Multiple Linear Regression - Estimated Regression Equation
IF[t] = + 104.050814851764 + 1.2766372277298t1[t] -2.70702734440879t2[t] + 5.83120838946325t3[t] + 3.17459431388783t4[t] + 1.2728852200125t5[t] -1.14031184634879t6[t] + 6.89281730701038t7[t] -0.416328408204501t8[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)104.0508148517647.62047313.654100
t11.27663722772987.270490.17560.8610820.430541
t2-2.707027344408794.740261-0.57110.5696360.284818
t35.831208389463255.0400121.1570.2509030.125451
t43.174594313887835.1437480.61720.5389640.269482
t51.27288522001255.7518370.22130.8254520.412726
t6-1.140311846348796.151907-0.18540.8534410.426721
t76.892817307010385.9453061.15940.2499340.124967
t8-0.4163284082045015.096044-0.08170.9351030.467551


Multiple Linear Regression - Regression Statistics
Multiple R0.198043535424771
R-squared0.0392212419235427
Adjusted R-squared-0.0619133641897687
F-TEST (value)0.387812277427562
F-TEST (DF numerator)8
F-TEST (DF denominator)76
p-value0.923972268591978
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation39.165703364111
Sum Squared Residuals116580.376320421


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1112.8380813112.4561823802840.381898919716274
2113.1303269116.514672071855-3.384345171855
397.63171117100.404775759028-2.77306458902817
4142.515168793.484619886142249.0305488138578
5164.861161899.248133078851165.6130287211489
6112.485371117.300155771948-4.81478477194752
7150.1989732116.51467207185533.684301128145
8176.719424104.41297798341872.3064460165822
9113.0698623105.5250001697987.54486213020175
10116.528822104.05081485176412.4780071482361
11112.848158798.810721695092614.0374370049074
1212.8125070991.0666206789077-78.2541135889077
13116.4885123100.6272474291315.86126487087
1412.42327815102.311883757189-89.8886056071886
15124.2529363104.01959847651920.2333378234805
16135.1538421106.12889252065829.0249495793417
1753.0001895697.6564860577884-44.6562964977884
1864.2235733107.734364293613-43.5107909936134
19120.431188984.71743205113235.7137568488679
20113.1101721105.0574332003198.05273889968078
21131.1607783104.38123114742126.7795471525792
22105.2147414104.8522552929280.362486107071501
23127.6514314109.43365316533718.2177782346629
24146.357071115.31439138556931.0426796144305
25146.598929493.927550164307152.6713792356929
26109.0969534104.8522552929284.24469810707151
27165.0123233115.2043730424649.8079502575398
2879.59118241110.266309981746-30.6751275717461
29105.5472968113.026412929479-7.47911612947872
30105.3759803103.917121353971.45885894602957
31143.0190405105.00966115053238.0093793494682
32120.0280915113.0337676928726.99432380712808
33108.744243197.097608071476611.6466350285234
34101.5844652110.165483444079-8.58101824407934
35149.9268825114.75438533192335.1724971680775
36149.8160307121.93623077610727.8797999238928
37105.315515798.13451964219427.18099605780582
3812.79436771115.340698423841-102.546330713841
39124.3436333116.5146720718557.828961228145
40123.799451797.205484098310826.5939676016892
41131.6041855121.9287267606739.67545873932743
42109.0062565104.0745272115744.93172928842627
4375.39656986119.823184724251-44.4266148642511
44139.378687113.34007775796726.0386092420329
45124.4242527110.37797890973814.0462737902623
46108.9155595100.2400616786168.6754978213843
47105.305438397.09760807147668.20783022852337
4879.0167685397.41053620405-18.3937676740499
49153.799017110.57396501168643.2250519883141
5075.49734422102.644236133958-27.1468919139579
51112.878391111.650864129751.22752687024983
5282.94936774110.266309981746-27.3169422417461
53157.9130101109.30107979167348.6119303083266
54120.5319633104.05081485176416.4811484482361
5513.50228354100.845004162632-87.3427206226317
56116.921842108.860851388078.06099061193012
57124.1622394110.26630998174613.8959294182539
58149.7958758105.68625707418244.109618725818
59142.0516066104.85225529292937.1993513070715
6090.02852611102.774177624034-12.7456515140341
61160.7471687105.40332733208255.3438413679176
62116.3877379112.8195844372063.56815346279433
63150.1082763113.02641292947937.0818633705213
64139.1569834121.92872676067317.2282566393274
65116.8714549106.10880967911310.7626452208872
66146.6493166102.81797282538943.8313437746105
67120.340492103.50161823820716.8388737617929
6867.76315248115.450716766951-47.6875642869505
69146.7601684109.30107979167337.4590886083266
70112.5156033115.682015255446-3.16641195544599
71139.1166736108.8608513880730.2558222119301
72119.8366202110.6872156901099.14940450989095
7363.95148252107.642787707012-43.6913051870122
7445.7900245298.370493291489-52.5804687714891
7549.11797754111.274873746872-62.1568962068723
7664.02202457104.050814851764-40.0287902817639
7764.17318612110.283886741356-46.1107006213557
7875.22525344107.721364834162-32.4961113941622
7964.3545799794.9743902363824-30.6198102663824
8063.85070815116.170948197377-52.3202400473775
8163.80032097111.907280598415-48.1069596284154
8282.62688977109.066854587902-26.4399648179018
8356.75139491101.76011591556-45.0087210055596
8445.5380886190.6540442784205-45.1159556684205
8563.97163739110.266309981746-46.2946725917461


