Multiple Linear Regression - Estimated Regression Equation
consumer_goods[t] = -0.0429446894771792 + 0.0694911177070696durable_consumer_goods[t] + 0.000787201827295588intermediate_and_capital_goods[t] + 0.929810783418774`non-durable_consumer_goods`[t] + 0.000637625069844741energy[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.04294468947717920.206983-0.20750.8364020.418201
durable_consumer_goods0.06949111770706960.00095672.726500
intermediate_and_capital_goods0.0007872018272955880.0009670.81430.4190050.209503
`non-durable_consumer_goods`0.9298107834187740.001118831.563700
energy0.0006376250698447410.0017290.36870.7137650.356882


Multiple Linear Regression - Regression Statistics
Multiple R0.99997552446912
R-squared0.999951049537292
Adjusted R-squared0.999947489503641
F-TEST (value)280882.471188093
F-TEST (DF numerator)4
F-TEST (DF denominator)55
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0597228360617345
Sum Squared Residuals0.196174943099125


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1104.8104.888971472303-0.088971472302516
2111.4111.482915104-0.0829151039995374
3106.9106.8884280923960.0115719076043193
4103.9103.926079470486-0.0260794704857729
5107.6107.5253129909770.0746870090228907
6104.7104.753469504161-0.0534695041610923
7109.1109.210130887631-0.11013088763103
8109.3109.31117426865-0.0111742686498548
9102.2102.1717745440260.0282254559741971
10109.8109.7984858782170.00151412178262483
11106.2106.0585463036680.141453696331729
1295.194.99677693414520.103223065854754
13118.7118.719867687733-0.0198676877331609
14116.9116.98342190227-0.0834219022696744
15105.3105.318083017428-0.0180830174279993
16119.5119.467801486540.0321985134595846
1796.596.45352645802350.046473541976477
1899.399.3198630021812-0.0198630021811765
19113.8113.7592214545890.0407785454106511
20102.7102.739089661302-0.0390896613018
2198.898.78432195574560.0156780442543754
22109.9109.8847764418940.015223558105621
23103.6103.631650562492-0.0316505624924117
2496.696.58301855281780.0169814471822037
25111.6111.552174956570.0478250434295866
26111.6111.651071596718-0.0510715967177158
27107107.050105691926-0.0501056919261603
28111.5111.501754194456-0.00175419445589264
29102101.9369051933180.0630948066817323
30113.5113.582354338177-0.082354338177334
31125.5125.4643413912170.035658608783084
32106.7106.760384472025-0.0603844720245266
33102.9102.981414616891-0.0814146168914362
34123.6123.621300075386-0.0213000753861574
35107.7107.787367654133-0.0873676541326206
36105.5105.4741085976420.0258914023577819
37117.1117.0674709616040.0325290383960834
38113.3113.316230628783-0.0162306287829366
39118117.9894687862860.0105312137139159
40118.4118.3769178725830.0230821274172496
41105.8105.827331215546-0.0273312155463768
42114.6114.5568818731510.0431181268485605
43140.3140.2809173416140.0190826583860364
44113.8113.849769134804-0.049769134804425
45117.4117.3764560249010.0235439750988632
46115.4115.477796848277-0.0777968482773577
47105.9105.930646086628-0.0306460866274992
48120.4120.428569883196-0.0285698831960411
49126.9126.7663480638830.133651936116977
50117.1117.14278338609-0.0427833860904782
51113.8113.7413723312820.0586276687175225
52112.8112.807357358688-0.00735735868780357
53106.7106.6479923920960.0520076079040447
54107.3107.239067919070.0609320809300585
55121.8121.7385716192730.0614283807267671
56101.1101.0138221984190.0861778015806762
57103.1103.037196434950.0628035650497927
58110.4110.3345485040680.0654514959321681
59108.3108.374236365562-0.0742363655620307
60116.3116.358256357108-0.0582563571075098


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.2592911114096590.5185822228193170.740708888590341
90.1302716596580210.2605433193160410.86972834034198
100.2457510519838960.4915021039677930.754248948016104
110.2251238564867630.4502477129735250.774876143513237
120.1985463253042120.3970926506084230.801453674695788
130.1693861286259610.3387722572519220.830613871374039
140.2107190595904110.4214381191808220.789280940409589
150.2450476924787760.4900953849575520.754952307521224
160.1747477402642940.3494954805285880.825252259735706
170.1257322976786560.2514645953573130.874267702321344
180.09344931671596450.1868986334319290.906550683284036
190.1113325760362090.2226651520724190.888667423963791
200.1308155728814050.2616311457628110.869184427118595
210.106303724770110.2126074495402210.89369627522989
220.09609543960937920.1921908792187580.903904560390621
230.4472381223790490.8944762447580980.552761877620951
240.4235436184732570.8470872369465140.576456381526743
250.5604627188519880.8790745622960250.439537281148012
260.6304315405155330.7391369189689340.369568459484467
270.726819055738440.5463618885231210.27318094426156
280.6822744772787530.6354510454424940.317725522721247
290.6587943336754680.6824113326490640.341205666324532
300.8270750672929910.3458498654140190.172924932707009
310.7941453554239370.4117092891521260.205854644576063
320.8527029707877520.2945940584244960.147297029212248
330.9370728145269470.1258543709461050.0629271854730526
340.9150898985670280.1698202028659450.0849101014329723
350.9500451347631180.0999097304737640.049954865236882
360.9638968595775570.0722062808448870.0361031404224435
370.9497468014175470.1005063971649060.0502531985824532
380.9385373513124390.1229252973751220.0614626486875609
390.907356977490860.1852860450182810.0926430225091403
400.8696502372256430.2606995255487140.130349762774357
410.8289964977697820.3420070044604370.171003502230218
420.7882232451779580.4235535096440830.211776754822042
430.7646712501748080.4706574996503850.235328749825192
440.7072577995251290.5854844009497420.292742200474871
450.6305527801170090.7388944397659830.369447219882991
460.7279371103002460.5441257793995080.272062889699754
470.6398202318477530.7203595363044930.360179768152246
480.5682639867371750.8634720265256490.431736013262825
490.8681339854993760.2637320290012480.131866014500624
500.9355349926208850.1289300147582310.0644650073791154
510.8949790845324130.2100418309351750.105020915467587
520.785615802729910.428768394540180.21438419727009


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level20.0444444444444444OK