline
230 & 0.962430823617525 & 0.0751383527649499 & 0.0375691763824749 \tabularnewline
231 & 0.947584536590383 & 0.104830926819234 & 0.0524154634096171 \tabularnewline
232 & 0.940840026178575 & 0.11831994764285 & 0.059159973821425 \tabularnewline
233 & 0.94017244240576 & 0.11965511518848 & 0.0598275575942401 \tabularnewline
234 & 0.97426284822657 & 0.0514743035468597 & 0.0257371517734299 \tabularnewline
235 & 0.997135758627717 & 0.00572848274456607 & 0.00286424137228304 \tabularnewline
236 & 0.998204849216147 & 0.00359030156770638 & 0.00179515078385319 \tabularnewline
237 & 0.994780584457869 & 0.0104388310842628 & 0.0052194155421314 \tabularnewline
238 & 0.998065083001277 & 0.00386983399744592 & 0.00193491699872296 \tabularnewline
239 & 0.996725610478702 & 0.00654877904259531 & 0.00327438952129766 \tabularnewline
240 & 0.991483623305283 & 0.0170327533894331 & 0.00851637669471657 \tabularnewline
241 & 0.976584634614669 & 0.0468307307706613 & 0.0234153653853306 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203177&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]18[/C][C]0.035872656437641[/C][C]0.0717453128752821[/C][C]0.964127343562359[/C][/ROW]
[ROW][C]19[/C][C]0.00931880879081671[/C][C]0.0186376175816334[/C][C]0.990681191209183[/C][/ROW]
[ROW][C]20[/C][C]0.0149248883757371[/C][C]0.0298497767514742[/C][C]0.985075111624263[/C][/ROW]
[ROW][C]21[/C][C]0.0122040511652177[/C][C]0.0244081023304354[/C][C]0.987795948834782[/C][/ROW]
[ROW][C]22[/C][C]0.00671907121601255[/C][C]0.0134381424320251[/C][C]0.993280928783987[/C][/ROW]
[ROW][C]23[/C][C]0.00282130693825274[/C][C]0.00564261387650549[/C][C]0.997178693061747[/C][/ROW]
[ROW][C]24[/C][C]0.023685478924672[/C][C]0.0473709578493441[/C][C]0.976314521075328[/C][/ROW]
[ROW][C]25[/C][C]0.015246679908538[/C][C]0.030493359817076[/C][C]0.984753320091462[/C][/ROW]
[ROW][C]26[/C][C]0.00741834394172741[/C][C]0.0148366878834548[/C][C]0.992581656058273[/C][/ROW]
[ROW][C]27[/C][C]0.00347951463997024[/C][C]0.00695902927994049[/C][C]0.99652048536003[/C][/ROW]
[ROW][C]28[/C][C]0.00372040286755652[/C][C]0.00744080573511303[/C][C]0.996279597132444[/C][/ROW]
[ROW][C]29[/C][C]0.00587763480317389[/C][C]0.0117552696063478[/C][C]0.994122365196826[/C][/ROW]
[ROW][C]30[/C][C]0.00796303262312314[/C][C]0.0159260652462463[/C][C]0.992036967376877[/C][/ROW]
[ROW][C]31[/C][C]0.00751995164439304[/C][C]0.0150399032887861[/C][C]0.992480048355607[/C][/ROW]
[ROW][C]32[/C][C]0.0049993960843329[/C][C]0.0099987921686658[/C][C]0.995000603915667[/C][/ROW]
[ROW][C]33[/C][C]0.00333708034076634[/C][C]0.00667416068153269[/C][C]0.996662919659234[/C][/ROW]
[ROW][C]34[/C][C]0.00420090735877154[/C][C]0.00840181471754308[/C][C]0.995799092641228[/C][/ROW]
[ROW][C]35[/C][C]0.0027724352970787[/C][C]0.00554487059415741[/C][C]0.997227564702921[/C][/ROW]
[ROW][C]36[/C][C]0.00152800479329714[/C][C]0.00305600958659428[/C][C]0.998471995206703[/C][/ROW]
[ROW][C]37[/C][C]0.00219267261788263[/C][C]0.00438534523576526[/C][C]0.997807327382117[/C][/ROW]
[ROW][C]38[/C][C]0.00868937601760058[/C][C]0.0173787520352012[/C][C]0.991310623982399[/C][/ROW]
[ROW][C]39[/C][C]0.00868718274946013[/C][C]0.0173743654989203[/C][C]0.99131281725054[/C][/ROW]
[ROW][C]40[/C][C]0.0101228596053353[/C][C]0.0202457192106706[/C][C]0.989877140394665[/C][/ROW]
[ROW][C]41[/C][C]0.0077654423967889[/C][C]0.0155308847935778[/C][C]0.992234557603211[/C][/ROW]
[ROW][C]42[/C][C]0.00582496067196973[/C][C]0.0116499213439395[/C][C]0.99417503932803[/C][/ROW]
[ROW][C]43[/C][C]0.00438599700650346[/C][C]0.00877199401300692[/C][C]0.995614002993497[/C][/ROW]
[ROW][C]44[/C][C]0.00287902124501573[/C][C]0.00575804249003147[/C][C]0.997120978754984[/C][/ROW]
[ROW][C]45[/C][C]0.0029357901951276[/C][C]0.00587158039025521[/C][C]0.997064209804872[/C][/ROW]
[ROW][C]46[/C][C]0.00343925924661515[/C][C]0.00687851849323031[/C][C]0.996560740753385[/C][/ROW]
[ROW][C]47[/C][C]0.00295380246800576[/C][C]0.00590760493601153[/C][C]0.997046197531994[/C][/ROW]
[ROW][C]48[/C][C]0.0083351715597463[/C][C]0.0166703431194926[/C][C]0.991664828440254[/C][/ROW]
[ROW][C]49[/C][C]0.0296395012515374[/C][C]0.0592790025030747[/C][C]0.970360498748463[/C][/ROW]
[ROW][C]50[/C][C]0.154875679009555[/C][C]0.30975135801911[/C][C]0.845124320990445[/C][/ROW]
[ROW][C]51[/C][C]0.320294367423192[/C][C]0.640588734846383[/C][C]0.679705632576808[/C][/ROW]
[ROW][C]52[/C][C]0.419109441242259[/C][C]0.838218882484518[/C][C]0.580890558757741[/C][/ROW]
[ROW][C]53[/C][C]0.531204551862525[/C][C]0.937590896274951[/C][C]0.468795448137475[/C][/ROW]
