Free Statistics

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Author*The author of this computation has been verified*
R Software Module--
Title produced by softwareMultiple Regression
Date of computationMon, 21 Nov 2011 11:40:18 -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/2011/Nov/21/t1321893770zap9raw945krq3g.htm/, Retrieved Thu, 28 Mar 2024 20:08:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=145811, Retrieved Thu, 28 Mar 2024 20:08:22 +0000
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User-defined keywords
Estimated Impact93
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [lichaamsgewicht] [2011-11-21 16:32:56] [25b6caf3839c2bdc14961e5bff2d6373]
- RM      [Multiple Regression] [Ws 7 - mini tutorial] [2011-11-21 16:40:18] [d003b870c357302420e03293d5e8342f] [Current]
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Dataseries X:
10708	12.3	23	154.25	67.75	36.2	93.1	85.2	94.5	59	37.3	21.9	32	27.4	17.1
10853	6.1	22	173.25	72.25	38.5	93.6	83	98.7	58.7	37.3	23.4	30.5	28.9	18.2
10414	25.3	22	154	66.25	34	95.8	87.9	99.2	59.6	38.9	24	28.8	25.2	16.6
10751	10.4	26	184.75	72.25	37.4	101.8	86.4	101.2	60.1	37.3	22.8	32.4	29.4	18.2
10340	28.7	24	184.25	71.25	34.4	97.3	100	101.9	63.2	42.2	24	32.2	27.7	17.7
10502	20.9	24	210.25	74.75	39	104.5	94.4	107.8	66	42	25.6	35.7	30.6	18.8
10549	19.2	26	181	69.75	36.4	105.1	90.7	100.3	58.4	38.3	22.9	31.9	27.8	17.7
10704	12.4	25	176	72.5	37.8	99.6	88.5	97.1	60	39.4	23.2	30.5	29	18.8
10900	4.1	25	191	74	38.1	100.9	82.5	99.9	62.9	38.3	23.8	35.9	31.1	18.2
10722	11.7	23	198.25	73.5	42.1	99.6	88.6	104.1	63.1	41.7	25	35.6	30	19.2
10830	7.1	26	186.25	74.5	38.5	101.5	83.6	98.2	59.7	39.7	25.2	32.8	29.4	18.5
10812	7.8	27	216	76	39.4	103.6	90.9	107.7	66.2	39.2	25.9	37.2	30.2	19
10513	20.8	32	180.5	69.5	38.4	102	91.6	103.9	63.4	38.3	21.5	32.5	28.6	17.7
10505	21.2	30	205.25	71.25	39.4	104.1	101.8	108.6	66	41.5	23.7	36.9	31.6	18.8
10484	22.1	35	187.75	69.5	40.5	101.3	96.4	100.1	69	39	23.1	36.1	30.5	18.2
10512	20.9	35	162.75	66	36.4	99.1	92.8	99.2	63.1	38.7	21.7	31.1	26.4	16.9
10333	29	34	195.75	71	38.9	101.9	96.4	105.2	64.8	40.8	23.1	36.2	30.8	17.3
10468	22.9	32	209.25	71	42.1	107.6	97.5	107	66.9	40	24.4	38.2	31.6	19.3
10622	16	28	183.75	67.75	38	106.8	89.6	102.4	64.2	38.7	22.9	37.2	30.5	18.5
10610	16.5	33	211.75	73.5	40	106.2	100.5	109	65.8	40.6	24	37.1	30.1	18.2
10551	19.1	28	179	68	39.1	103.3	95.9	104.9	63.5	38	22.1	32.5	30.3	18.4
10640	15.2	28	200.5	69.75	41.3	111.4	98.8	104.8	63.4	40.6	24.6	33	32.8	19.9
10631	15.6	31	140.25	68.25	33.9	86	76.4	94.6	57.4	35.3	22.2	27.9	25.9	16.7
10584	17.7	32	148.75	70	35.5	86.7	80	93.4	54.9	36.2	22.1	29.8	26.7	17.1
10668	14	28	151.25	67.75	34.5	90.2	76.3	95.8	58.4	35.5	22.9	31.1	28	17.6
10911	3.7	27	159.25	71.5	35.7	89.6	79.7	96.5	55	36.7	22.5	29.9	28.2	17.7
10811	7.9	34	131.5	67.5	36.2	88.6	74.6	85.3	51.7	34.7	21.4	28.7	27	16.5
10468	22.9	31	148	67.5	38.8	97.4	88.7	94.7	57.5	36	21	29.2	26.6	17
10910	3.7	27	133.25	64.75	36.4	93.5	73.9	88.5	50.1	34.5	21.3	30.5	27.9	17.2
10790	8.8	29	160.75	69	36.7	97.4	83.5	98.7	58.9	35.3	22.6	30.1	26.7	17.6
10716	11.9	32	182	73.75	38.7	100.5	88.7	99.8	57.5	38.7	33.9	32.5	27.7	18.4
10862	5.7	29	160.25	71.25	37.3	93.5	84.5	100.6	58.5	38.8	21.5	30.1	26.4	17.9
10719	11.8	27	168	71.25	38.1	93	79.1	94.5	57.3	36.2	24.5	29	30	18.8
10502	21.3	41	218.5	71	39.8	111.7	100.5	108.3	67.1	44.2	25.2	37.5	31.5	18.7
10263	32.3	41	247.25	73.5	42.1	117	115.6	116.1	71.2	43.3	26.3	37.3	31.7	19.7
10101	40.1	49	191.75	65	38.4	118.5	113.1	113.8	61.9	38.3	21.9	32	29.8	17
10438	24.2	40	202.25	70	38.5	106.5	100.9	106.2	63.5	39.9	22.6	35.1	30.6	19
10346	28.4	50	196.75	68.25	42.1	105.6	98.8	104.8	66	41.5	24.7	33.2	30.5	19.4
10202	35.2	46	363.15	72.25	51.2	136.2	148.1	147.7	87.3	49.1	29.6	45	29	21.4
10258	32.6	50	203	67	40.2	114.8	108.1	102.5	61.3	41.1	24.7	34.1	31	18.3
10217	34.5	45	262.75	68.75	43.2	128.3	126.2	125.6	72.5	39.6	26.6	36.4	32.7	21.4
10250	32.9	44	205	29.5	36.6	106	104.3	115.5	70.6	42.5	23.7	33.6	28.7	17.4
10279	31.6	48	217	70	37.3	113.3	111.2	114.1	67.7	40.9	25	36.7	29.8	18.4
10269	32	41	212	71.5	41.5	106.6	104.3	106	65	40.2	23	35.8	31.5	18.8
10814	7.7	39	125.25	68	31.5	85.1	76	88.2	50	34.7	21	26.1	23.1	16.1
10670	13.9	43	164.25	73.25	35.7	96.6	81.5	97.2	58.4	38.2	23.4	29.7	27.4	18.3
10742	10.8	40	133.5	67.5	33.6	88.2	73.7	88.5	53.3	34.5	22.5	27.9	26.2	17.3
10665	5.6	39	148.5	71.25	34.6	89.8	79.5	92.7	52.7	37.5	21.9	28.8	26.8	17.9
10678	13.6	45	135.75	68.5	32.8	92.3	83.4	90.4	52	35.8	20.6	28.8	25.5	16.3
10903	4	47	127.5	66.75	34	83.4	70.4	87.2	50.6	34.4	21.9	26.8	25.8	16.8
10756	10.2	47	158.25	72.25	34.9	90.2	86.7	98.3	52.6	37.2	22.4	26	25.8	17.3
10840	6.6	40	139.25	69	34.3	89.2	77.9	91	51.4	34.9	21	26.7	26.1	17.2
10807	8	51	137.25	67.75	36.5	89.7	82	89.1	49.3	33.7	21.4	29.6	26	16.9
10848	6.3	49	152.75	73.5	35.1	93.3	79.6	91.6	52.6	37.6	22.6	38.5	27.4	18.5
10906	3.9	42	136.25	67.5	37.8	87.6	77.6	88.6	51.9	34.9	22.5	27.7	27.5	18.5
10473	22.6	54	198	72	39.9	107.6	100	99.6	57.2	38	22	35.9	30.2	18.9
10524	20.4	58	181.5	68	39.1	100	99.8	102.5	62.1	39.6	22.5	33.1	28.3	18.5
10356	28	62	201.25	69.5	40.5	111.5	104.2	105.8	61.8	39.8	22.7	37.7	30.9	19.2
10280	31.5	54	202.5	70.75	40.5	115.4	105.3	97	59.1	38	22.5	31.6	28.8	18.2
10430	24.6	61	179.75	65.75	38.4	104.8	98.3	99.6	60.6	37.7	22.9	34.5	29.6	18.5
10396	26.1	62	216	73.25	41.4	112.3	104.8	103.1	61.6	40.9	23.1	36.2	31.8	20.2
10317	29.8	56	178.75	68.5	35.6	102.9	94.7	100.8	60.9	38	22.1	32.5	29.8	18.3
10298	30.7	54	193.25	70.25	38	107.6	102.4	99.4	61	39.4	23.6	32.7	29.9	19.1
10403	25.8	61	178	67	37.4	105.3	99.7	99.7	60.8	40.1	22.7	33.6	29	18.8
10264	32.3	57	205.5	70	40.1	105.3	105.5	108.3	65	41.2	24.7	35.3	31.1	18.4
10313	30	55	183.5	67.5	40.9	103	100.3	104.2	64.8	40.2	22.7	34.8	30.1	18.7
10499	21.5	54	151.5	70.75	35.6	90	83.9	93.9	55	36.1	21.7	29.6	27.4	17.4
10673	13.8	55	154.75	71.5	36.9	95.4	86.6	91.8	54.3	35.4	21.5	32.8	27.4	18.7
10847	6.3	54	155.25	69.25	37.5	89.3	78.4	96.1	56	37.4	22.4	32.6	28.1	18.1
10693	12.9	55	156.75	71.5	36.3	94.4	84.6	94.3	51.2	37.4	21.6	27.3	27.1	17.3
10439	24.3	62	167.5	71.5	35.5	97.6	91.5	98.5	56.6	38.6	22.4	31.5	27.3	18.6
10788	8.8	55	146.75	68.75	38.7	88.5	82.8	95.5	58.9	37.6	21.6	30.3	27.3	18.3
10796	8.5	56	160.75	73.75	36.4	93.6	82.9	96.3	52.9	37.5	23.1	29.7	27.3	18.2
10680	13.5	55	125	64	33.2	87.7	76	88.6	50.9	35.4	19.1	29.3	25.7	16.9
10720	11.8	61	143	65.75	36.5	93.4	83.3	93	55.5	35.2	20.9	29.4	27	16.8
10666	18.5	61	148.25	67.5	36	91.6	81.8	94.8	54.5	37	21.4	29.3	27	18.3
10790	8.8	57	162.5	69.5	38.7	91.6	78.8	94.3	56.7	39.7	24.2	30.2	29.2	18.1
10483	22.2	69	177.75	68.5	38.7	102	95	98.3	55	38.3	21.8	30.8	25.7	18.8
10498	21.5	81	161.25	70.25	37.8	96.4	95.4	99.3	53.5	37.5	21.5	31.4	26.8	18.3
10560	18.8	66	171.25	69.25	37.4	102.7	98.6	100.2	56.5	39.3	22.7	30.3	28.7	19
10283	31.4	67	163.75	67.75	38.4	97.7	95.8	97.1	54.8	38.2	23.7	29.4	27.2	19
10382	26.8	64	150.25	67.25	38.1	97.1	89	96.9	54.8	38	22	29.9	25.2	17.7
10568	18.4	64	190.25	72.75	39.3	103.1	97.8	99.6	58.9	39	23	34.3	29.6	19
10377	27	70	170.75	70	38.7	101.8	94.9	95	56	36.5	24.1	31.2	27.3	19.2
10378	27	72	168	69.25	38.5	101.4	99.8	96.2	56.3	36.6	22	29.7	26.3	18
10386	26.6	67	167	67.5	36.5	98.9	89.7	96.2	54.7	37.8	33.7	32.4	27.7	18.2
10648	14.9	72	157.75	67.25	37.7	97.5	88.1	96.9	57.2	37.7	21.8	32.6	28	18.8
10462	23.1	64	160	65.75	36.5	104.3	90.9	93.8	57.8	39.5	23.3	29.2	28.4	18.1
10800	8.3	46	176.75	72.5	38	97.3	86	99.3	61	38.4	23.8	30.2	29.3	18.8
10666	14.1	48	176	73	36.7	96.7	86.5	98.3	60.4	39.9	24.4	28.8	29.6	18.7
10520	20.5	46	177	70	37.2	99.7	95.6	102.2	58.3	38.2	22.5	29.1	27.7	17.7
10573	18.2	44	179.75	69.5	39.2	101.9	93.2	100.6	58.9	39.7	23.1	31.4	28.4	18.8
10795	8.5	47	165.25	70.5	37.5	97.2	83.1	95.4	56.9	38.3	22.1	30.1	28.2	18.4
10424	24.9	46	192.5	71.75	38	106.6	97.5	100.6	58.9	40.5	24.5	33.3	29.6	19.1
10785	9	47	184.25	74.5	37.3	99.6	88.8	101.4	57.4	39.6	24.6	30.3	27.9	17.8
10991	17.4	53	224.5	77.75	41.1	113.2	99.2	107.5	61.7	42.3	23.2	32.9	30.8	20.4
10770	9.6	38	188.75	73.25	37.5	99.1	91.6	102.4	60.6	39.4	22.9	31.6	30.1	18.5
10730	11.3	50	162.5	66.5	38.7	99.4	86.7	96.2	62.1	39.3	23.3	30.6	27.8	18.2
10582	17.8	46	156.5	68.25	35.9	95.1	88.2	92.8	54.7	37.3	21.9	31.6	27.5	18.2
10484	22.2	47	197	72	40	107.5	94	103.7	62.7	39	22.3	35.3	30.9	18.3
10506	21.2	49	198.5	73.5	40.1	106.5	95	101.7	59	39.4	22.3	32.2	31	18.6
10524	20.4	48	173.75	72	37	99.1	92	98.3	59.3	38.4	22.4	27.9	26.2	17
10530	20.1	41	172.75	71.25	36.3	96.7	89.2	98.3	60	38.4	23.2	31	29.2	18.4
10480	22.3	49	196.75	73.75	40.7	103.5	95.5	101.6	59.1	39.8	25.4	31	30.3	19.7
10412	25.4	43	177	69.25	39.6	104	98.6	99.5	59.5	36.1	22	30.1	27.2	17.7
10578	18	43	165.5	68.5	31.1	93.1	87.3	96.6	54.7	39	24.8	31	29.4	18.8
10547	19.3	43	200.25	73.5	38.6	105.2	102.8	103.6	61.2	39.3	23.5	30.5	28.5	18.1
10569	18.3	52	203.25	74.25	42	110	101.6	100.7	55.8	38.7	23.4	35.1	29.6	19.1
10593	17.3	43	194	75.5	38.5	110.1	88.7	102.1	57.5	40	24.8	35.1	30.7	19.2
10500	21.4	40	168.5	69.25	34.2	97.8	92.3	100.6	57.5	36.8	22.8	32.1	26	17.3
10538	19.7	43	170.75	68.5	37.2	96.3	90.6	99.3	61.9	38	22.3	33.3	28.2	18.1
10355	28	43	183.25	70	37.1	108	105	103	63.7	40	23.6	33.5	27.8	17.4
10486	22.1	47	178.25	70	40.2	99.7	95	98.6	62.3	38.1	23.9	35.3	31.1	19.8
10503	21.3	42	163	70.25	35.3	93.5	89.6	99.8	61.5	37.8	21.9	30.7	27.6	17.4
10384	26.7	48	175.25	71.75	38	100.7	92.4	97.5	59.3	38.1	21.8	31.8	27.3	17.5
10607	16.7	40	158	69.25	36.3	97	86.6	92.6	55.9	36.3	22.1	29.8	26.3	17.3
10529	20.1	48	177.25	72.75	36.8	96	90	99.7	58.8	38.4	22.8	29.9	28	18.1
10671	13.9	51	179	72	41	99.2	90	96.4	56.8	38.8	23.3	33.4	29.8	19.5
10404	25.8	40	191	74	38.3	95.4	92.4	104.3	64.6	41.1	24.8	33.6	29.5	18.5
10575	18.1	44	187.5	72.25	38	101.8	87.5	101	58.5	39.2	24.5	32.1	28.6	18
10358	27.9	52	206.5	74.5	40.8	104.3	99.2	104.1	58.5	39.3	24.6	33.9	31.2	19.5
10414	25.3	44	185.25	71.5	39.5	99.2	98.1	101.4	57.1	40.5	23.2	33	29.6	18.4
10652	14.7	40	160.25	68.75	36.9	99.3	83.3	97.5	60.5	38.7	22.6	34.4	28	17.6
10623	16	47	151.5	66.75	36.9	94	86.1	95.2	58.1	36.5	22.1	30.6	27.5	17.6
10674	13.8	50	161	66.5	37.7	98.9	84.1	94	58.5	36.6	23.5	34.4	29.2	18
10587	17.5	46	167	67	36.6	101	89.9	100	60.7	36	21.9	35.6	30.2	17.6
10373	27.2	42	177.5	68.75	38.9	98.7	92.1	98.5	60.7	36.8	22.2	33.8	30.3	17.2
10590	17.4	43	152.25	67.75	37.5	95.9	78	93.2	53.5	35.8	20.8	33.9	28.2	17.4
10515	20.8	40	192.25	73.25	39.8	103.9	93.5	99.5	61.7	39	21.8	33.3	29.6	18.1
10648	14.9	42	165.25	69.75	38.3	96.2	87	97.8	57.4	36.9	22.2	31.6	27.8	17.7
10575	18.1	49	171.75	71.5	35.5	97.8	90.1	95.8	57	38.7	23.2	27.5	26.5	17.6
10472	22.7	40	171.25	70.5	36.3	94.6	90.3	99.1	60.3	38.5	23	31.2	28.4	17.1
10452	23.6	47	197	73.25	37.8	103.6	99.8	103.2	61.2	38.1	22.6	33.5	28.6	17.9
10398	26.1	50	157	66.75	37.8	100.4	89.4	92.3	56.1	35.6	20.5	33.6	29.3	17.3
10435	24.4	41	168.25	69.5	36.5	98.4	87.2	98.4	56	36.9	23	34	29.8	18.1
10374	27.1	44	186	69.75	37.8	104.6	101.1	102.1	58.9	37.9	22.7	30.9	28.8	17.6
10491	21.8	39	166.75	70.75	37	92.9	86.1	95.6	58.8	36.1	22.4	32.7	28.3	17.1
10325	29.4	43	187.75	74	37.7	97.8	98.6	100.6	63.6	39.2	23.8	34.3	28.4	17.7
10481	22.4	40	168.25	71.25	34.3	98.3	88.5	98.3	58.1	38.4	22.5	31.7	27.4	17.6
10522	20.4	49	212.75	75	40.8	104.7	106.6	107.7	66.5	42.5	24.5	35.5	29.8	18.7
10422	24.9	40	176.75	71	37.4	98.6	93.1	101.6	59.1	39.6	21.6	30.8	27.9	16.6
10571	18.3	40	173.25	69.5	36.5	99.5	93	99.3	60.4	38.2	22	32	28.5	17.8
10459	23.3	52	167	67.75	37.5	102.7	91	98.9	57.1	36.7	22.3	31.6	27.5	17.9
10775	9.4	23	159.75	72.25	35.5	92.1	77.1	93.9	56.1	36.1	22.7	30.5	27.2	18.2
10754	10.3	23	188.15	77.5	38	96.6	85.3	102.5	59.1	37.6	23.2	31.8	29.7	18.3
10664	14.2	24	156	70.75	35.7	92.7	81.9	95.3	56.4	36.5	22	33.5	28.3	17.3
10550	19.2	24	208.5	72.75	39.2	102	99.1	110.1	71.2	43.5	25.2	36.1	30.3	18.7
10322	29.6	25	206.5	69.75	40.9	110.9	100.5	106.2	68.4	40.8	24.6	33.3	29.7	18.4
10873	5.3	25	143.75	72.5	35.2	92.3	76.5	92.1	51.9	35.7	22	25.8	25.2	16.9
10416	25.2	26	223	70.25	40.6	114.1	106.8	113.9	67.6	42.7	24.7	36	30.4	18.4
10776	9.4	26	152.25	69	35.4	92.9	77.6	93.5	56.9	35.9	20.4	31.6	29	17.8
10542	19.6	26	241.75	74.5	41.8	108.3	102.9	114.4	72.9	43.5	25.1	38.5	33.8	19.6
10758	10.1	27	146	72.25	34.1	88.5	72.8	91.1	53.6	36.8	23.8	27.8	26.3	17.4
10610	16.5	27	156.75	67.25	37.9	94	88.2	95.2	56.8	37.4	22.8	30.6	28.3	17.9
10510	21	27	200.25	73.5	38.2	101.1	100.1	105	62.1	40	24.9	33.7	29.2	19.4
10594	17.3	28	171.5	75.25	35.6	92.1	83.5	98.3	57.3	37.8	21.7	32.2	27.7	17.7
10287	31.2	28	205.75	69	38.5	105.6	105	106.4	68.6	40	25.2	35.2	30.7	19.1
10761	10	28	182.5	72.25	37	98.5	90.8	102.5	60.8	38.5	25	31.6	28	18.6
10704	12.5	30	136.5	68.75	35.9	88.7	76.6	89.8	50.1	34.8	21.8	27	34.9	16.9
10477	22.5	31	177.25	71.5	36.2	101.1	92.4	99.3	59.4	39	24.6	30.1	28.2	18.2
10775	9.4	31	151.25	72.25	35	94	81.2	91.5	52.5	36.6	21	27	26.3	16.5
10653	14.6	33	196	73	38.5	103.8	95.6	105.1	61.4	40.6	25	31.3	29.2	19.1
10690	13	33	184.25	68.75	40.7	98.9	92.1	103.5	64	37.3	23.5	33.5	30.6	19.7
10644	15.1	34	140	70.5	36	89.2	83.4	89.6	52.4	35.6	20.4	28.3	26.2	16.5
10370	27.3	34	218.75	72	39.5	111.4	106	108.8	63.8	42	23.4	34	31.2	18.5
10549	19.2	35	217	73.75	40.5	107.5	95.1	104.5	64.8	41.3	25.6	36.4	33.7	19.4
10492	21.8	35	166.25	68	38.5	99.1	90.4	95.6	55.5	34.2	21.9	30.2	28.7	17.7
10525	20.3	35	224.75	72.25	43.9	108.2	100.4	106.8	63.3	41.7	24.6	37.2	33.1	19.8
10180	34.3	35	228.25	69.5	40.4	114.9	115.9	111.9	74.4	40.6	24	36.1	31.8	18.8
10610	16.5	35	172.75	69.5	37.6	99.1	90.8	98.1	60.1	39.1	23.4	32.5	29.8	17.4
10926	3	35	152.25	67.75	37	92.2	81.9	92.8	54.7	36.2	22.1	30.4	27.4	17.7
10983	0.7	35	125.75	65.5	34	90.8	75	89.2	50	34.8	22	24.8	25.9	16.9
10521	20.5	35	177.25	71	38.4	100.5	90.3	98.7	57.8	37.3	22.4	31	28.7	17.7
10603	16.9	36	176.25	71.5	38.7	98.2	90.3	99.9	59.2	37.7	21.5	32.4	28.4	17.8
10414	25.3	36	226.75	71.75	41.5	115.3	108.8	114.4	69.2	42.4	24	35.4	21	20.1
10763	9.9	37	145.25	69.25	36	96.8	79.4	89.2	50.3	34.8	22.2	31	26.9	16.9
10689	13.1	37	151	67	35.3	92.6	83.2	96.4	60	38.1	22	31.5	26.6	16.7
10316	29.9	37	241.25	71.5	42.1	119.2	110.3	113.9	69.8	42.6	24.8	34.4	29.5	18.4
10477	22.5	38	187.25	69.25	38	102.7	92.7	101.9	64.7	39.5	24.7	34.8	30.3	18.1
10603	16.9	39	234.75	74.5	42.8	109.5	104.5	109.9	69.5	43.1	25.8	39.1	32.5	19.9
10387	26.6	39	219.25	74.25	40	108.5	104.6	109.8	68.1	42.8	24.1	35.6	29	19
11089	0	40	118.5	68	33.8	79.3	69.4	85	47.2	33.5	20.2	27.7	24.6	16.5
10725	11.5	40	145.75	67.25	35.5	95.5	83.6	91.6	54.1	36.2	21.8	31.4	28.3	17.2
10713	12.1	40	159.25	69.75	35.3	92.3	86.8	96.1	58	39.4	22.7	30	26.4	17.4
10587	17.5	40	170.5	74.25	37.7	98.9	90.4	95.5	55.4	38.9	22.4	30.5	28.9	17.7
10794	8.6	40	167.5	71.5	39.4	89.5	83.7	98.1	57.3	39.7	22.6	32.9	29.3	18.2
10453	23.6	41	232.75	74.25	41.9	117.5	109.3	108.8	67.7	41.3	24.7	37.2	31.8	20
10524	20.4	41	210.5	72	38.5	107.4	98.9	104.1	63.5	39.8	23.5	36.4	30.4	19.1
10520	20.5	41	202.25	72.5	40.8	109.2	98	101.8	62.8	41.3	24.8	36.6	32.4	18.8
10434	24.4	41	185	68.25	38	103.4	101.2	103.1	61.5	40.4	22.9	33.4	29.2	18.5
10728	11.4	41	153	69.25	36.4	91.4	80.6	92.3	54.3	36.3	21.8	29.6	27.3	17.9
10140	38.1	42	244.25	76	41.8	115.2	113.7	112.4	68.5	45	25.5	37.1	31.2	19.9
10624	15.9	42	193.5	70.5	40.7	104.9	94.1	102.7	60.6	38.6	24.7	34	30.1	18.7
10429	24.7	42	224.75	74.75	38.5	106.7	105.7	111.8	65.3	43.3	26	33.7	29.9	18.5
10470	22.8	42	162.75	72.75	35.4	92.2	85.6	96.5	60.2	38.9	22.4	31.7	27.1	17.1
10411	25.5	42	180	68.25	38.5	101.6	96.6	100.6	61.1	38.4	24.1	32.9	29.8	18.8
10488	22	42	156.25	69	35.5	97.8	86	96.2	57.7	38.6	24	31.2	27.3	17.4
10583	17.7	42	168	71.5	36.5	92	89.7	101	62.3	38	22.3	30.8	27.8	16.9
10841	6.6	42	167.25	72.75	37.6	94	78	99	57.5	40	22.5	30.6	30	18.5
10462	23.6	43	170.75	67.5	37.4	103.7	89.7	94.2	58.5	39	24.1	33.8	28.8	18.8
10709	12.2	43	178.25	70.25	37.8	102.7	89.2	99.2	60.2	39.2	23.8	31.7	28.4	18.6
10484	22.1	43	150	69.25	35.2	91.1	85.7	96.9	55.5	35.7	22	29.4	26.6	17.4
10340	28.7	43	200.5	71.5	37.9	107.2	103.1	105.5	68.8	38.3	23.7	32.1	28.9	18.7
10854	6	44	184	74	37.9	100.8	89.1	102.6	60.6	39	24	32.9	29.2	18.4
10209	34.8	44	223	69.75	40.9	121.6	113.9	107.1	63.5	40.3	21.8	34.8	30.7	17.4
10610	16.6	44	208.75	73	41.9	105.6	96.3	102	63.3	39.8	24.1	37.3	23.1	19.4
10250	32.9	44	166	65.5	39.1	100.6	93.9	100.1	58.9	37.6	21.4	33.1	29.5	17.3
10254	32.8	47	195	72.5	40.2	102.7	101.3	101.7	60.7	39.4	23.3	36.7	31.6	18.4
10771	9.6	47	160.5	70.25	36	99.8	83.9	91.8	53	36.2	22.5	31.4	27.5	17.7
10742	10.8	47	159.75	70.75	34.5	92.9	84.4	94	56	38.2	22.6	29	26.2	17.6
10829	7.1	49	140.5	68	35.8	91.2	79.4	89	51.1	35	21.7	30.9	28.8	17.4
10373	27.2	49	216.25	74.5	40.2	115.6	104	109	63.7	40.3	23.2	36.8	31	18.9
10543	19.5	49	168.25	71.75	38.3	98.3	89.7	99.1	56.3	38.8	23	29.5	27.9	18.6
10561	18.7	50	194.75	70.75	39	103.7	97.6	104.2	60	40.9	25.5	32.7	30	19
10543	19.5	50	172.75	73	37.4	98.7	87.6	96.1	57.1	38.1	21.8	28.6	26.7	18
1	47.5	51	219	64	41.2	119.8	122.1	112.8	62.5	36.9	23.6	34.7	29.1	18.4
10678	13.6	51	149.25	69.75	34.8	92.8	81.1	96.3	53.8	36.5	21.5	31.3	26.3	17.8
10819	7.5	51	154.5	70	36.9	93.3	81.5	94.4	54.7	39	22.6	27.5	25.9	18.6
10433	24.5	52	199.25	71.75	39.4	106.8	100	105	63.9	39.2	22.9	35.7	30.4	19.2
10646	15	53	154.5	69.25	37.6	93.9	88.7	94.5	53.7	36.2	22	28.5	25.7	17.1
10706	12.4	54	153.25	70.5	38.5	99	91.8	96.2	57.7	38.1	23.9	31.4	29.9	18.9
10399	26	54	230	72.25	42.5	119.9	110.4	105.5	64.2	42.7	27	38.4	32	19.6
10726	11.5	54	161.75	67.5	37.4	94.2	87.6	95.6	59.7	40.2	23.4	27.9	27	17.8
10874	5.2	55	142.25	67.25	35.2	92.7	82.8	91.9	54.4	35.2	22.5	29.4	26.8	17
10740	10.9	55	179.75	68.75	41.1	106.9	95.3	98.2	57.4	37.1	21.8	34.1	31.1	19.2
10703	12.5	55	126.5	66.75	33.4	88.8	78.2	87.5	50.8	33	19.7	25.3	22	15.8
10650	14.8	55	169.5	68.25	37.2	101.7	91.1	97.1	56.6	38.5	22.6	33.4	29.3	18.8
10418	25.2	55	198.5	74.25	38.3	105.3	96.7	106.6	64	42.6	23.4	33.2	30	18.4
10647	14.9	56	174.5	69.5	38.1	104	89.4	98.4	58.4	37.4	22.5	34.6	30.1	18.8
10601	17	56	167.75	68.5	37.4	98.6	93	97	55.4	38.8	23.2	32.4	29.7	19
10745	10.6	57	147.75	65.75	35.2	99.6	86.4	90.1	53	35	21.3	31.7	27.3	16.9
10620	16.1	57	182.25	71.75	39.4	103.4	96.7	100.7	59.3	38.6	22.8	31.8	29.1	19
10636	15.4	58	175.5	71.5	38	100.2	88.1	97.8	57.1	38.9	23.6	30.9	29.6	18
10384	26.7	58	161.75	67.25	35.1	94.9	94.9	100.2	56.8	35.9	21	27.8	26.1	17.6
10403	25.8	60	157.75	67.5	40.4	97.2	93.3	94	54.3	35.7	21	31.3	28.7	18.3
10563	18.6	62	168.75	67.5	38.3	104.7	95.6	93.7	54.4	37.1	22.7	30.3	26.3	18.3
10424	24.8	62	191.5	72.25	40.6	104	98.2	101.1	59.3	40.3	23	32.6	28.5	19
10372	27.3	63	219.15	69.5	40.2	117.6	113.8	111.8	63.4	41.1	22.3	35.1	29.6	18.5
10705	12.4	64	155.25	69.5	37.9	95.8	82.8	94.5	61.2	39.1	22.3	29.8	28.9	18.3
10316	29.9	65	189.75	65.75	40.8	106.4	100.5	100.5	59.2	38.1	24	35.9	30.5	19.1
10599	17	65	127.5	65.75	34.7	93	79.7	87.6	50.7	33.4	20.1	28.5	24.8	16.5
10207	35	65	224.5	68.25	38.8	119.6	118	114.3	61.3	42.1	23.4	34.9	30.1	19.4
10304	30.4	66	234.25	72	41.4	119.7	109	109.1	63.7	42.4	24.6	35.6	30.7	19.5
10256	32.6	67	227.75	72.75	41.3	115.8	113.4	109.8	65.6	46	25.4	35.3	29.8	19.5
10334	29	67	199.5	68.5	40.7	118.3	106.1	101.6	58.2	38.8	24.1	32.1	29.3	18.5
10641	15.2	68	155.5	69.25	36.3	97.4	84.3	94.4	54.3	37.5	22.6	29.2	27.3	18.5
10308	30.2	69	215.5	70.5	40.8	113.7	107.6	110	63.3	44	22.6	37.5	32.6	18.8
10736	11	70	134.25	67	34.9	89.2	83.6	88.8	49.6	34.8	21.5	25.6	25.7	18.5
10236	33.6	72	201	69.75	40.9	108.5	105	104.5	59.6	40.8	23.2	35.2	28.6	20.1
10328	29.3	72	186.75	66	38.9	111.1	111.5	101.7	60.3	37.3	21.5	31.3	27.2	18
10399	26	72	190.75	70.5	38.9	108.3	101.3	97.8	56	41.6	22.7	30.5	29.4	19.8
10271	31.9	74	207.5	70	40.8	112.4	108.5	107.1	59.3	42.2	24.6	33.7	30	20.9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time12 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=145811&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=145811&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145811&T=0

