Multiple Linear Regression - Estimated Regression Equation
SWS[t] = -206.108738872165 -0.000232932176205793bowgth[t] + 0.000184784917571019brwght[t] + 0.782621969799936TS[t] + 0.205789801600120LIFESPAN[t] -0.200024940166107DRAAGTIJD[t] -10.4093369423387PRED[t] -93.0029961022486Exposure[t] + 115.585648380122OverallD[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-206.108738872165110.076253-1.87240.066670.033335
bowgth-0.0002329321762057930.000151-1.54750.1276960.063848
brwght0.0001847849175710190.0001511.22220.2270420.113521
TS0.7826219697999360.1960933.99110.0002030.000102
LIFESPAN0.2057898016001200.198291.03780.3040650.152033
DRAAGTIJD-0.2000249401661070.177845-1.12470.2657780.132889
PRED-10.409336942338790.933213-0.11450.9092960.454648
Exposure-93.002996102248658.258125-1.59640.1163470.058173
OverallD115.585648380122116.1902260.99480.3243550.162178


Multiple Linear Regression - Regression Statistics
Multiple R0.599733851324451
R-squared0.359680692424459
Adjusted R-squared0.263028721469661
F-TEST (value)3.72140049366062
F-TEST (DF numerator)8
F-TEST (DF denominator)53
p-value0.00161974327570036
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation364.6541894185
Sum Squared Residuals7047551.92660455


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1-999-968.52398394278-30.4760160572204
26.316.424616588263-10.1246165882630
3-999-185.838634686241-813.16136531376
4-999-294.022783716410-704.97721628359
52.1-90.286254577713492.3862545777134
69.1-149.482488567655158.582488567655
715.8-181.608587328947197.408587328947
85.2-323.760481119409328.960481119409
910.9-278.468040154102289.368040154101
108.3-152.904615167415161.204615167415
1111-177.821780060988188.821780060988
123.2-222.372692454096225.572692454096
137.6-86.01384669301393.6138466930129
14-999-173.750274890582-825.249725109418
156.3-194.820457740514201.120457740514
168.6-166.421941094802175.021941094802
176.6-179.907797441871186.507797441871
189.5-194.326954006107203.826954006107
194.8-72.437355453711277.2373554537112
201222.4871257047958-10.4871257047958
21-999-998.896748910838-0.103251089161781
223.3-152.948732295017156.248732295017
2311-90.1117545267733101.111754526773
24-999-479.065977865516-519.934022134484
254.7-388.403645881167393.103645881167
26-999-179.409742685593-819.590257314407
2710.43.389234671383117.0107653286169
287.4-79.667944073503787.0679440735037
292.1-201.038150298478203.138150298478
30-999-195.157894285487-803.842105714513
31-999-1022.8996045627023.8996045626970
327.721.5375796331292-13.8375796331292
3317.9-183.423494240606201.323494240606
346.18.97216962641719-2.87216962641719
358.2-407.079401267605415.279401267605
368.4-188.220269310851196.620269310851
3711.913.1965944564489-1.29659445644886
3810.810.43630480653290.363695193467061
3913.8-189.765084257695203.565084257695
4014.3-212.212082820935226.512082820935
41-999-977.9242788216-21.0757211783997
4215.2-191.127494303643206.327494303643
4310-159.811240136512169.811240136512
4411.9-77.03314973975388.9331497397531
456.5-179.749689128334186.249689128334
467.5-139.511127302423147.011127302423
47-999-175.516828929926-823.483171070074
4810.623.8655237867042-13.2655237867042
497.4-186.323592986199193.723592986199
508.4-262.595557887089270.995557887089
515.7-217.889206339597223.589206339597
524.9-113.088583419515117.988583419515
53-999-155.021164738382-843.978835261618
543.2-148.946543846824152.146543846824
55-999-186.558274244974-812.441725755026
568.1109.622507720936-101.522507720936
5711-88.945451056546999.9454510565469
584.9-16.011216411651720.9112164116517
5913.2-188.071910655574201.271910655574
609.7-83.676217934593.3762179345
6112.8-191.439475460568204.239475460568
62-999-999.321157271880.321157271880114


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.8014204557558390.3971590884883220.198579544244161
130.7818657303695610.4362685392608770.218134269630439
140.9592376184478720.08152476310425580.0407623815521279
150.94186102820820.1162779435836020.058138971791801
160.9050810366422360.1898379267155280.0949189633577642
170.8578683368674650.2842633262650710.142131663132535
180.8086681571372020.3826636857255960.191331842862798
190.7854050089721230.4291899820557540.214594991027877
200.7464760689063940.5070478621872120.253523931093606
210.6773122069392570.6453755861214850.322687793060743
220.5941474024505520.8117051950988960.405852597549448
230.5407454250100990.9185091499798030.459254574989901
240.6065987373743780.7868025252512440.393401262625622
250.6279276188836820.7441447622326370.372072381116319
260.8513830290762980.2972339418474040.148616970923702
270.8028520972802690.3942958054394620.197147902719731
280.7382792094546520.5234415810906950.261720790545348
290.6776535918452340.6446928163095320.322346408154766
300.8804276474604930.2391447050790140.119572352539507
310.8573073724950560.2853852550098890.142692627504944
320.803159239803950.3936815203921010.196840760196050
330.7640059316233440.4719881367533130.235994068376657
340.7083427145460490.5833145709079010.291657285453951
350.725989092575810.5480218148483810.274010907424191
360.6598794617599950.680241076480010.340120538240005
370.5865407775722080.8269184448555850.413459222427792
380.5281755055649380.9436489888701250.471824494435062
390.4525927701777710.9051855403555410.54740722982223
400.3792945936865040.7585891873730080.620705406313496
410.292277845705020.584555691410040.70772215429498
420.2561777080729700.5123554161459410.74382229192703
430.1964606495875870.3929212991751750.803539350412413
440.1383632613296710.2767265226593420.861636738670329
450.0896982243551940.1793964487103880.910301775644806
460.3140033896032040.6280067792064070.685996610396796
470.5063910971718370.9872178056563270.493608902828163
480.3861057540172240.7722115080344480.613894245982776
490.2605717626225880.5211435252451760.739428237377412
500.1658034525029050.331606905005810.834196547497095


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 level10.0256410256410256OK