[ROW][C]54[/C][C]0.611122122114697[/C][C]0.777755755770607[/C][C]0.388877877885303[/C][/ROW]
[ROW][C]55[/C][C]0.598857290824624[/C][C]0.802285418350751[/C][C]0.401142709175376[/C][/ROW]
[ROW][C]56[/C][C]0.615290829040842[/C][C]0.769418341918316[/C][C]0.384709170959158[/C][/ROW]
[ROW][C]57[/C][C]0.616572332287521[/C][C]0.766855335424959[/C][C]0.383427667712479[/C][/ROW]
[ROW][C]58[/C][C]0.602849803920875[/C][C]0.79430039215825[/C][C]0.397150196079125[/C][/ROW]
[ROW][C]59[/C][C]0.594250515669826[/C][C]0.811498968660347[/C][C]0.405749484330174[/C][/ROW]
[ROW][C]60[/C][C]0.590354082550034[/C][C]0.819291834899932[/C][C]0.409645917449966[/C][/ROW]
[ROW][C]61[/C][C]0.569053485728851[/C][C]0.861893028542297[/C][C]0.430946514271149[/C][/ROW]
[ROW][C]62[/C][C]0.533959124177481[/C][C]0.932081751645038[/C][C]0.466040875822519[/C][/ROW]
[ROW][C]63[/C][C]0.496742773142206[/C][C]0.993485546284412[/C][C]0.503257226857794[/C][/ROW]
[ROW][C]64[/C][C]0.472029573822353[/C][C]0.944059147644706[/C][C]0.527970426177647[/C][/ROW]
[ROW][C]65[/C][C]0.467881011002947[/C][C]0.935762022005894[/C][C]0.532118988997053[/C][/ROW]
[ROW][C]66[/C][C]0.485696613069464[/C][C]0.971393226138928[/C][C]0.514303386930536[/C][/ROW]
[ROW][C]67[/C][C]0.489079700723982[/C][C]0.978159401447964[/C][C]0.510920299276018[/C][/ROW]
[ROW][C]68[/C][C]0.486717080258597[/C][C]0.973434160517195[/C][C]0.513282919741403[/C][/ROW]
[ROW][C]69[/C][C]0.503392287015012[/C][C]0.993215425969975[/C][C]0.496607712984988[/C][/ROW]
[ROW][C]70[/C][C]0.56535498142649[/C][C]0.86929003714702[/C][C]0.43464501857351[/C][/ROW]
[ROW][C]71[/C][C]0.57538362445386[/C][C]0.849232751092279[/C][C]0.42461637554614[/C][/ROW]
[ROW][C]72[/C][C]0.580778705208929[/C][C]0.838442589582143[/C][C]0.419221294791071[/C][/ROW]
[ROW][C]73[/C][C]0.543167463135074[/C][C]0.913665073729851[/C][C]0.456832536864926[/C][/ROW]
[ROW][C]74[/C][C]0.503144881262616[/C][C]0.993710237474768[/C][C]0.496855118737384[/C][/ROW]
[ROW][C]75[/C][C]0.46098208649673[/C][C]0.92196417299346[/C][C]0.53901791350327[/C][/ROW]
[ROW][C]76[/C][C]0.428815866614549[/C][C]0.857631733229098[/C][C]0.571184133385451[/C][/ROW]
[ROW][C]77[/C][C]0.390896720658801[/C][C]0.781793441317603[/C][C]0.609103279341199[/C][/ROW]
[ROW][C]78[/C][C]0.358346290926458[/C][C]0.716692581852915[/C][C]0.641653709073542[/C][/ROW]
[ROW][C]79[/C][C]0.323946489525495[/C][C]0.647892979050991[/C][C]0.676053510474504[/C][/ROW]
[ROW][C]80[/C][C]0.290759780646409[/C][C]0.581519561292818[/C][C]0.709240219353591[/C][/ROW]
[ROW][C]81[/C][C]0.258387945157453[/C][C]0.516775890314906[/C][C]0.741612054842547[/C][/ROW]
[ROW][C]82[/C][C]0.231389047179571[/C][C]0.462778094359142[/C][C]0.768610952820429[/C][/ROW]
[ROW][C]83[/C][C]0.205921122301461[/C][C]0.411842244602923[/C][C]0.794078877698539[/C][/ROW]
[ROW][C]84[/C][C]0.187632290458509[/C][C]0.375264580917017[/C][C]0.812367709541491[/C][/ROW]
[ROW][C]85[/C][C]0.163576382549683[/C][C]0.327152765099366[/C][C]0.836423617450317[/C][/ROW]
[ROW][C]86[/C][C]0.149744455990218[/C][C]0.299488911980436[/C][C]0.850255544009782[/C][/ROW]
[ROW][C]87[/C][C]0.129491663822343[/C][C]0.258983327644686[/C][C]0.870508336177657[/C][/ROW]
[ROW][C]88[/C][C]0.113575339986563[/C][C]0.227150679973127[/C][C]0.886424660013437[/C][/ROW]
[ROW][C]89[/C][C]0.105332491415241[/C][C]0.210664982830483[/C][C]0.894667508584759[/C][/ROW]
[ROW][C]90[/C][C]0.0967545174444931[/C][C]0.193509034888986[/C][C]0.903245482555507[/C][/ROW]
[ROW][C]91[/C][C]0.121069135242757[/C][C]0.242138270485515[/C][C]0.878930864757243[/C][/ROW]
[ROW][C]92[/C][C]0.11420471413118[/C][C]0.228409428262359[/C][C]0.88579528586882[/C][/ROW]
[ROW][C]93[/C][C]0.140422405088436[/C][C]0.280844810176872[/C][C]0.859577594911564[/C][/ROW]
[ROW][C]94[/C][C]0.144311904487975[/C][C]0.28862380897595[/C][C]0.855688095512025[/C][/ROW]
[ROW][C]95[/C][C]0.141056954882198[/C][C]0.282113909764397[/C][C]0.858943045117802[/C][/ROW]
[ROW][C]96[/C][C]0.128402834036539[/C][C]0.256805668073078[/C][C]0.871597165963461[/C][/ROW]
[ROW][C]97[/C][C]0.118654972969681[/C][C]0.237309945939362[/C][C]0.881345027030319[/C][/ROW]
[ROW][C]98[/C][C]0.118742184985118[/C][C]0.237484369970237[/C][C]0.881257815014882[/C][/ROW]
[ROW][C]99[/C][C]0.111413539945046[/C][C]0.222827079890091[/C][C]0.888586460054954[/C][/ROW]
[ROW][C]100[/C][C]0.107926025124479[/C][C]0.215852050248957[/C][C]0.892073974875521[/C][/ROW]
[ROW][C]101[/C][C]0.100651555190983[/C][C]0.201303110381966[/C][C]0.899348444809017[/C][/ROW]
