Multiple Linear Regression - Estimated Regression Equation
PS[t] = + 1.15645851462407 + 0.0122857935458461SWS[t] -0.0300141770836811L[t] + 0.123581304657108Wb[t] -0.0371442998271288Wbr[t] -0.397864863256566Tg[t] + 0.0703055296820856P[t] + 0.0500052380746250S[t] -0.226348203385221D[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.156458514624070.2323674.97692.5e-051.2e-05
SWS0.01228579354584610.0117121.0490.3025610.15128
L-0.03001417708368110.12322-0.24360.8092120.404606
Wb0.1235813046571080.0679131.81970.0787970.039399
Wbr-0.03714429982712880.09297-0.39950.6923330.346166
Tg-0.3978648632565660.103909-3.8290.000610.000305
P0.07030552968208560.0667761.05290.3008150.150408
S0.05000523807462500.0407041.22850.2288020.114401
D-0.2263482033852210.082042-2.75890.0097860.004893


Multiple Linear Regression - Regression Statistics
Multiple R0.871289104188098
R-squared0.759144703076899
Adjusted R-squared0.694916623897405
F-TEST (value)11.8195143428682
F-TEST (DF numerator)8
F-TEST (DF denominator)30
p-value2.01849824188471e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.166277661548531
Sum Squared Residuals0.82944782190144


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
10.3010299960.1198553523821960.181174643617804
20.255272505-0.1441374733495220.399409978349522
3-0.15490196-0.0538181140364022-0.101083845963598
40.5910646070.4085740840480840.182490522951916
50-0.04095892165770150.0409589216577015
60.5563025010.4869660187627160.0693364822372839
70.1461280360.276122101580857-0.129994065580857
80.1760912590.02141118667499370.154680072325006
9-0.15490196-0.120594398861160-0.0343075611388395
100.3222192950.324305773760966-0.00208647876096617
110.6127838570.3224774844921030.290306372507897
120.0791812460.0908704365317088-0.0116891905317088
13-0.301029996-0.134291869693588-0.166738126306412
140.5314789170.4893155135310920.0421634034689079
150.1760912590.313752894119091-0.137661635119091
160.5314789170.2563605065931730.275118410406827
17-0.0969100130.0629675051336751-0.159877518133675
18-0.096910013-0.1711561037730610.0742460907730612
190.3010299960.451732202679979-0.150702206679979
200.2787536010.2052114960200170.0735421049799832
210.1139433520.243017280342579-0.129073928342579
220.7481880270.838656006320343-0.0904679793203433
230.4913616940.4731294715177940.0182322224822059
240.2552725050.1611079756923370.0941645293076634
25-0.045757491-0.0243914682964879-0.0213660227035121
260.2552725050.504286947065726-0.249014442065726
270.2787536010.1473208168500770.131432784149923
28-0.0457574910.096591617803765-0.142349108803765
290.4149733480.2440042551524720.170969092847528
300.3802112420.443468312121362-0.0632570701213618
310.0791812460.191380164444305-0.112198918444305
32-0.045757491-0.00211655031076928-0.0436409406892307
33-0.301029996-0.0905723665780947-0.210457629421905
34-0.22184875-0.108686441632607-0.113162308367393
350.3617278360.2808596346062850.0808682013937153
36-0.301029996-0.146636479279582-0.154393516720418
370.4149733480.3685608854995690.0464124625004313
38-0.22184875-0.152760524702377-0.0690882252976226
390.8195439360.85243951344409-0.0328955774440897


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.7948147619669860.4103704760660290.205185238033014
130.731130476232530.5377390475349410.268869523767470
140.6069164059661790.7861671880676410.393083594033821
150.4687235009961010.9374470019922020.531276499003899
160.9729950532749660.05400989345006840.0270049467250342
170.966329906262220.06734018747555840.0336700937377792
180.9459169654428330.1081660691143350.0540830345571674
190.9303907273117960.1392185453764080.069609272688204
200.9546287203127760.09074255937444860.0453712796872243
210.935088023656480.1298239526870390.0649119763435194
220.8838769027392220.2322461945215560.116123097260778
230.8152274496142880.3695451007714240.184772550385712
240.7048316238162410.5903367523675190.295168376183759
250.59621309164740.8075738167052010.403786908352601
260.7104666671790010.5790666656419970.289533332820999
270.8104664552425630.3790670895148740.189533544757437


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 level30.1875NOK