Multiple Linear Regression - Estimated Regression Equation
HFCE[t] = + 71477.0285422472 -421.673162748552RPI[t] -0.104860415997025`HFCE-1`[t] + 0.870028900662522`HFCE-2`[t] + 0.0742366888686009`HFCE-3`[t] + 2800.16997442852Q1[t] -13222.0530399475Q2[t] -14003.3472016326Q3[t] + 695.827997756174t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)71477.028542247211082.7560066.449400
RPI-421.67316274855279.354233-5.31381e-060
`HFCE-1`-0.1048604159970250.158377-0.66210.5098620.254931
`HFCE-2`0.8700289006625220.1555985.591500
`HFCE-3`0.07423668886860090.1617870.45890.6476150.323807
Q12800.169974428522548.7883471.09860.275310.137655
Q2-13222.05303994752824.834412-4.68061.2e-056e-06
Q3-14003.34720163262380.838002-5.881700
t695.827997756174124.3455165.595900


Multiple Linear Regression - Regression Statistics
Multiple R0.998029220778848
R-squared0.996062325528435
Adjusted R-squared0.995658461480069
F-TEST (value)2466.33076046058
F-TEST (DF numerator)8
F-TEST (DF denominator)78
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2004.35192048201
Sum Squared Residuals313359276.448913


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1123297122298.601910029998.398089971375
2114813112447.2738881732365.72611182688
3117925118658.882445767-733.882445766559
4126466125524.265548002941.73445199829
5131235129274.6756196101960.32438039044
6120546120351.131002470194.868997529791
7123791124820.387091224-1029.38709122434
8129813129769.74561171243.2543882879276
9133463133694.153699774-231.153699774423
10122987122579.716618162407.283381838195
11125418124854.057288611563.942711389308
12130199129569.344325969629.65567403141
13133016133057.995028698-41.9950286975279
14121454121481.114570997-27.1145709971728
15122044124233.156703777-2189.15670377696
16128313128767.310963161-454.310963161168
17131556130712.756330580843.243669420483
18120027120249.138595643-222.138595643181
19123001123436.649523139-435.649523138921
20130111128076.323547892034.67645210992
21132524132305.351229291218.648770708957
22123742123512.119271750229.880728250156
23124931126047.058918214-1116.05891821434
24133646132991.425142505654.574857495075
25136557135745.245769145811.75423085505
26127509127699.836741347-190.836741346731
27128945130688.591587806-1743.59158780591
28137191137539.101421650-348.101421650137
29139716140368.582497518-652.582497517941
30129083131510.102019011-2427.10201901097
31131604134210.077829541-2606.07782954062
32139413139412.660993750.339006249869755
33143125143409.453490695-284.453490694735
34133948134337.684457606-389.684457606482
35137116138222.604904694-1106.60490469414
36144864144754.39172508109.608274919903
37149277149133.406811198143.593188802141
38138796139940.922684978-1144.92268497841
39143258144525.775619595-1267.77561959477
40150034149333.387498815700.612501184725
41154708154674.67039935533.3296006446181
42144888144873.88115361214.1188463878694
43148762149122.667671999-360.667671998551
44156500155008.0755177061491.92448229352
45161088160038.9800534591049.01994654085
46152772151546.5332281731225.46677182748
47158011156140.2106854321870.78931456771
48163318163353.292439757-35.2924397574393
49169969169727.517494887241.482505112679
50162269158414.6940263463854.3059736541
51165765164010.0025872061754.99741279439
52170600172010.609506008-1410.60950600789
53174681177005.765420252-2324.76542025151
54166364165801.890877485562.109122514546
55170240169612.557485915627.44251408479
56176150176930.055957087-780.055957087267
57182056182645.468980927-589.46898092703
58172218172087.213240124130.786759875881
59177856177724.979725528131.020274471795
60182253183459.045561617-1206.04556161673
61188090189994.177621111-1904.17762111082
62176863177878.102721622-1015.10272162209
63183273183489.168220442-216.168220442115
64187969187970.856657104-1.85665710360944
65194650195254.019584062-604.019584061857
66183036183409.059174851-373.059174851137
67189516189648.537551693-132.537551693487
68193805193595.836442435209.163557565243
69200499200658.678769234-159.678769234043
70188142188632.119245366-490.119245365938
71193732195057.106903458-1325.10690345774
72197126198620.934433299-1494.93443329882
73205140205243.314464920-103.314464920399
74191751192233.592672750-482.592672750217
75196700199342.78479719-2642.78479718981
76199784201752.277294759-1968.27729475926
77207360207351.1901043548.80989564570689
78196101193606.2620185972494.73798140276
79200824200130.182741199693.817258801417
80205743204763.525427944979.474572056214
81212489209878.5130922762610.48690772446
82200810197926.8466416522883.15335834799
83203683203529.403229022153.596770977609
84207286207381.53398375-95.533983749771
85210910212933.481628626-2023.48162862647
86194915202514.765149283-7599.76514928332
87217920206810.15648854911109.8435114512


