Multiple Linear Regression - Estimated Regression Equation
SWS[t] = + 13.3314877028357 -0.00118099576118958L[t] + 3.33203879623901e-06Wb[t] -1.29400146501444e-06Wbr[t] -0.0138038212724133Tg[t] + 1.41477355759408P[t] + 0.224417796700898S[t] -2.79911484965773D[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)13.33148770283571.25647510.610200
L-0.001180995761189580.043509-0.02710.9785040.489252
Wb3.33203879623901e-066e-060.59850.55350.27675
Wbr-1.29400146501444e-063e-06-0.38720.7009880.350494
Tg-0.01380382127241330.006563-2.10340.0429030.021452
P1.414773557594081.027351.37710.1774780.088739
S0.2244177967008980.6436440.34870.7294890.364744
D-2.799114849657731.27563-2.19430.0351450.017572


Multiple Linear Regression - Regression Statistics
Multiple R0.735121557008726
R-squared0.540403703578934
Adjusted R-squared0.445780936668714
F-TEST (value)5.71113825166075
F-TEST (DF numerator)7
F-TEST (DF denominator)34
p-value0.000201404658730864
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.85681421218203
Sum Squared Residuals277.487173059458


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
16.38.81259827810611-2.51259827810611
22.11.336778849542850.763221150457153
39.15.978098753128463.12190124687154
415.811.66567997992874.13432002007128
55.23.783651267970271.41634873202973
610.911.4711426732218-0.571142673221754
78.38.54207402576392-0.242074025763916
8118.54540683325252.45459316674749
93.24.6196019961882-1.4196019961882
106.311.5863673300192-5.28636733001916
118.610.5437300081865-1.94373000818653
126.610.4228808894292-3.82288088942923
139.59.337096203938440.162903796061559
143.35.40863878710834-2.10863878710834
151111.9756352923667-0.975635292366696
164.78.1554672017685-3.45546720176851
1710.411.8304533111139-1.43045331111393
187.48.93086238025928-1.53086238025928
192.13.72788172673247-1.62788172673247
207.79.35771443922992-1.65771443922992
2117.911.45273906560556.44726093439453
226.16.86634882316743-0.766348823167428
2311.910.55116242663441.34883757336558
2410.810.40091146862380.399088531376247
2513.813.41229918771620.387700812283833
2614.311.91988965989442.38011034010558
2715.29.046476140752576.15352385924743
28106.205798210184183.79420178981582
2911.910.52785129503161.37214870496842
306.57.47929857468038-0.979298574680377
317.57.075366522139680.424633477860317
3210.69.105925064626831.49407493537317
337.411.3910852533132-3.99108525331317
348.48.7290145446377-0.329014544637693
355.77.88409676656642-2.18409676656642
364.96.49917496808762-1.59917496808762
373.25.38235119547753-2.18235119547753
38119.953313589246761.04668641075324
394.96.62400776022691-1.72400776022691
4013.211.78583372929481.41416627070516
419.75.47913871679394.2208612832061
4212.813.3961568100430-0.596156810042984


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.9241193036655960.1517613926688080.075880696334404
120.9152953424188580.1694093151622830.0847046575811417
130.8560812892761530.2878374214476940.143918710723847
140.818110613808040.3637787723839210.181889386191960
150.7384236580656060.5231526838687880.261576341934394
160.8444544358016920.3110911283966160.155545564198308
170.8459848500041170.3080302999917650.154015149995882
180.8060560244121640.3878879511756710.193943975587836
190.7824212150624120.4351575698751760.217578784937588
200.7325509090580760.5348981818838490.267449090941924
210.8802175487489070.2395649025021860.119782451251093
220.8325829118791140.3348341762417730.167417088120886
230.7666173713287010.4667652573425970.233382628671299
240.675498108789630.6490037824207410.324501891210371
250.567513894974130.864972210051740.43248610502587
260.4693550668155250.938710133631050.530644933184475
270.8481505630544930.3036988738910140.151849436945507
280.9248804742437290.1502390515125420.0751195257562708
290.8524779237865580.2950441524268850.147522076213442
300.7504412431415760.4991175137168490.249558756858424
310.9163018193861760.1673963612276470.0836981806138235


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