As an alternative you can also use a 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'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Multiple Linear Regression - Estimated Regression Equation
gewicht[t] = -291.277429489149 + 0.000140999570414567dichtheid[t] -0.123051384902782lichaamsvet[t] -0.116881852256061leeftijd[t] + 0.794105750968836grootte[t] + 1.19639559784944nekomtrek[t] + 0.744432389226988borstomtrek[t] + 0.447495182813054buikomtrek[t] + 1.43458595093597heupomtrek[t] + 0.175360524715819dijomtrek[t] + 1.1282040928431knieomtrek[t] + 0.776140676091069enkelomtrek[t] + 0.581831973572272bicepsomtrek[t] + 0.0970733916540659voorarmomtrek[t] + 1.20239039366935`polsomtrek `[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
gewicht[t] =  -291.277429489149 +  0.000140999570414567dichtheid[t] -0.123051384902782lichaamsvet[t] -0.116881852256061leeftijd[t] +  0.794105750968836grootte[t] +  1.19639559784944nekomtrek[t] +  0.744432389226988borstomtrek[t] +  0.447495182813054buikomtrek[t] +  1.43458595093597heupomtrek[t] +  0.175360524715819dijomtrek[t] +  1.1282040928431knieomtrek[t] +  0.776140676091069enkelomtrek[t] +  0.581831973572272bicepsomtrek[t] +  0.0970733916540659voorarmomtrek[t] +  1.20239039366935`polsomtrek
`[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145811&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]gewicht[t] =  -291.277429489149 +  0.000140999570414567dichtheid[t] -0.123051384902782lichaamsvet[t] -0.116881852256061leeftijd[t] +  0.794105750968836grootte[t] +  1.19639559784944nekomtrek[t] +  0.744432389226988borstomtrek[t] +  0.447495182813054buikomtrek[t] +  1.43458595093597heupomtrek[t] +  0.175360524715819dijomtrek[t] +  1.1282040928431knieomtrek[t] +  0.776140676091069enkelomtrek[t] +  0.581831973572272bicepsomtrek[t] +  0.0970733916540659voorarmomtrek[t] +  1.20239039366935`polsomtrek
`[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145811&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145811&T=1

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Estimated Regression Equation
gewicht[t] = -291.277429489149 + 0.000140999570414567dichtheid[t] -0.123051384902782lichaamsvet[t] -0.116881852256061leeftijd[t] + 0.794105750968836grootte[t] + 1.19639559784944nekomtrek[t] + 0.744432389226988borstomtrek[t] + 0.447495182813054buikomtrek[t] + 1.43458595093597heupomtrek[t] + 0.175360524715819dijomtrek[t] + 1.1282040928431knieomtrek[t] + 0.776140676091069enkelomtrek[t] + 0.581831973572272bicepsomtrek[t] + 0.0970733916540659voorarmomtrek[t] + 1.20239039366935`polsomtrek `[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-291.27742948914910.566795-27.565400
dichtheid0.0001409995704145670.0005620.2510.8020310.401016
lichaamsvet-0.1230513849027820.080461-1.52930.1275160.063758
leeftijd-0.1168818522560610.038787-3.01340.0028640.001432
grootte0.7941057509688360.1040077.635100
nekomtrek1.196395597849440.2722594.39431.7e-058e-06
borstomtrek0.7444323892269880.109436.802800
buikomtrek0.4474951828130540.1252263.57350.0004270.000213
heupomtrek1.434585950935970.1511299.492400
dijomtrek0.1753605247158190.1760560.99610.3202420.160121
knieomtrek1.12820409284310.2872873.92710.0001135.6e-05
enkelomtrek0.7761406760910690.2631962.94890.0035080.001754
bicepsomtrek0.5818319735722720.2034862.85930.0046240.002312
voorarmomtrek0.09707339165406590.2427970.39980.6896540.344827
`polsomtrek `1.202390393669350.6530911.84110.066860.03343

\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) & -291.277429489149 & 10.566795 & -27.5654 & 0 & 0 \tabularnewline
dichtheid & 0.000140999570414567 & 0.000562 & 0.251 & 0.802031 & 0.401016 \tabularnewline
lichaamsvet & -0.123051384902782 & 0.080461 & -1.5293 & 0.127516 & 0.063758 \tabularnewline
leeftijd & -0.116881852256061 & 0.038787 & -3.0134 & 0.002864 & 0.001432 \tabularnewline
grootte & 0.794105750968836 & 0.104007 & 7.6351 & 0 & 0 \tabularnewline
nekomtrek & 1.19639559784944 & 0.272259 & 4.3943 & 1.7e-05 & 8e-06 \tabularnewline
borstomtrek & 0.744432389226988 & 0.10943 & 6.8028 & 0 & 0 \tabularnewline
buikomtrek & 0.447495182813054 & 0.125226 & 3.5735 & 0.000427 & 0.000213 \tabularnewline
heupomtrek & 1.43458595093597 & 0.151129 & 9.4924 & 0 & 0 \tabularnewline
dijomtrek & 0.175360524715819 & 0.176056 & 0.9961 & 0.320242 & 0.160121 \tabularnewline
knieomtrek & 1.1282040928431 & 0.287287 & 3.9271 & 0.000113 & 5.6e-05 \tabularnewline
enkelomtrek & 0.776140676091069 & 0.263196 & 2.9489 & 0.003508 & 0.001754 \tabularnewline
bicepsomtrek & 0.581831973572272 & 0.203486 & 2.8593 & 0.004624 & 0.002312 \tabularnewline
voorarmomtrek & 0.0970733916540659 & 0.242797 & 0.3998 & 0.689654 & 0.344827 \tabularnewline
`polsomtrek
` & 1.20239039366935 & 0.653091 & 1.8411 & 0.06686 & 0.03343 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145811&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]-291.277429489149[/C][C]10.566795[/C][C]-27.5654[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]dichtheid[/C][C]0.000140999570414567[/C][C]0.000562[/C][C]0.251[/C][C]0.802031[/C][C]0.401016[/C][/ROW]
[ROW][C]lichaamsvet[/C][C]-0.123051384902782[/C][C]0.080461[/C][C]-1.5293[/C][C]0.127516[/C][C]0.063758[/C][/ROW]
[ROW][C]leeftijd[/C][C]-0.116881852256061[/C][C]0.038787[/C][C]-3.0134[/C][C]0.002864[/C][C]0.001432[/C][/ROW]
[ROW][C]grootte[/C][C]0.794105750968836[/C][C]0.104007[/C][C]7.6351[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]nekomtrek[/C][C]1.19639559784944[/C][C]0.272259[/C][C]4.3943[/C][C]1.7e-05[/C][C]8e-06[/C][/ROW]
[ROW][C]borstomtrek[/C][C]0.744432389226988[/C][C]0.10943[/C][C]6.8028[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]buikomtrek[/C][C]0.447495182813054[/C][C]0.125226[/C][C]3.5735[/C][C]0.000427[/C][C]0.000213[/C][/ROW]
[ROW][C]heupomtrek[/C][C]1.43458595093597[/C][C]0.151129[/C][C]9.4924[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]dijomtrek[/C][C]0.175360524715819[/C][C]0.176056[/C][C]0.9961[/C][C]0.320242[/C][C]0.160121[/C][/ROW]
[ROW][C]knieomtrek[/C][C]1.1282040928431[/C][C]0.287287[/C][C]3.9271[/C][C]0.000113[/C][C]5.6e-05[/C][/ROW]
[ROW][C]enkelomtrek[/C][C]0.776140676091069[/C][C]0.263196[/C][C]2.9489[/C][C]0.003508[/C][C]0.001754[/C][/ROW]
[ROW][C]bicepsomtrek[/C][C]0.581831973572272[/C][C]0.203486[/C][C]2.8593[/C][C]0.004624[/C][C]0.002312[/C][/ROW]
[ROW][C]voorarmomtrek[/C][C]0.0970733916540659[/C][C]0.242797[/C][C]0.3998[/C][C]0.689654[/C][C]0.344827[/C][/ROW]
[ROW][C]`polsomtrek
`[/C][C]1.20239039366935[/C][C]0.653091[/C][C]1.8411[/C][C]0.06686[/C][C]0.03343[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145811&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145811&T=2

As an alternative you can also use a 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)-291.27742948914910.566795-27.565400
dichtheid0.0001409995704145670.0005620.2510.8020310.401016
lichaamsvet-0.1230513849027820.080461-1.52930.1275160.063758
leeftijd-0.1168818522560610.038787-3.01340.0028640.001432
grootte0.7941057509688360.1040077.635100
nekomtrek1.196395597849440.2722594.39431.7e-058e-06
borstomtrek0.7444323892269880.109436.802800
buikomtrek0.4474951828130540.1252263.57350.0004270.000213
heupomtrek1.434585950935970.1511299.492400
dijomtrek0.1753605247158190.1760560.99610.3202420.160121
knieomtrek1.12820409284310.2872873.92710.0001135.6e-05
enkelomtrek0.7761406760910690.2631962.94890.0035080.001754
bicepsomtrek0.5818319735722720.2034862.85930.0046240.002312
voorarmomtrek0.09707339165406590.2427970.39980.6896540.344827
`polsomtrek `1.202390393669350.6530911.84110.066860.03343







Multiple Linear Regression - Regression Statistics
Multiple R0.985141548584998
R-squared0.970503870748449
Adjusted R-squared0.9687614833665
F-TEST (value)556.996613269387
F-TEST (DF numerator)14
F-TEST (DF denominator)237
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.19436391841762
Sum Squared Residuals6394.59571451925

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.985141548584998 \tabularnewline
R-squared & 0.970503870748449 \tabularnewline
Adjusted R-squared & 0.9687614833665 \tabularnewline
F-TEST (value) & 556.996613269387 \tabularnewline
F-TEST (DF numerator) & 14 \tabularnewline
F-TEST (DF denominator) & 237 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 5.19436391841762 \tabularnewline
Sum Squared Residuals & 6394.59571451925 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145811&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.985141548584998[/C][/ROW]
[ROW][C]R-squared[/C][C]0.970503870748449[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.9687614833665[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]556.996613269387[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]14[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]237[/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]5.19436391841762[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]6394.59571451925[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145811&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145811&T=3

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.985141548584998
R-squared0.970503870748449
Adjusted R-squared0.9687614833665
F-TEST (value)556.996613269387
F-TEST (DF numerator)14
F-TEST (DF denominator)237
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.19436391841762
Sum Squared Residuals6394.59571451925







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1154.25157.407456166155-3.15745616615471
2173.25171.7529695001681.49703049983232
3154162.884364922422-8.8843649224221
4184.75181.5720358873723.1779641126277
5184.25184.973514916096-0.723514916095714
6210.25210.704692725164-0.454692725163745
7181180.2290472846030.770952715396648
8176177.772731838354-1.77273183835384
9191185.0289211951595.97107880484091
10198.25202.201540372582-3.95154037258239
11186.25184.4056765825611.84432341743868
12216209.2845792502986.71542074970176
13180.5184.99654098446-4.49654098446008
14205.25210.583959892437-5.33395989243743
15187.75189.063534617729-1.31353461772919
16162.75169.660737362125-6.91073736212483
17195.75195.6494514560890.100548543910551
18209.25211.919873649359-2.66987364935927
19183.75190.287375905422-6.53737590542239
20211.75213.318143243447-1.56814324344661
21179190.802966638217-11.8029666382171
22200.5209.694682503945-9.19468250394541
23140.25139.3046286752630.945371324737013
24148.75144.8006760698573.94932393014264
25151.25149.0736951815572.17630481844316
26159.25156.8734930375112.37650696248935
27131.5127.9057510494553.59424895054539
28148158.845268496668-10.8452684966677
29133.25136.627839370718-3.37783937071782
30160.75164.901932617008-4.15193261700768
31182191.353108478949-9.35310847894861
32160.25171.424451821241-11.1744518212407
33168160.2811502855927.71884971440752
34218.5218.833541264616-0.33354126461555
35247.25245.7384786152741.51152138472567
36191.75212.141086123098-20.3910861230978
37202.25200.9068623351531.34313766484709
38196.75201.746637106708-4.99663710670767
39363.15347.04302260565216.1069773943477
40203203.636644932896-0.636644932895706
41262.75267.225830515848-4.47583051584774
42205181.44989525494323.5501047450574
43217222.46699738928-5.46699738927959
44212207.0618344841754.938165515825
45125.25121.3207731021563.92922689784351
46164.25165.639159322383-1.38915932238275
47133.5128.9448886051374.55511139486312
48148.5147.7939363384120.706063661587708
49135.75136.979826504587-1.22982650458744
50127.5119.6221556495467.87784435045358
51158.25156.5965560420921.65344395790839
52139.25135.840275838183.4097241618197
53137.25135.4035643258171.84643567418269
54152.75157.083970085878-4.33397008587796
55136.25137.708669660872-1.45866966087201
56198190.2757153258077.72428467419253
57181.5185.123604852621-3.62360485262139
58201.25205.926148341199-4.67614834119898
59202.5190.56872571028811.9312742897119
60179.75179.2049959769360.545004023064027
61216209.1443166664916.85568333350897
62178.75175.0490166667633.70098333323703
63193.25188.215733283185.03426671682031
64178182.3582900626-4.35829006260014
65205.5206.793713513128-1.29371351312837
66183.5193.625454827729-10.1254548277294
67151.5147.2906265103034.20937348969723
68154.75154.869455695629-0.119455695628558
69155.25155.306276224037-0.0562762240372315
70156.75153.0900869006223.65991309937802
71167.5168.319279943495-0.81927994349502
72146.75155.362629724805-8.61262972480497
73160.75161.021522861508-0.271522861508329
74125122.633945097352.36605490265023
75143143.349639874539-0.349639874539383
76148.25147.868982094610.38101790539023
77162.5158.4081632333734.09183676662731
78177.75172.3598417870995.3901582129005
79161.25167.259440647489-6.0094406474886
80171.25179.368336448154-8.11833644815438
81163.75166.812566748852-3.06256674885223
82150.25160.199273935737-9.94927393573727
83190.25186.5139358874453.73606411255536
84170.75168.6994794112352.05052058876515
85168167.3702981772050.629701822794919
86167169.943238547463-2.94323854746278
87157.75163.275062690341-5.52506269034107
88160162.935069265967-2.93506926596663
89176.75175.7681086001640.981891399836002
90176173.1330861712132.86691382878739
91177177.701852570965-0.701852570964755
92179.75183.482272260409-3.73227226040933
93165.25163.6752798988641.57472010113634
94192.5191.7490262374550.750973762544709
95184.25182.3548714911071.89512850889318
96224.5218.9394416648735.56055833512682
97188.75185.720555549993.02944445001002
98162.5168.609636065075-6.10963606507515
99156.5154.8008671343531.6991328656465
100197195.7096345990771.29036540092271
101198.5192.115906382856.38409361714973
102173.75169.8152686296183.93473137038218
103172.75170.7204332829082.02956671709172
104196.75194.1715729717932.5784270282069
105177178.366680238693-1.36668023869281
106165.5157.8675115691947.63248843080631
107200.25195.8819448653974.3680551346031
108203.25200.7795827537992.47041724620057
109194198.151773036306-4.1517730363062
110168.5168.530901226105-0.0309012261049508
111170.75171.257089383806-0.507089383806441
112183.25194.5601404109-11.3101404109
113178.25183.677121008545-5.42712100854513
114163165.455152825614-2.45515282561416
115175.25172.4135702511982.83642974880243
116158154.3167355028123.68326449718818
117177.25171.8986802889155.35131971108527
118179178.791428952090.208571047910168
119191190.5232352250980.476764774902148
120187.5182.1087795303185.39122046968177
121206.5199.9115693451116.58843065488937
122185.25187.094737850444-1.84473785044392
123160.25169.259486824943-9.00948682494346
124151.5155.146510934099-3.64651093409851
125161160.990088631760.00991136823967347
126167171.618733674573-4.61873367457275
127177.5171.7411587681535.75884123184749
128152.25151.0117298355981.23827016440157
129192.25186.4350700752135.8149299247872
130165.25166.834829559073-1.5848295590733
131171.75163.4663498639398.28365013606076
132171.25168.4760302916752.77396970832522
133197190.0712005357576.9287994642425
134157155.6304607540121.36953924598786
135168.25168.435561179427-0.185561179427059
136186184.5435082024731.45649179752674
137166.75159.0029006862837.74709931371737
138187.75184.4972685655673.25273143443329
139168.25167.4265964613970.823403538603221
140212.75215.147663147239-2.39766314723881
141176.75176.790066489461-0.0400664894614745
142173.25173.839241944433-0.589241944433157
143167170.277959464424-3.27795946442437
144159.75154.4688450760135.28115492398687
145188.15184.5977895900733.55221040992657
146156158.127559377896-2.12755937789567
147208.5215.490506079733-6.99050607973344
148206.5209.319417892649-2.81941789264875
149143.75145.668193537288-1.91819353728784
150223229.76287653621-6.76287653621039
151152.25150.1266315554292.12336844457091
152241.75235.3046365652186.44536343478192
153146142.2016759187683.79832408123182
154156.75161.72306695571-4.97306695571025
155200.25200.33418795092-0.0841879509196808
156171.5166.3536078840355.14639211596452
157205.75205.2976008902820.452399109717505
158182.5185.351352745938-2.85135274593816
159136.5136.2523604636460.247639536353996
160177.25178.604518271765-1.35451827176489
161151.25147.1872613447194.06273865528133
162196199.416822467888-3.41682246788816
163184.25189.072773343052-4.82277334305229
164140139.7442127865640.255787213435657
165218.75215.5213638569683.22863614303173
166217208.8771731250398.12282687496134
167166.25161.8164175887144.43358241128647
168224.75218.1076717220176.64232827798313
169228.25227.4765847079590.7734152920414
170172.75174.948440051557-2.19844005155655
171152.25151.5022432884270.747756711572577
172125.75130.275866468117-4.5258664681168
173177.25174.4421211558522.80787884414793
174176.25176.44900800289-0.199008002889699
175226.75233.536279490678-6.78627949067784
176145.25144.5975389390140.652461060985624
177151155.762168539079-4.76216853907906
178241.25235.3670882081935.88291179180698
179187.25187.597735546383-0.347735546382979
180234.75230.555494122324.19450587768045
181219.25219.578138959389-0.328138959388596
182118.5112.1717510446676.32824895533264
183145.75148.877719935239-3.12771993523909
184159.25160.287779709553-1.03777970955346
185170.5171.35528142638-0.855281426380277
186167.5169.491146349645-1.99114634964546
187232.75230.4728810329942.27711896700558
188210.5201.0631936241119.43680637588889
189202.25204.365104897605-2.11510489760513
190185190.876225944447-5.87622594444718
191153147.8932804272845.10671957271605
192244.25239.9178503034924.33214969650796
193193.5194.100079934578-0.600079934578318
194224.75220.0195607646184.73043923538194
195162.75161.4526545419941.29734545800584
196180182.966882940759-2.96688294075854
197156.25163.1669986551-6.91699865509994
198168169.140116946223-1.14011694622278
199167.25169.825957290889-2.57595729088927
200170.75171.12117687303-0.371176873030019
201178.25180.215645311025-1.96564531102547
202150152.43400472506-2.43400472505991
203200.5198.6701719366731.82982806332689
204184187.933194813577-3.93319481357657
205223217.8667203648575.13327963514259
206208.75201.1443662397517.60563376024936
207166172.563644775003-6.56364477500329
208195193.7129159176631.28708408233679
209160.5155.7765090311274.72349096887281
210159.75153.6877437005646.06225629943637
211140.5138.5664670270931.93353297290656
212216.25219.122108225176-2.87210822517623
213168.25174.102148806014-5.85214880601429
214194.75196.506239239315-1.75623923931528
215172.75166.0130239844526.73697601554808
216219218.7205924723320.27940752766753
217149.25152.610735815845-3.36073581584525
218154.5156.461899264118-1.96189926411847
219199.25200.1155878404-0.865587840400296
220154.5154.2936535117120.206346488288173
221153.25172.776210666322-19.5262106663223
222230228.3123586446531.68764135534676
223161.75161.5692428169570.180757183043134
224142.25143.467725506593-1.21772550659332
225179.75184.12350813032-4.3735081303202
226126.5119.1399595453297.36004045467069
227169.5172.236488530075-2.73648853007496
228198.5201.834054075461-3.3340540754615
229174.5176.765548644412-2.26554864441152
230167.75170.970020520714-3.22002052071391
231147.75145.3894450158742.36055498412583
232182.25186.217640194468-3.96764019446763
233175.5172.8208066948992.67919330510062
234161.75159.0112010007332.7387989992672
235157.75159.998488818747-2.24848881874734
236168.75166.4445831339742.30541686602589
237191.5190.5399087866830.960091213317389
238219.15221.939400880851-2.78940088085061
239155.25159.997573689109-4.74757368910926
240189.75187.0901769904592.65982300954061
241127.5125.8248147084181.67518529158168
242224.5227.650123371432-3.15012337143218
243234.25225.0650803716799.18491962832088
244227.75229.970276526254-2.2202765262538
245199.5199.619724383713-0.119724383712732
246155.5155.736384539122-0.236384539121779
247215.5219.659600774394-4.15960077439439
248134.25131.1458534968023.10414650319785
249201201.522927930049-0.522927930048958
250186.75187.446266942474-0.696266942473569
251190.75186.1330713439754.61692865602452
252207.5212.620157995044-5.12015799504367

