Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 3521.28142857143 -1377.44342857143X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3521.2814285714384.8255441.51200
X-1377.44342857143184.548355-7.463900


Multiple Linear Regression - Regression Statistics
Multiple R0.668365905570427
R-squared0.446712983728976
Adjusted R-squared0.438694331319252
F-TEST (value)55.7092340337892
F-TEST (DF numerator)1
F-TEST (DF denominator)69
p-value1.90738980165861e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation634.77621662073
Sum Squared Residuals27802918.3179257


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12350.443521.28142857142-1170.84142857142
22440.253521.28142857143-1081.03142857143
32408.643521.28142857143-1112.64142857143
42472.813521.28142857143-1048.47142857143
52407.63521.28142857143-1113.68142857143
62454.623521.28142857143-1066.66142857143
72448.053521.28142857143-1073.23142857143
82497.843521.28142857143-1023.44142857143
92645.643521.28142857143-875.64142857143
102756.763521.28142857143-764.521428571428
112849.273521.28142857143-672.011428571429
122921.443521.28142857143-599.841428571429
132981.853521.28142857143-539.431428571429
143080.583521.28142857143-440.701428571429
153106.223521.28142857143-415.061428571429
163119.313521.28142857143-401.971428571429
173061.263521.28142857143-460.021428571428
183097.313521.28142857143-423.971428571429
193161.693521.28142857143-359.591428571429
203257.163521.28142857143-264.121428571429
213277.013521.28142857143-244.271428571428
223295.323521.28142857143-225.961428571429
233363.993521.28142857143-157.291428571429
243494.173521.28142857143-27.1114285714286
253667.033521.28142857143145.748571428572
263813.063521.28142857143291.778571428571
273917.963521.28142857143396.678571428571
283895.513521.28142857143374.228571428572
293801.063521.28142857143279.778571428571
303570.123521.2814285714348.8385714285712
313701.613521.28142857143180.328571428571
323862.273521.28142857143340.988571428571
333970.13521.28142857143448.818571428571
344138.523521.28142857143617.238571428572
354199.753521.28142857143678.468571428571
364290.893521.28142857143769.608571428572
374443.913521.28142857143922.62857142857
384502.643521.28142857143981.358571428572
394356.983521.28142857143835.69857142857
404591.273521.281428571431069.98857142857
414696.963521.281428571431175.67857142857
424621.43521.281428571431100.11857142857
434562.843521.281428571431041.55857142857
444202.523521.28142857143681.238571428572
454296.493521.28142857143775.208571428571
464435.233521.28142857143913.94857142857
474105.183521.28142857143583.898571428572
484116.683521.28142857143595.398571428572
493844.493521.28142857143323.208571428571
503720.983521.28142857143199.698571428571
513674.43521.28142857143153.118571428571
523857.623521.28142857143336.338571428571
533801.063521.28142857143279.778571428571
543504.373521.28142857143-16.9114285714288
553032.63521.28142857143-488.681428571429
563047.033521.28142857143-474.251428571429
572962.342143.838818.502
582197.822143.83853.9820000000003
592014.452143.838-129.388000000000
601862.832143.838-281.008
611905.412143.838-238.428
621810.992143.838-332.848
631670.072143.838-473.768
641864.442143.838-279.398
652052.022143.838-91.8179999999999
662029.62143.838-114.238
672070.832143.838-73.008
682293.412143.838149.572
692443.272143.838299.432
702513.172143.838369.332
712466.922143.838323.082


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.001055482702903440.002110965405806870.998944517297097
60.0001176343884557690.0002352687769115380.999882365611544
71.20811842465913e-052.41623684931825e-050.999987918815753
83.32728342187998e-066.65456684375997e-060.999996672716578
93.23788117540966e-056.47576235081932e-050.999967621188246
100.0002097000866594080.0004194001733188150.99979029991334
110.00086021891286980.00172043782573960.99913978108713
120.002494452806957470.004988905613914940.997505547193043
130.005794196639230520.01158839327846100.99420580336077
140.01412981762635410.02825963525270830.985870182373646
150.0258216860455090.0516433720910180.97417831395449
160.03950560677748490.07901121355496980.960494393222515
170.04864649245614930.09729298491229860.95135350754385
180.06195352256920820.1239070451384160.938046477430792
190.0839658913228910.1679317826457820.91603410867711
200.1225829905534120.2451659811068230.877417009446589
210.1686878242419400.3373756484838810.83131217575806
220.2223418038616250.444683607723250.777658196138375
230.2925670609810500.5851341219621010.70743293901895
240.3919414869609550.783882973921910.608058513039045
250.528065121002230.943869757995540.47193487899777
260.6715541750021680.6568916499956640.328445824997832
270.7868675623524460.4262648752951080.213132437647554
280.8473281301398710.3053437397202570.152671869860129
290.8723482589108680.2553034821782640.127651741089132
300.8797799331882420.2404401336235160.120220066811758
310.8881638055629560.2236723888740870.111836194437044
320.9003494414976940.1993011170046110.0996505585023055
330.9135833907281510.1728332185436980.0864166092718488
340.9323602974262680.1352794051474640.0676397025737322
350.9467490449148180.1065019101703640.0532509550851821
360.9599104612931320.08017907741373670.0400895387068684
370.9747879425471030.05042411490579430.0252120574528971
380.9849129852337290.03017402953254230.0150870147662711
390.9872880356671740.02542392866565130.0127119643328257
400.9932844157033550.01343116859328910.00671558429664453
410.9975454195814550.004909160837088890.00245458041854445
420.999000945821060.001998108357878760.000999054178939379
430.9995838028263760.0008323943472480860.000416197173624043
440.9995246321989550.0009507356020891780.000475367801044589
450.9996050741600170.0007898516799666310.000394925839983316
460.9998449304717770.0003101390564452940.000155069528222647
470.9998349377186340.0003301245627315820.000165062281365791
480.9998587613278760.0002824773442486800.000141238672124340
490.9997686540632530.0004626918734945590.000231345936747280
500.9995586752111420.0008826495777159290.000441324788857964
510.9991566366584030.001686726683193590.000843363341596795
520.9990529792967480.001894041406504870.000947020703252437
530.999163409548190.00167318090362190.00083659045181095
540.998858554206820.002282891586362070.00114144579318103
550.997588638201110.00482272359777820.0024113617988891
560.995037560006760.009924879986481710.00496243999324085
570.9993663835624650.001267232875070630.000633616437535316
580.998529358385350.002941283229298680.00147064161464934
590.9964736503351830.007052699329634720.00352634966481736
600.9933885563559170.01322288728816680.0066114436440834
610.9869795458299280.02604090834014480.0130204541700724
620.980570623634840.03885875273032060.0194293763651603
630.9874112512091150.02517749758176980.0125887487908849
640.9864958851678110.02700822966437730.0135041148321887
650.9723433426980340.05531331460393190.0276566573019660
660.9589525662396260.08209486752074840.0410474337603742


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level270.435483870967742NOK
5% type I error level370.596774193548387NOK
10% type I error level440.709677419354839NOK