[ROW][C]102[/C][C]0.0940912416859398[/C][C]0.18818248337188[/C][C]0.90590875831406[/C][/ROW]
[ROW][C]103[/C][C]0.0850968438263347[/C][C]0.170193687652669[/C][C]0.914903156173665[/C][/ROW]
[ROW][C]104[/C][C]0.0716121050579589[/C][C]0.143224210115918[/C][C]0.928387894942041[/C][/ROW]
[ROW][C]105[/C][C]0.0640570996195626[/C][C]0.128114199239125[/C][C]0.935942900380437[/C][/ROW]
[ROW][C]106[/C][C]0.0532767881350388[/C][C]0.106553576270078[/C][C]0.946723211864961[/C][/ROW]
[ROW][C]107[/C][C]0.0445578658851473[/C][C]0.0891157317702945[/C][C]0.955442134114853[/C][/ROW]
[ROW][C]108[/C][C]0.0389215815476566[/C][C]0.0778431630953133[/C][C]0.961078418452343[/C][/ROW]
[ROW][C]109[/C][C]0.0340804641907888[/C][C]0.0681609283815776[/C][C]0.965919535809211[/C][/ROW]
[ROW][C]110[/C][C]0.0289335421204605[/C][C]0.057867084240921[/C][C]0.971066457879539[/C][/ROW]
[ROW][C]111[/C][C]0.0416248513319272[/C][C]0.0832497026638544[/C][C]0.958375148668073[/C][/ROW]
[ROW][C]112[/C][C]0.0548077558220441[/C][C]0.109615511644088[/C][C]0.945192244177956[/C][/ROW]
[ROW][C]113[/C][C]0.0596942686816237[/C][C]0.119388537363247[/C][C]0.940305731318376[/C][/ROW]
[ROW][C]114[/C][C]0.0631949851191316[/C][C]0.126389970238263[/C][C]0.936805014880868[/C][/ROW]
[ROW][C]115[/C][C]0.0682290597275661[/C][C]0.136458119455132[/C][C]0.931770940272434[/C][/ROW]
[ROW][C]116[/C][C]0.0847244628394352[/C][C]0.16944892567887[/C][C]0.915275537160565[/C][/ROW]
[ROW][C]117[/C][C]0.132402041027581[/C][C]0.264804082055162[/C][C]0.867597958972419[/C][/ROW]
[ROW][C]118[/C][C]0.213154872008316[/C][C]0.426309744016633[/C][C]0.786845127991684[/C][/ROW]
[ROW][C]119[/C][C]0.2389475372681[/C][C]0.477895074536201[/C][C]0.7610524627319[/C][/ROW]
[ROW][C]120[/C][C]0.239054387355192[/C][C]0.478108774710384[/C][C]0.760945612644808[/C][/ROW]
[ROW][C]121[/C][C]0.246013162906039[/C][C]0.492026325812079[/C][C]0.753986837093961[/C][/ROW]
[ROW][C]122[/C][C]0.251525175121172[/C][C]0.503050350242344[/C][C]0.748474824878828[/C][/ROW]
[ROW][C]123[/C][C]0.282448314014211[/C][C]0.564896628028422[/C][C]0.717551685985789[/C][/ROW]
[ROW][C]124[/C][C]0.288938640017442[/C][C]0.577877280034883[/C][C]0.711061359982558[/C][/ROW]
[ROW][C]125[/C][C]0.275297664515394[/C][C]0.550595329030787[/C][C]0.724702335484606[/C][/ROW]
[ROW][C]126[/C][C]0.252684137685526[/C][C]0.505368275371053[/C][C]0.747315862314474[/C][/ROW]
[ROW][C]127[/C][C]0.231244226718125[/C][C]0.462488453436251[/C][C]0.768755773281875[/C][/ROW]
[ROW][C]128[/C][C]0.203747942275861[/C][C]0.407495884551723[/C][C]0.796252057724139[/C][/ROW]
[ROW][C]129[/C][C]0.179735793194518[/C][C]0.359471586389036[/C][C]0.820264206805482[/C][/ROW]
[ROW][C]130[/C][C]0.166428366044458[/C][C]0.332856732088917[/C][C]0.833571633955542[/C][/ROW]
[ROW][C]131[/C][C]0.157445158024398[/C][C]0.314890316048796[/C][C]0.842554841975602[/C][/ROW]
[ROW][C]132[/C][C]0.149977929629847[/C][C]0.299955859259694[/C][C]0.850022070370153[/C][/ROW]
[ROW][C]133[/C][C]0.152333993722221[/C][C]0.304667987444442[/C][C]0.847666006277779[/C][/ROW]
[ROW][C]134[/C][C]0.137271943203603[/C][C]0.274543886407206[/C][C]0.862728056796397[/C][/ROW]
[ROW][C]135[/C][C]0.120482477599156[/C][C]0.240964955198313[/C][C]0.879517522400844[/C][/ROW]
[ROW][C]136[/C][C]0.147416456328932[/C][C]0.294832912657865[/C][C]0.852583543671068[/C][/ROW]
[ROW][C]137[/C][C]0.169429887145986[/C][C]0.338859774291973[/C][C]0.830570112854014[/C][/ROW]
[ROW][C]138[/C][C]0.20809473861629[/C][C]0.416189477232579[/C][C]0.79190526138371[/C][/ROW]
[ROW][C]139[/C][C]0.215558227730403[/C][C]0.431116455460807[/C][C]0.784441772269597[/C][/ROW]
[ROW][C]140[/C][C]0.231479575936992[/C][C]0.462959151873985[/C][C]0.768520424063008[/C][/ROW]
[ROW][C]141[/C][C]0.231933130067902[/C][C]0.463866260135804[/C][C]0.768066869932098[/C][/ROW]
[ROW][C]142[/C][C]0.267697654111392[/C][C]0.535395308222784[/C][C]0.732302345888608[/C][/ROW]
[ROW][C]143[/C][C]0.266012419808453[/C][C]0.532024839616905[/C][C]0.733987580191547[/C][/ROW]
[ROW][C]144[/C][C]0.244143829745223[/C][C]0.488287659490446[/C][C]0.755856170254777[/C][/ROW]
[ROW][C]145[/C][C]0.21880032745126[/C][C]0.437600654902521[/C][C]0.78119967254874[/C][/ROW]
[ROW][C]146[/C][C]0.19934301754961[/C][C]0.39868603509922[/C][C]0.80065698245039[/C][/ROW]
[ROW][C]147[/C][C]0.186818222571425[/C][C]0.373636445142849[/C][C]0.813181777428575[/C][/ROW]
[ROW][C]148[/C][C]0.176680575644316[/C][C]0.353361151288632[/C][C]0.823319424355684[/C][/ROW]
[ROW][C]149[/C][C]0.183833325429712[/C][C]0.367666650859424[/C][C]0.816166674570288[/C][/ROW]