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 154.25 & 157.407456166155 & -3.15745616615471 \tabularnewline
2 & 173.25 & 171.752969500168 & 1.49703049983232 \tabularnewline
3 & 154 & 162.884364922422 & -8.8843649224221 \tabularnewline
4 & 184.75 & 181.572035887372 & 3.1779641126277 \tabularnewline
5 & 184.25 & 184.973514916096 & -0.723514916095714 \tabularnewline
6 & 210.25 & 210.704692725164 & -0.454692725163745 \tabularnewline
7 & 181 & 180.229047284603 & 0.770952715396648 \tabularnewline
8 & 176 & 177.772731838354 & -1.77273183835384 \tabularnewline
9 & 191 & 185.028921195159 & 5.97107880484091 \tabularnewline
10 & 198.25 & 202.201540372582 & -3.95154037258239 \tabularnewline
11 & 186.25 & 184.405676582561 & 1.84432341743868 \tabularnewline
12 & 216 & 209.284579250298 & 6.71542074970176 \tabularnewline
13 & 180.5 & 184.99654098446 & -4.49654098446008 \tabularnewline
14 & 205.25 & 210.583959892437 & -5.33395989243743 \tabularnewline
15 & 187.75 & 189.063534617729 & -1.31353461772919 \tabularnewline
16 & 162.75 & 169.660737362125 & -6.91073736212483 \tabularnewline
17 & 195.75 & 195.649451456089 & 0.100548543910551 \tabularnewline
18 & 209.25 & 211.919873649359 & -2.66987364935927 \tabularnewline
19 & 183.75 & 190.287375905422 & -6.53737590542239 \tabularnewline
20 & 211.75 & 213.318143243447 & -1.56814324344661 \tabularnewline
21 & 179 & 190.802966638217 & -11.8029666382171 \tabularnewline
22 & 200.5 & 209.694682503945 & -9.19468250394541 \tabularnewline
23 & 140.25 & 139.304628675263 & 0.945371324737013 \tabularnewline
24 & 148.75 & 144.800676069857 & 3.94932393014264 \tabularnewline
25 & 151.25 & 149.073695181557 & 2.17630481844316 \tabularnewline
26 & 159.25 & 156.873493037511 & 2.37650696248935 \tabularnewline
27 & 131.5 & 127.905751049455 & 3.59424895054539 \tabularnewline
28 & 148 & 158.845268496668 & -10.8452684966677 \tabularnewline
29 & 133.25 & 136.627839370718 & -3.37783937071782 \tabularnewline
30 & 160.75 & 164.901932617008 & -4.15193261700768 \tabularnewline
31 & 182 & 191.353108478949 & -9.35310847894861 \tabularnewline
32 & 160.25 & 171.424451821241 & -11.1744518212407 \tabularnewline
33 & 168 & 160.281150285592 & 7.71884971440752 \tabularnewline
34 & 218.5 & 218.833541264616 & -0.33354126461555 \tabularnewline
35 & 247.25 & 245.738478615274 & 1.51152138472567 \tabularnewline
36 & 191.75 & 212.141086123098 & -20.3910861230978 \tabularnewline
37 & 202.25 & 200.906862335153 & 1.34313766484709 \tabularnewline
38 & 196.75 & 201.746637106708 & -4.99663710670767 \tabularnewline
39 & 363.15 & 347.043022605652 & 16.1069773943477 \tabularnewline
40 & 203 & 203.636644932896 & -0.636644932895706 \tabularnewline
41 & 262.75 & 267.225830515848 & -4.47583051584774 \tabularnewline
42 & 205 & 181.449895254943 & 23.5501047450574 \tabularnewline
43 & 217 & 222.46699738928 & -5.46699738927959 \tabularnewline
44 & 212 & 207.061834484175 & 4.938165515825 \tabularnewline
45 & 125.25 & 121.320773102156 & 3.92922689784351 \tabularnewline
46 & 164.25 & 165.639159322383 & -1.38915932238275 \tabularnewline
47 & 133.5 & 128.944888605137 & 4.55511139486312 \tabularnewline
48 & 148.5 & 147.793936338412 & 0.706063661587708 \tabularnewline
49 & 135.75 & 136.979826504587 & -1.22982650458744 \tabularnewline
50 & 127.5 & 119.622155649546 & 7.87784435045358 \tabularnewline
51 & 158.25 & 156.596556042092 & 1.65344395790839 \tabularnewline
52 & 139.25 & 135.84027583818 & 3.4097241618197 \tabularnewline
53 & 137.25 & 135.403564325817 & 1.84643567418269 \tabularnewline
54 & 152.75 & 157.083970085878 & -4.33397008587796 \tabularnewline
55 & 136.25 & 137.708669660872 & -1.45866966087201 \tabularnewline
56 & 198 & 190.275715325807 & 7.72428467419253 \tabularnewline
57 & 181.5 & 185.123604852621 & -3.62360485262139 \tabularnewline
58 & 201.25 & 205.926148341199 & -4.67614834119898 \tabularnewline
59 & 202.5 & 190.568725710288 & 11.9312742897119 \tabularnewline
60 & 179.75 & 179.204995976936 & 0.545004023064027 \tabularnewline
61 & 216 & 209.144316666491 & 6.85568333350897 \tabularnewline
62 & 178.75 & 175.049016666763 & 3.70098333323703 \tabularnewline
63 & 193.25 & 188.21573328318 & 5.03426671682031 \tabularnewline
64 & 178 & 182.3582900626 & -4.35829006260014 \tabularnewline
65 & 205.5 & 206.793713513128 & -1.29371351312837 \tabularnewline
66 & 183.5 & 193.625454827729 & -10.1254548277294 \tabularnewline
67 & 151.5 & 147.290626510303 & 4.20937348969723 \tabularnewline
68 & 154.75 & 154.869455695629 & -0.119455695628558 \tabularnewline
69 & 155.25 & 155.306276224037 & -0.0562762240372315 \tabularnewline
70 & 156.75 & 153.090086900622 & 3.65991309937802 \tabularnewline
71 & 167.5 & 168.319279943495 & -0.81927994349502 \tabularnewline
72 & 146.75 & 155.362629724805 & -8.61262972480497 \tabularnewline
73 & 160.75 & 161.021522861508 & -0.271522861508329 \tabularnewline
74 & 125 & 122.63394509735 & 2.36605490265023 \tabularnewline
75 & 143 & 143.349639874539 & -0.349639874539383 \tabularnewline
76 & 148.25 & 147.86898209461 & 0.38101790539023 \tabularnewline
77 & 162.5 & 158.408163233373 & 4.09183676662731 \tabularnewline
78 & 177.75 & 172.359841787099 & 5.3901582129005 \tabularnewline
79 & 161.25 & 167.259440647489 & -6.0094406474886 \tabularnewline
80 & 171.25 & 179.368336448154 & -8.11833644815438 \tabularnewline
81 & 163.75 & 166.812566748852 & -3.06256674885223 \tabularnewline
82 & 150.25 & 160.199273935737 & -9.94927393573727 \tabularnewline
83 & 190.25 & 186.513935887445 & 3.73606411255536 \tabularnewline
84 & 170.75 & 168.699479411235 & 2.05052058876515 \tabularnewline
85 & 168 & 167.370298177205 & 0.629701822794919 \tabularnewline
86 & 167 & 169.943238547463 & -2.94323854746278 \tabularnewline
87 & 157.75 & 163.275062690341 & -5.52506269034107 \tabularnewline
88 & 160 & 162.935069265967 & -2.93506926596663 \tabularnewline
89 & 176.75 & 175.768108600164 & 0.981891399836002 \tabularnewline
90 & 176 & 173.133086171213 & 2.86691382878739 \tabularnewline
91 & 177 & 177.701852570965 & -0.701852570964755 \tabularnewline
92 & 179.75 & 183.482272260409 & -3.73227226040933 \tabularnewline
93 & 165.25 & 163.675279898864 & 1.57472010113634 \tabularnewline
94 & 192.5 & 191.749026237455 & 0.750973762544709 \tabularnewline
95 & 184.25 & 182.354871491107 & 1.89512850889318 \tabularnewline
96 & 224.5 & 218.939441664873 & 5.56055833512682 \tabularnewline
97 & 188.75 & 185.72055554999 & 3.02944445001002 \tabularnewline
98 & 162.5 & 168.609636065075 & -6.10963606507515 \tabularnewline
99 & 156.5 & 154.800867134353 & 1.6991328656465 \tabularnewline
100 & 197 & 195.709634599077 & 1.29036540092271 \tabularnewline
101 & 198.5 & 192.11590638285 & 6.38409361714973 \tabularnewline
102 & 173.75 & 169.815268629618 & 3.93473137038218 \tabularnewline
103 & 172.75 & 170.720433282908 & 2.02956671709172 \tabularnewline
104 & 196.75 & 194.171572971793 & 2.5784270282069 \tabularnewline
105 & 177 & 178.366680238693 & -1.36668023869281 \tabularnewline
106 & 165.5 & 157.867511569194 & 7.63248843080631 \tabularnewline
107 & 200.25 & 195.881944865397 & 4.3680551346031 \tabularnewline
108 & 203.25 & 200.779582753799 & 2.47041724620057 \tabularnewline
109 & 194 & 198.151773036306 & -4.1517730363062 \tabularnewline
110 & 168.5 & 168.530901226105 & -0.0309012261049508 \tabularnewline
111 & 170.75 & 171.257089383806 & -0.507089383806441 \tabularnewline
112 & 183.25 & 194.5601404109 & -11.3101404109 \tabularnewline
113 & 178.25 & 183.677121008545 & -5.42712100854513 \tabularnewline
114 & 163 & 165.455152825614 & -2.45515282561416 \tabularnewline
115 & 175.25 & 172.413570251198 & 2.83642974880243 \tabularnewline
116 & 158 & 154.316735502812 & 3.68326449718818 \tabularnewline
117 & 177.25 & 171.898680288915 & 5.35131971108527 \tabularnewline
118 & 179 & 178.79142895209 & 0.208571047910168 \tabularnewline
119 & 191 & 190.523235225098 & 0.476764774902148 \tabularnewline
120 & 187.5 & 182.108779530318 & 5.39122046968177 \tabularnewline
121 & 206.5 & 199.911569345111 & 6.58843065488937 \tabularnewline
122 & 185.25 & 187.094737850444 & -1.84473785044392 \tabularnewline
123 & 160.25 & 169.259486824943 & -9.00948682494346 \tabularnewline
124 & 151.5 & 155.146510934099 & -3.64651093409851 \tabularnewline
125 & 161 & 160.99008863176 & 0.00991136823967347 \tabularnewline
126 & 167 & 171.618733674573 & -4.61873367457275 \tabularnewline
127 & 177.5 & 171.741158768153 & 5.75884123184749 \tabularnewline
128 & 152.25 & 151.011729835598 & 1.23827016440157 \tabularnewline
129 & 192.25 & 186.435070075213 & 5.8149299247872 \tabularnewline
130 & 165.25 & 166.834829559073 & -1.5848295590733 \tabularnewline
131 & 171.75 & 163.466349863939 & 8.28365013606076 \tabularnewline
132 & 171.25 & 168.476030291675 & 2.77396970832522 \tabularnewline
133 & 197 & 190.071200535757 & 6.9287994642425 \tabularnewline
134 & 157 & 155.630460754012 & 1.36953924598786 \tabularnewline
135 & 168.25 & 168.435561179427 & -0.185561179427059 \tabularnewline
136 & 186 & 184.543508202473 & 1.45649179752674 \tabularnewline
137 & 166.75 & 159.002900686283 & 7.74709931371737 \tabularnewline
138 & 187.75 & 184.497268565567 & 3.25273143443329 \tabularnewline
139 & 168.25 & 167.426596461397 & 0.823403538603221 \tabularnewline
140 & 212.75 & 215.147663147239 & -2.39766314723881 \tabularnewline
141 & 176.75 & 176.790066489461 & -0.0400664894614745 \tabularnewline
142 & 173.25 & 173.839241944433 & -0.589241944433157 \tabularnewline
143 & 167 & 170.277959464424 & -3.27795946442437 \tabularnewline
144 & 159.75 & 154.468845076013 & 5.28115492398687 \tabularnewline
145 & 188.15 & 184.597789590073 & 3.55221040992657 \tabularnewline
146 & 156 & 158.127559377896 & -2.12755937789567 \tabularnewline
147 & 208.5 & 215.490506079733 & -6.99050607973344 \tabularnewline
148 & 206.5 & 209.319417892649 & -2.81941789264875 \tabularnewline
149 & 143.75 & 145.668193537288 & -1.91819353728784 \tabularnewline
150 & 223 & 229.76287653621 & -6.76287653621039 \tabularnewline
151 & 152.25 & 150.126631555429 & 2.12336844457091 \tabularnewline
152 & 241.75 & 235.304636565218 & 6.44536343478192 \tabularnewline
153 & 146 & 142.201675918768 & 3.79832408123182 \tabularnewline
154 & 156.75 & 161.72306695571 & -4.97306695571025 \tabularnewline
155 & 200.25 & 200.33418795092 & -0.0841879509196808 \tabularnewline
156 & 171.5 & 166.353607884035 & 5.14639211596452 \tabularnewline
157 & 205.75 & 205.297600890282 & 0.452399109717505 \tabularnewline
158 & 182.5 & 185.351352745938 & -2.85135274593816 \tabularnewline
159 & 136.5 & 136.252360463646 & 0.247639536353996 \tabularnewline
160 & 177.25 & 178.604518271765 & -1.35451827176489 \tabularnewline
161 & 151.25 & 147.187261344719 & 4.06273865528133 \tabularnewline
162 & 196 & 199.416822467888 & -3.41682246788816 \tabularnewline
163 & 184.25 & 189.072773343052 & -4.82277334305229 \tabularnewline
164 & 140 & 139.744212786564 & 0.255787213435657 \tabularnewline
165 & 218.75 & 215.521363856968 & 3.22863614303173 \tabularnewline
166 & 217 & 208.877173125039 & 8.12282687496134 \tabularnewline
167 & 166.25 & 161.816417588714 & 4.43358241128647 \tabularnewline
168 & 224.75 & 218.107671722017 & 6.64232827798313 \tabularnewline
169 & 228.25 & 227.476584707959 & 0.7734152920414 \tabularnewline
170 & 172.75 & 174.948440051557 & -2.19844005155655 \tabularnewline
171 & 152.25 & 151.502243288427 & 0.747756711572577 \tabularnewline
172 & 125.75 & 130.275866468117 & -4.5258664681168 \tabularnewline
173 & 177.25 & 174.442121155852 & 2.80787884414793 \tabularnewline
174 & 176.25 & 176.44900800289 & -0.199008002889699 \tabularnewline
175 & 226.75 & 233.536279490678 & -6.78627949067784 \tabularnewline
176 & 145.25 & 144.597538939014 & 0.652461060985624 \tabularnewline
177 & 151 & 155.762168539079 & -4.76216853907906 \tabularnewline
178 & 241.25 & 235.367088208193 & 5.88291179180698 \tabularnewline
179 & 187.25 & 187.597735546383 & -0.347735546382979 \tabularnewline
180 & 234.75 & 230.55549412232 & 4.19450587768045 \tabularnewline
181 & 219.25 & 219.578138959389 & -0.328138959388596 \tabularnewline
182 & 118.5 & 112.171751044667 & 6.32824895533264 \tabularnewline
183 & 145.75 & 148.877719935239 & -3.12771993523909 \tabularnewline
184 & 159.25 & 160.287779709553 & -1.03777970955346 \tabularnewline
185 & 170.5 & 171.35528142638 & -0.855281426380277 \tabularnewline
186 & 167.5 & 169.491146349645 & -1.99114634964546 \tabularnewline
187 & 232.75 & 230.472881032994 & 2.27711896700558 \tabularnewline
188 & 210.5 & 201.063193624111 & 9.43680637588889 \tabularnewline
189 & 202.25 & 204.365104897605 & -2.11510489760513 \tabularnewline
190 & 185 & 190.876225944447 & -5.87622594444718 \tabularnewline
191 & 153 & 147.893280427284 & 5.10671957271605 \tabularnewline
192 & 244.25 & 239.917850303492 & 4.33214969650796 \tabularnewline
193 & 193.5 & 194.100079934578 & -0.600079934578318 \tabularnewline
194 & 224.75 & 220.019560764618 & 4.73043923538194 \tabularnewline
195 & 162.75 & 161.452654541994 & 1.29734545800584 \tabularnewline
196 & 180 & 182.966882940759 & -2.96688294075854 \tabularnewline
197 & 156.25 & 163.1669986551 & -6.91699865509994 \tabularnewline
198 & 168 & 169.140116946223 & -1.14011694622278 \tabularnewline
199 & 167.25 & 169.825957290889 & -2.57595729088927 \tabularnewline
200 & 170.75 & 171.12117687303 & -0.371176873030019 \tabularnewline
201 & 178.25 & 180.215645311025 & -1.96564531102547 \tabularnewline
202 & 150 & 152.43400472506 & -2.43400472505991 \tabularnewline
203 & 200.5 & 198.670171936673 & 1.82982806332689 \tabularnewline
204 & 184 & 187.933194813577 & -3.93319481357657 \tabularnewline
205 & 223 & 217.866720364857 & 5.13327963514259 \tabularnewline
206 & 208.75 & 201.144366239751 & 7.60563376024936 \tabularnewline
207 & 166 & 172.563644775003 & -6.56364477500329 \tabularnewline
208 & 195 & 193.712915917663 & 1.28708408233679 \tabularnewline
209 & 160.5 & 155.776509031127 & 4.72349096887281 \tabularnewline
210 & 159.75 & 153.687743700564 & 6.06225629943637 \tabularnewline
211 & 140.5 & 138.566467027093 & 1.93353297290656 \tabularnewline
212 & 216.25 & 219.122108225176 & -2.87210822517623 \tabularnewline
213 & 168.25 & 174.102148806014 & -5.85214880601429 \tabularnewline
214 & 194.75 & 196.506239239315 & -1.75623923931528 \tabularnewline
215 & 172.75 & 166.013023984452 & 6.73697601554808 \tabularnewline
216 & 219 & 218.720592472332 & 0.27940752766753 \tabularnewline
217 & 149.25 & 152.610735815845 & -3.36073581584525 \tabularnewline
218 & 154.5 & 156.461899264118 & -1.96189926411847 \tabularnewline
219 & 199.25 & 200.1155878404 & -0.865587840400296 \tabularnewline
220 & 154.5 & 154.293653511712 & 0.206346488288173 \tabularnewline
221 & 153.25 & 172.776210666322 & -19.5262106663223 \tabularnewline
222 & 230 & 228.312358644653 & 1.68764135534676 \tabularnewline
223 & 161.75 & 161.569242816957 & 0.180757183043134 \tabularnewline
224 & 142.25 & 143.467725506593 & -1.21772550659332 \tabularnewline
225 & 179.75 & 184.12350813032 & -4.3735081303202 \tabularnewline
226 & 126.5 & 119.139959545329 & 7.36004045467069 \tabularnewline
227 & 169.5 & 172.236488530075 & -2.73648853007496 \tabularnewline
228 & 198.5 & 201.834054075461 & -3.3340540754615 \tabularnewline
229 & 174.5 & 176.765548644412 & -2.26554864441152 \tabularnewline
230 & 167.75 & 170.970020520714 & -3.22002052071391 \tabularnewline
231 & 147.75 & 145.389445015874 & 2.36055498412583 \tabularnewline
232 & 182.25 & 186.217640194468 & -3.96764019446763 \tabularnewline
233 & 175.5 & 172.820806694899 & 2.67919330510062 \tabularnewline
234 & 161.75 & 159.011201000733 & 2.7387989992672 \tabularnewline
235 & 157.75 & 159.998488818747 & -2.24848881874734 \tabularnewline
236 & 168.75 & 166.444583133974 & 2.30541686602589 \tabularnewline
237 & 191.5 & 190.539908786683 & 0.960091213317389 \tabularnewline
238 & 219.15 & 221.939400880851 & -2.78940088085061 \tabularnewline
239 & 155.25 & 159.997573689109 & -4.74757368910926 \tabularnewline
240 & 189.75 & 187.090176990459 & 2.65982300954061 \tabularnewline
241 & 127.5 & 125.824814708418 & 1.67518529158168 \tabularnewline
242 & 224.5 & 227.650123371432 & -3.15012337143218 \tabularnewline
243 & 234.25 & 225.065080371679 & 9.18491962832088 \tabularnewline
244 & 227.75 & 229.970276526254 & -2.2202765262538 \tabularnewline
245 & 199.5 & 199.619724383713 & -0.119724383712732 \tabularnewline
246 & 155.5 & 155.736384539122 & -0.236384539121779 \tabularnewline
247 & 215.5 & 219.659600774394 & -4.15960077439439 \tabularnewline
248 & 134.25 & 131.145853496802 & 3.10414650319785 \tabularnewline
249 & 201 & 201.522927930049 & -0.522927930048958 \tabularnewline
250 & 186.75 & 187.446266942474 & -0.696266942473569 \tabularnewline
251 & 190.75 & 186.133071343975 & 4.61692865602452 \tabularnewline
252 & 207.5 & 212.620157995044 & -5.12015799504367 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145811&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]154.25[/C][C]157.407456166155[/C][C]-3.15745616615471[/C][/ROW]
[ROW][C]2[/C][C]173.25[/C][C]171.752969500168[/C][C]1.49703049983232[/C][/ROW]
[ROW][C]3[/C][C]154[/C][C]162.884364922422[/C][C]-8.8843649224221[/C][/ROW]
[ROW][C]4[/C][C]184.75[/C][C]181.572035887372[/C][C]3.1779641126277[/C][/ROW]
[ROW][C]5[/C][C]184.25[/C][C]184.973514916096[/C][C]-0.723514916095714[/C][/ROW]
[ROW][C]6[/C][C]210.25[/C][C]210.704692725164[/C][C]-0.454692725163745[/C][/ROW]
[ROW][C]7[/C][C]181[/C][C]180.229047284603[/C][C]0.770952715396648[/C][/ROW]
[ROW][C]8[/C][C]176[/C][C]177.772731838354[/C][C]-1.77273183835384[/C][/ROW]
[ROW][C]9[/C][C]191[/C][C]185.028921195159[/C][C]5.97107880484091[/C][/ROW]
[ROW][C]10[/C][C]198.25[/C][C]202.201540372582[/C][C]-3.95154037258239[/C][/ROW]
[ROW][C]11[/C][C]186.25[/C][C]184.405676582561[/C][C]1.84432341743868[/C][/ROW]
[ROW][C]12[/C][C]216[/C][C]209.284579250298[/C][C]6.71542074970176[/C][/ROW]
[ROW][C]13[/C][C]180.5[/C][C]184.99654098446[/C][C]-4.49654098446008[/C][/ROW]
[ROW][C]14[/C][C]205.25[/C][C]210.583959892437[/C][C]-5.33395989243743[/C][/ROW]
[ROW][C]15[/C][C]187.75[/C][C]189.063534617729[/C][C]-1.31353461772919[/C][/ROW]
[ROW][C]16[/C][C]162.75[/C][C]169.660737362125[/C][C]-6.91073736212483[/C][/ROW]
[ROW][C]17[/C][C]195.75[/C][C]195.649451456089[/C][C]0.100548543910551[/C][/ROW]
[ROW][C]18[/C][C]209.25[/C][C]211.919873649359[/C][C]-2.66987364935927[/C][/ROW]
[ROW][C]19[/C][C]183.75[/C][C]190.287375905422[/C][C]-6.53737590542239[/C][/ROW]
[ROW][C]20[/C][C]211.75[/C][C]213.318143243447[/C][C]-1.56814324344661[/C][/ROW]
[ROW][C]21[/C][C]179[/C][C]190.802966638217[/C][C]-11.8029666382171[/C][/ROW]
[ROW][C]22[/C][C]200.5[/C][C]209.694682503945[/C][C]-9.19468250394541[/C][/ROW]
[ROW][C]23[/C][C]140.25[/C][C]139.304628675263[/C][C]0.945371324737013[/C][/ROW]
[ROW][C]24[/C][C]148.75[/C][C]144.800676069857[/C][C]3.94932393014264[/C][/ROW]
[ROW][C]25[/C][C]151.25[/C][C]149.073695181557[/C][C]2.17630481844316[/C][/ROW]
[ROW][C]26[/C][C]159.25[/C][C]156.873493037511[/C][C]2.37650696248935[/C][/ROW]
[ROW][C]27[/C][C]131.5[/C][C]127.905751049455[/C][C]3.59424895054539[/C][/ROW]
[ROW][C]28[/C][C]148[/C][C]158.845268496668[/C][C]-10.8452684966677[/C][/ROW]
[ROW][C]29[/C][C]133.25[/C][C]136.627839370718[/C][C]-3.37783937071782[/C][/ROW]
[ROW][C]30[/C][C]160.75[/C][C]164.901932617008[/C][C]-4.15193261700768[/C][/ROW]
[ROW][C]31[/C][C]182[/C][C]191.353108478949[/C][C]-9.35310847894861[/C][/ROW]
[ROW][C]32[/C][C]160.25[/C][C]171.424451821241[/C][C]-11.1744518212407[/C][/ROW]
[ROW][C]33[/C][C]168[/C][C]160.281150285592[/C][C]7.71884971440752[/C][/ROW]
[ROW][C]34[/C][C]218.5[/C][C]218.833541264616[/C][C]-0.33354126461555[/C][/ROW]
[ROW][C]35[/C][C]247.25[/C][C]245.738478615274[/C][C]1.51152138472567[/C][/ROW]
[ROW][C]36[/C][C]191.75[/C][C]212.141086123098[/C][C]-20.3910861230978[/C][/ROW]
[ROW][C]37[/C][C]202.25[/C][C]200.906862335153[/C][C]1.34313766484709[/C][/ROW]
[ROW][C]38[/C][C]196.75[/C][C]201.746637106708[/C][C]-4.99663710670767[/C][/ROW]
[ROW][C]39[/C][C]363.15[/C][C]347.043022605652[/C][C]16.1069773943477[/C][/ROW]
[ROW][C]40[/C][C]203[/C][C]203.636644932896[/C][C]-0.636644932895706[/C][/ROW]
[ROW][C]41[/C][C]262.75[/C][C]267.225830515848[/C][C]-4.47583051584774[/C][/ROW]
[ROW][C]42[/C][C]205[/C][C]181.449895254943[/C][C]23.5501047450574[/C][/ROW]
[ROW][C]43[/C][C]217[/C][C]222.46699738928[/C][C]-5.46699738927959[/C][/ROW]
[ROW][C]44[/C][C]212[/C][C]207.061834484175[/C][C]4.938165515825[/C][/ROW]
[ROW][C]45[/C][C]125.25[/C][C]121.320773102156[/C][C]3.92922689784351[/C][/ROW]
[ROW][C]46[/C][C]164.25[/C][C]165.639159322383[/C][C]-1.38915932238275[/C][/ROW]
[ROW][C]47[/C][C]133.5[/C][C]128.944888605137[/C][C]4.55511139486312[/C][/ROW]
[ROW][C]48[/C][C]148.5[/C][C]147.793936338412[/C][C]0.706063661587708[/C][/ROW]
[ROW][C]49[/C][C]135.75[/C][C]136.979826504587[/C][C]-1.22982650458744[/C][/ROW]
[ROW][C]50[/C][C]127.5[/C][C]119.622155649546[/C][C]7.87784435045358[/C][/ROW]
[ROW][C]51[/C][C]158.25[/C][C]156.596556042092[/C][C]1.65344395790839[/C][/ROW]
[ROW][C]52[/C][C]139.25[/C][C]135.84027583818[/C][C]3.4097241618197[/C][/ROW]
[ROW][C]53[/C][C]137.25[/C][C]135.403564325817[/C][C]1.84643567418269[/C][/ROW]
[ROW][C]54[/C][C]152.75[/C][C]157.083970085878[/C][C]-4.33397008587796[/C][/ROW]
[ROW][C]55[/C][C]136.25[/C][C]137.708669660872[/C][C]-1.45866966087201[/C][/ROW]
[ROW][C]56[/C][C]198[/C][C]190.275715325807[/C][C]7.72428467419253[/C][/ROW]
[ROW][C]57[/C][C]181.5[/C][C]185.123604852621[/C][C]-3.62360485262139[/C][/ROW]
[ROW][C]58[/C][C]201.25[/C][C]205.926148341199[/C][C]-4.67614834119898[/C][/ROW]
[ROW][C]59[/C][C]202.5[/C][C]190.568725710288[/C][C]11.9312742897119[/C][/ROW]
[ROW][C]60[/C][C]179.75[/C][C]179.204995976936[/C][C]0.545004023064027[/C][/ROW]
[ROW][C]61[/C][C]216[/C][C]209.144316666491[/C][C]6.85568333350897[/C][/ROW]
[ROW][C]62[/C][C]178.75[/C][C]175.049016666763[/C][C]3.70098333323703[/C][/ROW]
[ROW][C]63[/C][C]193.25[/C][C]188.21573328318[/C][C]5.03426671682031[/C][/ROW]
[ROW][C]64[/C][C]178[/C][C]182.3582900626[/C][C]-4.35829006260014[/C][/ROW]
[ROW][C]65[/C][C]205.5[/C][C]206.793713513128[/C][C]-1.29371351312837[/C][/ROW]
[ROW][C]66[/C][C]183.5[/C][C]193.625454827729[/C][C]-10.1254548277294[/C][/ROW]
[ROW][C]67[/C][C]151.5[/C][C]147.290626510303[/C][C]4.20937348969723[/C][/ROW]
[ROW][C]68[/C][C]154.75[/C][C]154.869455695629[/C][C]-0.119455695628558[/C][/ROW]
[ROW][C]69[/C][C]155.25[/C][C]155.306276224037[/C][C]-0.0562762240372315[/C][/ROW]
[ROW][C]70[/C][C]156.75[/C][C]153.090086900622[/C][C]3.65991309937802[/C][/ROW]
[ROW][C]71[/C][C]167.5[/C][C]168.319279943495[/C][C]-0.81927994349502[/C][/ROW]
[ROW][C]72[/C][C]146.75[/C][C]155.362629724805[/C][C]-8.61262972480497[/C][/ROW]
[ROW][C]73[/C][C]160.75[/C][C]161.021522861508[/C][C]-0.271522861508329[/C][/ROW]
[ROW][C]74[/C][C]125[/C][C]122.63394509735[/C][C]2.36605490265023[/C][/ROW]
[ROW][C]75[/C][C]143[/C][C]143.349639874539[/C][C]-0.349639874539383[/C][/ROW]
[ROW][C]76[/C][C]148.25[/C][C]147.86898209461[/C][C]0.38101790539023[/C][/ROW]
[ROW][C]77[/C][C]162.5[/C][C]158.408163233373[/C][C]4.09183676662731[/C][/ROW]
[ROW][C]78[/C][C]177.75[/C][C]172.359841787099[/C][C]5.3901582129005[/C][/ROW]
[ROW][C]79[/C][C]161.25[/C][C]167.259440647489[/C][C]-6.0094406474886[/C][/ROW]
[ROW][C]80[/C][C]171.25[/C][C]179.368336448154[/C][C]-8.11833644815438[/C][/ROW]
[ROW][C]81[/C][C]163.75[/C][C]166.812566748852[/C][C]-3.06256674885223[/C][/ROW]
[ROW][C]82[/C][C]150.25[/C][C]160.199273935737[/C][C]-9.94927393573727[/C][/ROW]
[ROW][C]83[/C][C]190.25[/C][C]186.513935887445[/C][C]3.73606411255536[/C][/ROW]
[ROW][C]84[/C][C]170.75[/C][C]168.699479411235[/C][C]2.05052058876515[/C][/ROW]
[ROW][C]85[/C][C]168[/C][C]167.370298177205[/C][C]0.629701822794919[/C][/ROW]
[ROW][C]86[/C][C]167[/C][C]169.943238547463[/C][C]-2.94323854746278[/C][/ROW]
[ROW][C]87[/C][C]157.75[/C][C]163.275062690341[/C][C]-5.52506269034107[/C][/ROW]
[ROW][C]88[/C][C]160[/C][C]162.935069265967[/C][C]-2.93506926596663[/C][/ROW]
[ROW][C]89[/C][C]176.75[/C][C]175.768108600164[/C][C]0.981891399836002[/C][/ROW]
[ROW][C]90[/C][C]176[/C][C]173.133086171213[/C][C]2.86691382878739[/C][/ROW]
[ROW][C]91[/C][C]177[/C][C]177.701852570965[/C][C]-0.701852570964755[/C][/ROW]
[ROW][C]92[/C][C]179.75[/C][C]183.482272260409[/C][C]-3.73227226040933[/C][/ROW]
[ROW][C]93[/C][C]165.25[/C][C]163.675279898864[/C][C]1.57472010113634[/C][/ROW]
[ROW][C]94[/C][C]192.5[/C][C]191.749026237455[/C][C]0.750973762544709[/C][/ROW]
[ROW][C]95[/C][C]184.25[/C][C]182.354871491107[/C][C]1.89512850889318[/C][/ROW]
[ROW][C]96[/C][C]224.5[/C][C]218.939441664873[/C][C]5.56055833512682[/C][/ROW]
[ROW][C]97[/C][C]188.75[/C][C]185.72055554999[/C][C]3.02944445001002[/C][/ROW]
[ROW][C]98[/C][C]162.5[/C][C]168.609636065075[/C][C]-6.10963606507515[/C][/ROW]
[ROW][C]99[/C][C]156.5[/C][C]154.800867134353[/C][C]1.6991328656465[/C][/ROW]
[ROW][C]100[/C][C]197[/C][C]195.709634599077[/C][C]1.29036540092271[/C][/ROW]
[ROW][C]101[/C][C]198.5[/C][C]192.11590638285[/C][C]6.38409361714973[/C][/ROW]
[ROW][C]102[/C][C]173.75[/C][C]169.815268629618[/C][C]3.93473137038218[/C][/ROW]
[ROW][C]103[/C][C]172.75[/C][C]170.720433282908[/C][C]2.02956671709172[/C][/ROW]
[ROW][C]104[/C][C]196.75[/C][C]194.171572971793[/C][C]2.5784270282069[/C][/ROW]
[ROW][C]105[/C][C]177[/C][C]178.366680238693[/C][C]-1.36668023869281[/C][/ROW]
[ROW][C]106[/C][C]165.5[/C][C]157.867511569194[/C][C]7.63248843080631[/C][/ROW]
[ROW][C]107[/C][C]200.25[/C][C]195.881944865397[/C][C]4.3680551346031[/C][/ROW]
[ROW][C]108[/C][C]203.25[/C][C]200.779582753799[/C][C]2.47041724620057[/C][/ROW]
[ROW][C]109[/C][C]194[/C][C]198.151773036306[/C][C]-4.1517730363062[/C][/ROW]
[ROW][C]110[/C][C]168.5[/C][C]168.530901226105[/C][C]-0.0309012261049508[/C][/ROW]
[ROW][C]111[/C][C]170.75[/C][C]171.257089383806[/C][C]-0.507089383806441[/C][/ROW]
[ROW][C]112[/C][C]183.25[/C][C]194.5601404109[/C][C]-11.3101404109[/C][/ROW]
[ROW][C]113[/C][C]178.25[/C][C]183.677121008545[/C][C]-5.42712100854513[/C][/ROW]
[ROW][C]114[/C][C]163[/C][C]165.455152825614[/C][C]-2.45515282561416[/C][/ROW]
[ROW][C]115[/C][C]175.25[/C][C]172.413570251198[/C][C]2.83642974880243[/C][/ROW]
[ROW][C]116[/C][C]158[/C][C]154.316735502812[/C][C]3.68326449718818[/C][/ROW]
[ROW][C]117[/C][C]177.25[/C][C]171.898680288915[/C][C]5.35131971108527[/C][/ROW]
[ROW][C]118[/C][C]179[/C][C]178.79142895209[/C][C]0.208571047910168[/C][/ROW]
[ROW][C]119[/C][C]191[/C][C]190.523235225098[/C][C]0.476764774902148[/C][/ROW]
[ROW][C]120[/C][C]187.5[/C][C]182.108779530318[/C][C]5.39122046968177[/C][/ROW]
[ROW][C]121[/C][C]206.5[/C][C]199.911569345111[/C][C]6.58843065488937[/C][/ROW]
[ROW][C]122[/C][C]185.25[/C][C]187.094737850444[/C][C]-1.84473785044392[/C][/ROW]
[ROW][C]123[/C][C]160.25[/C][C]169.259486824943[/C][C]-9.00948682494346[/C][/ROW]
[ROW][C]124[/C][C]151.5[/C][C]155.146510934099[/C][C]-3.64651093409851[/C][/ROW]
[ROW][C]125[/C][C]161[/C][C]160.99008863176[/C][C]0.00991136823967347[/C][/ROW]
[ROW][C]126[/C][C]167[/C][C]171.618733674573[/C][C]-4.61873367457275[/C][/ROW]
[ROW][C]127[/C][C]177.5[/C][C]171.741158768153[/C][C]5.75884123184749[/C][/ROW]
[ROW][C]128[/C][C]152.25[/C][C]151.011729835598[/C][C]1.23827016440157[/C][/ROW]
[ROW][C]129[/C][C]192.25[/C][C]186.435070075213[/C][C]5.8149299247872[/C][/ROW]
[ROW][C]130[/C][C]165.25[/C][C]166.834829559073[/C][C]-1.5848295590733[/C][/ROW]
[ROW][C]131[/C][C]171.75[/C][C]163.466349863939[/C][C]8.28365013606076[/C][/ROW]
[ROW][C]132[/C][C]171.25[/C][C]168.476030291675[/C][C]2.77396970832522[/C][/ROW]
[ROW][C]133[/C][C]197[/C][C]190.071200535757[/C][C]6.9287994642425[/C][/ROW]
[ROW][C]134[/C][C]157[/C][C]155.630460754012[/C][C]1.36953924598786[/C][/ROW]
[ROW][C]135[/C][C]168.25[/C][C]168.435561179427[/C][C]-0.185561179427059[/C][/ROW]
[ROW][C]136[/C][C]186[/C][C]184.543508202473[/C][C]1.45649179752674[/C][/ROW]
[ROW][C]137[/C][C]166.75[/C][C]159.002900686283[/C][C]7.74709931371737[/C][/ROW]
[ROW][C]138[/C][C]187.75[/C][C]184.497268565567[/C][C]3.25273143443329[/C][/ROW]
[ROW][C]139[/C][C]168.25[/C][C]167.426596461397[/C][C]0.823403538603221[/C][/ROW]
[ROW][C]140[/C][C]212.75[/C][C]215.147663147239[/C][C]-2.39766314723881[/C][/ROW]
[ROW][C]141[/C][C]176.75[/C][C]176.790066489461[/C][C]-0.0400664894614745[/C][/ROW]
[ROW][C]142[/C][C]173.25[/C][C]173.839241944433[/C][C]-0.589241944433157[/C][/ROW]
[ROW][C]143[/C][C]167[/C][C]170.277959464424[/C][C]-3.27795946442437[/C][/ROW]
[ROW][C]144[/C][C]159.75[/C][C]154.468845076013[/C][C]5.28115492398687[/C][/ROW]
[ROW][C]145[/C][C]188.15[/C][C]184.597789590073[/C][C]3.55221040992657[/C][/ROW]
[ROW][C]146[/C][C]156[/C][C]158.127559377896[/C][C]-2.12755937789567[/C][/ROW]
[ROW][C]147[/C][C]208.5[/C][C]215.490506079733[/C][C]-6.99050607973344[/C][/ROW]
[ROW][C]148[/C][C]206.5[/C][C]209.319417892649[/C][C]-2.81941789264875[/C][/ROW]
[ROW][C]149[/C][C]143.75[/C][C]145.668193537288[/C][C]-1.91819353728784[/C][/ROW]
[ROW][C]150[/C][C]223[/C][C]229.76287653621[/C][C]-6.76287653621039[/C][/ROW]
[ROW][C]151[/C][C]152.25[/C][C]150.126631555429[/C][C]2.12336844457091[/C][/ROW]
[ROW][C]152[/C][C]241.75[/C][C]235.304636565218[/C][C]6.44536343478192[/C][/ROW]
[ROW][C]153[/C][C]146[/C][C]142.201675918768[/C][C]3.79832408123182[/C][/ROW]
[ROW][C]154[/C][C]156.75[/C][C]161.72306695571[/C][C]-4.97306695571025[/C][/ROW]
[ROW][C]155[/C][C]200.25[/C][C]200.33418795092[/C][C]-0.0841879509196808[/C][/ROW]
[ROW][C]156[/C][C]171.5[/C][C]166.353607884035[/C][C]5.14639211596452[/C][/ROW]
[ROW][C]157[/C][C]205.75[/C][C]205.297600890282[/C][C]0.452399109717505[/C][/ROW]
[ROW][C]158[/C][C]182.5[/C][C]185.351352745938[/C][C]-2.85135274593816[/C][/ROW]
[ROW][C]159[/C][C]136.5[/C][C]136.252360463646[/C][C]0.247639536353996[/C][/ROW]
[ROW][C]160[/C][C]177.25[/C][C]178.604518271765[/C][C]-1.35451827176489[/C][/ROW]
[ROW][C]161[/C][C]151.25[/C][C]147.187261344719[/C][C]4.06273865528133[/C][/ROW]
[ROW][C]162[/C][C]196[/C][C]199.416822467888[/C][C]-3.41682246788816[/C][/ROW]
[ROW][C]163[/C][C]184.25[/C][C]189.072773343052[/C][C]-4.82277334305229[/C][/ROW]
[ROW][C]164[/C][C]140[/C][C]139.744212786564[/C][C]0.255787213435657[/C][/ROW]
[ROW][C]165[/C][C]218.75[/C][C]215.521363856968[/C][C]3.22863614303173[/C][/ROW]
[ROW][C]166[/C][C]217[/C][C]208.877173125039[/C][C]8.12282687496134[/C][/ROW]
[ROW][C]167[/C][C]166.25[/C][C]161.816417588714[/C][C]4.43358241128647[/C][/ROW]
[ROW][C]168[/C][C]224.75[/C][C]218.107671722017[/C][C]6.64232827798313[/C][/ROW]
[ROW][C]169[/C][C]228.25[/C][C]227.476584707959[/C][C]0.7734152920414[/C][/ROW]
[ROW][C]170[/C][C]172.75[/C][C]174.948440051557[/C][C]-2.19844005155655[/C][/ROW]
[ROW][C]171[/C][C]152.25[/C][C]151.502243288427[/C][C]0.747756711572577[/C][/ROW]
[ROW][C]172[/C][C]125.75[/C][C]130.275866468117[/C][C]-4.5258664681168[/C][/ROW]
[ROW][C]173[/C][C]177.25[/C][C]174.442121155852[/C][C]2.80787884414793[/C][/ROW]
[ROW][C]174[/C][C]176.25[/C][C]176.44900800289[/C][C]-0.199008002889699[/C][/ROW]
[ROW][C]175[/C][C]226.75[/C][C]233.536279490678[/C][C]-6.78627949067784[/C][/ROW]
[ROW][C]176[/C][C]145.25[/C][C]144.597538939014[/C][C]0.652461060985624[/C][/ROW]
[ROW][C]177[/C][C]151[/C][C]155.762168539079[/C][C]-4.76216853907906[/C][/ROW]
[ROW][C]178[/C][C]241.25[/C][C]235.367088208193[/C][C]5.88291179180698[/C][/ROW]
[ROW][C]179[/C][C]187.25[/C][C]187.597735546383[/C][C]-0.347735546382979[/C][/ROW]
[ROW][C]180[/C][C]234.75[/C][C]230.55549412232[/C][C]4.19450587768045[/C][/ROW]
[ROW][C]181[/C][C]219.25[/C][C]219.578138959389[/C][C]-0.328138959388596[/C][/ROW]
[ROW][C]182[/C][C]118.5[/C][C]112.171751044667[/C][C]6.32824895533264[/C][/ROW]
[ROW][C]183[/C][C]145.75[/C][C]148.877719935239[/C][C]-3.12771993523909[/C][/ROW]
[ROW][C]184[/C][C]159.25[/C][C]160.287779709553[/C][C]-1.03777970955346[/C][/ROW]
[ROW][C]185[/C][C]170.5[/C][C]171.35528142638[/C][C]-0.855281426380277[/C][/ROW]
[ROW][C]186[/C][C]167.5[/C][C]169.491146349645[/C][C]-1.99114634964546[/C][/ROW]
[ROW][C]187[/C][C]232.75[/C][C]230.472881032994[/C][C]2.27711896700558[/C][/ROW]
[ROW][C]188[/C][C]210.5[/C][C]201.063193624111[/C][C]9.43680637588889[/C][/ROW]
[ROW][C]189[/C][C]202.25[/C][C]204.365104897605[/C][C]-2.11510489760513[/C][/ROW]
[ROW][C]190[/C][C]185[/C][C]190.876225944447[/C][C]-5.87622594444718[/C][/ROW]
[ROW][C]191[/C][C]153[/C][C]147.893280427284[/C][C]5.10671957271605[/C][/ROW]
[ROW][C]192[/C][C]244.25[/C][C]239.917850303492[/C][C]4.33214969650796[/C][/ROW]
[ROW][C]193[/C][C]193.5[/C][C]194.100079934578[/C][C]-0.600079934578318[/C][/ROW]
[ROW][C]194[/C][C]224.75[/C][C]220.019560764618[/C][C]4.73043923538194[/C][/ROW]
[ROW][C]195[/C][C]162.75[/C][C]161.452654541994[/C][C]1.29734545800584[/C][/ROW]
[ROW][C]196[/C][C]180[/C][C]182.966882940759[/C][C]-2.96688294075854[/C][/ROW]
[ROW][C]197[/C][C]156.25[/C][C]163.1669986551[/C][C]-6.91699865509994[/C][/ROW]
[ROW][C]198[/C][C]168[/C][C]169.140116946223[/C][C]-1.14011694622278[/C][/ROW]
[ROW][C]199[/C][C]167.25[/C][C]169.825957290889[/C][C]-2.57595729088927[/C][/ROW]
[ROW][C]200[/C][C]170.75[/C][C]171.12117687303[/C][C]-0.371176873030019[/C][/ROW]
[ROW][C]201[/C][C]178.25[/C][C]180.215645311025[/C][C]-1.96564531102547[/C][/ROW]
[ROW][C]202[/C][C]150[/C][C]152.43400472506[/C][C]-2.43400472505991[/C][/ROW]
[ROW][C]203[/C][C]200.5[/C][C]198.670171936673[/C][C]1.82982806332689[/C][/ROW]
[ROW][C]204[/C][C]184[/C][C]187.933194813577[/C][C]-3.93319481357657[/C][/ROW]
[ROW][C]205[/C][C]223[/C][C]217.866720364857[/C][C]5.13327963514259[/C][/ROW]
[ROW][C]206[/C][C]208.75[/C][C]201.144366239751[/C][C]7.60563376024936[/C][/ROW]
[ROW][C]207[/C][C]166[/C][C]172.563644775003[/C][C]-6.56364477500329[/C][/ROW]
[ROW][C]208[/C][C]195[/C][C]193.712915917663[/C][C]1.28708408233679[/C][/ROW]
[ROW][C]209[/C][C]160.5[/C][C]155.776509031127[/C][C]4.72349096887281[/C][/ROW]
[ROW][C]210[/C][C]159.75[/C][C]153.687743700564[/C][C]6.06225629943637[/C][/ROW]
[ROW][C]211[/C][C]140.5[/C][C]138.566467027093[/C][C]1.93353297290656[/C][/ROW]
[ROW][C]212[/C][C]216.25[/C][C]219.122108225176[/C][C]-2.87210822517623[/C][/ROW]
[ROW][C]213[/C][C]168.25[/C][C]174.102148806014[/C][C]-5.85214880601429[/C][/ROW]
[ROW][C]214[/C][C]194.75[/C][C]196.506239239315[/C][C]-1.75623923931528[/C][/ROW]
[ROW][C]215[/C][C]172.75[/C][C]166.013023984452[/C][C]6.73697601554808[/C][/ROW]
[ROW][C]216[/C][C]219[/C][C]218.720592472332[/C][C]0.27940752766753[/C][/ROW]
[ROW][C]217[/C][C]149.25[/C][C]152.610735815845[/C][C]-3.36073581584525[/C][/ROW]
[ROW][C]218[/C][C]154.5[/C][C]156.461899264118[/C][C]-1.96189926411847[/C][/ROW]
[ROW][C]219[/C][C]199.25[/C][C]200.1155878404[/C][C]-0.865587840400296[/C][/ROW]
[ROW][C]220[/C][C]154.5[/C][C]154.293653511712[/C][C]0.206346488288173[/C][/ROW]
[ROW][C]221[/C][C]153.25[/C][C]172.776210666322[/C][C]-19.5262106663223[/C][/ROW]
[ROW][C]222[/C][C]230[/C][C]228.312358644653[/C][C]1.68764135534676[/C][/ROW]
[ROW][C]223[/C][C]161.75[/C][C]161.569242816957[/C][C]0.180757183043134[/C][/ROW]
[ROW][C]224[/C][C]142.25[/C][C]143.467725506593[/C][C]-1.21772550659332[/C][/ROW]
[ROW][C]225[/C][C]179.75[/C][C]184.12350813032[/C][C]-4.3735081303202[/C][/ROW]
[ROW][C]226[/C][C]126.5[/C][C]119.139959545329[/C][C]7.36004045467069[/C][/ROW]
[ROW][C]227[/C][C]169.5[/C][C]172.236488530075[/C][C]-2.73648853007496[/C][/ROW]
[ROW][C]228[/C][C]198.5[/C][C]201.834054075461[/C][C]-3.3340540754615[/C][/ROW]
[ROW][C]229[/C][C]174.5[/C][C]176.765548644412[/C][C]-2.26554864441152[/C][/ROW]
[ROW][C]230[/C][C]167.75[/C][C]170.970020520714[/C][C]-3.22002052071391[/C][/ROW]
[ROW][C]231[/C][C]147.75[/C][C]145.389445015874[/C][C]2.36055498412583[/C][/ROW]
[ROW][C]232[/C][C]182.25[/C][C]186.217640194468[/C][C]-3.96764019446763[/C][/ROW]
[ROW][C]233[/C][C]175.5[/C][C]172.820806694899[/C][C]2.67919330510062[/C][/ROW]
[ROW][C]234[/C][C]161.75[/C][C]159.011201000733[/C][C]2.7387989992672[/C][/ROW]
[ROW][C]235[/C][C]157.75[/C][C]159.998488818747[/C][C]-2.24848881874734[/C][/ROW]
[ROW][C]236[/C][C]168.75[/C][C]166.444583133974[/C][C]2.30541686602589[/C][/ROW]
[ROW][C]237[/C][C]191.5[/C][C]190.539908786683[/C][C]0.960091213317389[/C][/ROW]
[ROW][C]238[/C][C]219.15[/C][C]221.939400880851[/C][C]-2.78940088085061[/C][/ROW]
[ROW][C]239[/C][C]155.25[/C][C]159.997573689109[/C][C]-4.74757368910926[/C][/ROW]
[ROW][C]240[/C][C]189.75[/C][C]187.090176990459[/C][C]2.65982300954061[/C][/ROW]
[ROW][C]241[/C][C]127.5[/C][C]125.824814708418[/C][C]1.67518529158168[/C][/ROW]
[ROW][C]242[/C][C]224.5[/C][C]227.650123371432[/C][C]-3.15012337143218[/C][/ROW]
[ROW][C]243[/C][C]234.25[/C][C]225.065080371679[/C][C]9.18491962832088[/C][/ROW]
[ROW][C]244[/C][C]227.75[/C][C]229.970276526254[/C][C]-2.2202765262538[/C][/ROW]
[ROW][C]245[/C][C]199.5[/C][C]199.619724383713[/C][C]-0.119724383712732[/C][/ROW]
[ROW][C]246[/C][C]155.5[/C][C]155.736384539122[/C][C]-0.236384539121779[/C][/ROW]
[ROW][C]247[/C][C]215.5[/C][C]219.659600774394[/C][C]-4.15960077439439[/C][/ROW]
[ROW][C]248[/C][C]134.25[/C][C]131.145853496802[/C][C]3.10414650319785[/C][/ROW]
[ROW][C]249[/C][C]201[/C][C]201.522927930049[/C][C]-0.522927930048958[/C][/ROW]
[ROW][C]250[/C][C]186.75[/C][C]187.446266942474[/C][C]-0.696266942473569[/C][/ROW]
[ROW][C]251[/C][C]190.75[/C][C]186.133071343975[/C][C]4.61692865602452[/C][/ROW]
[ROW][C]252[/C][C]207.5[/C][C]212.620157995044[/C][C]-5.12015799504367[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145811&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145811&T=4

