Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 227.039845124434 -97.252462831136X[t] + 0.945504547175353Y1[t] -0.78610162790592t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)227.039845124434132.045361.71940.0902270.045114
X-97.252462831136139.774326-0.69580.4890080.244504
Y10.9455045471753530.04800119.697700
t-0.786101627905922.146013-0.36630.7153070.357653


Multiple Linear Regression - Regression Statistics
Multiple R0.981200998591577
R-squared0.962755399637109
Adjusted R-squared0.961062463256977
F-TEST (value)568.689651268741
F-TEST (DF numerator)3
F-TEST (DF denominator)66
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation167.074407875857
Sum Squared Residuals1842314.61262650


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12440.252448.60545135936-8.35545135936304
22408.642532.73511311328-124.095113113279
32472.812502.06161274916-29.2516127491589
42407.62561.94853791350-154.348537913496
52454.622499.50608476428-44.8860847642851
62448.052543.17760694456-95.127606944564
72497.842536.17954044172-38.3395404417162
82645.642582.4701102176763.1698897823285
92756.762721.4295806622835.3304193377178
102849.272825.707944316523.5620556834978
112921.442912.390468347799.04953165221215
122981.852979.841429889532.00857011047251
133080.583036.1732579564844.4067420435156
143106.223128.7368202712-22.5168202712014
153119.313152.19345523287-32.8834552328712
163061.263163.78400812749-102.524008127491
173097.313108.11136753606-10.8013675360559
183161.693141.4107048338220.2792951661789
193257.163201.4961859530655.6638140469353
203277.013290.97740344399-13.9674034439893
213295.323308.95956707751-13.6395670775145
223363.993325.4856537083938.5043462916103
233494.173389.62734933501104.542650664985
243667.033511.92702965840155.102970341604
253813.063674.58084405522138.479155944778
263917.963811.86677145133106.093228548667
273895.513910.26409682212-14.7540968221217
283801.063888.25141811013-87.1914181101295
293570.123798.16241200151-228.042412001511
303701.613579.02149024893122.588509751071
313862.273702.55978152911159.710218470889
323970.13853.6784404504116.421559549603
334138.523954.84609414441183.673905855591
344199.754113.3018683517886.4481316482232
354290.894170.40901014742120.480989852583
364443.914255.79619294907188.113807050926
374502.644399.69119712994102.948802870061
384356.984454.43457755764-97.4545775576433
394591.274315.92628358817275.343716411826
404696.964536.66244231798160.297557682017
414621.44635.80671628104-14.4067162810398
424562.844563.57829106856-0.738291068563195
434202.524507.42344315807-304.903443158069
444296.494165.95314309194130.536856908060
454435.234254.0161037621181.213896237898
464105.184384.40930300930-279.229303009304
474116.684071.5594255861745.1205744138270
483844.494081.64662625078-237.156626250784
493720.983823.50364192722-102.523641927218
503674.43705.93827367768-31.5382736776845
513857.623661.11057024235196.509429757649
523801.063833.55981174791-32.499811747913
533504.373779.29597293177-274.925972931769
543032.63497.98812720241-465.388127202408
553047.033051.14134535359-4.11134535358478
562962.342966.74641151028-4.4064115102838
572197.822885.8855297821-688.065529782097
582014.452162.24229174769-147.79229174769
591862.831988.07902130424-125.249021304240
601905.411843.9355202336161.4744797663938
611810.991883.40900222443-72.419002224427
621670.071793.34836125222-123.278361252224
631864.441659.32175883637205.118241163633
642052.021842.31337604294209.706623957065
652029.62018.8850173741810.714982625818
662070.831996.9007037986073.9292962013954
672293.412035.09775465074258.312245349261
682443.272244.76205513312198.507944866877
692513.172385.66926494492127.500735055085
702466.922450.9739311645715.9460688354334


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.004369972057512460.008739944115024920.995630027942488
80.04470491077750330.08940982155500660.955295089222497
90.03582796262233610.07165592524467220.964172037377664
100.01383104043790990.02766208087581970.98616895956209
110.004843814973985040.009687629947970080.995156185026015
120.001626839519574760.003253679039149510.998373160480425
130.0005191989813125340.001038397962625070.999480801018688
140.0002096952233045420.0004193904466090840.999790304776695
159.19898580263282e-050.0001839797160526560.999908010141974
160.0001534390336916870.0003068780673833750.999846560966308
175.64214273901768e-050.0001128428547803540.99994357857261
181.77480496866038e-053.54960993732076e-050.999982251950313
195.86728816088942e-061.17345763217788e-050.99999413271184
202.15687405336657e-064.31374810673314e-060.999997843125947
218.13616181000394e-071.62723236200079e-060.999999186383819
222.34280832501783e-074.68561665003566e-070.999999765719167
231.20123152761869e-072.40246305523739e-070.999999879876847
241.78601221051951e-073.57202442103902e-070.99999982139878
251.23915243810773e-072.47830487621545e-070.999999876084756
264.06655233399634e-088.13310466799267e-080.999999959334477
272.69797558612951e-085.39595117225902e-080.999999973020244
287.93435862365834e-081.58687172473167e-070.999999920656414
291.55058372478887e-053.10116744957774e-050.999984494162752
306.80578369277434e-061.36115673855487e-050.999993194216307
313.46386010073290e-066.92772020146579e-060.9999965361399
321.43172668297632e-062.86345336595265e-060.999998568273317
331.01785187752707e-062.03570375505413e-060.999998982148123
343.868120218297e-077.736240436594e-070.999999613187978
351.65294207754987e-073.30588415509975e-070.999999834705792
361.49933500641581e-072.99867001283162e-070.9999998500665
376.61412462175626e-081.32282492435125e-070.999999933858754
381.15583504528919e-072.31167009057838e-070.999999884416495
394.73207841751131e-079.46415683502262e-070.999999526792158
405.82163448665894e-071.16432689733179e-060.99999941783655
414.82113099288891e-079.64226198577783e-070.9999995178869
425.25044569782968e-071.05008913956594e-060.99999947495543
436.83806499226659e-050.0001367612998453320.999931619350077
448.9659646447785e-050.000179319292895570.999910340353552
450.0003269690668559510.0006539381337119030.999673030933144
460.002525709179562360.005051418359124710.997474290820438
470.003692722863605720.007385445727211440.996307277136394
480.005565966515346720.01113193303069340.994434033484653
490.003795075092014230.007590150184028460.996204924907986
500.002860568262996070.005721136525992150.997139431737004
510.02210553969260930.04421107938521860.97789446030739
520.04391943174788080.08783886349576160.95608056825212
530.04915525182449910.09831050364899830.950844748175501
540.1121180923555050.224236184711010.887881907644495
550.08845594409845470.1769118881969090.911544055901545
560.8268760011365140.3462479977269730.173123998863486
570.877166907651180.2456661846976390.122833092348819
580.8530487965795070.2939024068409870.146951203420493
590.7919924549956270.4160150900087460.208007545004373
600.880985270875760.2380294582484820.119014729124241
610.8943004194255710.2113991611488570.105699580574428
620.8363376796239030.3273246407521930.163662320376097
630.7256216845697230.5487566308605540.274378315430277


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level400.701754385964912NOK
5% type I error level430.75438596491228NOK
10% type I error level470.824561403508772NOK