Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 335.571157600404 -1.70477710726246X[t] + 0.89890147954134`Y(t-1)`[t] + 0.0936947988015468`Y(t-2)`[t] -0.208005305165498`Y(t-3)`[t] -0.142243480596650`Y(t-4)`[t] + 0.96939388495551t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)335.57115760040445.2601397.414300
X-1.704777107262460.227642-7.488800
`Y(t-1)`0.898901479541340.0966749.298300
`Y(t-2)`0.09369479880154680.1514810.61850.5385330.269267
`Y(t-3)`-0.2080053051654980.138109-1.50610.1372040.068602
`Y(t-4)`-0.1422434805966500.10325-1.37770.173340.08667
t0.969393884955510.2169964.46733.5e-051.7e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.975397615345982
R-squared0.951400508022629
Adjusted R-squared0.946620230123215
F-TEST (value)199.026192209315
F-TEST (DF numerator)6
F-TEST (DF denominator)61
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation12.0710486924909
Sum Squared Residuals8888.32320872567


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1436440.902243740456-4.90224374045607
2431431.272079739549-0.272079739548576
3484472.79843403118811.2015659688121
4510499.75294050747310.2470594925274
5513520.355232311236-7.35523231123551
6503501.8242039318621.1757960681376
7471493.242542473447-22.2425424734472
8471479.9632090583-8.96320905829952
9476470.2114179015275.78858209847298
10475483.924401466178-8.92440146617794
11470472.137865882794-2.13786588279427
12461472.422884656475-11.4228846564752
13455466.205733951722-11.2057339517219
14456457.517837587031-1.5178375870309
15517493.28656121399923.7134387860008
16525541.31172295184-16.3117229518399
17523530.60246579095-7.6024657909504
18519507.97581850014811.0241814998525
19509513.403392580776-4.40339258077575
20512520.823393181115-8.82339318111535
21519515.4632553193173.5367446806826
22517526.336981774414-9.33698177441351
23510512.642727481362-2.64272748136249
24509509.852552023586-0.852552023585738
25501516.529461776951-15.5294617769509
26507501.0438996376465.95610036235386
27569537.01254221296731.9874577870325
28580591.82033977606-11.8203397760598
29578574.4515790409233.54842095907682
30565557.6649464459747.33505355402648
31547557.986657450614-10.9866574506140
32555543.30724572551911.6927542744807
33562555.8384997897956.16150021020511
34561566.203946658889-5.20394665888889
35555541.06164228130913.9383577186910
36544550.656763160455-6.65676316045531
37537549.764647008579-12.7646470085793
38543520.93448355984422.0655164401564
39594570.69759254513623.3024074548642
40611605.0689412939635.93105870603661
41613596.35312364754416.6468763524564
42611595.72955363178515.2704463682149
43594595.208599943498-1.20859994349809
44595581.79611664487713.2038833551227
45591594.136563829723-3.13656382972284
46589593.20841350488-4.20841350488008
47584579.2133205566154.78667944338537
48573579.429671690124-6.42967169012437
49567579.040112242969-12.0401122429686
50569547.97448965613321.0255103438671
51621609.43643800682711.5635619931732
52629634.918107355607-5.91810735560679
53628618.5546935107299.44530648927072
54612620.718854359773-8.71885435977258
55595593.2075727298541.79242727014585
56597587.547633339389.45236666061956
57593597.818111421003-4.81811142100308
58590598.29315378041-8.29315378041001
59580572.9624914038637.03750859613707
60574590.440021543954-16.4400215439536
61573570.5880990147142.41190098528601
62573564.590753716638.40924628336974
63620617.9164109718082.0835890281924
64626636.453506264288-10.4535062642883
65620622.983895416908-2.98389541690800
66588606.4476787923-18.4476787923001
67566576.293778706233-10.2937787062328
68557573.465747896203-16.4657478962033


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.2365104756820150.473020951364030.763489524317985
110.1651780938148370.3303561876296750.834821906185162
120.2034232412397410.4068464824794820.796576758760259
130.1518874577930230.3037749155860470.848112542206977
140.09171503166316390.1834300633263280.908284968336836
150.1615031456963570.3230062913927150.838496854303643
160.3949739133387680.7899478266775350.605026086661232
170.3459932607469640.6919865214939270.654006739253036
180.3906042446121350.781208489224270.609395755387865
190.3407798927322960.6815597854645930.659220107267704
200.2774829621406130.5549659242812260.722517037859387
210.2565136330805380.5130272661610770.743486366919462
220.2163009453441940.4326018906883870.783699054655806
230.1755880118565620.3511760237131250.824411988143438
240.1337485455869700.2674970911739400.86625145441303
250.2205962778132330.4411925556264670.779403722186767
260.2194881558276340.4389763116552680.780511844172366
270.4643914198730610.9287828397461220.535608580126939
280.5002222388370070.9995555223259860.499777761162993
290.5569685970647260.8860628058705480.443031402935274
300.4948325090558340.9896650181116670.505167490944166
310.5104231042587590.9791537914824820.489576895741241
320.5414669102143980.9170661795712040.458533089785602
330.500195413798780.999609172402440.49980458620122
340.5198875650685560.9602248698628870.480112434931444
350.5169219643707070.9661560712585850.483078035629293
360.6070984864223180.7858030271553650.392901513577682
370.9039443648203160.1921112703593680.0960556351796842
380.907860554819050.1842788903618990.0921394451809495
390.8952935467500450.2094129064999100.104706453249955
400.8643221263202530.2713557473594940.135677873679747
410.8538729308550820.2922541382898360.146127069144918
420.8331258130068420.3337483739863170.166874186993159
430.7806290941007190.4387418117985630.219370905899281
440.7767448344059870.4465103311880260.223255165594013
450.7172950457865410.5654099084269190.282704954213459
460.6908606628657150.6182786742685710.309139337134285
470.6100824441390560.7798351117218880.389917555860944
480.6829615155564750.6340769688870510.317038484443526
490.9411154475338830.1177691049322350.0588845524661173
500.9092425260411990.1815149479176030.0907574739588014
510.867069145480490.2658617090390210.132930854519510
520.8475859285540380.3048281428919230.152414071445962
530.7696193125803660.4607613748392680.230380687419634
540.721703255999370.556593488001260.27829674400063
550.6089479247799730.7821041504400550.391052075220028
560.7510088722725480.4979822554549050.248991127727452
570.7205363125370670.5589273749258650.279463687462933
580.5749999531594690.8500000936810630.425000046840531


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