Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 17.0254941272264 -2.97333759398567X[t] + 1.41303661442087Y1[t] -0.370434738549315Y2[t] -0.0226275979163081Y3[t] -0.0678756241040444Y4[t] + 0.163198807114589t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)17.02549412722646.6014482.57910.0112780.005639
X-2.973337593985673.315291-0.89690.3718280.185914
Y11.413036614420870.09664814.620400
Y2-0.3704347385493150.168032-2.20460.0296470.014824
Y3-0.02262759791630810.168536-0.13430.8934520.446726
Y4-0.06787562410404440.097449-0.69650.4876240.243812
t0.1631988071145890.0692082.35810.0202030.010101


Multiple Linear Regression - Regression Statistics
Multiple R0.997970467716217
R-squared0.995945054433724
Adjusted R-squared0.995715529212992
F-TEST (value)4339.153018805
F-TEST (DF numerator)6
F-TEST (DF denominator)106
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation7.27639098080917
Sum Squared Residuals5612.2617647937


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1405.7401.8245443805683.87545561943187
2406.7405.2766213123251.42337868767535
3407.2405.3981836384511.80181636154907
4412.4405.8567349040486.54326509595179
5415.9412.9969776411112.90302235888937
6414416.10035453518-2.1003545351796
7411.8412.130660868755-0.330660868755126
8409.9409.4568552893390.443144710660566
9412.4407.555668705544.84433129446036
10415.9412.1340294531643.76597054683632
11416.3416.509088373448-0.209088373447860
12417.2416.0133749324151.18662506758483
13421.8417.0512471441224.74875285587844
14421.4423.134407389347-1.73440738934716
15415.1420.9808766656-5.88087666560015
16412.4412.2249436851740.175056314825548
17411.8410.6035056545011.19649434549879
18408.8411.088760403561-2.28876040356085
19404.5407.723821156772-3.22382115677194
20402.5403.119107481355-0.619107481355438
21409.4402.1577106036027.24228939639828
22410.7413.112657070671-2.41265707067113
23413.4412.8939241600230.506075839977374
24415.2416.370377488545-1.17037748854498
25417.7417.5791107239250.120889276075128
26417.8420.458785711994-2.65878571199355
27417.9419.613207472847-1.71320747284674
28418.4419.70192134937-1.30192134937036
29418.2420.362643169789-2.16264316978871
30416.6420.048966962542-3.44896696254241
31418.9418.0072927729250.892707227074969
32421421.983759082418-0.983759082417645
33423.5424.31211416264-0.812114162639592
34432.3427.2865490782125.01345092178829
35432.3438.754751354793-6.45475135479311
36428.6435.459016657264-6.85901665726445
37426.7430.025168069098-3.32516806909827
38427.3428.27690034933-0.976900349330005
39428.5430.075469240631-1.57546924063121
40437432.0061833871474.99381661285283
41442443.851058857628-1.85105885762786
42444.9447.862866967216-2.96286696721563
43441.4449.997912932191-8.59791293219065
44440.3443.451142052573-3.15114205257325
45447.1442.951524014274.14847598572999
46455.3453.0132072946562.28679270534389
47478.6462.50680515995916.0931948400415
48486.5492.476987747659-5.97698774765852
49487.8494.524945853678-6.72494585367764
50485.9492.514854675897-6.61485467589668
51483.8487.751458690334-3.95145869033436
52488.4485.0854733026963.31452669730423
53494492.4813076118061.51869238819444
54493.6499.029993303772-5.42999330377211
55487.3496.591994789446-9.29199478944569
56482.1487.562294401919-5.46229440191858
57484.2482.3403892110891.85961078891073
58496.8487.5669296654589.23307033454159
59501.1505.301756804343-4.20175680434267
60499.8507.178970637462-7.37897063746242
61495.5503.484705925704-7.98470592570384
62498.1497.1008809161720.99911908382831
63503.8502.2683949901861.53160500981355
64516.2509.7083091616476.49169083835291
65526.1525.5147174069140.585282593085601
66527.1534.76813400799-7.66813400799054
67525.1532.009592246333-6.90959224633251
68528.9527.9106121277940.989387872205504