[ROW][C]150[/C][C]0.170365696787334[/C][C]0.340731393574669[/C][C]0.829634303212666[/C][/ROW]
[ROW][C]151[/C][C]0.164997307682246[/C][C]0.329994615364491[/C][C]0.835002692317754[/C][/ROW]
[ROW][C]152[/C][C]0.14734744439139[/C][C]0.29469488878278[/C][C]0.85265255560861[/C][/ROW]
[ROW][C]153[/C][C]0.133705449973577[/C][C]0.267410899947153[/C][C]0.866294550026424[/C][/ROW]
[ROW][C]154[/C][C]0.125640618277753[/C][C]0.251281236555506[/C][C]0.874359381722247[/C][/ROW]
[ROW][C]155[/C][C]0.117570694516047[/C][C]0.235141389032094[/C][C]0.882429305483953[/C][/ROW]
[ROW][C]156[/C][C]0.120766545675232[/C][C]0.241533091350464[/C][C]0.879233454324768[/C][/ROW]
[ROW][C]157[/C][C]0.104716756315285[/C][C]0.209433512630571[/C][C]0.895283243684715[/C][/ROW]
[ROW][C]158[/C][C]0.0906337258012967[/C][C]0.181267451602593[/C][C]0.909366274198703[/C][/ROW]
[ROW][C]159[/C][C]0.0780291911155059[/C][C]0.156058382231012[/C][C]0.921970808884494[/C][/ROW]
[ROW][C]160[/C][C]0.068000135303669[/C][C]0.136000270607338[/C][C]0.931999864696331[/C][/ROW]
[ROW][C]161[/C][C]0.0576065884336595[/C][C]0.115213176867319[/C][C]0.94239341156634[/C][/ROW]
[ROW][C]162[/C][C]0.0481723499926526[/C][C]0.0963446999853052[/C][C]0.951827650007347[/C][/ROW]
[ROW][C]163[/C][C]0.0401692839325865[/C][C]0.080338567865173[/C][C]0.959830716067414[/C][/ROW]
[ROW][C]164[/C][C]0.0334311735485339[/C][C]0.0668623470970679[/C][C]0.966568826451466[/C][/ROW]
[ROW][C]165[/C][C]0.0279446602324952[/C][C]0.0558893204649905[/C][C]0.972055339767505[/C][/ROW]
[ROW][C]166[/C][C]0.0244627248791377[/C][C]0.0489254497582753[/C][C]0.975537275120862[/C][/ROW]
[ROW][C]167[/C][C]0.0246717209596061[/C][C]0.0493434419192123[/C][C]0.975328279040394[/C][/ROW]
[ROW][C]168[/C][C]0.0213601059109308[/C][C]0.0427202118218616[/C][C]0.978639894089069[/C][/ROW]
[ROW][C]169[/C][C]0.0200861001343783[/C][C]0.0401722002687566[/C][C]0.979913899865622[/C][/ROW]
[ROW][C]170[/C][C]0.0162542063508218[/C][C]0.0325084127016437[/C][C]0.983745793649178[/C][/ROW]
[ROW][C]171[/C][C]0.0146895725283564[/C][C]0.0293791450567128[/C][C]0.985310427471644[/C][/ROW]
[ROW][C]172[/C][C]0.0247846853013067[/C][C]0.0495693706026133[/C][C]0.975215314698693[/C][/ROW]
[ROW][C]173[/C][C]0.0287822345099037[/C][C]0.0575644690198073[/C][C]0.971217765490096[/C][/ROW]
[ROW][C]174[/C][C]0.0805133576342285[/C][C]0.161026715268457[/C][C]0.919486642365771[/C][/ROW]
[ROW][C]175[/C][C]0.210214771724637[/C][C]0.420429543449273[/C][C]0.789785228275363[/C][/ROW]
[ROW][C]176[/C][C]0.650370184765372[/C][C]0.699259630469256[/C][C]0.349629815234628[/C][/ROW]
[ROW][C]177[/C][C]0.985826751770061[/C][C]0.0283464964598786[/C][C]0.0141732482299393[/C][/ROW]
[ROW][C]178[/C][C]0.986819212726428[/C][C]0.0263615745471448[/C][C]0.0131807872735724[/C][/ROW]
[ROW][C]179[/C][C]0.990005197608901[/C][C]0.0199896047821971[/C][C]0.00999480239109856[/C][/ROW]
[ROW][C]180[/C][C]0.990281713557034[/C][C]0.0194365728859311[/C][C]0.00971828644296553[/C][/ROW]
[ROW][C]181[/C][C]0.990474895068535[/C][C]0.0190502098629293[/C][C]0.00952510493146463[/C][/ROW]
[ROW][C]182[/C][C]0.990033341307213[/C][C]0.0199333173855733[/C][C]0.00996665869278665[/C][/ROW]
[ROW][C]183[/C][C]0.989740740369342[/C][C]0.020518519261315[/C][C]0.0102592596306575[/C][/ROW]
[ROW][C]184[/C][C]0.990226635720655[/C][C]0.0195467285586896[/C][C]0.00977336427934479[/C][/ROW]
[ROW][C]185[/C][C]0.991383543407913[/C][C]0.0172329131841732[/C][C]0.0086164565920866[/C][/ROW]
[ROW][C]186[/C][C]0.989701578803471[/C][C]0.0205968423930584[/C][C]0.0102984211965292[/C][/ROW]
[ROW][C]187[/C][C]0.987671060012459[/C][C]0.0246578799750812[/C][C]0.0123289399875406[/C][/ROW]
[ROW][C]188[/C][C]0.986737955573062[/C][C]0.0265240888538766[/C][C]0.0132620444269383[/C][/ROW]
[ROW][C]189[/C][C]0.985884261499199[/C][C]0.0282314770016024[/C][C]0.0141157385008012[/C][/ROW]
[ROW][C]190[/C][C]0.983484824902574[/C][C]0.0330303501948518[/C][C]0.0165151750974259[/C][/ROW]
[ROW][C]191[/C][C]0.983170892348389[/C][C]0.0336582153032219[/C][C]0.0168291076516109[/C][/ROW]
[ROW][C]192[/C][C]0.992637211115742[/C][C]0.0147255777685168[/C][C]0.00736278888425842[/C][/ROW]
[ROW][C]193[/C][C]0.991671358226529[/C][C]0.0166572835469414[/C][C]0.00832864177347068[/C][/ROW]
[ROW][C]194[/C][C]0.989937468451058[/C][C]0.0201250630978831[/C][C]0.0100625315489416[/C][/ROW]
[ROW][C]195[/C][C]0.988307352852385[/C][C]0.0233852942952298[/C][C]0.0116926471476149[/C][/ROW]
[ROW][C]196[/C][C]0.986616536077581[/C][C]0.0267669278448388[/C][C]0.0133834639224194[/C][/ROW]
