Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 569.211538461539 -41.4337606837607X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)569.2115384615394.992182114.020600
X-41.43376068376079.844716-4.20877.7e-053.9e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.454597189459123
R-squared0.206658604664134
Adjusted R-squared0.194991819438606
F-TEST (value)17.7134146784459
F-TEST (DF numerator)1
F-TEST (DF denominator)68
p-value7.70627714348215e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation35.9991389169965
Sum Squared Residuals88123.7841880342


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1555569.211538461537-14.2115384615372
2562569.211538461538-7.21153846153839
3561569.211538461538-8.21153846153849
4555569.211538461538-14.2115384615385
5544569.211538461538-25.2115384615385
6537569.211538461538-32.2115384615385
7543569.211538461538-26.2115384615385
8594569.21153846153824.7884615384615
9611569.21153846153841.7884615384615
10613569.21153846153843.7884615384615
11611569.21153846153841.7884615384615
12594569.21153846153824.7884615384615
13595569.21153846153825.7884615384615
14591569.21153846153821.7884615384615
15589569.21153846153819.7884615384615
16584569.21153846153814.7884615384615
17573569.2115384615383.78846153846151
18567569.211538461538-2.21153846153849
19569569.211538461538-0.211538461538488
20621569.21153846153851.7884615384615
21629569.21153846153859.7884615384615
22628569.21153846153858.7884615384615
23612569.21153846153842.7884615384615
24595569.21153846153825.7884615384615
25597569.21153846153827.7884615384615
26593569.21153846153823.7884615384615
27590569.21153846153820.7884615384615
28580569.21153846153810.7884615384615
29574569.2115384615384.78846153846151
30573569.2115384615383.78846153846151
31573569.2115384615383.78846153846151
32620569.21153846153850.7884615384615
33626569.21153846153856.7884615384615
34620569.21153846153850.7884615384615
35588569.21153846153818.7884615384615
36566569.211538461538-3.21153846153849
37557569.211538461538-12.2115384615385
38561569.211538461538-8.21153846153849
39549569.211538461538-20.2115384615385
40532569.211538461538-37.2115384615385
41526569.211538461538-43.2115384615385
42511569.211538461538-58.2115384615385
43499569.211538461538-70.2115384615385
44555569.211538461538-14.2115384615385
45565569.211538461538-4.21153846153849
46542569.211538461538-27.2115384615385
47527569.211538461538-42.2115384615385
48510569.211538461538-59.2115384615385
49514569.211538461538-55.2115384615385
50517569.211538461538-52.2115384615385
51508569.211538461538-61.2115384615385
52493569.211538461538-76.2115384615385
53490527.777777777778-37.7777777777778
54469527.777777777778-58.7777777777778
55478527.777777777778-49.7777777777778
56528527.7777777777780.222222222222217
57534527.7777777777786.22222222222222
58518527.777777777778-9.77777777777778
59506527.777777777778-21.7777777777778
60502527.777777777778-25.7777777777778
61516527.777777777778-11.7777777777778
62528527.7777777777780.222222222222217
63533527.7777777777785.22222222222222
64536527.7777777777788.22222222222222
65537527.7777777777789.22222222222222
66524527.777777777778-3.77777777777778
67536527.7777777777788.22222222222222
68587527.77777777777859.2222222222222
69597527.77777777777869.2222222222222
70581527.77777777777853.2222222222222


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.01474860413673350.02949720827346700.985251395863266
60.01416906048945590.02833812097891170.985830939510544
70.005017762610538160.01003552522107630.994982237389462
80.04603813836957220.09207627673914440.953961861630428
90.1633153003099780.3266306006199560.836684699690022
100.2580738573912920.5161477147825850.741926142608708
110.3008502143139330.6017004286278660.699149785686067
120.2480067872748690.4960135745497380.751993212725131
130.2019122700259680.4038245400519370.798087729974032
140.1531461203285960.3062922406571920.846853879671404
150.1108893946938940.2217787893877880.889110605306106
160.07490156020411120.1498031204082220.925098439795889
170.04784982606057230.09569965212114470.952150173939428
180.03053853154962950.06107706309925910.96946146845037
190.01858569742143380.03717139484286770.981414302578566
200.03241160745195630.06482321490391260.967588392548044
210.06618865497852110.1323773099570420.933811345021479
220.1107105320541620.2214210641083250.889289467945838
230.1165075120541750.2330150241083500.883492487945825
240.09490555171375830.1898111034275170.905094448286242
250.07952412134727940.1590482426945590.92047587865272
260.06405367755956920.1281073551191380.93594632244043
270.0503413896070520.1006827792141040.949658610392948
280.03722244691566770.07444489383133540.962777553084332
290.02725410248016800.05450820496033590.972745897519832
300.01980454793723340.03960909587446690.980195452062767
310.01427380590902990.02854761181805980.98572619409097
320.02911310624934440.05822621249868870.970886893750656
330.0808547881890210.1617095763780420.91914521181098
340.1848786778908770.3697573557817530.815121322109123
350.2128902860955760.4257805721911520.787109713904424
360.2148747471339140.4297494942678290.785125252866086
370.2195999248154420.4391998496308840.780400075184558
380.2276251476434240.4552502952868480.772374852356576
390.2402742662820910.4805485325641820.759725733717909
400.2784511116167610.5569022232335210.72154888838324
410.3228746637014680.6457493274029370.677125336298532
420.4141744791306770.8283489582613530.585825520869323
430.5500805913202780.8998388173594450.449919408679722
440.5343980576905490.9312038846189020.465601942309451
450.5654000712896780.8691998574206440.434599928710322
460.5609328344199940.8781343311600120.439067165580006
470.5558753636862280.8882492726275430.444124636313772
480.5686040327618340.8627919344763310.431395967238166
490.5620151346428450.875969730714310.437984865357155
500.5471564301049930.9056871397900130.452843569895007
510.5385466532448730.9229066935102540.461453346755127
520.5449674829509570.9100650340980860.455032517049043
530.5349850573057910.9300298853884180.465014942694209
540.6640379275641320.6719241448717360.335962072435868
550.7730021444012410.4539957111975190.226997855598759
560.7204848921431260.5590302157137480.279515107856874
570.6505774573795480.6988450852409030.349422542620452
580.5894890086672580.8210219826654830.410510991332742
590.5819032542276670.8361934915446660.418096745772333
600.6282922363398690.7434155273202610.371707763660131
610.6171553363614370.7656893272771250.382844663638563
620.5577644085795050.8844711828409910.442235591420495
630.480350251337260.960700502674520.51964974866274
640.3941198432831930.7882396865663860.605880156716807
650.3126251230323880.6252502460647770.687374876967612


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level60.098360655737705NOK
10% type I error level130.213114754098361NOK