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1154.25157.407456166155-3.15745616615471
2173.25171.7529695001681.49703049983232
3154162.884364922422-8.8843649224221
4184.75181.5720358873723.1779641126277
5184.25184.973514916096-0.723514916095714
6210.25210.704692725164-0.454692725163745
7181180.2290472846030.770952715396648
8176177.772731838354-1.77273183835384
9191185.0289211951595.97107880484091
10198.25202.201540372582-3.95154037258239
11186.25184.4056765825611.84432341743868
12216209.2845792502986.71542074970176
13180.5184.99654098446-4.49654098446008
14205.25210.583959892437-5.33395989243743
15187.75189.063534617729-1.31353461772919
16162.75169.660737362125-6.91073736212483
17195.75195.6494514560890.100548543910551
18209.25211.919873649359-2.66987364935927
19183.75190.287375905422-6.53737590542239
20211.75213.318143243447-1.56814324344661
21179190.802966638217-11.8029666382171
22200.5209.694682503945-9.19468250394541
23140.25139.3046286752630.945371324737013
24148.75144.8006760698573.94932393014264
25151.25149.0736951815572.17630481844316
26159.25156.8734930375112.37650696248935
27131.5127.9057510494553.59424895054539
28148158.845268496668-10.8452684966677
29133.25136.627839370718-3.37783937071782
30160.75164.901932617008-4.15193261700768
31182191.353108478949-9.35310847894861
32160.25171.424451821241-11.1744518212407
33168160.2811502855927.71884971440752
34218.5218.833541264616-0.33354126461555
35247.25245.7384786152741.51152138472567
36191.75212.141086123098-20.3910861230978
37202.25200.9068623351531.34313766484709
38196.75201.746637106708-4.99663710670767
39363.15347.04302260565216.1069773943477
40203203.636644932896-0.636644932895706
41262.75267.225830515848-4.47583051584774
42205181.44989525494323.5501047450574
43217222.46699738928-5.46699738927959
44212207.0618344841754.938165515825
45125.25121.3207731021563.92922689784351
46164.25165.639159322383-1.38915932238275
47133.5128.9448886051374.55511139486312
48148.5147.7939363384120.706063661587708
49135.75136.979826504587-1.22982650458744
50127.5119.6221556495467.87784435045358
51158.25156.5965560420921.65344395790839
52139.25135.840275838183.4097241618197
53137.25135.4035643258171.84643567418269
54152.75157.083970085878-4.33397008587796
55136.25137.708669660872-1.45866966087201
56198190.2757153258077.72428467419253
57181.5185.123604852621-3.62360485262139
58201.25205.926148341199-4.67614834119898
59202.5190.56872571028811.9312742897119
60179.75179.2049959769360.545004023064027
61216209.1443166664916.85568333350897
62178.75175.0490166667633.70098333323703
63193.25188.215733283185.03426671682031
64178182.3582900626-4.35829006260014
65205.5206.793713513128-1.29371351312837
66183.5193.625454827729-10.1254548277294
67151.5147.2906265103034.20937348969723
68154.75154.869455695629-0.119455695628558
69155.25155.306276224037-0.0562762240372315
70156.75153.0900869006223.65991309937802
71167.5168.319279943495-0.81927994349502
72146.75155.362629724805-8.61262972480497
73160.75161.021522861508-0.271522861508329
74125122.633945097352.36605490265023
75143143.349639874539-0.349639874539383
76148.25147.868982094610.38101790539023
77162.5158.4081632333734.09183676662731
78177.75172.3598417870995.3901582129005
79161.25167.259440647489-6.0094406474886
80171.25179.368336448154-8.11833644815438
81163.75166.812566748852-3.06256674885223
82150.25160.199273935737-9.94927393573727
83190.25186.5139358874453.73606411255536
84170.75168.6994794112352.05052058876515
85168167.3702981772050.629701822794919
86167169.943238547463-2.94323854746278
87157.75163.275062690341-5.52506269034107
88160162.935069265967-2.93506926596663
89176.75175.7681086001640.981891399836002
90176173.1330861712132.86691382878739
91177177.701852570965-0.701852570964755
92179.75183.482272260409-3.73227226040933
93165.25163.6752798988641.57472010113634
94192.5191.7490262374550.750973762544709
95184.25182.3548714911071.89512850889318
96224.5218.9394416648735.56055833512682
97188.75185.720555549993.02944445001002
98162.5168.609636065075-6.10963606507515
99156.5154.8008671343531.6991328656465
100197195.7096345990771.29036540092271
101198.5192.115906382856.38409361714973
102173.75169.8152686296183.93473137038218
103172.75170.7204332829082.02956671709172
104196.75194.1715729717932.5784270282069
105177178.366680238693-1.36668023869281
106165.5157.8675115691947.63248843080631
107200.25195.8819448653974.3680551346031
108203.25200.7795827537992.47041724620057
109194198.151773036306-4.1517730363062
110168.5168.530901226105-0.0309012261049508
111170.75171.257089383806-0.507089383806441
112183.25194.5601404109-11.3101404109
113178.25183.677121008545-5.42712100854513
114163165.455152825614-2.45515282561416
115175.25172.4135702511982.83642974880243
116158154.3167355028123.68326449718818
117177.25171.8986802889155.35131971108527
118179178.791428952090.208571047910168
119191190.5232352250980.476764774902148
120187.5182.1087795303185.39122046968177
121206.5199.9115693451116.58843065488937
122185.25187.094737850444-1.84473785044392
123160.25169.259486824943-9.00948682494346
124151.5155.146510934099-3.64651093409851
125161160.990088631760.00991136823967347
126167171.618733674573-4.61873367457275
127177.5171.7411587681535.75884123184749
128152.25151.0117298355981.23827016440157
129192.25186.4350700752135.8149299247872
130165.25166.834829559073-1.5848295590733
131171.75163.4663498639398.28365013606076
132171.25168.4760302916752.77396970832522
133197190.0712005357576.9287994642425
134157155.6304607540121.36953924598786
135168.25168.435561179427-0.185561179427059
136186184.5435082024731.45649179752674
137166.75159.0029006862837.74709931371737
138187.75184.4972685655673.25273143443329
139168.25167.4265964613970.823403538603221
140212.75215.147663147239-2.39766314723881
141176.75176.790066489461-0.0400664894614745
142173.25173.839241944433-0.589241944433157
143167170.277959464424-3.27795946442437
144159.75154.4688450760135.28115492398687
145188.15184.5977895900733.55221040992657
146156158.127559377896-2.12755937789567
147208.5215.490506079733-6.99050607973344
148206.5209.319417892649-2.81941789264875
149143.75145.668193537288-1.91819353728784
150223229.76287653621-6.76287653621039
151152.25150.1266315554292.12336844457091
152241.75235.3046365652186.44536343478192
153146142.2016759187683.79832408123182
154156.75161.72306695571-4.97306695571025
155200.25200.33418795092-0.0841879509196808
156171.5166.3536078840355.14639211596452
157205.75205.2976008902820.452399109717505
158182.5185.351352745938-2.85135274593816
159136.5136.2523604636460.247639536353996
160177.25178.604518271765-1.35451827176489
161151.25147.1872613447194.06273865528133
162196199.416822467888-3.41682246788816
163184.25189.072773343052-4.82277334305229
164140139.7442127865640.255787213435657
165218.75215.5213638569683.22863614303173
166217208.8771731250398.12282687496134
167166.25161.8164175887144.43358241128647
168224.75218.1076717220176.64232827798313
169228.25227.4765847079590.7734152920414
170172.75174.948440051557-2.19844005155655
171152.25151.5022432884270.747756711572577
172125.75130.275866468117-4.5258664681168
173177.25174.4421211558522.80787884414793
174176.25176.44900800289-0.199008002889699
175226.75233.536279490678-6.78627949067784
176145.25144.5975389390140.652461060985624
177151155.762168539079-4.76216853907906
178241.25235.3670882081935.88291179180698
179187.25187.597735546383-0.347735546382979
180234.75230.555494122324.19450587768045
181219.25219.578138959389-0.328138959388596
182118.5112.1717510446676.32824895533264
183145.75148.877719935239-3.12771993523909
184159.25160.287779709553-1.03777970955346
185170.5171.35528142638-0.855281426380277
186167.5169.491146349645-1.99114634964546
187232.75230.4728810329942.27711896700558
188210.5201.0631936241119.43680637588889
189202.25204.365104897605-2.11510489760513
190185190.876225944447-5.87622594444718
191153147.8932804272845.10671957271605
192244.25239.9178503034924.33214969650796
193193.5194.100079934578-0.600079934578318
194224.75220.0195607646184.73043923538194
195162.75161.4526545419941.29734545800584
196180182.966882940759-2.96688294075854
197156.25163.1669986551-6.91699865509994
198168169.140116946223-1.14011694622278
199167.25169.825957290889-2.57595729088927
200170.75171.12117687303-0.371176873030019
201178.25180.215645311025-1.96564531102547
202150152.43400472506-2.43400472505991
203200.5198.6701719366731.82982806332689
204184187.933194813577-3.93319481357657
205223217.8667203648575.13327963514259
206208.75201.1443662397517.60563376024936
207166172.563644775003-6.56364477500329
208195193.7129159176631.28708408233679
209160.5155.7765090311274.72349096887281
210159.75153.6877437005646.06225629943637
211140.5138.5664670270931.93353297290656
212216.25219.122108225176-2.87210822517623
213168.25174.102148806014-5.85214880601429
214194.75196.506239239315-1.75623923931528
215172.75166.0130239844526.73697601554808
216219218.7205924723320.27940752766753
217149.25152.610735815845-3.36073581584525
218154.5156.461899264118-1.96189926411847
219199.25200.1155878404-0.865587840400296
220154.5154.2936535117120.206346488288173
221153.25172.776210666322-19.5262106663223
222230228.3123586446531.68764135534676
223161.75161.5692428169570.180757183043134
224142.25143.467725506593-1.21772550659332
225179.75184.12350813032-4.3735081303202
226126.5119.1399595453297.36004045467069
227169.5172.236488530075-2.73648853007496
228198.5201.834054075461-3.3340540754615
229174.5176.765548644412-2.26554864441152
230167.75170.970020520714-3.22002052071391
231147.75145.3894450158742.36055498412583
232182.25186.217640194468-3.96764019446763
233175.5172.8208066948992.67919330510062
234161.75159.0112010007332.7387989992672
235157.75159.998488818747-2.24848881874734
236168.75166.4445831339742.30541686602589
237191.5190.5399087866830.960091213317389
238219.15221.939400880851-2.78940088085061
239155.25159.997573689109-4.74757368910926
240189.75187.0901769904592.65982300954061
241127.5125.8248147084181.67518529158168
242224.5227.650123371432-3.15012337143218
243234.25225.0650803716799.18491962832088
244227.75229.970276526254-2.2202765262538
245199.5199.619724383713-0.119724383712732
246155.5155.736384539122-0.236384539121779
247215.5219.659600774394-4.15960077439439
248134.25131.1458534968023.10414650319785
249201201.522927930049-0.522927930048958
250186.75187.446266942474-0.696266942473569
251190.75186.1330713439754.61692865602452
252207.5212.620157995044-5.12015799504367







