Multiple Linear Regression - Estimated Regression Equation
werklh[t] = + 9.96948812558808 -0.0201393836545193ecogr[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9.969488125588080.99398110.029900
ecogr-0.02013938365451930.009459-2.12910.0375030.018752


Multiple Linear Regression - Regression Statistics
Multiple R0.269240771992664
R-squared0.0724905933032056
Adjusted R-squared0.0564990518084334
F-TEST (value)4.53305851264576
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.0375032893091131
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.687792930496844
Sum Squared Residuals27.4374286840033


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
19.38.019995787830661.28000421216934
29.37.671584450607431.62841554939257
38.77.74811410849460.951885891505398
48.27.877006163883520.322993836116475
58.37.923326746288920.376673253711081
68.58.064302431870550.435697568129445
78.68.038121233119680.56187876688032
88.57.86089465695990.639105343040091
98.27.89915948590350.300840514096503
108.17.993814589079740.106185410920263
117.97.675612327338330.224387672661669
128.68.340211987937470.25978801206253
138.78.042149109850580.657850890149416
148.77.68970989589651.01029010410350
158.57.836727396574490.663272603425514
168.47.778323183976380.62167681602362
178.57.909229177730760.590770822269244
188.77.975689143790670.72431085620933
198.77.941452191577990.758547808422013
208.67.64338931349110.9566106865089
218.57.941452191577990.558547808422013
228.37.756169861956410.543830138043592
2387.661514758780170.338485241219832
248.28.24958476149213-0.0495847614921333
258.17.945480068308890.154519931691109
268.17.657486882049260.442513117950736
2787.623249929836580.376750070163419
287.97.695751710992850.20424828900715
297.97.91527099282711-0.0152709928271111
3087.834713458209030.165286541790966
3187.84881102676720.151188973232802
327.97.576929347431190.323070652568814
3387.832699519843580.167300480156418
347.77.76825349214912-0.0682534921491201
357.27.60915236127842-0.409152361278417
367.58.10659513754505-0.606595137545045
377.37.87096434878717-0.570964348787169
3877.70380746445466-0.703807464454658
3977.50442756627492-0.504427566274916
4077.68769595753104-0.687695957531043
417.27.95554976013615-0.75554976013615
427.37.7400583550328-0.440058355032793
437.17.6977656493583-0.597765649358303
446.87.75818380032186-0.95818380032186
456.47.60713842291297-1.20713842291296
466.17.77228136888002-1.67228136888002
476.57.63533356002929-1.13533356002929
487.78.03610729475423-0.336107294754227
497.97.95957763686705-0.0595776368670538
507.57.61720811474023-0.117208114740225
516.97.6393614367602-0.739361436760196
526.67.96763339032886-1.36763339032886
536.98.07034424696691-1.17034424696691
547.78.13680421302682-0.436804213026824
5588.09249756898688-0.0924975689868818
5687.893117670807140.106882329192860
577.78.07437212369781-0.374372123697814
587.38.12069270610321-0.820692706103209
597.47.90117342426895-0.501173424268948
608.18.30597503572479-0.205975035724787


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.5455281056382870.9089437887234270.454471894361713
60.3810335022046330.7620670044092660.618966497795367
70.2496131922648330.4992263845296650.750386807735167
80.1706576659241000.3413153318482010.8293423340759
90.1455506589757420.2911013179514850.854449341024258
100.1173202312631770.2346404625263540.882679768736823
110.1628909972876710.3257819945753430.837109002712329
120.1069395227947440.2138790455894890.893060477205256
130.0767652256731590.1535304513463180.923234774326841
140.06308999065916290.1261799813183260.936910009340837
150.04436094547958890.08872189095917780.95563905452041
160.03177405639580360.06354811279160720.968225943604196
170.02219604678788290.04439209357576580.977803953212117
180.01831090101364440.03662180202728880.981689098986356
190.01645441018818820.03290882037637650.983545589811812
200.01775810295011400.03551620590022810.982241897049886
210.01522195004785220.03044390009570450.984778049952148
220.01520081441506340.03040162883012680.984799185584937
230.02021306824796490.04042613649592980.979786931752035
240.01820386713086830.03640773426173660.981796132869132
250.01890970681359100.03781941362718200.98109029318641
260.02350941171289630.04701882342579250.976490588287104
270.03196142674005150.0639228534801030.968038573259949
280.04343413732151620.08686827464303230.956565862678484
290.05299971278302850.1059994255660570.947000287216971
300.06274881654718110.1254976330943620.937251183452819
310.07545311128684720.1509062225736940.924546888713153
320.1276697307996820.2553394615993640.872330269200318
330.1734962911894070.3469925823788130.826503708810593
340.2372501093488740.4745002186977490.762749890651126
350.361196828896890.722393657793780.63880317110311
360.4487584995241520.8975169990483040.551241500475848
370.5143347833707880.9713304332584230.485665216629212
380.5982670722313320.8034658555373350.401732927768668
390.6373805675777530.7252388648444940.362619432422247
400.6557795591630650.6884408816738710.344220440836935
410.6741282386577550.6517435226844890.325871761342245
420.6552035496366090.6895929007267830.344796450363391
430.6337370609525780.7325258780948440.366262939047422
440.6431630066803320.7136739866393350.356836993319668
450.6777392932654360.6445214134691270.322260706734564
460.8939506801879670.2120986396240650.106049319812033
470.9147727265716780.1704545468566440.0852272734283222
480.8743392026186790.2513215947626430.125660797381321
490.8456459602310830.3087080795378340.154354039768917
500.8172320424286980.3655359151426040.182767957571302
510.7373394617000330.5253210765999330.262660538299967
520.8769323481862340.2461353036275330.123067651813766
530.9571348447095290.08573031058094270.0428651552904713
540.90270646090650.1945870781869990.0972935390934994
550.8193816715588830.3612366568822340.180618328441117


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level100.196078431372549NOK
10% type I error level150.294117647058824NOK