Multiple Linear Regression - Estimated Regression Equation
SWS[t] = -168.238334738895 -0.105212324281577Wb[t] -11.3714898112225D[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-168.238334738895111.19493-1.5130.1356170.067809
Wb-0.1052123242815770.06038-1.74250.0866290.043314
D-11.371489811222537.669184-0.30190.7638070.381903


Multiple Linear Regression - Regression Statistics
Multiple R0.231053588405355
R-squared0.0533857607149912
Adjusted R-squared0.0212971424341436
F-TEST (value)1.66369770888062
F-TEST (DF numerator)2
F-TEST (DF denominator)59
p-value0.198200375520522
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation420.224485599023
Sum Squared Residuals10418728.4795209


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1-999-902.435609942174-96.5643900578265
26.3-202.458016496845208.758016496845
3-999-179.966494329433-819.033505670567
4-999-202.449599510902-796.550400489098
52.1-481.700083928961483.800083928961
69.1-214.834284004956223.934284004956
715.8-179.611928796604195.411928796604
85.2-230.558265868838235.758265868838
910.9-179.957025220247190.857025220247
108.3-185.097699384645193.397699384645
1111-213.769535283227224.769535283227
123.2-274.019514585941277.219514585941
137.6-191.039181139695198.639181139695
14-999-244.781009668091-754.218990331909
156.3-179.618241536060185.918241536060
168.6-191.296951334185199.896951334185
176.6-191.064432097523197.664432097523
189.5-191.002356826197200.502356826197
194.8-179.758173927355184.558173927355
2012-185.922564007013197.922564007013
21-999-280.753103339962-718.246896660038
223.3-228.005956684637231.305956684637
2311-190.993939840254201.993939840254
24-999-201.388775676404-797.611224323596
254.7-188.552872114052193.252872114052
26-999-183.432188291268-815.567811708732
2710.4-202.363325404991212.763325404991
287.4-213.833714801038221.233714801038
292.1-279.911404745709282.011404745710
30-999-190.131056978276-808.868943021724
31-999-217.406725333641-781.593274666359
327.7-213.725346107028221.425346107028
3317.9-179.610876673361197.510876673361
346.1-186.132988655576192.232988655576
358.2-179.622450029032187.822450029032
368.4-202.494840810343210.894840810343
3711.9-202.354908419049214.254908419049
3810.8-202.358064788777213.158064788777
3913.8-179.788685501397193.588685501397
4014.3-179.978067685103194.278067685103
41-999-251.398864865402-747.601135134598
4215.2-191.031816276996206.231816276996
4310-214.776417226601224.776417226601
4411.9-191.151758326677203.051758326677
456.5-233.925060245848240.425060245848
467.5-225.358814605712232.858814605712
47-999-191.432675232509-807.567324767491
4810.6-202.382263623362212.982263623362
497.4-180.055924805072187.455924805072
508.4-191.696758166455200.096758166455
515.7-191.060223604552196.760223604552
524.9-202.731568539977207.631568539977
53-999-226.656082564104-772.343917435896
543.2-230.935067792636234.135067792636
55-999-191.128611615335-807.871388384665
568.1-190.987627100797199.087627100797
5711-191.076005453194202.076005453194
584.9-202.563228821126207.463228821126
5913.2-190.991835593769204.191835593769
609.7-214.165133622525223.865133622525
6112.8-179.978067685103192.778067685103
62-999-180.035934463458-818.964065536542


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.7111452300959770.5777095398080470.288854769904023
70.8966048691581220.2067902616837550.103395130841878
80.8284957671107670.3430084657784650.171504232889233
90.8305626699235950.3388746601528110.169437330076405
100.7969649428070640.4060701143858710.203035057192936
110.7142138182803040.5715723634393920.285786181719696
120.6601646519360770.6796706961278470.339835348063923
130.586942103266770.826115793466460.41305789673323
140.8131893179064640.3736213641870720.186810682093536
150.7595780946288250.480843810742350.240421905371175
160.6980832168551450.603833566289710.301916783144855
170.6299789742139360.7400420515721290.370021025786064
180.5582599872659060.8834800254681880.441740012734094
190.4837045360930000.9674090721859990.516295463907001
200.4172348192228960.8344696384457910.582765180777104
210.4916752237076530.9833504474153050.508324776292347
220.4449937062750440.8899874125500890.555006293724956
230.3784248748510320.7568497497020650.621575125148968
240.5646509564145230.8706980871709540.435349043585477
250.5035849769144410.9928300461711180.496415023085559
260.6858011571394630.6283976857210740.314198842860537
270.6314503615038040.7370992769923930.368549638496196
280.5746948151397030.8506103697205940.425305184860297
290.6264888280857710.7470223438284580.373511171914229
300.7463673479015980.5072653041968040.253632652098402
310.8698283485003970.2603433029992060.130171651499603
320.8340934067592530.3318131864814940.165906593240747
330.793413986512280.4131720269754410.206586013487721
340.7545152733459440.4909694533081120.245484726654056
350.702237175691350.5955256486173010.297762824308651
360.6443478041208630.7113043917582730.355652195879137
370.5828398562219360.8343202875561270.417160143778064
380.5187772752690580.9624454494618840.481222724730942
390.4555867210972070.9111734421944140.544413278902793
400.3951067806613860.7902135613227730.604893219338614
410.5097246181728460.9805507636543070.490275381827154
420.4484197793054980.8968395586109960.551580220694502
430.3856126434926320.7712252869852650.614387356507368
440.327757577665680.655515155331360.67224242233432
450.2623900141634560.5247800283269120.737609985836544
460.2112490640616510.4224981281233020.788750935938349
470.3748011886626450.749602377325290.625198811337355
480.3122734559006240.6245469118012470.687726544099376
490.2435958061155190.4871916122310370.756404193884481
500.1875752045879850.375150409175970.812424795412015
510.1417377816699310.2834755633398620.85826221833007
520.1058226335339530.2116452670679060.894177366466047
530.3116561078104930.6233122156209870.688343892189507
540.2540864613962320.5081729227924650.745913538603768
550.639928122093350.72014375581330.36007187790665
560.4716333714302620.9432667428605250.528366628569738


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