Multiple Linear Regression - Estimated Regression Equation
PSS[t] = + 14.7010144744564 -0.213486826461162G[t] + 0.0485974878790153T[t] -0.0288204218007257`T-G`[t] + 0.696344101971695HPP[t] -0.142272713875854`HPP-G`[t] -0.655973025889067TGYW[t] + 1.06170320950822`TGYW-G`[t] -0.789069557634572POP[t] -0.157775203711889`POP-G`[t] -0.294494920037662IDT[t] -0.584187019346881`IDT-G `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)14.70101447445640.61965923.724400
G-0.2134868264611620.01374-15.537200
T0.04859748787901530.0170172.85580.0060810.00304
`T-G`-0.02882042180072570.01082-2.66360.0101680.005084
HPP0.6963441019716950.1569344.43724.5e-052.3e-05
`HPP-G`-0.1422727138758540.100438-1.41650.1623650.081182
TGYW-0.6559730258890670.145994-4.49323.7e-051.9e-05
`TGYW-G`1.061703209508220.10175810.433600
POP-0.7890695576345720.110111-7.166100
`POP-G`-0.1577752037118890.110529-1.42750.1592060.079603
IDT-0.2944949200376620.134578-2.18830.0329950.016497
`IDT-G `-0.5841870193468810.094525-6.180200


Multiple Linear Regression - Regression Statistics
Multiple R0.99123303097312
R-squared0.98254292169216
Adjusted R-squared0.978986850185008
F-TEST (value)276.300102434920
F-TEST (DF numerator)11
F-TEST (DF denominator)54
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.801797935945067
Sum Squared Residuals34.7155162246316


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11414.7677158202741-0.767715820274149
21818.1543231711774-0.154323171177378
31110.35645779823900.643542201760957
41212.5105751029876-0.51057510298765
51616.2525254710587-0.252525471058658
61818.1181497482876-0.118149748287631
71413.6669498358240.333050164175989
81414.0161554737746-0.0161554737746486
91515.1071676487146-0.107167648714623
101515.0981242929922-0.0981242929921869
111715.29895844387351.70104155612650
121919.5267585726844-0.526758572684439
131011.1194897262880-1.11948972628803
141616.5248198288339-0.524819828833866
151818.3995729748547-0.39957297485472
161413.16658688991480.833413110085201
171413.65931571175850.340684288241517
181717.5978308053984-0.597830805398411
191414.3081472436043-0.308147243604294
201615.41948940998780.580510590012188
211816.91652562176831.08347437823174
221110.54288303318580.457116966814171
231414.5778908631724-0.57789086317241
241211.99222971486830.0077702851316808
251715.72417857344631.27582142655375
2698.994855405413680.00514459458631516
271615.2096613175070.790338682493012
281413.47703936565290.522960634347149
291514.93086496866180.0691350313381611
301112.1460968816386-1.14609688163863
311616.3756472159484-0.375647215948391
321312.92894855907160.0710514409284098
331717.8204294632349-0.820429463234943
341514.88108375565370.118916244346281
351413.54235114540230.4576488545977
361615.38765491221160.612345087788406
37910.2425056170170-1.24250561701704
381515.0214788607490-0.0214788607490249
391716.71509904438890.284900955611112
401313.019002265736-0.0190022657359885
411514.53969548125660.46030451874342
421616.2761703030016-0.276170303001593
431615.1333210015090.866678998491
441212.2194285906646-0.219428590664604
451211.81950857311430.180491426885667
4633.14523108604716-0.145231086047158
4744.34565707400495-0.345657074004954
4846.20001989471674-2.20001989471674
4956.31841452002216-1.31841452002216
5044.04033402058695-0.0403340205869518
5134.07603987631705-1.07603987631705
5234.47411808649622-1.47411808649622
5344.67418624008053-0.674186240080527
5433.74735705978176-0.74735705978176
5543.71663308908250.283366910917499
5643.299030417676770.700969582323229
5743.670354050933840.329645949066157
5832.774381437434930.225618562565073
5932.613710068799860.386289931200144
6032.58894767951040.411052320489598
6133.14973924232481-0.149739242324807
6242.786565733224391.21343426677561
6343.784847455665020.215152544334983
6443.621405661480150.378594338519852
6542.606261642669181.39373835733082
6631.863101158341651.13689884165835


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
151.00489494034282e-452.00978988068565e-451
161.83697553139090e-603.67395106278181e-601
173.49914216649658e-746.99828433299317e-741
182.87745481376475e-885.7549096275295e-881
197.88047576183506e-1021.57609515236701e-1011
204.41833035673249e-1208.83666071346498e-1201
214.89965276183681e-1389.79930552367363e-1381
221.34370497216944e-1462.68740994433888e-1461
234.70916751899335e-1629.4183350379867e-1621
245.54879927060798e-1781.10975985412160e-1771
251.59002359740615e-1963.1800471948123e-1961
261.14650321024298e-2032.29300642048595e-2031
278.15242740362624e-2231.63048548072525e-2221
281.99638093890283e-2353.99276187780566e-2351
291.09407494592744e-2492.18814989185488e-2491
306.03313659772278e-2581.20662731954456e-2571
313.5188664351616e-2887.0377328703232e-2881
327.22277340874178e-2901.44455468174836e-2891
332.32677969909686e-3084.65355939819372e-3081
345.61209167111072e-3201.12241833422214e-3191
35001
36001
37001
38001
39001
40001
41001
42001
43001
44001
4514.02811470584559e-1282.01405735292280e-128
4614.784238973527e-1182.3921194867635e-118
4719.31144006844364e-1004.65572003422182e-100
4812.25907481145191e-881.12953740572596e-88
4911.42351471209035e-757.11757356045177e-76
5011.12677186633582e-605.63385933167909e-61
5111.03964351399275e-445.19821756996373e-45


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level371NOK
5% type I error level371NOK
10% type I error level371NOK