Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 295.147475775104 -1.66492981268395X[t] + 0.92094007036873`Y(t-1)`[t] -0.428433389858562`Y(t-4)`[t] + 0.233341475808244`Y(t-5)`[t] + 0.74824738479614t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)295.14747577510444.8512976.580600
X-1.664929812683950.188413-8.836600
`Y(t-1)`0.920940070368730.05585116.489300
`Y(t-4)`-0.4284333898585620.083759-5.11513e-062e-06
`Y(t-5)`0.2333414758082440.0847262.75410.0077460.003873
t0.748247384796140.2234063.34930.0013930.000697


Multiple Linear Regression - Regression Statistics
Multiple R0.975558514327225
R-squared0.951714414876342
Adjusted R-squared0.94775658003014
F-TEST (value)240.463397756413
F-TEST (DF numerator)5
F-TEST (DF denominator)61
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation11.6005175936534
Sum Squared Residuals8208.8925148804


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1431432.501157601142-1.50115760114177
2484474.1087462613759.89125373862475
3510500.1993481815389.8006518184625
4513516.23530592598-3.23530592598051
5503506.269739713973-3.26973971397268
6471485.755911023593-14.7559110235926
7471477.575092065238-6.57509206523761
8476473.9478036817112.05219631828935
9475484.451602725629-9.45160272562922
10470479.172558611877-9.17255861187697
11461472.677474875749-11.6774748757491
12455464.826517471886-9.82651747188625
13456457.148954709123-1.14895470912309
14517491.86115513496325.1388448650375
15525541.319868084565-16.3198680845649
16523525.265201861465-2.26520186146551
17519512.8529869285186.14701307148239
18509502.164113684536.8358863154701
19512520.659142454107-8.65914245410753
20519517.90318764771.09681235230044
21517527.011038057968-10.0110380579682
22510515.282962870834-5.28296287083424
23509510.461225329638-1.46122532963783
24501515.648200480826-14.6482004808263
25507500.863633611876.13636638812996
26569538.14017199316830.8598280068323
27580590.619422268316-10.6194222683160
28578571.5600327978186.43996720218226
29565562.865701252162.13429874784043
30547548.289486951941-1.28948695194066
31555545.0455979633299.95440203667066
32562559.5818625875142.41813741248573
33561568.716274937337-7.71627493733682
34555547.0825460245737.91745397542696
35544550.993851468043-6.99385146804268
36537549.636570126001-12.6365701260006
37543522.69104336115720.3089566388435
38594571.26050553592322.7394944640769
39611606.639074703894.36092529610998
40613594.67229502064118.3277049793586
41611599.38516516456511.6148348354351
42594588.4970291818645.50297081813633
43595582.03568157818912.9643184218106
44591598.469316031165-7.46931603116504
45589594.692944109331-5.6929441093307
46584585.76461367775-1.76461367774963
47573580.676288876203-7.67628887620293
48567581.0664406418-14.0664406418001
49569549.90665744046119.0933425595385
50621609.11495278224211.8850472177580
51629636.657182507893-7.65718250789253
52628615.6405228389312.3594771610700
53612625.364902151384-13.3649021513836
54595584.73795863246810.2620413675321
55597589.3585582266027.64144177339846
56593599.738119330317-6.73811933031672
57590600.593818514004-10.5938185140040
58580577.4881884746352.51181152536500
59574588.844324515009-14.8443245150091
60573570.9299937119512.07000628804879
61573563.2840651731079.71593482689325
62620616.2325725594353.76742744056469
63626635.361748661103-9.36174866110294
64620616.855524681743.14447531826002
65588609.014409486953-21.0144094869528
66566566.149952622259-0.149952622259350
67557573.181702441035-16.1817024410347


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.1760150204888950.352030040977790.823984979511105
100.07912785416645450.1582557083329090.920872145833545
110.04030700789964870.08061401579929740.959692992100351
120.02132072339341960.04264144678683930.97867927660658
130.03169307954508250.0633861590901650.968306920454918
140.1417195892674910.2834391785349820.85828041073251
150.2827732396653630.5655464793307270.717226760334637
160.2578994790407410.5157989580814820.742100520959259
170.3201788474610620.6403576949221240.679821152538938
180.3379630820859290.6759261641718580.662036917914071
190.2758024717625470.5516049435250950.724197528237453
200.2355181746917530.4710363493835060.764481825308247
210.1990696920550390.3981393841100780.800930307944961
220.1584636020834470.3169272041668930.841536397916553
230.1197966156303150.2395932312606300.880203384369685
240.1862404507411950.3724809014823910.813759549258805
250.1787706923308200.3575413846616400.82122930766918
260.4213526006301570.8427052012603130.578647399369843
270.4361336618283120.8722673236566230.563866338171688
280.4540376109135790.9080752218271570.545962389086421
290.4178904592520350.835780918504070.582109540747965
300.3841538688335640.7683077376671270.615846131166436
310.3849038017073820.7698076034147640.615096198292618
320.3193818706905450.638763741381090.680618129309455
330.3104721280303130.6209442560606250.689527871969687
340.2797167834707940.5594335669415890.720283216529206
350.3486520776883860.6973041553767720.651347922311614
360.678583194233120.6428336115337610.321416805766880
370.7028207693179690.5943584613640630.297179230682031
380.6835390001133180.6329219997733640.316460999886682
390.6206072264469430.7587855471061140.379392773553057
400.6211706769399020.7576586461201960.378829323060098
410.5524672580171510.8950654839656980.447532741982849
420.491198449166870.982396898333740.50880155083313
430.4675066673388230.9350133346776470.532493332661177
440.4286623726991900.8573247453983790.57133762730081
450.3783989831386630.7567979662773260.621601016861337
460.3139863581588560.6279727163177130.686013641841144
470.3634261421319720.7268522842639450.636573857868028
480.7035215043481070.5929569913037860.296478495651893
490.6367464446416120.7265071107167760.363253555358388
500.5551629562427920.8896740875144150.444837043757208
510.5151032500014960.9697934999970080.484896749998504
520.4850438871258690.9700877742517370.514956112874131
530.636973267339110.726053465321780.36302673266089
540.5306198293305850.938760341338830.469380170669415
550.4923491523300150.984698304660030.507650847669985
560.3994968594988940.7989937189977880.600503140501106
570.2951754350194880.5903508700389770.704824564980512
580.244838511954750.48967702390950.75516148804525


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.02OK
10% type I error level30.06OK