[ROW][C]197[/C][C]0.98330520753912[/C][C]0.0333895849217598[/C][C]0.0166947924608799[/C][/ROW]
[ROW][C]198[/C][C]0.983569529384016[/C][C]0.032860941231969[/C][C]0.0164304706159845[/C][/ROW]
[ROW][C]199[/C][C]0.986087346525331[/C][C]0.0278253069493377[/C][C]0.0139126534746689[/C][/ROW]
[ROW][C]200[/C][C]0.988383797309352[/C][C]0.0232324053812955[/C][C]0.0116162026906477[/C][/ROW]
[ROW][C]201[/C][C]0.987075348209321[/C][C]0.0258493035813579[/C][C]0.0129246517906789[/C][/ROW]
[ROW][C]202[/C][C]0.984171725228039[/C][C]0.0316565495439222[/C][C]0.0158282747719611[/C][/ROW]
[ROW][C]203[/C][C]0.981661043352319[/C][C]0.0366779132953622[/C][C]0.0183389566476811[/C][/ROW]
[ROW][C]204[/C][C]0.983180418504654[/C][C]0.0336391629906911[/C][C]0.0168195814953456[/C][/ROW]
[ROW][C]205[/C][C]0.984265587076417[/C][C]0.0314688258471653[/C][C]0.0157344129235827[/C][/ROW]
[ROW][C]206[/C][C]0.982659605071284[/C][C]0.0346807898574327[/C][C]0.0173403949287163[/C][/ROW]
[ROW][C]207[/C][C]0.985017123005452[/C][C]0.0299657539890969[/C][C]0.0149828769945484[/C][/ROW]
[ROW][C]208[/C][C]0.981597350808251[/C][C]0.0368052983834974[/C][C]0.0184026491917487[/C][/ROW]
[ROW][C]209[/C][C]0.976466710227812[/C][C]0.0470665795443771[/C][C]0.0235332897721885[/C][/ROW]
[ROW][C]210[/C][C]0.969524717806312[/C][C]0.0609505643873758[/C][C]0.0304752821936879[/C][/ROW]
[ROW][C]211[/C][C]0.961094965211461[/C][C]0.0778100695770777[/C][C]0.0389050347885388[/C][/ROW]
[ROW][C]212[/C][C]0.950246891154456[/C][C]0.0995062176910885[/C][C]0.0497531088455442[/C][/ROW]
[ROW][C]213[/C][C]0.936837547498562[/C][C]0.126324905002875[/C][C]0.0631624525014376[/C][/ROW]
[ROW][C]214[/C][C]0.927903484819763[/C][C]0.144193030360475[/C][C]0.0720965151802374[/C][/ROW]
[ROW][C]215[/C][C]0.910336797778996[/C][C]0.179326404442007[/C][C]0.0896632022210035[/C][/ROW]
[ROW][C]216[/C][C]0.885280140366956[/C][C]0.229439719266089[/C][C]0.114719859633044[/C][/ROW]
[ROW][C]217[/C][C]0.863701029412667[/C][C]0.272597941174666[/C][C]0.136298970587333[/C][/ROW]
[ROW][C]218[/C][C]0.837719846176509[/C][C]0.324560307646983[/C][C]0.162280153823492[/C][/ROW]
[ROW][C]219[/C][C]0.802892511014587[/C][C]0.394214977970826[/C][C]0.197107488985413[/C][/ROW]
[ROW][C]220[/C][C]0.776341165563961[/C][C]0.447317668872078[/C][C]0.223658834436039[/C][/ROW]
[ROW][C]221[/C][C]0.737207927993039[/C][C]0.525584144013922[/C][C]0.262792072006961[/C][/ROW]
[ROW][C]222[/C][C]0.686662654793838[/C][C]0.626674690412324[/C][C]0.313337345206162[/C][/ROW]
[ROW][C]223[/C][C]0.703358793390014[/C][C]0.593282413219972[/C][C]0.296641206609986[/C][/ROW]
[ROW][C]224[/C][C]0.740050166083369[/C][C]0.519899667833262[/C][C]0.259949833916631[/C][/ROW]
[ROW][C]225[/C][C]0.74266144603748[/C][C]0.51467710792504[/C][C]0.25733855396252[/C][/ROW]
[ROW][C]226[/C][C]0.74453185774781[/C][C]0.51093628450438[/C][C]0.25546814225219[/C][/ROW]
[ROW][C]227[/C][C]0.759261817277963[/C][C]0.481476365444073[/C][C]0.240738182722037[/C][/ROW]
[ROW][C]228[/C][C]0.769487990979045[/C][C]0.461024018041911[/C][C]0.230512009020955[/C][/ROW]
[ROW][C]229[/C][C]0.871812098962279[/C][C]0.256375802075443[/C][C]0.128187901037721[/C][/ROW]
[ROW][C]230[/C][C]0.962430823617525[/C][C]0.0751383527649499[/C][C]0.0375691763824749[/C][/ROW]
[ROW][C]231[/C][C]0.947584536590383[/C][C]0.104830926819234[/C][C]0.0524154634096171[/C][/ROW]
[ROW][C]232[/C][C]0.940840026178575[/C][C]0.11831994764285[/C][C]0.059159973821425[/C][/ROW]
[ROW][C]233[/C][C]0.94017244240576[/C][C]0.11965511518848[/C][C]0.0598275575942401[/C][/ROW]
[ROW][C]234[/C][C]0.97426284822657[/C][C]0.0514743035468597[/C][C]0.0257371517734299[/C][/ROW]
[ROW][C]235[/C][C]0.997135758627717[/C][C]0.00572848274456607[/C][C]0.00286424137228304[/C][/ROW]
[ROW][C]236[/C][C]0.998204849216147[/C][C]0.00359030156770638[/C][C]0.00179515078385319[/C][/ROW]
[ROW][C]237[/C][C]0.994780584457869[/C][C]0.0104388310842628[/C][C]0.0052194155421314[/C][/ROW]
[ROW][C]238[/C][C]0.998065083001277[/C][C]0.00386983399744592[/C][C]0.00193491699872296[/C][/ROW]
[ROW][C]239[/C][C]0.996725610478702[/C][C]0.00654877904259531[/C][C]0.00327438952129766[/C][/ROW]
[ROW][C]240[/C][C]0.991483623305283[/C][C]0.0170327533894331[/C][C]0.00851637669471657[/C][/ROW]
[ROW][C]241[/C][C]0.976584634614669[/C][C]0.0468307307706613[/C][C]0.0234153653853306[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203177&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203177&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
180.0358726564376410.07174531287528210.964127343562359
