Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 4.05218005035397 + 5.57247979453095X[t] -9.08018148401166M1[t] -17.4122026084505M2[t] -87.6026002969237M3[t] -51.9540472089442M4[t] -56.6728845833714M5[t] -99.4931816097101M6[t] + 91.5516560161159M7[t] + 47.0075301255981M8[t] -37.6725414556083M9[t] -56.6356025629257M10[t] -40.4908145377453M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)4.05218005035397155.5503810.02610.9793050.489652
X5.572479794530951.5805133.52570.0008240.000412
M1-9.0801814840116628.606605-0.31740.7520490.376024
M2-17.412202608450528.586623-0.60910.5447940.272397
M3-87.602600296923733.900969-2.58410.0122590.00613
M4-51.954047208944229.223644-1.77780.0805890.040294
M5-56.672884583371429.159464-1.94360.0567240.028362
M6-99.493181609710133.986215-2.92750.0048480.002424
M791.551656016115935.1096882.60760.0115310.005765
M847.007530125598128.8845441.62740.1089750.054488
M9-37.672541455608334.641859-1.08750.2812450.140622
M10-56.635602562925735.652986-1.58850.1175130.058757
M11-40.490814537745330.716634-1.31820.192530.096265


Multiple Linear Regression - Regression Statistics
Multiple R0.576906910484904
R-squared0.332821583365237
Adjusted R-squared0.197124278286980
F-TEST (value)2.45267644168245
F-TEST (DF numerator)12
F-TEST (DF denominator)59
p-value0.0114715642009897
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation49.5074076690988
Sum Squared Residuals144608.021432746


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1467545.533002266007-78.5330022660068
2460546.674196792265-86.6741967922649
3448531.651349069648-83.651349069648
4443489.285185034194-46.2851850341943
5436515.214986529687-79.2149865296873
6431496.356352619832-65.3563526198317
7484546.974699423478-62.9746994234775
8510578.773546718034-68.773546718034
9513529.200097842372-16.2000978423725
10503557.045867009115-54.0458670091151
11471533.626048493126-62.6260484931257
12471509.476097414312-38.4760974143121
13476531.044554800221-55.0445548002206
14475522.155285696329-47.1552856963286
15470507.132437973712-37.1324379737118
16461526.620799657552-65.6207996575516
17455515.77223450914-60.7722345091404
18456487.997632928035-31.9976329280352
19517574.837098396132-57.8370983961324
20525564.285099252253-39.2850992522534
21523562.077728630105-39.0777286301051
22519574.877802351614-55.8778023516141
23509530.282560616407-21.2825606164072
24512516.720321147202-4.72032114720225
25519537.731530553658-18.7315305536578
26517527.170517511407-10.1705175114065
27510503.7889500969936.21104990300668
28509524.391807739739-15.3918077397392
29501494.039563310476.96043668953036
30507486.88313696912920.116863030871
31569582.638570108476-13.6385701084758
32580552.02564370428527.9743562957146
33578578.237920034245-0.237920034244812
34565569.862570536536-4.86257053653626
35547513.00787325336133.9921267466388
36555544.02547214040410.9745278595961
37562524.91482702623637.0851729737635
38561527.17051751140733.8294824885935
39555544.46805259706910.5319474029308
40544525.50630369864518.4936963013546
41537490.13882745429846.8611725457020
42543525.33324755139317.6667524486074
43594582.63857010847611.3614298915242
44611590.47575428654920.5242457134511
45613602.19958315072810.8004168492721
46611562.06109882419348.9389011758071
47594542.54201616437551.4579838356247
48595570.21612717469924.7838728253006
49591522.12858712897168.871412871029
50589521.04078973742367.9592102625775
51584499.88821424082284.1117857591784
52573524.94905571919248.0509442808077
53567494.0395633104772.9604366895303
54569539.2644470377229.7355529622800
55621546.41745144402574.5825485559754
56629584.34602651256544.6539734874351
57628597.1843513356530.8156486643499
58612537.54218772825774.4578122717432
59595569.84716715757725.1528328424231
60597574.11686303087122.8831369691290
61593546.64749822490746.3525017750927
62590547.78869275117142.2113072488290
63580560.07099602175619.9290039782441
64574513.24684815067760.7531518493227
65573559.79482488593513.2051751140651
66573543.16518289389229.8348171061084
67620571.49361051941448.5063894805862
68626611.09392952631314.9060704736866
69620606.100319006913.8996809931004
70588596.610473550285-8.6104735502848
71566592.694334315154-26.6943343151538
72557572.445119092512-15.4451190925118


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.05693426151364260.1138685230272850.943065738486357
170.03466147262239420.06932294524478840.965338527377606
180.02645806637916720.05291613275833450.973541933620833
190.04116932984816140.08233865969632290.958830670151839
200.02932895456948150.05865790913896290.970671045430519
210.01841699953912280.03683399907824560.981583000460877
220.01650998161069340.03301996322138680.983490018389307
230.0346409074039940.0692818148079880.965359092596006
240.05806533790730160.1161306758146030.941934662092698
250.1759837948574550.351967589714910.824016205142545
260.3719932960820330.7439865921640660.628006703917967
270.5619494242906890.8761011514186230.438050575709311
280.776800121963350.4463997560732990.223199878036650
290.8963034014157520.2073931971684950.103696598584248
300.9587299149029640.08254017019407210.0412700850970360
310.9894256594539040.02114868109219250.0105743405460962
320.9951214988544780.00975700229104430.00487850114552215
330.9981108230314890.003778353937022440.00188917696851122
340.999230663124960.001538673750080270.000769336875040134
350.9996855742803160.0006288514393679290.000314425719683965
360.9998244528381950.0003510943236108720.000175547161805436
370.9999420570650930.0001158858698143125.79429349071562e-05
380.9999771187046064.57625907873837e-052.28812953936918e-05
390.999986269164262.74616714800909e-051.37308357400455e-05
400.9999925216729831.49566540343420e-057.47832701717102e-06
410.999998613721272.77255746140348e-061.38627873070174e-06
420.9999994821565041.03568699207632e-065.17843496038158e-07
430.9999995497791219.00441757919387e-074.50220878959693e-07
440.99999934595821.30808359924549e-066.54041799622746e-07
450.9999982131968423.57360631575212e-061.78680315787606e-06
460.9999967010027146.59799457287187e-063.29899728643594e-06
470.9999913276482961.73447034075732e-058.67235170378658e-06
480.9999835794532333.28410935345649e-051.64205467672825e-05
490.9999606293502777.874129944706e-053.937064972353e-05
500.9998938302460370.0002123395079264340.000106169753963217
510.999722667629870.0005546647402605230.000277332370130261
520.999072405323550.001855189352900290.000927594676450144
530.998483048582330.003033902835341850.00151695141767092
540.9944193271778580.01116134564428340.00558067282214171
550.983330695235840.03333860952832070.0166693047641604
560.9471077584685070.1057844830629870.0528922415314934


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level220.536585365853659NOK
5% type I error level270.658536585365854NOK
10% type I error level330.804878048780488NOK