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
180.03377189748080090.06754379496160170.966228102519199
190.009852962124267380.01970592424853480.990147037875733
200.01284566212083590.02569132424167180.987154337879164
210.006315123755260960.01263024751052190.993684876244739
220.01095909931677230.02191819863354460.989040900683228
230.004151401090524130.008302802181048260.995848598909476
240.001595039607176370.003190079214352750.998404960392824
250.0008299817798672720.001659963559734540.999170018220133
260.00028904908295170.0005780981659033990.999710950917048
279.66810760242928e-050.0001933621520485860.999903318923976
280.001282057223066020.002564114446132030.998717942776934
290.0005599340872928690.001119868174585740.999440065912707
300.0003144284561303850.000628856912260770.99968557154387
310.0008681712643565710.001736342528713140.999131828735643
320.005878137653074610.01175627530614920.994121862346925
330.007877998216114890.01575599643222980.992122001783885
340.01083137930814010.02166275861628030.98916862069186
350.01382514021279470.02765028042558950.986174859787205
360.05853193509886950.1170638701977390.94146806490113
370.04136621788621660.08273243577243320.958633782113783
380.02935045622842270.05870091245684550.970649543771577
390.9423254584437450.1153490831125090.0576745415562547
400.9574371562633860.08512568747322710.0425628437366136
410.9497417989326810.1005164021346380.0502582010673188
420.9999016408572040.0001967182855911759.83591427955877e-05
430.9998963140327480.0002073719345035440.000103685967251772
440.9999266342078560.0001467315842878167.33657921439082e-05
450.9999276352354670.0001447295290659177.23647645329585e-05
460.9998950062035850.0002099875928308880.000104993796415444
470.9998588047934450.0002823904131103210.00014119520655516
480.9998688078206610.0002623843586777350.000131192179338868
490.9997998157757780.0004003684484446990.000200184224222349
500.9998193167774370.0003613664451269560.000180683222563478
510.9997213387496310.0005573225007383720.000278661250369186
520.9996253416542080.0007493166915841160.000374658345792058
530.9994808306922440.001038338615512840.000519169307756419
540.9998876513591340.0002246972817312940.000112348640865647
550.9998847304943640.000230539011271050.000115269505635525
560.9999724025274245.51949451525879e-052.7597472576294e-05
570.9999855604632132.88790735734003e-051.44395367867002e-05
580.9999830986813373.38026373267511e-051.69013186633755e-05
590.9999998244289233.51142153135286e-071.75571076567643e-07
600.9999997442359475.11528105597526e-072.55764052798763e-07
610.9999997428657465.14268508894644e-072.57134254447322e-07
620.9999996565770066.86845987103353e-073.43422993551677e-07
630.999999561058078.77883860724869e-074.38941930362434e-07
640.9999997122087185.75582564948628e-072.87791282474314e-07
650.9999995310463689.37907264733211e-074.68953632366606e-07
660.9999999022223661.95555267019885e-079.77776335099427e-08
670.9999998791779842.41644031875109e-071.20822015937555e-07
680.9999998251426773.49714645157578e-071.74857322578789e-07
690.9999997752806994.49438601218288e-072.24719300609144e-07
700.9999997092766285.81446744791948e-072.90723372395974e-07
710.9999995501012918.99797418600462e-074.49898709300231e-07
720.9999999055215911.88956817850537e-079.44784089252687e-08
730.9999998464874733.07025054595556e-071.53512527297778e-07
740.9999998130539313.73892138198309e-071.86946069099155e-07
750.9999997067992885.86401424976122e-072.93200712488061e-07
760.9999995505505568.98898887863068e-074.49449443931534e-07
770.999999577198278.45603460610117e-074.22801730305059e-07
780.999999630445767.391084790123e-073.6955423950615e-07
790.9999997245133445.5097331122052e-072.7548665561026e-07
800.9999998839976912.32004617494234e-071.16002308747117e-07
810.9999998247209423.50558116806107e-071.75279058403053e-07
820.9999999271256061.45748788218867e-077.28743941094337e-08
830.9999998909604652.18079069399102e-071.09039534699551e-07
840.9999998231407943.53718412146716e-071.76859206073358e-07
850.9999997185574065.62885188216143e-072.81442594108072e-07
860.9999996098528777.80294246170809e-073.90147123085404e-07
870.9999996819148246.36170352092434e-073.18085176046217e-07
880.9999995336256819.32748637481219e-074.6637431874061e-07
890.9999992387611211.52247775730539e-067.61238878652695e-07
900.9999989021716682.19565666426734e-061.09782833213367e-06
910.9999982621668923.47566621508657e-061.73783310754328e-06
920.9999975422448964.9155102070244e-062.4577551035122e-06
930.9999963205894927.35882101683968e-063.67941050841984e-06
940.9999945175959341.09648081322949e-055.48240406614746e-06
950.9999920849123621.58301752759971e-057.91508763799856e-06
960.9999890082034572.19835930862478e-051.09917965431239e-05
970.9999851400887612.97198224786007e-051.48599112393004e-05
980.999987303676782.5392646440559e-051.26963232202795e-05
990.9999813824013.72351980005904e-051.86175990002952e-05
1000.9999752761623214.94476753578084e-052.47238376789042e-05
1010.9999820754707263.58490585475199e-051.792452927376e-05
1020.9999799561821224.00876357559593e-052.00438178779797e-05
1030.9999715796237435.68407525138994e-052.84203762569497e-05
1040.9999615294376947.69411246120324e-053.84705623060162e-05
1050.9999484750943220.0001030498113558145.15249056779069e-05
1060.9999789989908064.20020183889189e-052.10010091944595e-05
1070.9999735898312625.28203374752344e-052.64101687376172e-05
1080.999965329398646.93412027202274e-053.46706013601137e-05
1090.9999722307884255.55384231495357e-052.77692115747678e-05
1100.9999589327998238.21344003548669e-054.10672001774335e-05
1110.9999406826390120.0001186347219754595.93173609877296e-05
1120.9999911300032941.77399934110693e-058.86999670553465e-06
1130.9999926208166131.47583667749985e-057.37918338749927e-06
1140.9999894457151852.11085696305434e-051.05542848152717e-05
1150.9999878980223172.42039553654716e-051.21019776827358e-05
1160.999984853314153.02933717007826e-051.51466858503913e-05
1170.9999845759743433.08480513146078e-051.54240256573039e-05
1180.9999768708994334.62582011349673e-052.31291005674836e-05
1190.9999660131774936.79736450137167e-053.39868225068583e-05
1200.9999690478278686.19043442630359e-053.09521721315179e-05
1210.9999712449898055.75100203902459e-052.8755010195123e-05
1220.9999589348699528.21302600963832e-054.10651300481916e-05
1230.9999786101785864.27796428279677e-052.13898214139839e-05
1240.9999709254492955.81491014090435e-052.90745507045217e-05
1250.9999572281013998.55437972013117e-054.27718986006559e-05
1260.9999479515217630.0001040969564750135.20484782375063e-05
1270.9999567891609678.64216780668873e-054.32108390334437e-05
1280.9999400520127380.0001198959745247135.99479872623566e-05
1290.9999373829035080.0001252341929844076.26170964922036e-05
1300.999909892034320.0001802159313598769.01079656799379e-05
1310.9999463521323310.0001072957353384845.36478676692419e-05
1320.9999306481812690.0001387036374626036.93518187313013e-05
1330.9999365549045530.000126890190893626.34450954468102e-05
1340.9999115536877880.0001768926244243048.84463122121518e-05
1350.999870782806470.0002584343870590960.000129217193529548
1360.9998164736062910.0003670527874177540.000183526393708877
1370.99986632779660.0002673444068007730.000133672203400387
1380.9998192523890490.0003614952219021430.000180747610951072
1390.9997423352181530.0005153295636935810.00025766478184679
1400.999696157907680.0006076841846398370.000303842092319918
1410.9995657439655230.0008685120689537040.000434256034476852
1420.9993867699502430.00122646009951360.000613230049756802
1430.9992104297759160.001579140448167690.000789570224083845
1440.9991668212336530.001666357532694980.00083317876634749
1450.9988944448091490.002211110381702330.00110555519085116
1460.9986470162718910.002705967456218930.00135298372810946
1470.9988057640748690.002388471850261590.0011942359251308
1480.9984643088500080.00307138229998330.00153569114999165
1490.9982136926669370.003572614666126630.00178630733306331
1500.9982323222023980.003535355595204990.00176767779760249
1510.9977175914555410.004564817088918760.00228240854445938
1520.9985171064344790.002965787131041520.00148289356552076
1530.9981693946585050.00366121068298990.00183060534149495
1540.9979651212314750.004069757537049160.00203487876852458
1550.9972163016219190.005567396756162790.0027836983780814
1560.9967462541653790.006507491669241970.00325374583462099
1570.9957206410184250.008558717963150420.00427935898157521
1580.9946561937509120.01068761249817580.00534380624908789
1590.9930994565566580.01380108688668330.00690054344334165
1600.9913872834429280.01722543311414440.0086127165570722
1610.9894342547712860.02113149045742860.0105657452287143
1620.98760272392510.02479455214979920.0123972760748996
1630.9853078063356530.02938438732869320.0146921936643466
1640.9825434367232740.03491312655345170.0174565632767259
1650.9796932106878720.04061357862425610.0203067893121281
1660.9871863552633550.02562728947328950.0128136447366447
1670.9857429814542630.0285140370914750.0142570185457375
1680.9923191807405250.01536163851894980.0076808192594749
1690.9901031583291690.01979368334166310.00989684167083154
1700.9873429509469670.02531409810606670.0126570490530334
1710.9846801479221520.03063970415569660.0153198520778483
1720.9813233868437210.03735322631255740.0186766131562787
1730.9774086016396560.04518279672068820.0225913983603441
1740.9708785463615470.0582429072769060.029121453638453
1750.987166772485120.02566645502976010.01283322751488
1760.9840016693973360.03199666120532720.0159983306026636
1770.9827329568011830.03453408639763330.0172670431988167
1780.9843431251956480.03131374960870340.0156568748043517
1790.9800826066068230.03983478678635330.0199173933931767
1800.9833598378079640.03328032438407210.0166401621920361
1810.9786364768274940.04272704634501190.0213635231725059
1820.9808869117266230.0382261765467540.019113088273377
1830.9766916833544720.04661663329105660.0233083166455283
1840.970183067236610.05963386552678010.02981693276339
1850.9673236908671320.06535261826573690.0326763091328685
1860.9615505018655510.07689899626889730.0384494981344487
1870.9517553202359340.0964893595281330.0482446797640665
1880.9797768416574360.04044631668512850.0202231583425642
1890.9735088201537110.05298235969257750.0264911798462887
1900.9714594166725750.05708116665484960.0285405833274248
1910.9762045537116970.04759089257660550.0237954462883028
1920.9720232764704630.05595344705907490.0279767235295374
1930.966885369885790.06622926022842050.0331146301142102
1940.974550386725460.05089922654907910.0254496132745396
1950.9667589814668880.06648203706622450.0332410185331123
1960.9576284296844860.08474314063102730.0423715703155137
1970.9774129073840590.04517418523188110.0225870926159406
1980.9698313313775960.06033733724480750.0301686686224037
1990.9674566349586210.06508673008275860.0325433650413793
2000.9625560923914290.07488781521714190.037443907608571
2010.9504821350194680.09903572996106450.0495178649805322
2020.939131099053120.121737801893760.0608689009468799
2030.9225891005285460.1548217989429090.0774108994714543
2040.902662030272490.194675939455020.09733796972751
2050.8885301437028580.2229397125942840.111469856297142
2060.8759449382687070.2481101234625850.124055061731293
2070.8924780850353290.2150438299293420.107521914964671
2080.8643809848213830.2712380303572340.135619015178617
2090.8368344468193220.3263311063613560.163165553180678
2100.8427771019275570.3144457961448870.157222898072444
2110.8365418211005360.3269163577989280.163458178899464
2120.8042812139672110.3914375720655780.195718786032789
2130.8198952130874930.3602095738250140.180104786912507
2140.7864199760913510.4271600478172990.213580023908649
2150.7658221426542020.4683557146915960.234177857345798
2160.7325957850774810.5348084298450380.267404214922519
2170.7114845002176320.5770309995647360.288515499782368
2180.653324939445690.6933501211086190.34667506055431
2190.6102303204194220.7795393591611560.389769679580578
2200.5398020335851540.9203959328296910.460197966414846
2210.9718559692218780.05628806155624320.0281440307781216
2220.9553135677477320.08937286450453680.0446864322522684
2230.9440519166274230.1118961667451530.0559480833725765
2240.9179769734738870.1640460530522250.0820230265261126
2250.8800945960315530.2398108079368940.119905403968447
2260.8732255876071490.2535488247857030.126774412392851
2270.8146306492585070.3707387014829860.185369350741493
2280.8010366157070110.3979267685859780.198963384292989
2290.7640504436432020.4718991127135950.235949556356798
2300.7183258903764780.5633482192470430.281674109623522
2310.6301604313836530.7396791372326950.369839568616347
2320.9091847363250360.1816305273499280.0908152636749641
2330.941630325971110.116739348057780.0583696740288902
2340.9533109269619440.09337814607611110.0466890730380555