190.009318808790816710.01863761758163340.990681191209183
200.01492488837573710.02984977675147420.985075111624263
210.01220405116521770.02440810233043540.987795948834782
220.006719071216012550.01343814243202510.993280928783987
230.002821306938252740.005642613876505490.997178693061747
240.0236854789246720.04737095784934410.976314521075328
250.0152466799085380.0304933598170760.984753320091462
260.007418343941727410.01483668788345480.992581656058273
270.003479514639970240.006959029279940490.99652048536003
280.003720402867556520.007440805735113030.996279597132444
290.005877634803173890.01175526960634780.994122365196826
300.007963032623123140.01592606524624630.992036967376877
310.007519951644393040.01503990328878610.992480048355607
320.00499939608433290.00999879216866580.995000603915667
330.003337080340766340.006674160681532690.996662919659234
340.004200907358771540.008401814717543080.995799092641228
350.00277243529707870.005544870594157410.997227564702921
360.001528004793297140.003056009586594280.998471995206703
370.002192672617882630.004385345235765260.997807327382117
380.008689376017600580.01737875203520120.991310623982399
390.008687182749460130.01737436549892030.99131281725054
400.01012285960533530.02024571921067060.989877140394665
410.00776544239678890.01553088479357780.992234557603211
420.005824960671969730.01164992134393950.99417503932803
430.004385997006503460.008771994013006920.995614002993497
440.002879021245015730.005758042490031470.997120978754984
450.00293579019512760.005871580390255210.997064209804872
460.003439259246615150.006878518493230310.996560740753385
470.002953802468005760.005907604936011530.997046197531994
480.00833517155974630.01667034311949260.991664828440254
490.02963950125153740.05927900250307470.970360498748463
500.1548756790095550.309751358019110.845124320990445
510.3202943674231920.6405887348463830.679705632576808
520.4191094412422590.8382188824845180.580890558757741
530.5312045518625250.9375908962749510.468795448137475
540.6111221221146970.7777557557706070.388877877885303
550.5988572908246240.8022854183507510.401142709175376
560.6152908290408420.7694183419183160.384709170959158
570.6165723322875210.7668553354249590.383427667712479
580.6028498039208750.794300392158250.397150196079125
590.5942505156698260.8114989686603470.405749484330174
600.5903540825500340.8192918348999320.409645917449966
610.5690534857288510.8618930285422970.430946514271149
620.5339591241774810.9320817516450380.466040875822519
630.4967427731422060.9934855462844120.503257226857794
640.4720295738223530.9440591476447060.527970426177647
650.4678810110029470.9357620220058940.532118988997053
660.4856966130694640.9713932261389280.514303386930536
670.4890797007239820.9781594014479640.510920299276018
680.4867170802585970.9734341605171950.513282919741403
690.5033922870150120.9932154259699750.496607712984988
700.565354981426490.869290037147020.43464501857351
710.575383624453860.8492327510922790.42461637554614
720.5807787052089290.8384425895821430.419221294791071
730.5431674631350740.9136650737298510.456832536864926
740.5031448812626160.9937102374747680.496855118737384
750.460982086496730.921964172993460.53901791350327
760.4288158666145490.8576317332290980.571184133385451
770.3908967206588010.7817934413176030.609103279341199
780.3583462909264580.7166925818529150.641653709073542
790.3239464895254950.6478929790509910.676053510474504
800.2907597806464090.5815195612928180.709240219353591
810.2583879451574530.5167758903149060.741612054842547
820.2313890471795710.4627780943591420.768610952820429
830.2059211223014610.4118422446029230.794078877698539
840.1876322904585090.3752645809170170.812367709541491
850.1635763825496830.3271527650993660.836423617450317
860.1497444559902180.2994889119804360.850255544009782
870.1294916638223430.2589833276446860.870508336177657
880.1135753399865630.2271506799731270.886424660013437
890.1053324914152410.2106649828304830.894667508584759
900.09675451744449310.1935090348889860.903245482555507
910.1210691352427570.2421382704855150.878930864757243
920.114204714131180.2284094282623590.88579528586882
930.1404224050884360.2808448101768720.859577594911564
940.1443119044879750.288623808975950.855688095512025
950.1410569548821980.2821139097643970.858943045117802
960.1284028340365390.2568056680730780.871597165963461
970.1186549729696810.2373099459393620.881345027030319
980.1187421849851180.2374843699702370.881257815014882
990.1114135399450460.2228270798900910.888586460054954
