Multiple Linear Regression - Estimated Regression Equation
post2[t] = + 1.16165971584081 -0.0178836502438678pre[t] + 0.267194458189015post1[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.161659715840810.2814194.12797.5e-053.7e-05
pre-0.01788365024386780.354774-0.05040.9598950.479948
post10.2671944581890150.3683110.72550.4698310.234916


Multiple Linear Regression - Regression Statistics
Multiple R0.0757425561582365
R-squared0.00573693481338361
Adjusted R-squared-0.0137584194059617
F-TEST (value)0.294271894156752
F-TEST (DF numerator)2
F-TEST (DF denominator)102
p-value0.745704279181221
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.67257002707091
Sum Squared Residuals285.344030536509


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
141.410970523785962.58902947621404
201.41097052378596-1.41097052378596
341.428854174029832.57114582597017
401.16165971584081-1.16165971584081
501.41097052378596-1.41097052378596
601.41097052378596-1.41097052378596
701.41097052378596-1.41097052378596
801.42885417402983-1.42885417402983
941.428854174029832.57114582597017
1011.41097052378596-0.410970523785962
1141.161659715840812.83834028415919
1201.42885417402983-1.42885417402983
1321.428854174029830.57114582597017
1401.42885417402983-1.42885417402983
1501.16165971584081-1.16165971584081
1601.41097052378596-1.41097052378596
1711.41097052378596-0.410970523785962
1801.41097052378596-1.41097052378596
1901.42885417402983-1.42885417402983
2021.161659715840810.838340284159186
2121.410970523785960.589029476214038
2211.41097052378596-0.410970523785962
2321.161659715840810.838340284159186
2401.14377606559695-1.14377606559695
2531.410970523785961.58902947621404
2601.14377606559695-1.14377606559695
2701.41097052378596-1.41097052378596
2801.16165971584081-1.16165971584081
2911.16165971584081-0.161659715840814
3001.41097052378596-1.41097052378596
3101.14377606559695-1.14377606559695
3241.410970523785962.58902947621404
3301.16165971584081-1.16165971584081
3411.16165971584081-0.161659715840814
3501.16165971584081-1.16165971584081
3601.41097052378596-1.41097052378596
3741.410970523785962.58902947621404
3811.42885417402983-0.428854174029829
3901.42885417402983-1.42885417402983
4041.410970523785962.58902947621404
4101.41097052378596-1.41097052378596
4241.410970523785962.58902947621404
4301.41097052378596-1.41097052378596
4401.41097052378596-1.41097052378596
4501.16165971584081-1.16165971584081
4641.428854174029832.57114582597017
4701.42885417402983-1.42885417402983
4801.41097052378596-1.41097052378596
4941.410970523785962.58902947621404
5041.161659715840812.83834028415919
5101.42885417402983-1.42885417402983
5211.41097052378596-0.410970523785962
5301.42885417402983-1.42885417402983
5441.161659715840812.83834028415919
5501.42885417402983-1.42885417402983
5621.428854174029830.57114582597017
5701.42885417402983-1.42885417402983
5841.428854174029832.57114582597017
5941.161659715840812.83834028415919
6001.16165971584081-1.16165971584081
6101.42885417402983-1.42885417402983
6241.410970523785962.58902947621404
6301.41097052378596-1.41097052378596
6401.14377606559695-1.14377606559695
6521.161659715840810.838340284159186
6601.42885417402983-1.42885417402983
6701.42885417402983-1.42885417402983
6801.16165971584081-1.16165971584081
6941.410970523785962.58902947621404
7041.410970523785962.58902947621404
7121.428854174029830.57114582597017
7201.42885417402983-1.42885417402983
7301.42885417402983-1.42885417402983
7441.428854174029832.57114582597017
7501.41097052378596-1.41097052378596
7601.14377606559695-1.14377606559695
7711.16165971584081-0.161659715840814
7821.410970523785960.589029476214038
7901.14377606559695-1.14377606559695
8021.410970523785960.589029476214038
8101.16165971584081-1.16165971584081
8241.161659715840812.83834028415919
8341.161659715840812.83834028415919
8401.14377606559695-1.14377606559695
8501.16165971584081-1.16165971584081
8641.161659715840812.83834028415919
8701.14377606559695-1.14377606559695
8841.410970523785962.58902947621404
8921.161659715840810.838340284159186
9021.161659715840810.838340284159186
9101.41097052378596-1.41097052378596
9201.41097052378596-1.41097052378596
9341.410970523785962.58902947621404
9401.42885417402983-1.42885417402983
9501.41097052378596-1.41097052378596
9601.41097052378596-1.41097052378596
9741.410970523785962.58902947621404
9841.410970523785962.58902947621404
9901.16165971584081-1.16165971584081
10001.16165971584081-1.16165971584081
10121.410970523785960.589029476214038
10211.16165971584081-0.161659715840814
10301.16165971584081-1.16165971584081
10421.161659715840810.838340284159186
10511.42885417402983-0.428854174029829