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
18 & 0.0337718974808009 & 0.0675437949616017 & 0.966228102519199 \tabularnewline
19 & 0.00985296212426738 & 0.0197059242485348 & 0.990147037875733 \tabularnewline
20 & 0.0128456621208359 & 0.0256913242416718 & 0.987154337879164 \tabularnewline
21 & 0.00631512375526096 & 0.0126302475105219 & 0.993684876244739 \tabularnewline
22 & 0.0109590993167723 & 0.0219181986335446 & 0.989040900683228 \tabularnewline
23 & 0.00415140109052413 & 0.00830280218104826 & 0.995848598909476 \tabularnewline
24 & 0.00159503960717637 & 0.00319007921435275 & 0.998404960392824 \tabularnewline
25 & 0.000829981779867272 & 0.00165996355973454 & 0.999170018220133 \tabularnewline
26 & 0.0002890490829517 & 0.000578098165903399 & 0.999710950917048 \tabularnewline
27 & 9.66810760242928e-05 & 0.000193362152048586 & 0.999903318923976 \tabularnewline
28 & 0.00128205722306602 & 0.00256411444613203 & 0.998717942776934 \tabularnewline
29 & 0.000559934087292869 & 0.00111986817458574 & 0.999440065912707 \tabularnewline
30 & 0.000314428456130385 & 0.00062885691226077 & 0.99968557154387 \tabularnewline
31 & 0.000868171264356571 & 0.00173634252871314 & 0.999131828735643 \tabularnewline
32 & 0.00587813765307461 & 0.0117562753061492 & 0.994121862346925 \tabularnewline
33 & 0.00787799821611489 & 0.0157559964322298 & 0.992122001783885 \tabularnewline
34 & 0.0108313793081401 & 0.0216627586162803 & 0.98916862069186 \tabularnewline
35 & 0.0138251402127947 & 0.0276502804255895 & 0.986174859787205 \tabularnewline
36 & 0.0585319350988695 & 0.117063870197739 & 0.94146806490113 \tabularnewline
37 & 0.0413662178862166 & 0.0827324357724332 & 0.958633782113783 \tabularnewline
38 & 0.0293504562284227 & 0.0587009124568455 & 0.970649543771577 \tabularnewline
39 & 0.942325458443745 & 0.115349083112509 & 0.0576745415562547 \tabularnewline
40 & 0.957437156263386 & 0.0851256874732271 & 0.0425628437366136 \tabularnewline
41 & 0.949741798932681 & 0.100516402134638 & 0.0502582010673188 \tabularnewline
42 & 0.999901640857204 & 0.000196718285591175 & 9.83591427955877e-05 \tabularnewline
43 & 0.999896314032748 & 0.000207371934503544 & 0.000103685967251772 \tabularnewline
44 & 0.999926634207856 & 0.000146731584287816 & 7.33657921439082e-05 \tabularnewline
45 & 0.999927635235467 & 0.000144729529065917 & 7.23647645329585e-05 \tabularnewline
46 & 0.999895006203585 & 0.000209987592830888 & 0.000104993796415444 \tabularnewline
47 & 0.999858804793445 & 0.000282390413110321 & 0.00014119520655516 \tabularnewline
48 & 0.999868807820661 & 0.000262384358677735 & 0.000131192179338868 \tabularnewline
49 & 0.999799815775778 & 0.000400368448444699 & 0.000200184224222349 \tabularnewline
50 & 0.999819316777437 & 0.000361366445126956 & 0.000180683222563478 \tabularnewline
51 & 0.999721338749631 & 0.000557322500738372 & 0.000278661250369186 \tabularnewline
52 & 0.999625341654208 & 0.000749316691584116 & 0.000374658345792058 \tabularnewline
53 & 0.999480830692244 & 0.00103833861551284 & 0.000519169307756419 \tabularnewline
54 & 0.999887651359134 & 0.000224697281731294 & 0.000112348640865647 \tabularnewline
55 & 0.999884730494364 & 0.00023053901127105 & 0.000115269505635525 \tabularnewline
56 & 0.999972402527424 & 5.51949451525879e-05 & 2.7597472576294e-05 \tabularnewline
57 & 0.999985560463213 & 2.88790735734003e-05 & 1.44395367867002e-05 \tabularnewline
58 & 0.999983098681337 & 3.38026373267511e-05 & 1.69013186633755e-05 \tabularnewline
59 & 0.999999824428923 & 3.51142153135286e-07 & 1.75571076567643e-07 \tabularnewline
60 & 0.999999744235947 & 5.11528105597526e-07 & 2.55764052798763e-07 \tabularnewline
61 & 0.999999742865746 & 5.14268508894644e-07 & 2.57134254447322e-07 \tabularnewline
62 & 0.999999656577006 & 6.86845987103353e-07 & 3.43422993551677e-07 \tabularnewline
63 & 0.99999956105807 & 8.77883860724869e-07 & 4.38941930362434e-07 \tabularnewline
64 & 0.999999712208718 & 5.75582564948628e-07 & 2.87791282474314e-07 \tabularnewline
65 & 0.999999531046368 & 9.37907264733211e-07 & 4.68953632366606e-07 \tabularnewline
66 & 0.999999902222366 & 1.95555267019885e-07 & 9.77776335099427e-08 \tabularnewline
67 & 0.999999879177984 & 2.41644031875109e-07 & 1.20822015937555e-07 \tabularnewline
68 & 0.999999825142677 & 3.49714645157578e-07 & 1.74857322578789e-07 \tabularnewline
69 & 0.999999775280699 & 4.49438601218288e-07 & 2.24719300609144e-07 \tabularnewline
70 & 0.999999709276628 & 5.81446744791948e-07 & 2.90723372395974e-07 \tabularnewline
71 & 0.999999550101291 & 8.99797418600462e-07 & 4.49898709300231e-07 \tabularnewline
72 & 0.999999905521591 & 1.88956817850537e-07 & 9.44784089252687e-08 \tabularnewline
73 & 0.999999846487473 & 3.07025054595556e-07 & 1.53512527297778e-07 \tabularnewline
74 & 0.999999813053931 & 3.73892138198309e-07 & 1.86946069099155e-07 \tabularnewline
75 & 0.999999706799288 & 5.86401424976122e-07 & 2.93200712488061e-07 \tabularnewline
76 & 0.999999550550556 & 8.98898887863068e-07 & 4.49449443931534e-07 \tabularnewline
77 & 0.99999957719827 & 8.45603460610117e-07 & 4.22801730305059e-07 \tabularnewline
78 & 0.99999963044576 & 7.391084790123e-07 & 3.6955423950615e-07 \tabularnewline
79 & 0.999999724513344 & 5.5097331122052e-07 & 2.7548665561026e-07 \tabularnewline
80 & 0.999999883997691 & 2.32004617494234e-07 & 1.16002308747117e-07 \tabularnewline
81 & 0.999999824720942 & 3.50558116806107e-07 & 1.75279058403053e-07 \tabularnewline
82 & 0.999999927125606 & 1.45748788218867e-07 & 7.28743941094337e-08 \tabularnewline
83 & 0.999999890960465 & 2.18079069399102e-07 & 1.09039534699551e-07 \tabularnewline
84 & 0.999999823140794 & 3.53718412146716e-07 & 1.76859206073358e-07 \tabularnewline
85 & 0.999999718557406 & 5.62885188216143e-07 & 2.81442594108072e-07 \tabularnewline
86 & 0.999999609852877 & 7.80294246170809e-07 & 3.90147123085404e-07 \tabularnewline
87 & 0.999999681914824 & 6.36170352092434e-07 & 3.18085176046217e-07 \tabularnewline
88 & 0.999999533625681 & 9.32748637481219e-07 & 4.6637431874061e-07 \tabularnewline
89 & 0.999999238761121 & 1.52247775730539e-06 & 7.61238878652695e-07 \tabularnewline
90 & 0.999998902171668 & 2.19565666426734e-06 & 1.09782833213367e-06 \tabularnewline
91 & 0.999998262166892 & 3.47566621508657e-06 & 1.73783310754328e-06 \tabularnewline
92 & 0.999997542244896 & 4.9155102070244e-06 & 2.4577551035122e-06 \tabularnewline
93 & 0.999996320589492 & 7.35882101683968e-06 & 3.67941050841984e-06 \tabularnewline
94 & 0.999994517595934 & 1.09648081322949e-05 & 5.48240406614746e-06 \tabularnewline
95 & 0.999992084912362 & 1.58301752759971e-05 & 7.91508763799856e-06 \tabularnewline
96 & 0.999989008203457 & 2.19835930862478e-05 & 1.09917965431239e-05 \tabularnewline
97 & 0.999985140088761 & 2.97198224786007e-05 & 1.48599112393004e-05 \tabularnewline
98 & 0.99998730367678 & 2.5392646440559e-05 & 1.26963232202795e-05 \tabularnewline
99 & 0.999981382401 & 3.72351980005904e-05 & 1.86175990002952e-05 \tabularnewline
100 & 0.999975276162321 & 4.94476753578084e-05 & 2.47238376789042e-05 \tabularnewline
101 & 0.999982075470726 & 3.58490585475199e-05 & 1.792452927376e-05 \tabularnewline
102 & 0.999979956182122 & 4.00876357559593e-05 & 2.00438178779797e-05 \tabularnewline
103 & 0.999971579623743 & 5.68407525138994e-05 & 2.84203762569497e-05 \tabularnewline
104 & 0.999961529437694 & 7.69411246120324e-05 & 3.84705623060162e-05 \tabularnewline
105 & 0.999948475094322 & 0.000103049811355814 & 5.15249056779069e-05 \tabularnewline
106 & 0.999978998990806 & 4.20020183889189e-05 & 2.10010091944595e-05 \tabularnewline
107 & 0.999973589831262 & 5.28203374752344e-05 & 2.64101687376172e-05 \tabularnewline
108 & 0.99996532939864 & 6.93412027202274e-05 & 3.46706013601137e-05 \tabularnewline
109 & 0.999972230788425 & 5.55384231495357e-05 & 2.77692115747678e-05 \tabularnewline
110 & 0.999958932799823 & 8.21344003548669e-05 & 4.10672001774335e-05 \tabularnewline
111 & 0.999940682639012 & 0.000118634721975459 & 5.93173609877296e-05 \tabularnewline
112 & 0.999991130003294 & 1.77399934110693e-05 & 8.86999670553465e-06 \tabularnewline
113 & 0.999992620816613 & 1.47583667749985e-05 & 7.37918338749927e-06 \tabularnewline
114 & 0.999989445715185 & 2.11085696305434e-05 & 1.05542848152717e-05 \tabularnewline
115 & 0.999987898022317 & 2.42039553654716e-05 & 1.21019776827358e-05 \tabularnewline
116 & 0.99998485331415 & 3.02933717007826e-05 & 1.51466858503913e-05 \tabularnewline
117 & 0.999984575974343 & 3.08480513146078e-05 & 1.54240256573039e-05 \tabularnewline
118 & 0.999976870899433 & 4.62582011349673e-05 & 2.31291005674836e-05 \tabularnewline
119 & 0.999966013177493 & 6.79736450137167e-05 & 3.39868225068583e-05 \tabularnewline
120 & 0.999969047827868 & 6.19043442630359e-05 & 3.09521721315179e-05 \tabularnewline
121 & 0.999971244989805 & 5.75100203902459e-05 & 2.8755010195123e-05 \tabularnewline
122 & 0.999958934869952 & 8.21302600963832e-05 & 4.10651300481916e-05 \tabularnewline
123 & 0.999978610178586 & 4.27796428279677e-05 & 2.13898214139839e-05 \tabularnewline
124 & 0.999970925449295 & 5.81491014090435e-05 & 2.90745507045217e-05 \tabularnewline
125 & 0.999957228101399 & 8.55437972013117e-05 & 4.27718986006559e-05 \tabularnewline
126 & 0.999947951521763 & 0.000104096956475013 & 5.20484782375063e-05 \tabularnewline
127 & 0.999956789160967 & 8.64216780668873e-05 & 4.32108390334437e-05 \tabularnewline
128 & 0.999940052012738 & 0.000119895974524713 & 5.99479872623566e-05 \tabularnewline
129 & 0.999937382903508 & 0.000125234192984407 & 6.26170964922036e-05 \tabularnewline
130 & 0.99990989203432 & 0.000180215931359876 & 9.01079656799379e-05 \tabularnewline
131 & 0.999946352132331 & 0.000107295735338484 & 5.36478676692419e-05 \tabularnewline
132 & 0.999930648181269 & 0.000138703637462603 & 6.93518187313013e-05 \tabularnewline
133 & 0.999936554904553 & 0.00012689019089362 & 6.34450954468102e-05 \tabularnewline
134 & 0.999911553687788 & 0.000176892624424304 & 8.84463122121518e-05 \tabularnewline
135 & 0.99987078280647 & 0.000258434387059096 & 0.000129217193529548 \tabularnewline
136 & 0.999816473606291 & 0.000367052787417754 & 0.000183526393708877 \tabularnewline
137 & 0.9998663277966 & 0.000267344406800773 & 0.000133672203400387 \tabularnewline
138 & 0.999819252389049 & 0.000361495221902143 & 0.000180747610951072 \tabularnewline
139 & 0.999742335218153 & 0.000515329563693581 & 0.00025766478184679 \tabularnewline
140 & 0.99969615790768 & 0.000607684184639837 & 0.000303842092319918 \tabularnewline
141 & 0.999565743965523 & 0.000868512068953704 & 0.000434256034476852 \tabularnewline
142 & 0.999386769950243 & 0.0012264600995136 & 0.000613230049756802 \tabularnewline
143 & 0.999210429775916 & 0.00157914044816769 & 0.000789570224083845 \tabularnewline
144 & 0.999166821233653 & 0.00166635753269498 & 0.00083317876634749 \tabularnewline
145 & 0.998894444809149 & 0.00221111038170233 & 0.00110555519085116 \tabularnewline
146 & 0.998647016271891 & 0.00270596745621893 & 0.00135298372810946 \tabularnewline
147 & 0.998805764074869 & 0.00238847185026159 & 0.0011942359251308 \tabularnewline
148 & 0.998464308850008 & 0.0030713822999833 & 0.00153569114999165 \tabularnewline
149 & 0.998213692666937 & 0.00357261466612663 & 0.00178630733306331 \tabularnewline
150 & 0.998232322202398 & 0.00353535559520499 & 0.00176767779760249 \tabularnewline
151 & 0.997717591455541 & 0.00456481708891876 & 0.00228240854445938 \tabularnewline
152 & 0.998517106434479 & 0.00296578713104152 & 0.00148289356552076 \tabularnewline
153 & 0.998169394658505 & 0.0036612106829899 & 0.00183060534149495 \tabularnewline
154 & 0.997965121231475 & 0.00406975753704916 & 0.00203487876852458 \tabularnewline
155 & 0.997216301621919 & 0.00556739675616279 & 0.0027836983780814 \tabularnewline
156 & 0.996746254165379 & 0.00650749166924197 & 0.00325374583462099 \tabularnewline
157 & 0.995720641018425 & 0.00855871796315042 & 0.00427935898157521 \tabularnewline
158 & 0.994656193750912 & 0.0106876124981758 & 0.00534380624908789 \tabularnewline
159 & 0.993099456556658 & 0.0138010868866833 & 0.00690054344334165 \tabularnewline
160 & 0.991387283442928 & 0.0172254331141444 & 0.0086127165570722 \tabularnewline
161 & 0.989434254771286 & 0.0211314904574286 & 0.0105657452287143 \tabularnewline
162 & 0.9876027239251 & 0.0247945521497992 & 0.0123972760748996 \tabularnewline
163 & 0.985307806335653 & 0.0293843873286932 & 0.0146921936643466 \tabularnewline
164 & 0.982543436723274 & 0.0349131265534517 & 0.0174565632767259 \tabularnewline
165 & 0.979693210687872 & 0.0406135786242561 & 0.0203067893121281 \tabularnewline
166 & 0.987186355263355 & 0.0256272894732895 & 0.0128136447366447 \tabularnewline
167 & 0.985742981454263 & 0.028514037091475 & 0.0142570185457375 \tabularnewline
168 & 0.992319180740525 & 0.0153616385189498 & 0.0076808192594749 \tabularnewline
169 & 0.990103158329169 & 0.0197936833416631 & 0.00989684167083154 \tabularnewline
170 & 0.987342950946967 & 0.0253140981060667 & 0.0126570490530334 \tabularnewline
171 & 0.984680147922152 & 0.0306397041556966 & 0.0153198520778483 \tabularnewline
172 & 0.981323386843721 & 0.0373532263125574 & 0.0186766131562787 \tabularnewline
173 & 0.977408601639656 & 0.0451827967206882 & 0.0225913983603441 \tabularnewline
174 & 0.970878546361547 & 0.058242907276906 & 0.029121453638453 \tabularnewline
175 & 0.98716677248512 & 0.0256664550297601 & 0.01283322751488 \tabularnewline
176 & 0.984001669397336 & 0.0319966612053272 & 0.0159983306026636 \tabularnewline
177 & 0.982732956801183 & 0.0345340863976333 & 0.0172670431988167 \tabularnewline
178 & 0.984343125195648 & 0.0313137496087034 & 0.0156568748043517 \tabularnewline
179 & 0.980082606606823 & 0.0398347867863533 & 0.0199173933931767 \tabularnewline
180 & 0.983359837807964 & 0.0332803243840721 & 0.0166401621920361 \tabularnewline
181 & 0.978636476827494 & 0.0427270463450119 & 0.0213635231725059 \tabularnewline
182 & 0.980886911726623 & 0.038226176546754 & 0.019113088273377 \tabularnewline
183 & 0.976691683354472 & 0.0466166332910566 & 0.0233083166455283 \tabularnewline
184 & 0.97018306723661 & 0.0596338655267801 & 0.02981693276339 \tabularnewline
185 & 0.967323690867132 & 0.0653526182657369 & 0.0326763091328685 \tabularnewline
186 & 0.961550501865551 & 0.0768989962688973 & 0.0384494981344487 \tabularnewline
187 & 0.951755320235934 & 0.096489359528133 & 0.0482446797640665 \tabularnewline
188 & 0.979776841657436 & 0.0404463166851285 & 0.0202231583425642 \tabularnewline
189 & 0.973508820153711 & 0.0529823596925775 & 0.0264911798462887 \tabularnewline
190 & 0.971459416672575 & 0.0570811666548496 & 0.0285405833274248 \tabularnewline
191 & 0.976204553711697 & 0.0475908925766055 & 0.0237954462883028 \tabularnewline
192 & 0.972023276470463 & 0.0559534470590749 & 0.0279767235295374 \tabularnewline
193 & 0.96688536988579 & 0.0662292602284205 & 0.0331146301142102 \tabularnewline
194 & 0.97455038672546 & 0.0508992265490791 & 0.0254496132745396 \tabularnewline
195 & 0.966758981466888 & 0.0664820370662245 & 0.0332410185331123 \tabularnewline
196 & 0.957628429684486 & 0.0847431406310273 & 0.0423715703155137 \tabularnewline
197 & 0.977412907384059 & 0.0451741852318811 & 0.0225870926159406 \tabularnewline
198 & 0.969831331377596 & 0.0603373372448075 & 0.0301686686224037 \tabularnewline
199 & 0.967456634958621 & 0.0650867300827586 & 0.0325433650413793 \tabularnewline
200 & 0.962556092391429 & 0.0748878152171419 & 0.037443907608571 \tabularnewline
201 & 0.950482135019468 & 0.0990357299610645 & 0.0495178649805322 \tabularnewline
202 & 0.93913109905312 & 0.12173780189376 & 0.0608689009468799 \tabularnewline
203 & 0.922589100528546 & 0.154821798942909 & 0.0774108994714543 \tabularnewline
204 & 0.90266203027249 & 0.19467593945502 & 0.09733796972751 \tabularnewline
205 & 0.888530143702858 & 0.222939712594284 & 0.111469856297142 \tabularnewline
206 & 0.875944938268707 & 0.248110123462585 & 0.124055061731293 \tabularnewline
207 & 0.892478085035329 & 0.215043829929342 & 0.107521914964671 \tabularnewline
208 & 0.864380984821383 & 0.271238030357234 & 0.135619015178617 \tabularnewline
209 & 0.836834446819322 & 0.326331106361356 & 0.163165553180678 \tabularnewline
210 & 0.842777101927557 & 0.314445796144887 & 0.157222898072444 \tabularnewline
211 & 0.836541821100536 & 0.326916357798928 & 0.163458178899464 \tabularnewline
212 & 0.804281213967211 & 0.391437572065578 & 0.195718786032789 \tabularnewline
213 & 0.819895213087493 & 0.360209573825014 & 0.180104786912507 \tabularnewline
214 & 0.786419976091351 & 0.427160047817299 & 0.213580023908649 \tabularnewline
215 & 0.765822142654202 & 0.468355714691596 & 0.234177857345798 \tabularnewline
216 & 0.732595785077481 & 0.534808429845038 & 0.267404214922519 \tabularnewline
217 & 0.711484500217632 & 0.577030999564736 & 0.288515499782368 \tabularnewline
218 & 0.65332493944569 & 0.693350121108619 & 0.34667506055431 \tabularnewline
219 & 0.610230320419422 & 0.779539359161156 & 0.389769679580578 \tabularnewline
220 & 0.539802033585154 & 0.920395932829691 & 0.460197966414846 \tabularnewline
221 & 0.971855969221878 & 0.0562880615562432 & 0.0281440307781216 \tabularnewline
222 & 0.955313567747732 & 0.0893728645045368 & 0.0446864322522684 \tabularnewline
223 & 0.944051916627423 & 0.111896166745153 & 0.0559480833725765 \tabularnewline
224 & 0.917976973473887 & 0.164046053052225 & 0.0820230265261126 \tabularnewline
225 & 0.880094596031553 & 0.239810807936894 & 0.119905403968447 \tabularnewline
226 & 0.873225587607149 & 0.253548824785703 & 0.126774412392851 \tabularnewline
227 & 0.814630649258507 & 0.370738701482986 & 0.185369350741493 \tabularnewline
228 & 0.801036615707011 & 0.397926768585978 & 0.198963384292989 \tabularnewline
229 & 0.764050443643202 & 0.471899112713595 & 0.235949556356798 \tabularnewline
230 & 0.718325890376478 & 0.563348219247043 & 0.281674109623522 \tabularnewline
231 & 0.630160431383653 & 0.739679137232695 & 0.369839568616347 \tabularnewline
232 & 0.909184736325036 & 0.181630527349928 & 0.0908152636749641 \tabularnewline
233 & 0.94163032597111 & 0.11673934805778 & 0.0583696740288902 \tabularnewline
234 & 0.953310926961944 & 0.0933781460761111 & 0.0466890730380555 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145811&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]0.0337718974808009[/C][C]0.0675437949616017[/C][C]0.966228102519199[/C][/ROW]
[ROW][C]19[/C][C]0.00985296212426738[/C][C]0.0197059242485348[/C][C]0.990147037875733[/C][/ROW]
[ROW][C]20[/C][C]0.0128456621208359[/C][C]0.0256913242416718[/C][C]0.987154337879164[/C][/ROW]
[ROW][C]21[/C][C]0.00631512375526096[/C][C]0.0126302475105219[/C][C]0.993684876244739[/C][/ROW]
[ROW][C]22[/C][C]0.0109590993167723[/C][C]0.0219181986335446[/C][C]0.989040900683228[/C][/ROW]
[ROW][C]23[/C][C]0.00415140109052413[/C][C]0.00830280218104826[/C][C]0.995848598909476[/C][/ROW]
[ROW][C]24[/C][C]0.00159503960717637[/C][C]0.00319007921435275[/C][C]0.998404960392824[/C][/ROW]
[ROW][C]25[/C][C]0.000829981779867272[/C][C]0.00165996355973454[/C][C]0.999170018220133[/C][/ROW]
[ROW][C]26[/C][C]0.0002890490829517[/C][C]0.000578098165903399[/C][C]0.999710950917048[/C][/ROW]
[ROW][C]27[/C][C]9.66810760242928e-05[/C][C]0.000193362152048586[/C][C]0.999903318923976[/C][/ROW]
[ROW][C]28[/C][C]0.00128205722306602[/C][C]0.00256411444613203[/C][C]0.998717942776934[/C][/ROW]
[ROW][C]29[/C][C]0.000559934087292869[/C][C]0.00111986817458574[/C][C]0.999440065912707[/C][/ROW]
[ROW][C]30[/C][C]0.000314428456130385[/C][C]0.00062885691226077[/C][C]0.99968557154387[/C][/ROW]
[ROW][C]31[/C][C]0.000868171264356571[/C][C]0.00173634252871314[/C][C]0.999131828735643[/C][/ROW]
[ROW][C]32[/C][C]0.00587813765307461[/C][C]0.0117562753061492[/C][C]0.994121862346925[/C][/ROW]
[ROW][C]33[/C][C]0.00787799821611489[/C][C]0.0157559964322298[/C][C]0.992122001783885[/C][/ROW]