1000.1079260251244790.2158520502489570.892073974875521
1010.1006515551909830.2013031103819660.899348444809017
1020.09409124168593980.188182483371880.90590875831406
1030.08509684382633470.1701936876526690.914903156173665
1040.07161210505795890.1432242101159180.928387894942041
1050.06405709961956260.1281141992391250.935942900380437
1060.05327678813503880.1065535762700780.946723211864961
1070.04455786588514730.08911573177029450.955442134114853
1080.03892158154765660.07784316309531330.961078418452343
1090.03408046419078880.06816092838157760.965919535809211
1100.02893354212046050.0578670842409210.971066457879539
1110.04162485133192720.08324970266385440.958375148668073
1120.05480775582204410.1096155116440880.945192244177956
1130.05969426868162370.1193885373632470.940305731318376
1140.06319498511913160.1263899702382630.936805014880868
1150.06822905972756610.1364581194551320.931770940272434
1160.08472446283943520.169448925678870.915275537160565
1170.1324020410275810.2648040820551620.867597958972419
1180.2131548720083160.4263097440166330.786845127991684
1190.23894753726810.4778950745362010.7610524627319
1200.2390543873551920.4781087747103840.760945612644808
1210.2460131629060390.4920263258120790.753986837093961
1220.2515251751211720.5030503502423440.748474824878828
1230.2824483140142110.5648966280284220.717551685985789
1240.2889386400174420.5778772800348830.711061359982558
1250.2752976645153940.5505953290307870.724702335484606
1260.2526841376855260.5053682753710530.747315862314474
1270.2312442267181250.4624884534362510.768755773281875
1280.2037479422758610.4074958845517230.796252057724139
1290.1797357931945180.3594715863890360.820264206805482
1300.1664283660444580.3328567320889170.833571633955542
1310.1574451580243980.3148903160487960.842554841975602
1320.1499779296298470.2999558592596940.850022070370153
1330.1523339937222210.3046679874444420.847666006277779
1340.1372719432036030.2745438864072060.862728056796397
1350.1204824775991560.2409649551983130.879517522400844
1360.1474164563289320.2948329126578650.852583543671068
1370.1694298871459860.3388597742919730.830570112854014
1380.208094738616290.4161894772325790.79190526138371
1390.2155582277304030.4311164554608070.784441772269597
1400.2314795759369920.4629591518739850.768520424063008
1410.2319331300679020.4638662601358040.768066869932098
1420.2676976541113920.5353953082227840.732302345888608
1430.2660124198084530.5320248396169050.733987580191547
1440.2441438297452230.4882876594904460.755856170254777
1450.218800327451260.4376006549025210.78119967254874
1460.199343017549610.398686035099220.80065698245039
1470.1868182225714250.3736364451428490.813181777428575
1480.1766805756443160.3533611512886320.823319424355684
1490.1838333254297120.3676666508594240.816166674570288
1500.1703656967873340.3407313935746690.829634303212666
1510.1649973076822460.3299946153644910.835002692317754
1520.147347444391390.294694888782780.85265255560861
1530.1337054499735770.2674108999471530.866294550026424
1540.1256406182777530.2512812365555060.874359381722247
1550.1175706945160470.2351413890320940.882429305483953
1560.1207665456752320.2415330913504640.879233454324768
1570.1047167563152850.2094335126305710.895283243684715
1580.09063372580129670.1812674516025930.909366274198703
1590.07802919111550590.1560583822310120.921970808884494
1600.0680001353036690.1360002706073380.931999864696331
1610.05760658843365950.1152131768673190.94239341156634
1620.04817234999265260.09634469998530520.951827650007347
1630.04016928393258650.0803385678651730.959830716067414
1640.03343117354853390.06686234709706790.966568826451466
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1660.02446272487913770.04892544975827530.975537275120862
1670.02467172095960610.04934344191921230.975328279040394
1680.02136010591093080.04272021182186160.978639894089069
1690.02008610013437830.04017220026875660.979913899865622
1700.01625420635082180.03250841270164370.983745793649178
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1740.08051335763422850.1610267152684570.919486642365771
1750.2102147717246370.4204295434492730.789785228275363
1760.6503701847653720.6992596304692560.349629815234628
1770.9858267517700610.02834649645987860.0141732482299393
1780.9868192127264280.02636157454714480.0131807872735724
1790.9900051976089010.01998960478219710.00999480239109856
1800.9902817135570340.01943657288593110.00971828644296553
1810.9904748950685350.01905020986292930.00952510493146463
1820.9900333413072130.01993331738557330.00996665869278665
