Multiple Linear Regression - Estimated Regression Equation
PPS [t] = + 12.3921250945773 -0.270748679771876month[t] -0.70634116694064IDT[t] + 1.62947032666870HPP[t] + 0.354910328804294TGYW[t] -0.456467813010274POP[t] -0.00177826582113193t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)12.39212509457731.7033647.275100
month-0.2707486797718760.130847-2.06920.0429160.021458
IDT-0.706341166940640.150916-4.68041.7e-059e-06
HPP1.629470326668700.15468210.534300
TGYW0.3549103288042940.1490592.3810.0205120.010256
POP-0.4564678130102740.084163-5.42361e-061e-06
t-0.001778265821131930.01024-0.17370.862730.431365


Multiple Linear Regression - Regression Statistics
Multiple R0.969262536820557
R-squared0.939469865283822
Adjusted R-squared0.933314258363533
F-TEST (value)152.620184727401
F-TEST (DF numerator)6
F-TEST (DF denominator)59
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.858338696061553
Sum Squared Residuals43.4679737122422


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11413.58113271732640.418867282673553
21817.64967324665720.35032675334279
31111.8099835229986-0.809983522998559
41212.5145464241181-0.514546424118063
51615.30852695558450.691473044415503
61817.64256018337270.357439816627301
71414.1421614439913-0.142161443991318
81414.3902565321006-0.390256532100552
91515.1963769174260-0.196376917426039
101515.1945986516049-0.194598651604907
111715.90264104339241.09735895660764
121918.33823175538650.661768244613451
131010.6624772459793-0.662477245979273
141615.8938267552610.106173244738981
151817.52499830677650.475001693223466
161414.3760304055315-0.376030405531497
171414.7256829778467-0.72568297784671
181715.99175066685041.00824933314958
191414.5738105764801-0.573810576480059
201616.8062863200623-0.806286320062286
211816.69275703632771.30724296367234
221112.0260698263274-1.02606982632742
231412.83914919298881.16085080701120
241212.3774236234894-0.377423623489448
251717.1523053197609-0.15230531976092
2699.58158778522757-0.581587785227573
271615.51927846145000.480721538550041
281414.1048178617475-0.104817861747547
291514.80938076286710.190619237132945
301111.761970345828-0.761970345827996
311615.51216539816540.487834601834569
321312.71810782572470.281892174275312
331716.21495003346380.785049966536193
341515.1519202718977-0.151920271897741
351414.3422433549300-0.34224335492999
361615.50327406905980.496725930940229
3799.56202686119512-0.562026861195122
381515.1448072086132-0.144807208613213
391717.1274095982651-0.127409598265073
401312.9537550530860.0462449469140015
411515.0379149269438-0.0379149269438382
421615.49260447413300.50739552586702
431616.6638287219703-0.663828721970272
441212.2403008228608-0.240300822860831
45910.2127708889583-1.21277088895826
46910.0403026702017-1.04030267020174
4799.67727967161133-0.677279671611325
4897.69112075031721.3088792496828
4997.073877009627411.92612299037259
5098.059002485151730.94099751484827
5199.21021930464857-0.210219304648574
5298.846816666983590.153183333016414
5397.692043315844481.30795668415552
54910.4660164189705-1.46601641897046
55911.4715289619098-2.4715289619098
5699.66127527922114-0.661275279221137
5798.848118871585440.151881128414563
58910.0091495857152-1.00914958571522
5999.83146608128863-0.831466081288628
6099.20402880689132-0.204028806891325
6199.8377234442793-0.837723444279302
6298.663322303874320.336677696125681
6397.048601649056991.95139835094301
6497.848387630417491.15161236958251
65109.019611878254780.98038812174522
6698.831734840120680.168265159879323


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
102.23555812186174e-444.47111624372348e-441
114.47790237082169e-588.95580474164339e-581
123.0499038762679e-756.0998077525358e-751
134.7677465048904e-899.5354930097808e-891
143.93006927604231e-997.86013855208463e-991
152.4165064060499e-1164.8330128120998e-1161
161.49022240743841e-1372.98044481487683e-1371
173.32596700316405e-1496.65193400632811e-1491
182.14530841516274e-1564.29061683032548e-1561
195.31649407712595e-1691.06329881542519e-1681
201.94069458587455e-1923.8813891717491e-1921
211.36095795534226e-1962.72191591068452e-1961
221.43060233052763e-2152.86120466105526e-2151
239.8250490713808e-2271.96500981427616e-2261
243.43755544875911e-2416.87511089751822e-2411
256.44840196030785e-2611.28968039206157e-2601
263.97071512523399e-2747.94143025046798e-2741
271.31979347360163e-2962.63958694720326e-2961
281.38796741928943e-2942.77593483857887e-2941
293.82009581101868e-3187.64019162203737e-3181
301.37926330086917e-3182.75852660173835e-3181
31001
32001
33001
34001
35001
36001
37001
38001
39001
40001
41001
42001
43001
44001
450.908442985675080.1831140286498390.0915570143249194
460.8739880303814750.2520239392370490.126011969618525
470.8804813758056960.2390372483886080.119518624194304
480.9866119777136730.02677604457265480.0133880222863274
490.9983804935470570.003239012905886870.00161950645294344
500.9962841180892290.007431763821542980.00371588191077149
510.9909346809754490.01813063804910270.00906531902455137
520.9823027347921220.03539453041575590.0176972652078779
530.9844509519751750.03109809604964960.0155490480248248
540.9981293876984340.003741224603131940.00187061230156597
550.9987094725151050.002581054969790020.00129052748489501
560.9915492051924760.01690158961504750.00845079480752377


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level390.829787234042553NOK
5% type I error level440.936170212765957NOK
10% type I error level440.936170212765957NOK