69540.1533.4896232702616.61037672973944
70549548.048559724130.95144027586986
71556556.688681703964-0.688681703964186
72568.9562.9349111706785.96508882932204
73589.1577.77164652255611.328353477444
74590.3600.937090573746-10.6370905737459
75603.3594.546126217628.7538737823794
76638.8611.30160629709627.4983937029043
77643655.413712590609-12.4137125906087
78656.7647.9856224379538.71437756204665
79656.1664.265934121345-8.16593412134524
80654.1656.00173447474-1.90173447473958
81659.9652.9660451834526.93395481654834
82662.1661.149406339830.950593660169812
83669.2662.358744785386.84125521462021
84673.1671.7440583103681.35594168963245
85678.3674.3445539348043.95544606519593
86677.4680.10086533833-2.70086533833003
87678.5676.4959059889972.00409401100289
88672.4678.164457893499-5.76445789349856
89665.3668.968066733025-3.66806673302521
90667.9661.3945551868886.5054448131119
91672.1667.9251009959724.17489900402786
92662.5673.634620515667-11.1346205156667
93682.3659.0999270989923.2000729010099
94692.1690.5259118277921.57408817220781
95702.7697.1344089517155.5655910482855
96721.4708.84911498656312.5508850134370
97733.2729.9438024378853.25619756211501
98747.7738.9486700301618.7513299698388
99737.6754.087152134959-16.4871521349586
100729.3733.0710976013-3.77109760129934
101706.1724.118450833854-18.0184508338545
102674.3693.81815070581-19.5181507058105
103659658.5142239748420.485776025158301
104645.7649.926115218907-4.2261152189072
105646.1639.2578506469816.8421493530187
106633644.444355623212-11.4443556232125
107622.3627.288044987073-4.98804498707281
108628.2618.07814185629710.1218581437027
109637.3630.8111796740356.48882032596509
110639.6642.778732688406-3.17873268840567
111638.5643.413725938097-4.9137259380967
112650.5640.5642072474339.93579275256742
113655.4657.421611985447-2.02161198544754


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.05327201463947070.1065440292789410.94672798536053
110.01652367602938210.03304735205876430.983476323970618
120.005648206057246970.01129641211449390.994351793942753
130.00431178648236020.00862357296472040.99568821351764
140.001456244284165340.002912488568330680.998543755715835
150.001496523857606210.002993047715212430.998503476142394
160.0005472342177990260.001094468435598050.9994527657822
170.0004250353112435940.0008500706224871880.999574964688756
180.0004179726542522950.000835945308504590.999582027345748
190.0001907467881291470.0003814935762582950.99980925321187
206.38627785698852e-050.0001277255571397700.99993613722143
210.0001494196198713250.000298839239742650.999850580380129
227.50041848527208e-050.0001500083697054420.999924995815147
235.13559479874637e-050.0001027118959749270.999948644052013
241.86608872214456e-053.73217744428912e-050.999981339112779
258.67637480874332e-061.73527496174866e-050.999991323625191
263.00552095746989e-066.01104191493977e-060.999996994479043
271.07778191072874e-062.15556382145748e-060.99999892221809
283.75309826427624e-077.50619652855249e-070.999999624690174
291.2125394178203e-072.4250788356406e-070.999999878746058
303.86348245074370e-087.72696490148741e-080.999999961365176
312.28301951754785e-084.56603903509570e-080.999999977169805
327.9097420867311e-091.58194841734622e-080.999999992090258
333.79559636741921e-097.59119273483842e-090.999999996204404
344.68148204914326e-089.36296409828652e-080.99999995318518
352.11885750837688e-084.23771501675376e-080.999999978811425
367.72114613779455e-091.54422922755891e-080.999999992278854
372.52651635098144e-095.05303270196289e-090.999999997473484
381.03685776461038e-092.07371552922076e-090.999999998963142
393.99284355974862e-107.98568711949725e-100.999999999600716
404.37612120623795e-098.75224241247591e-090.999999995623879
411.81180819039469e-093.62361638078937e-090.999999998188192