1830.9897407403693420.0205185192613150.0102592596306575
1840.9902266357206550.01954672855868960.00977336427934479
1850.9913835434079130.01723291318417320.0086164565920866
1860.9897015788034710.02059684239305840.0102984211965292
1870.9876710600124590.02465787997508120.0123289399875406
1880.9867379555730620.02652408885387660.0132620444269383
1890.9858842614991990.02823147700160240.0141157385008012
1900.9834848249025740.03303035019485180.0165151750974259
1910.9831708923483890.03365821530322190.0168291076516109
1920.9926372111157420.01472557776851680.00736278888425842
1930.9916713582265290.01665728354694140.00832864177347068
1940.9899374684510580.02012506309788310.0100625315489416
1950.9883073528523850.02338529429522980.0116926471476149
1960.9866165360775810.02676692784483880.0133834639224194
1970.983305207539120.03338958492175980.0166947924608799
1980.9835695293840160.0328609412319690.0164304706159845
1990.9860873465253310.02782530694933770.0139126534746689
2000.9883837973093520.02323240538129550.0116162026906477
2010.9870753482093210.02584930358135790.0129246517906789
2020.9841717252280390.03165654954392220.0158282747719611
2030.9816610433523190.03667791329536220.0183389566476811
2040.9831804185046540.03363916299069110.0168195814953456
2050.9842655870764170.03146882584716530.0157344129235827
2060.9826596050712840.03468078985743270.0173403949287163
2070.9850171230054520.02996575398909690.0149828769945484
2080.9815973508082510.03680529838349740.0184026491917487
2090.9764667102278120.04706657954437710.0235332897721885
2100.9695247178063120.06095056438737580.0304752821936879
2110.9610949652114610.07781006957707770.0389050347885388
2120.9502468911544560.09950621769108850.0497531088455442
2130.9368375474985620.1263249050028750.0631624525014376
2140.9279034848197630.1441930303604750.0720965151802374
2150.9103367977789960.1793264044420070.0896632022210035
2160.8852801403669560.2294397192660890.114719859633044
2170.8637010294126670.2725979411746660.136298970587333
2180.8377198461765090.3245603076469830.162280153823492
2190.8028925110145870.3942149779708260.197107488985413
2200.7763411655639610.4473176688720780.223658834436039
2210.7372079279930390.5255841440139220.262792072006961
2220.6866626547938380.6266746904123240.313337345206162
2230.7033587933900140.5932824132199720.296641206609986
2240.7400501660833690.5198996678332620.259949833916631
2250.742661446037480.514677107925040.25733855396252
2260.744531857747810.510936284504380.25546814225219
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2280.7694879909790450.4610240180419110.230512009020955
2290.8718120989622790.2563758020754430.128187901037721
2300.9624308236175250.07513835276494990.0375691763824749
2310.9475845365903830.1048309268192340.0524154634096171
2320.9408400261785750.118319947642850.059159973821425
2330.940172442405760.119655115188480.0598275575942401
2340.974262848226570.05147430354685970.0257371517734299
2350.9971357586277170.005728482744566070.00286424137228304
2360.9982048492161470.003590301567706380.00179515078385319
2370.9947805844578690.01043883108426280.0052194155421314
2380.9980650830012770.003869833997445920.00193491699872296
2390.9967256104787020.006548779042595310.00327438952129766
2400.9914836233052830.01703275338943310.00851637669471657
2410.9765846346146690.04683073077066130.0234153653853306






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level180.0803571428571429NOK
5% type I error level770.34375NOK
10% type I error level940.419642857142857NOK

\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 & 18 & 0.0803571428571429 & NOK \tabularnewline
5% type I error level & 77 & 0.34375 & NOK \tabularnewline
10% type I error level & 94 & 0.419642857142857 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203177&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]18[/C][C]0.0803571428571429[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]77[/C][C]0.34375[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]94[/C][C]0.419642857142857[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203177&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203177&T=6

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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 level180.0803571428571429NOK
5% type I error level770.34375NOK
10% type I error level940.419642857142857NOK


Figures (Output of Computation)

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Input Parameters & R Code

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