Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 233.322207177395 -1.47716393306426X[t] + 0.958869379347753`Yt-1`[t] + 0.0185945754162885`Yt-2`[t] -0.111140032855127`Yt-3`[t] -0.00830507336071676`Yt-4`[t] + 0.0238808955022916t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)233.32220717739537.1369666.282700
X-1.477163933064260.245121-6.026300
`Yt-1`0.9588693793477530.1054299.094900
`Yt-2`0.01859457541628850.1749820.10630.915720.45786
`Yt-3`-0.1111400328551270.156051-0.71220.4790540.239527
`Yt-4`-0.008305073360716760.100585-0.08260.9344660.467233
t0.02388089550229160.1037530.23020.818730.409365


Multiple Linear Regression - Regression Statistics
Multiple R0.947449405751214
R-squared0.897660376458328
Adjusted R-squared0.88759418397882
F-TEST (value)89.1757611714314
F-TEST (DF numerator)6
F-TEST (DF denominator)61
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation13.6536518406792
Sum Squared Residuals11371.7547237755


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1501524.214323729296-23.2143237292961
2507507.889396219694-0.88939621969418
3569538.94651558973230.0534844102683
4580595.736380960834-15.7363809608336
5578577.4647268267470.535273173252837
6565566.028285343129-1.02828534312885
7547571.163067769649-24.1630677696488
8555556.327673301431-1.32767330143136
9562567.808132527576-5.80813252757626
10561573.994730754103-12.9947307541026
11555549.2588016067145.74119839328586
12544557.142657377872-13.1426573778718
13537554.684813799235-17.6848137992346
14543527.78691891731515.2130810826847
15594570.15815925610323.8418407438969
16611606.1799410169884.8200589830118
17613597.28928398201515.7107160179845
18611599.44226224815911.5577377518414
19594604.726503407476-10.7265034074755
20595591.4464264364393.55357356356116
21591602.658886379651-11.6588863796506
22589598.851561925453-9.85156192545325
23584583.9143293639060.0856706360935728
24573582.349540742719-9.34954074271928
25567578.93105643287-11.93105643287
26569550.23030089128818.7696991087117
27621602.07082861231918.929171387681
28629630.889276179485-1.88927617948462
29628613.52821157724514.4717884227546
30612617.729384552911-5.7293845529113
31595596.788001319949-1.78800131994861
32597589.8598545707667.14014542923441
33593598.146553021041-5.14655302104129
34590593.883228596085-3.88322859608452
35580569.01300302394910.9869969760507
36574581.682382593775-7.68238259377531
37573562.54383366684510.4561663331548
38573555.69092279373317.3090772062666
39620599.57928689003420.4207131099662
40626622.5258236986303.47417630137042
41620608.06172674532611.9382732546743
42588594.709198586839-6.709198586839
43566568.198303404662-2.19830340466233
44557563.25012816856-6.25012816855976
45561551.9327597500459.06724024995476
46549559.369624807693-10.3696248076927
47532529.2027102659512.79728973404856
48526531.092844286289-5.09284428628856
49511521.620936638641-10.6209366386404
50499497.4696557590871.53034424091322
51555523.00216106212231.9978389378780
52565560.9337052122424.06629478775771
53542560.785371974773-18.7853719747732
54527518.1930990025458.80690099745471
55510515.27197132739-5.27197132739004
56514520.835604474552-6.83560447455165
57517510.4313182017046.56868179829617
58508512.318097936428-4.3180979364275
59493507.896056058953-14.8960560589533
60490481.9241751955038.07582480449747
61469491.880618648458-22.8806186484582
62478463.40959025964514.5904097403549
63528501.5263679524926.4736320475099
64534546.406701958522-12.4067019585223
65518527.175887283712-9.17588728371198
66506507.962558585516-1.96255858551582
67502519.178171965965-17.1781719659653
68516524.405386583227-8.40538658322665


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.6964421228027380.6071157543945250.303557877197262
110.537925727514940.9241485449701190.462074272485060
120.8509632785093450.2980734429813090.149036721490655
130.9409024985841940.1181950028316130.0590975014158064
140.9312842482817020.1374315034365970.0687157517182983
150.9107687731649480.1784624536701040.0892312268350519
160.86367142798470.2726571440305990.136328572015300
170.8199718442099260.3600563115801490.180028155790075
180.7526559605794250.494688078841150.247344039420575
190.7054442006217080.5891115987565840.294555799378292
200.6403234507945650.7193530984108690.359676549205435
210.6235877543390170.7528244913219650.376412245660983
220.625023256194570.749953487610860.37497674380543
230.5745184823659420.8509630352681150.425481517634058
240.6733667118309030.6532665763381950.326633288169097
250.8561603481261320.2876793037477360.143839651873868
260.8178932346089580.3642135307820840.182106765391042
270.764116648131370.4717667037372610.235883351868630
280.7612318612782980.4775362774434030.238768138721702
290.7051118406402080.5897763187195840.294888159359792
300.7664539388234130.4670921223531740.233546061176587
310.7141215423987870.5717569152024270.285878457601213
320.6496140261738850.700771947652230.350385973826115
330.6247953203097190.7504093593805620.375204679690281
340.6350398915317340.7299202169365320.364960108468266
350.5635674916146110.8728650167707780.436432508385389
360.7179239740162520.5641520519674970.282076025983748
370.6518976957086350.6962046085827290.348102304291365
380.6007074421846820.7985851156306360.399292557815318
390.5234013985151060.9531972029697870.476598601484894
400.4611557131327650.922311426265530.538844286867235
410.5651754159674560.8696491680650880.434824584032544
420.5518191309681220.8963617380637570.448180869031878
430.5322110693363060.9355778613273870.467788930663694
440.478620436729330.957240873458660.52137956327067
450.6015397579502620.7969204840994760.398460242049738
460.6114985291186710.7770029417626580.388501470881329
470.6402108767247870.7195782465504270.359789123275213
480.62289774383320.75420451233360.3771022561668
490.6474515435739890.7050969128520230.352548456426011
500.5612288347607170.8775423304785650.438771165239283
510.5423626019807930.9152747960384150.457637398019207
520.4559892336183510.9119784672367030.544010766381649
530.4583541380008930.9167082760017860.541645861999107
540.3660743574033520.7321487148067040.633925642596648
550.2739852303319900.5479704606639810.72601476966801
560.189012943645160.378025887290320.81098705635484
570.2352799425168310.4705598850336610.76472005748317
580.3096694750345380.6193389500690770.690330524965462


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 level00OK