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.7674028715884240.4651942568231520.232597128411576
70.6659364949483390.6681270101033220.334063505051661
80.8031891262892460.3936217474215080.196810873710754
90.7902667927634160.4194664144731670.209733207236584
100.6997847905365170.6004304189269660.300215209463483
110.8180849734473130.3638300531053740.181915026552687
120.8451503649555240.3096992700889520.154849635044476
130.7831915962752280.4336168074495430.216808403724772
140.7802893803829940.4394212392340120.219710619617006
150.7641289783551170.4717420432897660.235871021644883
160.7136279149702360.5727441700595280.286372085029764
170.6418342738663010.7163314522673970.358165726133699
180.5851470516116470.8297058967767050.414852948388352
190.5692809789530470.8614380420939050.430719021046953
200.5033026781623790.9933946436752420.496697321837621
210.4636158340517590.9272316681035170.536384165948241
220.3926990987097740.7853981974195480.607300901290226
230.3316417242423410.6632834484846810.668358275757659
240.2875595778670790.5751191557341570.712440422132921
250.3207196953953380.6414393907906760.679280304604662
260.2767802494802460.5535604989604930.723219750519754
270.2443462629597770.4886925259195550.755653737040223
280.2224341881283850.444868376256770.777565811871615
290.1759270650991760.3518541301983510.824072934900824
300.1526277268419350.3052554536838710.847372273158065
310.1246124430394810.2492248860789620.875387556960519
320.2203633872801350.440726774560270.779636612719865
330.1946620665459750.389324133091950.805337933454025
340.1541416142994820.3082832285989640.845858385700518
350.1330093425399530.2660186850799070.866990657460047
360.1183495622392570.2366991244785140.881650437760743
370.1905900560816430.3811801121632860.809409943918357
380.1553954050057970.3107908100115940.844604594994203
390.1476399692219440.2952799384438880.852360030778056
400.2146947563420870.4293895126841750.785305243657913
410.1995589663929950.399117932785990.800441033607005
420.2691010647601020.5382021295202040.730898935239898
430.2534539899317860.5069079798635720.746546010068214
440.2384063055361710.4768126110723430.761593694463829
450.2112592440678060.4225184881356130.788740755932194
460.2699379172111720.5398758344223450.730062082788828
470.259730102531870.5194602050637390.74026989746813
480.245785710187020.4915714203740410.75421428981298
490.3146678236828430.6293356473656860.685332176317157
500.4231548241002040.8463096482004080.576845175899796
510.4082750456428890.8165500912857790.59172495435711
520.3578651915904190.7157303831808370.642134808409581
530.343181960654390.6863639213087790.65681803934561
540.4449770054801220.8899540109602440.555022994519878
550.4299101971909920.8598203943819850.570089802809008
560.3802870452805770.7605740905611540.619712954719423
570.3675642148054440.7351284296108870.632435785194556
580.4340072272001760.8680144544003510.565992772799825
590.5387403513430250.9225192973139490.461259648656975
600.5071610556367130.9856778887265740.492838944363287
610.493481881040190.986963762080380.50651811895981
620.5612353355516970.8775293288966050.438764664448303
630.5501007002306860.8997985995386280.449899299769314
640.5202713637665970.9594572724668070.479728636233404
650.476689645406550.95337929081310.52331035459345
660.4648233420826290.9296466841652580.535176657917371
670.4598342837679110.9196685675358220.540165716232089
680.4285363624729360.8570727249458730.571463637527064
690.491032071189040.9820641423780810.50896792881096
700.5605304693115180.8789390613769650.439469530688482
710.5029425125111530.9941149749776940.497057487488847
720.5062091904350330.9875816191299340.493790809564967
730.5308183636846070.9383632726307860.469181636315393
740.5615805245142150.876838950971570.438419475485785
750.5524928366979240.8950143266041520.447507163302076
760.5089766251040530.9820467497918940.491023374895947
770.4452757441604030.8905514883208050.554724255839597
780.3845327864533490.7690655729066980.615467213546651
790.3480366679488190.6960733358976390.651963332051181
800.2908585205816170.5817170411632350.709141479418383
810.2669536519556070.5339073039112150.733046348044393
820.3534907041087940.7069814082175870.646509295891206
830.4774580984730750.9549161969461490.522541901526925
840.4456075708952880.8912151417905770.554392429104712
850.4031057931469810.8062115862939630.596894206853019
860.5603907467221780.8792185065556450.439609253277822
870.572108433123990.855783133752020.42789156687601
880.6331377817878750.733724436424250.366862218212125
890.5832538842413010.8334922315173970.416746115758699
900.5429235038291660.9141529923416680.457076496170834
910.5599179779140160.8801640441719680.440082022085984
920.6182636589685080.7634726820629850.381736341031492
930.6551321491019490.6897357017961020.344867850898051
940.5756349136823490.8487301726353020.424365086317651
950.6657097744246560.6685804511506880.334290225575344
960.9125431710561690.1749136578876620.0874568289438309
970.8756311496141040.2487377007717920.124368850385896
980.8955571034300990.2088857931398010.104442896569901
990.8160356513091770.3679286973816470.183964348690823


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 level00OK