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.761350764109840.4772984717803210.238649235890161
130.6209131835223860.7581736329552280.379086816477614
140.6458053394249220.7083893211501550.354194660575078
150.6293863381906720.7412273236186560.370613661809328
160.7506455801626110.4987088396747780.249354419837389
170.7394716751926750.521056649614650.260528324807325
180.7946176297831050.410764740433790.205382370216895
190.7693933187463760.4612133625072480.230606681253624
200.6938548528490480.6122902943019030.306145147150952
210.7402954872296330.5194090255407340.259704512770367
220.6636605511068140.6726788977863720.336339448893186
230.6494408211699820.7011183576600350.350559178830018
240.6215137068703840.7569725862592320.378486293129616
250.7512733829562150.4974532340875690.248726617043784
260.6843051924411320.6313896151177360.315694807558868
270.6767857762615470.6464284474769050.323214223738453
280.6241882682218730.7516234635562540.375811731778127
290.622507750465460.7549844990690810.37749224953454
300.5497877939594860.9004244120810290.450212206040514
310.5389516066728160.9220967866543680.461048393327184
320.4719155663334270.9438311326668540.528084433666573
330.4351827612416740.8703655224833480.564817238758326
340.3862768167405250.772553633481050.613723183259475
350.3684616837496490.7369233674992990.63153831625035
360.3474482439799810.6948964879599630.652551756020019
370.2947930823123050.589586164624610.705206917687695
380.704250832599220.5914983348015610.29574916740078
390.6459992072381810.7080015855236380.354000792761819
400.6108398315066230.7783203369867540.389160168493377
410.5516875540208470.8966248919583050.448312445979153
420.5007926485490020.9984147029019970.499207351450998
430.5294484557512780.9411030884974450.470551544248722
440.4894746547082730.9789493094165470.510525345291727
450.4326608721827380.8653217443654750.567339127817262
460.3744790094059160.7489580188118330.625520990594084
470.3448276499892290.6896552999784580.655172350010771
480.2971498871751720.5942997743503440.702850112824828
490.3044633113679030.6089266227358050.695536688632097
500.2685658133310840.5371316266621670.731434186668916
510.2153977566162660.4307955132325320.784602243383734
520.1940181503288730.3880363006577450.805981849671128
530.2180185922900660.4360371845801320.781981407709934
540.195919960781750.39183992156350.80408003921825
550.4462928033651640.8925856067303280.553707196634836
560.3824060872753620.7648121745507240.617593912724638
570.3202762000498670.6405524000997330.679723799950133
580.3903358498553470.7806716997106950.609664150144653
590.3638464372675230.7276928745350460.636153562732477
600.3026607159237340.6053214318474680.697339284076266
610.4071570185595080.8143140371190170.592842981440492
620.3302891913366230.6605783826732470.669710808663377
630.4949189708726780.9898379417453560.505081029127322
640.412683846090420.8253676921808410.58731615390958
650.3781819828794680.7563639657589350.621818017120533
660.5564136906342520.8871726187314960.443586309365748
670.72013439056850.5597312188629990.2798656094315
680.7029865956404330.5940268087191340.297013404359567
690.8519178660964880.2961642678070250.148082133903512
700.9593267372086580.08134652558268450.0406732627913422
710.9717156620642670.05656867587146530.0282843379357326
720.9928451758379870.01430964832402650.00715482416201324
730.9738869130447350.05222617391053050.0261130869552653


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0161290322580645OK
10% type I error level40.064516129032258OK