[ROW][C]34[/C][C]0.0108313793081401[/C][C]0.0216627586162803[/C][C]0.98916862069186[/C][/ROW]
[ROW][C]35[/C][C]0.0138251402127947[/C][C]0.0276502804255895[/C][C]0.986174859787205[/C][/ROW]
[ROW][C]36[/C][C]0.0585319350988695[/C][C]0.117063870197739[/C][C]0.94146806490113[/C][/ROW]
[ROW][C]37[/C][C]0.0413662178862166[/C][C]0.0827324357724332[/C][C]0.958633782113783[/C][/ROW]
[ROW][C]38[/C][C]0.0293504562284227[/C][C]0.0587009124568455[/C][C]0.970649543771577[/C][/ROW]
[ROW][C]39[/C][C]0.942325458443745[/C][C]0.115349083112509[/C][C]0.0576745415562547[/C][/ROW]
[ROW][C]40[/C][C]0.957437156263386[/C][C]0.0851256874732271[/C][C]0.0425628437366136[/C][/ROW]
[ROW][C]41[/C][C]0.949741798932681[/C][C]0.100516402134638[/C][C]0.0502582010673188[/C][/ROW]
[ROW][C]42[/C][C]0.999901640857204[/C][C]0.000196718285591175[/C][C]9.83591427955877e-05[/C][/ROW]
[ROW][C]43[/C][C]0.999896314032748[/C][C]0.000207371934503544[/C][C]0.000103685967251772[/C][/ROW]
[ROW][C]44[/C][C]0.999926634207856[/C][C]0.000146731584287816[/C][C]7.33657921439082e-05[/C][/ROW]
[ROW][C]45[/C][C]0.999927635235467[/C][C]0.000144729529065917[/C][C]7.23647645329585e-05[/C][/ROW]
[ROW][C]46[/C][C]0.999895006203585[/C][C]0.000209987592830888[/C][C]0.000104993796415444[/C][/ROW]
[ROW][C]47[/C][C]0.999858804793445[/C][C]0.000282390413110321[/C][C]0.00014119520655516[/C][/ROW]
[ROW][C]48[/C][C]0.999868807820661[/C][C]0.000262384358677735[/C][C]0.000131192179338868[/C][/ROW]
[ROW][C]49[/C][C]0.999799815775778[/C][C]0.000400368448444699[/C][C]0.000200184224222349[/C][/ROW]
[ROW][C]50[/C][C]0.999819316777437[/C][C]0.000361366445126956[/C][C]0.000180683222563478[/C][/ROW]
[ROW][C]51[/C][C]0.999721338749631[/C][C]0.000557322500738372[/C][C]0.000278661250369186[/C][/ROW]
[ROW][C]52[/C][C]0.999625341654208[/C][C]0.000749316691584116[/C][C]0.000374658345792058[/C][/ROW]
[ROW][C]53[/C][C]0.999480830692244[/C][C]0.00103833861551284[/C][C]0.000519169307756419[/C][/ROW]
[ROW][C]54[/C][C]0.999887651359134[/C][C]0.000224697281731294[/C][C]0.000112348640865647[/C][/ROW]
[ROW][C]55[/C][C]0.999884730494364[/C][C]0.00023053901127105[/C][C]0.000115269505635525[/C][/ROW]
[ROW][C]56[/C][C]0.999972402527424[/C][C]5.51949451525879e-05[/C][C]2.7597472576294e-05[/C][/ROW]
[ROW][C]57[/C][C]0.999985560463213[/C][C]2.88790735734003e-05[/C][C]1.44395367867002e-05[/C][/ROW]
[ROW][C]58[/C][C]0.999983098681337[/C][C]3.38026373267511e-05[/C][C]1.69013186633755e-05[/C][/ROW]
[ROW][C]59[/C][C]0.999999824428923[/C][C]3.51142153135286e-07[/C][C]1.75571076567643e-07[/C][/ROW]
[ROW][C]60[/C][C]0.999999744235947[/C][C]5.11528105597526e-07[/C][C]2.55764052798763e-07[/C][/ROW]
[ROW][C]61[/C][C]0.999999742865746[/C][C]5.14268508894644e-07[/C][C]2.57134254447322e-07[/C][/ROW]
[ROW][C]62[/C][C]0.999999656577006[/C][C]6.86845987103353e-07[/C][C]3.43422993551677e-07[/C][/ROW]
[ROW][C]63[/C][C]0.99999956105807[/C][C]8.77883860724869e-07[/C][C]4.38941930362434e-07[/C][/ROW]
[ROW][C]64[/C][C]0.999999712208718[/C][C]5.75582564948628e-07[/C][C]2.87791282474314e-07[/C][/ROW]
[ROW][C]65[/C][C]0.999999531046368[/C][C]9.37907264733211e-07[/C][C]4.68953632366606e-07[/C][/ROW]
[ROW][C]66[/C][C]0.999999902222366[/C][C]1.95555267019885e-07[/C][C]9.77776335099427e-08[/C][/ROW]
[ROW][C]67[/C][C]0.999999879177984[/C][C]2.41644031875109e-07[/C][C]1.20822015937555e-07[/C][/ROW]
[ROW][C]68[/C][C]0.999999825142677[/C][C]3.49714645157578e-07[/C][C]1.74857322578789e-07[/C][/ROW]
[ROW][C]69[/C][C]0.999999775280699[/C][C]4.49438601218288e-07[/C][C]2.24719300609144e-07[/C][/ROW]
[ROW][C]70[/C][C]0.999999709276628[/C][C]5.81446744791948e-07[/C][C]2.90723372395974e-07[/C][/ROW]
[ROW][C]71[/C][C]0.999999550101291[/C][C]8.99797418600462e-07[/C][C]4.49898709300231e-07[/C][/ROW]
[ROW][C]72[/C][C]0.999999905521591[/C][C]1.88956817850537e-07[/C][C]9.44784089252687e-08[/C][/ROW]
[ROW][C]73[/C][C]0.999999846487473[/C][C]3.07025054595556e-07[/C][C]1.53512527297778e-07[/C][/ROW]
[ROW][C]74[/C][C]0.999999813053931[/C][C]3.73892138198309e-07[/C][C]1.86946069099155e-07[/C][/ROW]
[ROW][C]75[/C][C]0.999999706799288[/C][C]5.86401424976122e-07[/C][C]2.93200712488061e-07[/C][/ROW]
[ROW][C]76[/C][C]0.999999550550556[/C][C]8.98898887863068e-07[/C][C]4.49449443931534e-07[/C][/ROW]
[ROW][C]77[/C][C]0.99999957719827[/C][C]8.45603460610117e-07[/C][C]4.22801730305059e-07[/C][/ROW]
[ROW][C]78[/C][C]0.99999963044576[/C][C]7.391084790123e-07[/C][C]3.6955423950615e-07[/C][/ROW]
[ROW][C]79[/C][C]0.999999724513344[/C][C]5.5097331122052e-07[/C][C]2.7548665561026e-07[/C][/ROW]
[ROW][C]80[/C][C]0.999999883997691[/C][C]2.32004617494234e-07[/C][C]1.16002308747117e-07[/C][/ROW]
[ROW][C]81[/C][C]0.999999824720942[/C][C]3.50558116806107e-07[/C][C]1.75279058403053e-07[/C][/ROW]
[ROW][C]82[/C][C]0.999999927125606[/C][C]1.45748788218867e-07[/C][C]7.28743941094337e-08[/C][/ROW]
[ROW][C]83[/C][C]0.999999890960465[/C][C]2.18079069399102e-07[/C][C]1.09039534699551e-07[/C][/ROW]
[ROW][C]84[/C][C]0.999999823140794[/C][C]3.53718412146716e-07[/C][C]1.76859206073358e-07[/C][/ROW]
[ROW][C]85[/C][C]0.999999718557406[/C][C]5.62885188216143e-07[/C][C]2.81442594108072e-07[/C][/ROW]
[ROW][C]86[/C][C]0.999999609852877[/C][C]7.80294246170809e-07[/C][C]3.90147123085404e-07[/C][/ROW]
[ROW][C]87[/C][C]0.999999681914824[/C][C]6.36170352092434e-07[/C][C]3.18085176046217e-07[/C][/ROW]
[ROW][C]88[/C][C]0.999999533625681[/C][C]9.32748637481219e-07[/C][C]4.6637431874061e-07[/C][/ROW]
[ROW][C]89[/C][C]0.999999238761121[/C][C]1.52247775730539e-06[/C][C]7.61238878652695e-07[/C][/ROW]
[ROW][C]90[/C][C]0.999998902171668[/C][C]2.19565666426734e-06[/C][C]1.09782833213367e-06[/C][/ROW]
[ROW][C]91[/C][C]0.999998262166892[/C][C]3.47566621508657e-06[/C][C]1.73783310754328e-06[/C][/ROW]
[ROW][C]92[/C][C]0.999997542244896[/C][C]4.9155102070244e-06[/C][C]2.4577551035122e-06[/C][/ROW]
[ROW][C]93[/C][C]0.999996320589492[/C][C]7.35882101683968e-06[/C][C]3.67941050841984e-06[/C][/ROW]
[ROW][C]94[/C][C]0.999994517595934[/C][C]1.09648081322949e-05[/C][C]5.48240406614746e-06[/C][/ROW]
[ROW][C]95[/C][C]0.999992084912362[/C][C]1.58301752759971e-05[/C][C]7.91508763799856e-06[/C][/ROW]
[ROW][C]96[/C][C]0.999989008203457[/C][C]2.19835930862478e-05[/C][C]1.09917965431239e-05[/C][/ROW]
[ROW][C]97[/C][C]0.999985140088761[/C][C]2.97198224786007e-05[/C][C]1.48599112393004e-05[/C][/ROW]
[ROW][C]98[/C][C]0.99998730367678[/C][C]2.5392646440559e-05[/C][C]1.26963232202795e-05[/C][/ROW]
[ROW][C]99[/C][C]0.999981382401[/C][C]3.72351980005904e-05[/C][C]1.86175990002952e-05[/C][/ROW]
[ROW][C]100[/C][C]0.999975276162321[/C][C]4.94476753578084e-05[/C][C]2.47238376789042e-05[/C][/ROW]
[ROW][C]101[/C][C]0.999982075470726[/C][C]3.58490585475199e-05[/C][C]1.792452927376e-05[/C][/ROW]
[ROW][C]102[/C][C]0.999979956182122[/C][C]4.00876357559593e-05[/C][C]2.00438178779797e-05[/C][/ROW]
[ROW][C]103[/C][C]0.999971579623743[/C][C]5.68407525138994e-05[/C][C]2.84203762569497e-05[/C][/ROW]
[ROW][C]104[/C][C]0.999961529437694[/C][C]7.69411246120324e-05[/C][C]3.84705623060162e-05[/C][/ROW]
[ROW][C]105[/C][C]0.999948475094322[/C][C]0.000103049811355814[/C][C]5.15249056779069e-05[/C][/ROW]
[ROW][C]106[/C][C]0.999978998990806[/C][C]4.20020183889189e-05[/C][C]2.10010091944595e-05[/C][/ROW]
[ROW][C]107[/C][C]0.999973589831262[/C][C]5.28203374752344e-05[/C][C]2.64101687376172e-05[/C][/ROW]
[ROW][C]108[/C][C]0.99996532939864[/C][C]6.93412027202274e-05[/C][C]3.46706013601137e-05[/C][/ROW]
[ROW][C]109[/C][C]0.999972230788425[/C][C]5.55384231495357e-05[/C][C]2.77692115747678e-05[/C][/ROW]
[ROW][C]110[/C][C]0.999958932799823[/C][C]8.21344003548669e-05[/C][C]4.10672001774335e-05[/C][/ROW]
[ROW][C]111[/C][C]0.999940682639012[/C][C]0.000118634721975459[/C][C]5.93173609877296e-05[/C][/ROW]
[ROW][C]112[/C][C]0.999991130003294[/C][C]1.77399934110693e-05[/C][C]8.86999670553465e-06[/C][/ROW]
[ROW][C]113[/C][C]0.999992620816613[/C][C]1.47583667749985e-05[/C][C]7.37918338749927e-06[/C][/ROW]
[ROW][C]114[/C][C]0.999989445715185[/C][C]2.11085696305434e-05[/C][C]1.05542848152717e-05[/C][/ROW]
[ROW][C]115[/C][C]0.999987898022317[/C][C]2.42039553654716e-05[/C][C]1.21019776827358e-05[/C][/ROW]
[ROW][C]116[/C][C]0.99998485331415[/C][C]3.02933717007826e-05[/C][C]1.51466858503913e-05[/C][/ROW]
[ROW][C]117[/C][C]0.999984575974343[/C][C]3.08480513146078e-05[/C][C]1.54240256573039e-05[/C][/ROW]
[ROW][C]118[/C][C]0.999976870899433[/C][C]4.62582011349673e-05[/C][C]2.31291005674836e-05[/C][/ROW]
[ROW][C]119[/C][C]0.999966013177493[/C][C]6.79736450137167e-05[/C][C]3.39868225068583e-05[/C][/ROW]
[ROW][C]120[/C][C]0.999969047827868[/C][C]6.19043442630359e-05[/C][C]3.09521721315179e-05[/C][/ROW]
[ROW][C]121[/C][C]0.999971244989805[/C][C]5.75100203902459e-05[/C][C]2.8755010195123e-05[/C][/ROW]
[ROW][C]122[/C][C]0.999958934869952[/C][C]8.21302600963832e-05[/C][C]4.10651300481916e-05[/C][/ROW]
[ROW][C]123[/C][C]0.999978610178586[/C][C]4.27796428279677e-05[/C][C]2.13898214139839e-05[/C][/ROW]
[ROW][C]124[/C][C]0.999970925449295[/C][C]5.81491014090435e-05[/C][C]2.90745507045217e-05[/C][/ROW]
[ROW][C]125[/C][C]0.999957228101399[/C][C]8.55437972013117e-05[/C][C]4.27718986006559e-05[/C][/ROW]
[ROW][C]126[/C][C]0.999947951521763[/C][C]0.000104096956475013[/C][C]5.20484782375063e-05[/C][/ROW]
[ROW][C]127[/C][C]0.999956789160967[/C][C]8.64216780668873e-05[/C][C]4.32108390334437e-05[/C][/ROW]
[ROW][C]128[/C][C]0.999940052012738[/C][C]0.000119895974524713[/C][C]5.99479872623566e-05[/C][/ROW]
[ROW][C]129[/C][C]0.999937382903508[/C][C]0.000125234192984407[/C][C]6.26170964922036e-05[/C][/ROW]
[ROW][C]130[/C][C]0.99990989203432[/C][C]0.000180215931359876[/C][C]9.01079656799379e-05[/C][/ROW]
[ROW][C]131[/C][C]0.999946352132331[/C][C]0.000107295735338484[/C][C]5.36478676692419e-05[/C][/ROW]
[ROW][C]132[/C][C]0.999930648181269[/C][C]0.000138703637462603[/C][C]6.93518187313013e-05[/C][/ROW]
[ROW][C]133[/C][C]0.999936554904553[/C][C]0.00012689019089362[/C][C]6.34450954468102e-05[/C][/ROW]
[ROW][C]134[/C][C]0.999911553687788[/C][C]0.000176892624424304[/C][C]8.84463122121518e-05[/C][/ROW]
[ROW][C]135[/C][C]0.99987078280647[/C][C]0.000258434387059096[/C][C]0.000129217193529548[/C][/ROW]
[ROW][C]136[/C][C]0.999816473606291[/C][C]0.000367052787417754[/C][C]0.000183526393708877[/C][/ROW]
[ROW][C]137[/C][C]0.9998663277966[/C][C]0.000267344406800773[/C][C]0.000133672203400387[/C][/ROW]
[ROW][C]138[/C][C]0.999819252389049[/C][C]0.000361495221902143[/C][C]0.000180747610951072[/C][/ROW]
[ROW][C]139[/C][C]0.999742335218153[/C][C]0.000515329563693581[/C][C]0.00025766478184679[/C][/ROW]
[ROW][C]140[/C][C]0.99969615790768[/C][C]0.000607684184639837[/C][C]0.000303842092319918[/C][/ROW]
[ROW][C]141[/C][C]0.999565743965523[/C][C]0.000868512068953704[/C][C]0.000434256034476852[/C][/ROW]
[ROW][C]142[/C][C]0.999386769950243[/C][C]0.0012264600995136[/C][C]0.000613230049756802[/C][/ROW]
[ROW][C]143[/C][C]0.999210429775916[/C][C]0.00157914044816769[/C][C]0.000789570224083845[/C][/ROW]
[ROW][C]144[/C][C]0.999166821233653[/C][C]0.00166635753269498[/C][C]0.00083317876634749[/C][/ROW]
[ROW][C]145[/C][C]0.998894444809149[/C][C]0.00221111038170233[/C][C]0.00110555519085116[/C][/ROW]
[ROW][C]146[/C][C]0.998647016271891[/C][C]0.00270596745621893[/C][C]0.00135298372810946[/C][/ROW]
[ROW][C]147[/C][C]0.998805764074869[/C][C]0.00238847185026159[/C][C]0.0011942359251308[/C][/ROW]
[ROW][C]148[/C][C]0.998464308850008[/C][C]0.0030713822999833[/C][C]0.00153569114999165[/C][/ROW]
[ROW][C]149[/C][C]0.998213692666937[/C][C]0.00357261466612663[/C][C]0.00178630733306331[/C][/ROW]
[ROW][C]150[/C][C]0.998232322202398[/C][C]0.00353535559520499[/C][C]0.00176767779760249[/C][/ROW]
[ROW][C]151[/C][C]0.997717591455541[/C][C]0.00456481708891876[/C][C]0.00228240854445938[/C][/ROW]
[ROW][C]152[/C][C]0.998517106434479[/C][C]0.00296578713104152[/C][C]0.00148289356552076[/C][/ROW]
[ROW][C]153[/C][C]0.998169394658505[/C][C]0.0036612106829899[/C][C]0.00183060534149495[/C][/ROW]
[ROW][C]154[/C][C]0.997965121231475[/C][C]0.00406975753704916[/C][C]0.00203487876852458[/C][/ROW]
[ROW][C]155[/C][C]0.997216301621919[/C][C]0.00556739675616279[/C][C]0.0027836983780814[/C][/ROW]
[ROW][C]156[/C][C]0.996746254165379[/C][C]0.00650749166924197[/C][C]0.00325374583462099[/C][/ROW]
[ROW][C]157[/C][C]0.995720641018425[/C][C]0.00855871796315042[/C][C]0.00427935898157521[/C][/ROW]
[ROW][C]158[/C][C]0.994656193750912[/C][C]0.0106876124981758[/C][C]0.00534380624908789[/C][/ROW]
[ROW][C]159[/C][C]0.993099456556658[/C][C]0.0138010868866833[/C][C]0.00690054344334165[/C][/ROW]
[ROW][C]160[/C][C]0.991387283442928[/C][C]0.0172254331141444[/C][C]0.0086127165570722[/C][/ROW]
[ROW][C]161[/C][C]0.989434254771286[/C][C]0.0211314904574286[/C][C]0.0105657452287143[/C][/ROW]
[ROW][C]162[/C][C]0.9876027239251[/C][C]0.0247945521497992[/C][C]0.0123972760748996[/C][/ROW]
[ROW][C]163[/C][C]0.985307806335653[/C][C]0.0293843873286932[/C][C]0.0146921936643466[/C][/ROW]
[ROW][C]164[/C][C]0.982543436723274[/C][C]0.0349131265534517[/C][C]0.0174565632767259[/C][/ROW]
[ROW][C]165[/C][C]0.979693210687872[/C][C]0.0406135786242561[/C][C]0.0203067893121281[/C][/ROW]
[ROW][C]166[/C][C]0.987186355263355[/C][C]0.0256272894732895[/C][C]0.0128136447366447[/C][/ROW]
[ROW][C]167[/C][C]0.985742981454263[/C][C]0.028514037091475[/C][C]0.0142570185457375[/C][/ROW]
[ROW][C]168[/C][C]0.992319180740525[/C][C]0.0153616385189498[/C][C]0.0076808192594749[/C][/ROW]
[ROW][C]169[/C][C]0.990103158329169[/C][C]0.0197936833416631[/C][C]0.00989684167083154[/C][/ROW]
[ROW][C]170[/C][C]0.987342950946967[/C][C]0.0253140981060667[/C][C]0.0126570490530334[/C][/ROW]
[ROW][C]171[/C][C]0.984680147922152[/C][C]0.0306397041556966[/C][C]0.0153198520778483[/C][/ROW]
[ROW][C]172[/C][C]0.981323386843721[/C][C]0.0373532263125574[/C][C]0.0186766131562787[/C][/ROW]
[ROW][C]173[/C][C]0.977408601639656[/C][C]0.0451827967206882[/C][C]0.0225913983603441[/C][/ROW]
[ROW][C]174[/C][C]0.970878546361547[/C][C]0.058242907276906[/C][C]0.029121453638453[/C][/ROW]
[ROW][C]175[/C][C]0.98716677248512[/C][C]0.0256664550297601[/C][C]0.01283322751488[/C][/ROW]
[ROW][C]176[/C][C]0.984001669397336[/C][C]0.0319966612053272[/C][C]0.0159983306026636[/C][/ROW]
[ROW][C]177[/C][C]0.982732956801183[/C][C]0.0345340863976333[/C][C]0.0172670431988167[/C][/ROW]
[ROW][C]178[/C][C]0.984343125195648[/C][C]0.0313137496087034[/C][C]0.0156568748043517[/C][/ROW]
[ROW][C]179[/C][C]0.980082606606823[/C][C]0.0398347867863533[/C][C]0.0199173933931767[/C][/ROW]
[ROW][C]180[/C][C]0.983359837807964[/C][C]0.0332803243840721[/C][C]0.0166401621920361[/C][/ROW]
[ROW][C]181[/C][C]0.978636476827494[/C][C]0.0427270463450119[/C][C]0.0213635231725059[/C][/ROW]
[ROW][C]182[/C][C]0.980886911726623[/C][C]0.038226176546754[/C][C]0.019113088273377[/C][/ROW]
[ROW][C]183[/C][C]0.976691683354472[/C][C]0.0466166332910566[/C][C]0.0233083166455283[/C][/ROW]
[ROW][C]184[/C][C]0.97018306723661[/C][C]0.0596338655267801[/C][C]0.02981693276339[/C][/ROW]
[ROW][C]185[/C][C]0.967323690867132[/C][C]0.0653526182657369[/C][C]0.0326763091328685[/C][/ROW]
[ROW][C]186[/C][C]0.961550501865551[/C][C]0.0768989962688973[/C][C]0.0384494981344487[/C][/ROW]
[ROW][C]187[/C][C]0.951755320235934[/C][C]0.096489359528133[/C][C]0.0482446797640665[/C][/ROW]
[ROW][C]188[/C][C]0.979776841657436[/C][C]0.0404463166851285[/C][C]0.0202231583425642[/C][/ROW]
[ROW][C]189[/C][C]0.973508820153711[/C][C]0.0529823596925775[/C][C]0.0264911798462887[/C][/ROW]
[ROW][C]190[/C][C]0.971459416672575[/C][C]0.0570811666548496[/C][C]0.0285405833274248[/C][/ROW]
[ROW][C]191[/C][C]0.976204553711697[/C][C]0.0475908925766055[/C][C]0.0237954462883028[/C][/ROW]
[ROW][C]192[/C][C]0.972023276470463[/C][C]0.0559534470590749[/C][C]0.0279767235295374[/C][/ROW]
[ROW][C]193[/C][C]0.96688536988579[/C][C]0.0662292602284205[/C][C]0.0331146301142102[/C][/ROW]
[ROW][C]194[/C][C]0.97455038672546[/C][C]0.0508992265490791[/C][C]0.0254496132745396[/C][/ROW]
[ROW][C]195[/C][C]0.966758981466888[/C][C]0.0664820370662245[/C][C]0.0332410185331123[/C][/ROW]
[ROW][C]196[/C][C]0.957628429684486[/C][C]0.0847431406310273[/C][C]0.0423715703155137[/C][/ROW]
[ROW][C]197[/C][C]0.977412907384059[/C][C]0.0451741852318811[/C][C]0.0225870926159406[/C][/ROW]
[ROW][C]198[/C][C]0.969831331377596[/C][C]0.0603373372448075[/C][C]0.0301686686224037[/C][/ROW]
[ROW][C]199[/C][C]0.967456634958621[/C][C]0.0650867300827586[/C][C]0.0325433650413793[/C][/ROW]
[ROW][C]200[/C][C]0.962556092391429[/C][C]0.0748878152171419[/C][C]0.037443907608571[/C][/ROW]
[ROW][C]201[/C][C]0.950482135019468[/C][C]0.0990357299610645[/C][C]0.0495178649805322[/C][/ROW]
[ROW][C]202[/C][C]0.93913109905312[/C][C]0.12173780189376[/C][C]0.0608689009468799[/C][/ROW]
[ROW][C]203[/C][C]0.922589100528546[/C][C]0.154821798942909[/C][C]0.0774108994714543[/C][/ROW]
[ROW][C]204[/C][C]0.90266203027249[/C][C]0.19467593945502[/C][C]0.09733796972751[/C][/ROW]
[ROW][C]205[/C][C]0.888530143702858[/C][C]0.222939712594284[/C][C]0.111469856297142[/C][/ROW]
[ROW][C]206[/C][C]0.875944938268707[/C][C]0.248110123462585[/C][C]0.124055061731293[/C][/ROW]
[ROW][C]207[/C][C]0.892478085035329[/C][C]0.215043829929342[/C][C]0.107521914964671[/C][/ROW]
[ROW][C]208[/C][C]0.864380984821383[/C][C]0.271238030357234[/C][C]0.135619015178617[/C][/ROW]
[ROW][C]209[/C][C]0.836834446819322[/C][C]0.326331106361356[/C][C]0.163165553180678[/C][/ROW]
[ROW][C]210[/C][C]0.842777101927557[/C][C]0.314445796144887[/C][C]0.157222898072444[/C][/ROW]
[ROW][C]211[/C][C]0.836541821100536[/C][C]0.326916357798928[/C][C]0.163458178899464[/C][/ROW]
[ROW][C]212[/C][C]0.804281213967211[/C][C]0.391437572065578[/C][C]0.195718786032789[/C][/ROW]
[ROW][C]213[/C][C]0.819895213087493[/C][C]0.360209573825014[/C][C]0.180104786912507[/C][/ROW]
[ROW][C]214[/C][C]0.786419976091351[/C][C]0.427160047817299[/C][C]0.213580023908649[/C][/ROW]
[ROW][C]215[/C][C]0.765822142654202[/C][C]0.468355714691596[/C][C]0.234177857345798[/C][/ROW]
[ROW][C]216[/C][C]0.732595785077481[/C][C]0.534808429845038[/C][C]0.267404214922519[/C][/ROW]
[ROW][C]217[/C][C]0.711484500217632[/C][C]0.577030999564736[/C][C]0.288515499782368[/C][/ROW]
[ROW][C]218[/C][C]0.65332493944569[/C][C]0.693350121108619[/C][C]0.34667506055431[/C][/ROW]
[ROW][C]219[/C][C]0.610230320419422[/C][C]0.779539359161156[/C][C]0.389769679580578[/C][/ROW]
[ROW][C]220[/C][C]0.539802033585154[/C][C]0.920395932829691[/C][C]0.460197966414846[/C][/ROW]
[ROW][C]221[/C][C]0.971855969221878[/C][C]0.0562880615562432[/C][C]0.0281440307781216[/C][/ROW]
[ROW][C]222[/C][C]0.955313567747732[/C][C]0.0893728645045368[/C][C]0.0446864322522684[/C][/ROW]
[ROW][C]223[/C][C]0.944051916627423[/C][C]0.111896166745153[/C][C]0.0559480833725765[/C][/ROW]
[ROW][C]224[/C][C]0.917976973473887[/C][C]0.164046053052225[/C][C]0.0820230265261126[/C][/ROW]
[ROW][C]225[/C][C]0.880094596031553[/C][C]0.239810807936894[/C][C]0.119905403968447[/C][/ROW]
[ROW][C]226[/C][C]0.873225587607149[/C][C]0.253548824785703[/C][C]0.126774412392851[/C][/ROW]
[ROW][C]227[/C][C]0.814630649258507[/C][C]0.370738701482986[/C][C]0.185369350741493[/C][/ROW]
[ROW][C]228[/C][C]0.801036615707011[/C][C]0.397926768585978[/C][C]0.198963384292989[/C][/ROW]
[ROW][C]229[/C][C]0.764050443643202[/C][C]0.471899112713595[/C][C]0.235949556356798[/C][/ROW]
[ROW][C]230[/C][C]0.718325890376478[/C][C]0.563348219247043[/C][C]0.281674109623522[/C][/ROW]
[ROW][C]231[/C][C]0.630160431383653[/C][C]0.739679137232695[/C][C]0.369839568616347[/C][/ROW]
[ROW][C]232[/C][C]0.909184736325036[/C][C]0.181630527349928[/C][C]0.0908152636749641[/C][/ROW]
[ROW][C]233[/C][C]0.94163032597111[/C][C]0.11673934805778[/C][C]0.0583696740288902[/C][/ROW]
[ROW][C]234[/C][C]0.953310926961944[/C][C]0.0933781460761111[/C][C]0.0466890730380555[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145811&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145811&T=5