428.26637666212131e-101.65327533242426e-090.999999999173362
434.88249334042997e-109.76498668085993e-100.99999999951175
441.93863335889733e-103.87726671779465e-100.999999999806137
455.03063835514618e-101.00612767102924e-090.999999999496936
463.88639550646753e-107.77279101293506e-100.99999999961136
471.83966241515281e-063.67932483030561e-060.999998160337585
481.50603034866150e-063.01206069732299e-060.999998493969651
498.28950826127074e-071.65790165225415e-060.999999171049174
504.27765254061355e-078.5553050812271e-070.999999572234746
512.38473642953617e-074.76947285907233e-070.999999761526357
521.27741584388530e-072.55483168777060e-070.999999872258416
536.22207638783779e-081.24441527756756e-070.999999937779236
545.75404165003672e-081.15080833000734e-070.999999942459584
557.54332259129016e-081.50866451825803e-070.999999924566774
564.23991443181684e-088.47982886363368e-080.999999957600856
572.04788544157639e-084.09577088315279e-080.999999979521146
583.70346482775592e-087.40692965551185e-080.999999962965352
592.65806501537123e-085.31613003074245e-080.99999997341935
601.89134759333784e-083.78269518667568e-080.999999981086524
611.6962144823663e-083.3924289647326e-080.999999983037855
629.25130273445294e-091.85026054689059e-080.999999990748697
634.02602988655916e-098.05205977311832e-090.99999999597397
644.24061109482202e-098.48122218964405e-090.999999995759389
652.14749453614351e-094.29498907228703e-090.999999997852505
662.47084276148594e-094.94168552297187e-090.999999997529157
674.01096077768932e-098.02192155537864e-090.99999999598904
683.93597895746357e-097.87195791492715e-090.999999996064021
693.0156687393205e-096.031337478641e-090.999999996984331
701.71008198864545e-093.4201639772909e-090.999999998289918
712.12223151849986e-094.24446303699972e-090.999999997877768
727.62566033566779e-091.52513206713356e-080.99999999237434
732.243017201485e-084.48603440297e-080.999999977569828
742.01837987634177e-064.03675975268355e-060.999997981620124
751.91228249219319e-053.82456498438637e-050.999980877175078
760.0007759056840353550.001551811368070710.999224094315965
770.01300356788944020.02600713577888040.98699643211056
780.01793464347752020.03586928695504040.98206535652248
790.1133845226042810.2267690452085610.886615477395719
800.1534071089866370.3068142179732740.846592891013363
810.1205386034748430.2410772069496860.879461396525157
820.1005551658614740.2011103317229480.899444834138526
830.07926718155886440.1585343631177290.920732818441136
840.06068482415739430.1213696483147890.939315175842606
850.0437849749625980.0875699499251960.956215025037402
860.03926792686344440.07853585372688890.960732073136556
870.02732978453836060.05465956907672130.97267021546164
880.03365257155923720.06730514311847430.966347428440763
890.03927171187781470.07854342375562950.960728288122185
900.02688398619632120.05376797239264250.973116013803679
910.01731336511884210.03462673023768430.982686634881158
920.2072064923595260.4144129847190510.792793507640474
930.2411961628128950.482392325625790.758803837187105
940.2849703227504220.5699406455008450.715029677249578
950.2643632543364830.5287265086729650.735636745663517
960.2745849246269570.5491698492539140.725415075373043
970.2209564020870380.4419128041740760.779043597912962
980.3478632992961020.6957265985922030.652136700703898
990.3610572250513620.7221144501027240.638942774948638
1000.7300221435705480.5399557128589050.269977856429452
1010.71518003052880.5696399389424020.284819969471201
1020.6875017046696930.6249965906606140.312498295330307
1030.8217324391620050.356535121675990.178267560837995


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level640.680851063829787NOK
5% type I error level690.73404255319149NOK
10% type I error level750.797872340425532NOK