Multiple Linear Regression - Estimated Regression Equation
Yt[t] = + 247.380841890874 -1.77464261498657Xt[t] + 78.1125743122356M1[t] + 65.7367308094882M2[t] + 80.5308594646116M3[t] + 68.6751867579987M4[t] + 48.8929798102284M5[t] + 54.0815320866646M6[t] + 32.8446193529302M7[t] + 20.7564387499451M8[t] + 28.3924274457508M9[t] + 45.068078292647M10[t] + 25.0159548712641M11[t] + 0.158264129372544t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)247.380841890874262.8639540.94110.3515710.175785
Xt-1.774642614986572.47651-0.71660.477250.238625
M178.11257431223566.16798612.664200
M265.73673080948826.14548210.696800
M380.53085946461166.17186113.048100
M468.67518675799876.14593311.174100
M548.89297981022846.1222777.986100
M654.08153208666466.1171878.840900
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
t0.1582641293725440.2649390.59740.5531960.276598


Multiple Linear Regression - Regression Statistics
Multiple R0.943285641139972
R-squared0.889787800780848
Adjusted R-squared0.858640874914566
F-TEST (value)28.5674356628588
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation9.64255873554797
Sum Squared Residuals4277.03119255066


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1151.7138.95927723589512.7407227641054
2121.3126.741697862520-5.44169786251965
3133140.984233601021-7.98423360102095
4119.6129.286825023781-9.68682502378063
5122.2108.59809663639113.6019033636092
6117.4113.7674487807013.63255121929910
7106.792.511335914840514.1886640851595
887.579.69409813373477.80590186626531
98186.9559581744169-5.95595817441691
10110.3103.6124088891876.68759111081307
118783.71854959717663.28145040282337
1255.758.6833945937864-2.98339459378642
13146136.6880366431479.31196335685345
14137.5123.90257163297613.597428367024
15138.5137.9676431099790.532356890021326
16135.6126.2524881065899.3475118934115
17107.3107.444880891084-0.144880891084483
1899112.596486609245-13.5964866092447
1991.491.32262731723430.0773726827656793
2068.479.108768025224-10.7087680252240
2182.686.2996423613068-3.69964236130678
2298.4103.098064485276-4.69806448527572
2371.382.5298409995705-11.2298409995705
2447.657.6898966838288-10.0898966838288
25130.8135.960735125437-5.16073512543691
26113.6122.838088018419-9.23808801841893
27125.7137.417805853768-11.7178058537677
28113.6125.578425867328-11.9784258673285
2997.1106.273918719628-9.17391871962822
30104.4111.319045880889-6.91904588088926
3191.890.00969373657921.79030626342085
3275.177.778088018419-2.67808801841894
3389.285.51910156514763.68089843485243
34110.2102.2642844106677.93571558933307
3578.482.7431000678038-4.34310006780376
3668.457.619212933664310.7807870663358
37122.8135.890051375272-13.0900513752724
38129.7122.4834614498577.21653855014348
39159.1137.15191141595521.9480885840454
40139125.41900998641513.5809900135854
41102.2108.031116862900-5.83111686289982
42113.6113.2359618595100.364038140490366
4381.591.7846383060006-10.2846383060006
4477.479.5707790139903-2.17077901399025
4587.687.3117925607190.288207439281084
46101.2104.074721832388-2.87472183238813
4787.283.98565185272923.21434814727076
4864.958.86176471858976.03823528141027
49133.1136.901899620250-3.8018996202496
50118124.134181036229-6.1341810362289
51135.9138.678406019278-2.77840601927798
52125.7126.963251015888-1.26325101588779
53108106.4519868899971.54801311000334
54128.3111.78105686965616.5189431303445
5584.790.4717047253454-5.77170472534544
5686.478.64826680863217.75173319136786
5792.286.51350533840985.68649466159017
5895.8102.850520382482-7.05052038248228
5992.383.22285748271999.0771425172801
6054.358.0457310701308-3.74573107013079


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.2164299717598870.4328599435197740.783570028240113
180.1045645069535400.2091290139070790.89543549304646
190.05411409389569810.1082281877913960.945885906104302
200.03342474028230490.06684948056460970.966575259717695
210.2590380101757470.5180760203514930.740961989824253
220.1863191098232300.3726382196464590.81368089017677
230.1432378670822940.2864757341645880.856762132917706
240.1008275521301770.2016551042603530.899172447869823
250.0689300990923510.1378601981847020.931069900907649
260.05660507658169640.1132101531633930.943394923418304
270.0607805645067050.121561129013410.939219435493295
280.0651167858638920.1302335717277840.934883214136108
290.04556460938748290.09112921877496590.954435390612517
300.1410479999707870.2820959999415750.858952000029213
310.1170130391814070.2340260783628140.882986960818593
320.2010731275437080.4021462550874160.798926872456292
330.5021992299760080.9956015400479830.497800770023992
340.5846922489362740.8306155021274510.415307751063726
350.7879627071355460.4240745857289080.212037292864454
360.8402349195350310.3195301609299370.159765080464969
370.9577861612557270.08442767748854540.0422138387442727
380.9479514862918780.1040970274162450.0520485137081223
390.968787618373450.06242476325309940.0312123816265497
400.9462245734004440.1075508531991120.0537754265995561
410.8896956244023240.2206087511953530.110304375597676
420.8789289733205360.2421420533589270.121071026679464
430.7875268010254030.4249463979491950.212473198974597


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