Multiple Linear Regression - Estimated Regression Equation
Yt[t] = + 247.380841890866 -1.7746426149865Xt[t] + 78.1125743122357M1[t] + 65.7367308094882M2[t] + 80.5308594646116M3[t] + 68.6751867579987M4[t] + 48.8929798102283M5[t] + 54.0815320866645M6[t] + 32.8446193529302M7[t] + 20.7564387499451M8[t] + 28.3924274457508M9[t] + 45.068078292647M10[t] + 25.0159548712641M11[t] + 0.158264129372535t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)247.380841890866262.8639540.94110.3515710.175785
Xt-1.77464261498652.47651-0.71660.477250.238625
M178.11257431223576.16798612.664200
M265.73673080948826.14548210.696800
M380.53085946461166.17186113.048100
M468.67518675799876.14593311.174100
M548.89297981022836.1222777.986100
M654.08153208666456.1171878.840900
M732.84461935293026.1103945.37522e-061e-06
M820.75643874994516.1063963.39910.0014060.000703
M928.39242744575086.1049484.65072.8e-051.4e-05
M1045.0680782926476.1024177.385300
M1125.01595487126416.0989944.10170.0001668.3e-05
t0.1582641293725350.2649390.59740.5531960.276598


Multiple Linear Regression - Regression Statistics
Multiple R0.943285641139972
R-squared0.889787800780847
Adjusted R-squared0.858640874914565
F-TEST (value)28.5674356628586
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation9.642558735548
Sum Squared Residuals4277.03119255068


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1151.7138.95927723589412.740722764106
2121.3126.74169786252-5.44169786251956
3133140.984233601021-7.98423360102094
4119.6129.286825023781-9.6868250237806
5122.2108.59809663639113.6019033636092
6117.4113.7674487807013.63255121929907
7106.792.511335914840414.1886640851596
887.579.69409813373477.80590186626532
98186.9559581744169-5.95595817441694
10110.3103.6124088891876.68759111081302
118783.71854959717663.28145040282338
1255.758.6833945937864-2.98339459378643
13146136.6880366431479.3119633568533
14137.5123.90257163297613.597428367024
15138.5137.9676431099790.532356890021286
16135.6126.2524881065899.34751189341147
17107.3107.444880891084-0.144880891084483
1899112.596486609245-13.5964866092447
1991.491.32262731723430.0773726827656592
2068.479.108768025224-10.708768025224
2182.686.2996423613068-3.69964236130682
2298.4103.098064485276-4.69806448527576
2371.382.5298409995705-11.2298409995705
2447.657.6898966838289-10.0898966838289
25130.8135.960735125437-5.16073512543709
26113.6122.838088018419-9.23808801841897
27125.7137.417805853768-11.7178058537678
28113.6125.578425867329-11.9784258673285
2997.1106.273918719628-9.17391871962826
30104.4111.319045880889-6.9190458808893
3191.890.00969373657921.7903062634208
3275.177.778088018419-2.67808801841899
3389.285.51910156514763.6808984348524
34110.2102.2642844106677.93571558933304
3578.482.7431000678038-4.34310006780378
3668.457.619212933664310.7807870663357
37122.8135.890051375273-13.0900513752725
38129.7122.4834614498577.21653855014343
39159.1137.15191141595521.9480885840453
40139125.41900998641513.5809900135854
41102.2108.0311168629-5.83111686289976
42113.6113.235961859510.364038140490425
4381.591.7846383060006-10.2846383060006
4477.479.5707790139902-2.17077901399021
4587.687.31179256071890.288207439281135
46101.2104.074721832388-2.87472183238806
4787.283.98565185272923.21434814727081
4864.958.86176471858976.03823528141033
49133.1136.90189962025-3.8018996202497
50118124.134181036229-6.13418103622888
51135.9138.678406019278-2.7784060192779
52125.7126.963251015888-1.26325101588772
53108106.4519868899971.54801311000335
54128.3111.78105686965616.5189431303445
5584.790.4717047253454-5.77170472534544
5686.478.64826680863217.75173319136788
5792.286.51350533840985.68649466159022
5895.8102.850520382482-7.05052038248224
5992.383.22285748271999.07714251728012
6054.358.0457310701307-3.74573107013076


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.2164299717598510.4328599435197030.783570028240149
180.1045645069535740.2091290139071490.895435493046426
190.0541140938956710.1082281877913420.945885906104329
200.03342474028229640.06684948056459280.966575259717704
210.2590380101757410.5180760203514820.740961989824259
220.1863191098232040.3726382196464090.813680890176796
230.14323786708230.28647573416460.8567621329177
240.1008275521301830.2016551042603670.899172447869817
250.06893009909235420.1378601981847080.931069900907646
260.05660507658169320.1132101531633860.943394923418307
270.06078056450670780.1215611290134160.939219435493292
280.06511678586386470.1302335717277290.934883214136135
290.04556460938748040.09112921877496080.95443539061252
300.141047999970770.2820959999415390.85895200002923
310.1170130391813880.2340260783627760.882986960818612
320.2010731275436820.4021462550873630.798926872456318
330.5021992299760070.9956015400479850.497800770023993
340.5846922489362740.8306155021274520.415307751063726
350.7879627071355450.424074585728910.212037292864455
360.8402349195350380.3195301609299240.159765080464962
370.9577861612557240.08442767748855230.0422138387442761
380.9479514862918770.1040970274162460.0520485137081231
390.968787618373450.06242476325309970.0312123816265498
400.9462245734004440.1075508531991120.053775426599556
410.8896956244023130.2206087511953750.110304375597687
420.8789289733205360.2421420533589290.121071026679464
430.7875268010253840.4249463979492310.212473198974616


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 level40.148148148148148NOK