As an alternative you can also use a QR Code:  

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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
180.03377189748080090.06754379496160170.966228102519199
190.009852962124267380.01970592424853480.990147037875733
200.01284566212083590.02569132424167180.987154337879164
210.006315123755260960.01263024751052190.993684876244739
220.01095909931677230.02191819863354460.989040900683228
230.004151401090524130.008302802181048260.995848598909476
240.001595039607176370.003190079214352750.998404960392824
250.0008299817798672720.001659963559734540.999170018220133
260.00028904908295170.0005780981659033990.999710950917048
279.66810760242928e-050.0001933621520485860.999903318923976
280.001282057223066020.002564114446132030.998717942776934
290.0005599340872928690.001119868174585740.999440065912707
300.0003144284561303850.000628856912260770.99968557154387
310.0008681712643565710.001736342528713140.999131828735643
320.005878137653074610.01175627530614920.994121862346925
330.007877998216114890.01575599643222980.992122001783885
340.01083137930814010.02166275861628030.98916862069186
350.01382514021279470.02765028042558950.986174859787205
360.05853193509886950.1170638701977390.94146806490113
370.04136621788621660.08273243577243320.958633782113783
380.02935045622842270.05870091245684550.970649543771577
390.9423254584437450.1153490831125090.0576745415562547
400.9574371562633860.08512568747322710.0425628437366136
410.9497417989326810.1005164021346380.0502582010673188
420.9999016408572040.0001967182855911759.83591427955877e-05
430.9998963140327480.0002073719345035440.000103685967251772
440.9999266342078560.0001467315842878167.33657921439082e-05
450.9999276352354670.0001447295290659177.23647645329585e-05
460.9998950062035850.0002099875928308880.000104993796415444
470.9998588047934450.0002823904131103210.00014119520655516
480.9998688078206610.0002623843586777350.000131192179338868
490.9997998157757780.0004003684484446990.000200184224222349
500.9998193167774370.0003613664451269560.000180683222563478
510.9997213387496310.0005573225007383720.000278661250369186
520.9996253416542080.0007493166915841160.000374658345792058
530.9994808306922440.001038338615512840.000519169307756419
540.9998876513591340.0002246972817312940.000112348640865647
550.9998847304943640.000230539011271050.000115269505635525
560.9999724025274245.51949451525879e-052.7597472576294e-05
570.9999855604632132.88790735734003e-051.44395367867002e-05
580.9999830986813373.38026373267511e-051.69013186633755e-05
590.9999998244289233.51142153135286e-071.75571076567643e-07
600.9999997442359475.11528105597526e-072.55764052798763e-07
610.9999997428657465.14268508894644e-072.57134254447322e-07
620.9999996565770066.86845987103353e-073.43422993551677e-07
630.999999561058078.77883860724869e-074.38941930362434e-07
640.9999997122087185.75582564948628e-072.87791282474314e-07
650.9999995310463689.37907264733211e-074.68953632366606e-07
660.9999999022223661.95555267019885e-079.77776335099427e-08
670.9999998791779842.41644031875109e-071.20822015937555e-07
680.9999998251426773.49714645157578e-071.74857322578789e-07
690.9999997752806994.49438601218288e-072.24719300609144e-07
700.9999997092766285.81446744791948e-072.90723372395974e-07
710.9999995501012918.99797418600462e-074.49898709300231e-07
720.9999999055215911.88956817850537e-079.44784089252687e-08
730.9999998464874733.07025054595556e-071.53512527297778e-07
740.9999998130539313.73892138198309e-071.86946069099155e-07
750.9999997067992885.86401424976122e-072.93200712488061e-07
760.9999995505505568.98898887863068e-074.49449443931534e-07
770.999999577198278.45603460610117e-074.22801730305059e-07
780.999999630445767.391084790123e-073.6955423950615e-07
790.9999997245133445.5097331122052e-072.7548665561026e-07
800.9999998839976912.32004617494234e-071.16002308747117e-07
810.9999998247209423.50558116806107e-071.75279058403053e-07
820.9999999271256061.45748788218867e-077.28743941094337e-08
830.9999998909604652.18079069399102e-071.09039534699551e-07
840.9999998231407943.53718412146716e-071.76859206073358e-07
850.9999997185574065.62885188216143e-072.81442594108072e-07
860.9999996098528777.80294246170809e-073.90147123085404e-07
870.9999996819148246.36170352092434e-073.18085176046217e-07
880.9999995336256819.32748637481219e-074.6637431874061e-07
890.9999992387611211.52247775730539e-067.61238878652695e-07
900.9999989021716682.19565666426734e-061.09782833213367e-06
910.9999982621668923.47566621508657e-061.73783310754328e-06
920.9999975422448964.9155102070244e-062.4577551035122e-06
930.9999963205894927.35882101683968e-063.67941050841984e-06
940.9999945175959341.09648081322949e-055.48240406614746e-06
950.9999920849123621.58301752759971e-057.91508763799856e-06
960.9999890082034572.19835930862478e-051.09917965431239e-05
970.9999851400887612.97198224786007e-051.48599112393004e-05
980.999987303676782.5392646440559e-051.26963232202795e-05
990.9999813824013.72351980005904e-051.86175990002952e-05
1000.9999752761623214.94476753578084e-052.47238376789042e-05
1010.9999820754707263.58490585475199e-051.792452927376e-05
1020.9999799561821224.00876357559593e-052.00438178779797e-05
1030.9999715796237435.68407525138994e-052.84203762569497e-05
1040.9999615294376947.69411246120324e-053.84705623060162e-05
1050.9999484750943220.0001030498113558145.15249056779069e-05
1060.9999789989908064.20020183889189e-052.10010091944595e-05
1070.9999735898312625.28203374752344e-052.64101687376172e-05
1080.999965329398646.93412027202274e-053.46706013601137e-05
1090.9999722307884255.55384231495357e-052.77692115747678e-05
1100.9999589327998238.21344003548669e-054.10672001774335e-05
1110.9999406826390120.0001186347219754595.93173609877296e-05
1120.9999911300032941.77399934110693e-058.86999670553465e-06
1130.9999926208166131.47583667749985e-057.37918338749927e-06
1140.9999894457151852.11085696305434e-051.05542848152717e-05
1150.9999878980223172.42039553654716e-051.21019776827358e-05
1160.999984853314153.02933717007826e-051.51466858503913e-05
1170.9999845759743433.08480513146078e-051.54240256573039e-05
1180.9999768708994334.62582011349673e-052.31291005674836e-05
1190.9999660131774936.79736450137167e-053.39868225068583e-05
1200.9999690478278686.19043442630359e-053.09521721315179e-05
1210.9999712449898055.75100203902459e-052.8755010195123e-05
1220.9999589348699528.21302600963832e-054.10651300481916e-05
1230.9999786101785864.27796428279677e-052.13898214139839e-05
1240.9999709254492955.81491014090435e-052.90745507045217e-05
1250.9999572281013998.55437972013117e-054.27718986006559e-05
1260.9999479515217630.0001040969564750135.20484782375063e-05
1270.9999567891609678.64216780668873e-054.32108390334437e-05
1280.9999400520127380.0001198959745247135.99479872623566e-05
1290.9999373829035080.0001252341929844076.26170964922036e-05
1300.999909892034320.0001802159313598769.01079656799379e-05
1310.9999463521323310.0001072957353384845.36478676692419e-05
1320.9999306481812690.0001387036374626036.93518187313013e-05
1330.9999365549045530.000126890190893626.34450954468102e-05
1340.9999115536877880.0001768926244243048.84463122121518e-05
1350.999870782806470.0002584343870590960.000129217193529548
1360.9998164736062910.0003670527874177540.000183526393708877
1370.99986632779660.0002673444068007730.000133672203400387
1380.9998192523890490.0003614952219021430.000180747610951072
1390.9997423352181530.0005153295636935810.00025766478184679
1400.999696157907680.0006076841846398370.000303842092319918
1410.9995657439655230.0008685120689537040.000434256034476852
1420.9993867699502430.00122646009951360.000613230049756802
1430.9992104297759160.001579140448167690.000789570224083845
1440.9991668212336530.001666357532694980.00083317876634749
1450.9988944448091490.002211110381702330.00110555519085116
1460.9986470162718910.002705967456218930.00135298372810946
1470.9988057640748690.002388471850261590.0011942359251308
1480.9984643088500080.00307138229998330.00153569114999165
1490.9982136926669370.003572614666126630.00178630733306331
1500.9982323222023980.003535355595204990.00176767779760249
1510.9977175914555410.004564817088918760.00228240854445938
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1540.9979651212314750.004069757537049160.00203487876852458
1550.9972163016219190.005567396756162790.0027836983780814
1560.9967462541653790.006507491669241970.00325374583462099
1570.9957206410184250.008558717963150420.00427935898157521
1580.9946561937509120.01068761249817580.00534380624908789
1590.9930994565566580.01380108688668330.00690054344334165
1600.9913872834429280.01722543311414440.0086127165570722
1610.9894342547712860.02113149045742860.0105657452287143
1620.98760272392510.02479455214979920.0123972760748996
1630.9853078063356530.02938438732869320.0146921936643466
1640.9825434367232740.03491312655345170.0174565632767259
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1680.9923191807405250.01536163851894980.0076808192594749
1690.9901031583291690.01979368334166310.00989684167083154
1700.9873429509469670.02531409810606670.0126570490530334
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1770.9827329568011830.03453408639763330.0172670431988167
1780.9843431251956480.03131374960870340.0156568748043517
1790.9800826066068230.03983478678635330.0199173933931767
1800.9833598378079640.03328032438407210.0166401621920361
1810.9786364768274940.04272704634501190.0213635231725059
1820.9808869117266230.0382261765467540.019113088273377
1830.9766916833544720.04661663329105660.0233083166455283
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1850.9673236908671320.06535261826573690.0326763091328685
1860.9615505018655510.07689899626889730.0384494981344487
1870.9517553202359340.0964893595281330.0482446797640665
1880.9797768416574360.04044631668512850.0202231583425642
1890.9735088201537110.05298235969257750.0264911798462887
1900.9714594166725750.05708116665484960.0285405833274248
1910.9762045537116970.04759089257660550.0237954462883028
1920.9720232764704630.05595344705907490.0279767235295374
1930.966885369885790.06622926022842050.0331146301142102
1940.974550386725460.05089922654907910.0254496132745396
1950.9667589814668880.06648203706622450.0332410185331123
1960.9576284296844860.08474314063102730.0423715703155137
1970.9774129073840590.04517418523188110.0225870926159406
1980.9698313313775960.06033733724480750.0301686686224037
1990.9674566349586210.06508673008275860.0325433650413793
2000.9625560923914290.07488781521714190.037443907608571
2010.9504821350194680.09903572996106450.0495178649805322
2020.939131099053120.121737801893760.0608689009468799
2030.9225891005285460.1548217989429090.0774108994714543
2040.902662030272490.194675939455020.09733796972751
2050.8885301437028580.2229397125942840.111469856297142
2060.8759449382687070.2481101234625850.124055061731293
2070.8924780850353290.2150438299293420.107521914964671
2080.8643809848213830.2712380303572340.135619015178617
2090.8368344468193220.3263311063613560.163165553180678
2100.8427771019275570.3144457961448870.157222898072444
2110.8365418211005360.3269163577989280.163458178899464
2120.8042812139672110.3914375720655780.195718786032789
2130.8198952130874930.3602095738250140.180104786912507
2140.7864199760913510.4271600478172990.213580023908649
2150.7658221426542020.4683557146915960.234177857345798
2160.7325957850774810.5348084298450380.267404214922519
2170.7114845002176320.5770309995647360.288515499782368
2180.653324939445690.6933501211086190.34667506055431
2190.6102303204194220.7795393591611560.389769679580578
2200.5398020335851540.9203959328296910.460197966414846
2210.9718559692218780.05628806155624320.0281440307781216
2220.9553135677477320.08937286450453680.0446864322522684
2230.9440519166274230.1118961667451530.0559480833725765
2240.9179769734738870.1640460530522250.0820230265261126
2250.8800945960315530.2398108079368940.119905403968447
2260.8732255876071490.2535488247857030.126774412392851
2270.8146306492585070.3707387014829860.185369350741493
2280.8010366157070110.3979267685859780.198963384292989
2290.7640504436432020.4718991127135950.235949556356798
2300.7183258903764780.5633482192470430.281674109623522
2310.6301604313836530.7396791372326950.369839568616347
2320.9091847363250360.1816305273499280.0908152636749641
2330.941630325971110.116739348057780.0583696740288902
2340.9533109269619440.09337814607611110.0466890730380555







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1250.576036866359447NOK
5% type I error level1610.741935483870968NOK
10% type I error level1840.847926267281106NOK

\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 & 125 & 0.576036866359447 & NOK \tabularnewline
5% type I error level & 161 & 0.741935483870968 & NOK \tabularnewline
10% type I error level & 184 & 0.847926267281106 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145811&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]125[/C][C]0.576036866359447[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]161[/C][C]0.741935483870968[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]184[/C][C]0.847926267281106[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145811&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145811&T=6

As an alternative you can also use a QR Code:  

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1250.576036866359447NOK
5% type I error level1610.741935483870968NOK
10% type I error level1840.847926267281106NOK



Parameters (Session):
par1 = 4 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 4 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')
}