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.07251928017995150.1450385603599030.927480719820049
130.02269881081895510.04539762163791030.977301189181045
140.00653361734723540.01306723469447080.993466382652765
150.001825252925568230.003650505851136470.998174747074432
160.001994634322611790.003989268645223580.998005365677388
170.0008689200705758870.001737840141151770.999131079929424
180.0002744540769322420.0005489081538644850.999725545923068
190.0002722542024374090.0005445084048748170.999727745797563
200.0001873613001020170.0003747226002040340.999812638699898
219.98074989927117e-050.0001996149979854230.999900192501007
227.55750785327577e-050.0001511501570655150.999924424921467
237.06770424835579e-050.0001413540849671160.999929322957516
244.74754385948592e-059.49508771897184e-050.999952524561405
252.00542256163889e-054.01084512327779e-050.999979945774384
267.39743552483052e-061.47948710496610e-050.999992602564475
273.30913344421007e-066.61826688842014e-060.999996690866556
281.17629370834936e-062.35258741669871e-060.999998823706292
295.21892190929217e-071.04378438185843e-060.999999478107809
304.83192267974532e-079.66384535949063e-070.999999516807732
311.64789645768043e-073.29579291536086e-070.999999835210354
327.31198413336719e-081.46239682667344e-070.999999926880159
332.49329138049039e-084.98658276098079e-080.999999975067086
341.42147205388678e-082.84294410777356e-080.99999998578528
351.21874322154418e-082.43748644308837e-080.999999987812568
364.60648940167522e-099.21297880335043e-090.99999999539351
372.35840265154597e-094.71680530309194e-090.999999997641597
388.17807810211445e-101.63561562042289e-090.999999999182192
391.65029606767771e-093.30059213535542e-090.999999998349704
406.13997130505105e-101.22799426101021e-090.999999999386003
413.05871321283437e-106.11742642566875e-100.999999999694129
421.49757838197939e-102.99515676395879e-100.999999999850242
433.19187402645567e-106.38374805291133e-100.999999999680813
441.93428854482545e-103.86857708965091e-100.999999999806571
459.24310412399491e-111.84862082479898e-100.999999999907569
468.4732741324961e-111.69465482649922e-100.999999999915267
473.79350052273352e-107.58700104546703e-100.99999999962065
481.00883063706315e-092.01766127412629e-090.99999999899117
493.86411488055981e-107.72822976111961e-100.999999999613588
502.15927901678716e-094.31855803357431e-090.99999999784072
519.8325007440201e-101.96650014880402e-090.99999999901675
527.59156197428184e-091.51831239485637e-080.999999992408438
539.88689326604604e-091.97737865320921e-080.999999990113107
544.10450668708562e-098.20901337417125e-090.999999995895493
551.92029747844126e-093.84059495688253e-090.999999998079703
561.55614008162405e-093.11228016324810e-090.99999999844386
576.76502635558374e-101.35300527111675e-090.999999999323497
583.48630748263141e-106.97261496526281e-100.99999999965137
592.71947115924948e-105.43894231849897e-100.999999999728053
607.3166130241806e-101.46332260483612e-090.999999999268339
613.64189904698123e-107.28379809396245e-100.99999999963581
622.27966179177347e-104.55932358354695e-100.999999999772034
635.65477209248383e-101.13095441849677e-090.999999999434523
644.10413636503102e-108.20827273006203e-100.999999999589586
652.52059574222443e-105.04119148444887e-100.99999999974794
661.25652003577676e-102.51304007155352e-100.999999999874348
677.55006972673888e-101.51001394534778e-090.999999999244993
681.78135085682623e-093.56270171365247e-090.99999999821865
691.62514006563992e-093.25028013127983e-090.99999999837486
705.97661316806998e-101.19532263361400e-090.999999999402339
714.68921464210029e-109.37842928420059e-100.999999999531079
723.00771788256793e-106.01543576513586e-100.999999999699228
732.16630243737373e-104.33260487474747e-100.99999999978337
741.97753013229126e-103.95506026458252e-100.999999999802247
751.12866245505971e-102.25732491011942e-100.999999999887134


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level610.953125NOK
5% type I error level630.984375NOK
10% type I error level630.984375NOK