Multiple Linear Regression - Estimated Regression Equation
manwerk[t] = + 43.1129876094284 -0.379210799699017infl[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)43.11298760942842.10717920.4600
infl-0.3792107996990170.020694-18.324700


Multiple Linear Regression - Regression Statistics
Multiple R0.923425815020273
R-squared0.852715235845855
Adjusted R-squared0.850175843360438
F-TEST (value)335.794974878042
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.409023021958564
Sum Squared Residuals9.70339028454272


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
15.76.20440047472313-0.50440047472313
26.15.992042426891680.107957573108319
365.688673787132470.311326212867535
45.95.567326331228780.332673668771223
55.85.502860495279940.297139504720056
65.75.77968437906023-0.0796843790602275
75.65.90103183496392-0.301031834963916
85.45.84035810701207-0.440358107012069
95.45.53319735925587-0.133197359255870
105.55.472523631304020.0274763686959769
115.65.62800005918062-0.0280000591806245
125.75.93136869893984-0.231368698939836
135.95.749347515084310.150652484915694
146.15.44218676732810.657813232671897
1565.138818127568890.86118187243111
165.85.078144399617050.721855600382951
175.85.108481263592970.69151873640703
185.75.229828719496650.470171280503348
195.55.351176175400340.148823824599660
205.35.229828719496650.0701712805033476
215.24.896123215761520.303876784238481
225.24.896123215761520.303876784238481
2355.01747067166521-0.0174706716652073
245.15.16915499154481-0.0691549915448111
255.15.085728615611030.0142713843889721
265.24.896123215761520.303876784238481
274.94.592754576002310.307245423997694
284.84.410733392146780.389266607853223
294.54.425901824134740.0740981758652598
304.54.5548334960324-0.0548334960324018
314.44.69134938392405-0.291349383924053
324.44.50553609207153-0.105536092071531
334.24.31972280021902-0.119722800219015
344.14.38798074416484-0.287980744164836
353.94.39556496015882-0.495564960158820
363.84.52828874005347-0.728288740053473
373.94.62309143997823-0.723091439978228
384.24.37281231217688-0.172812312176877
394.13.876046164571160.223953835428835
403.83.656103900745740.143896099254264
413.63.64093546875777-0.0409354687577725
423.73.84570930059524-0.145709300595244
433.54.14149372436048-0.641493724360478
443.44.09598842839659-0.695988428396594
453.13.82674876061029-0.726748760610294
463.13.76607503265845-0.666075032658447
473.13.70540130470661-0.605401304706606
483.23.92155146053505-0.721551460535048
493.33.93292778452602-0.63292778452602
503.53.59922228079088-0.099222280790881
513.63.12900088916410.470999110835898
523.52.988692893275460.511307106724536
533.32.82184014140790.478159858592102
543.22.939395489314590.260604510685407
553.12.984900785278480.115099214721523
563.22.931811273320610.268188726679385
5732.730829549480140.269170450519864
5832.795295385428970.204704614571031
593.12.962148137296540.137851862703465
603.43.269308885052740.13069111494726


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.09747004907024770.1949400981404950.902529950929752
60.05633828911302370.1126765782260470.943661710886976
70.0441761191910870.0883522383821740.955823880808913
80.07948259892284370.1589651978456870.920517401077156
90.0902927766517150.180585553303430.909707223348285
100.05811639182361220.1162327836472240.941883608176388
110.03134944901275870.06269889802551750.968650550987241
120.01616932696747290.03233865393494590.983830673032527
130.01013703291662750.02027406583325500.989862967083373
140.01701571912285540.03403143824571070.982984280877145
150.01704741105828150.03409482211656310.982952588941719
160.01343824820330070.02687649640660130.9865617517967
170.01148145472900390.02296290945800780.988518545270996
180.009258935458944720.01851787091788940.990741064541055
190.009241816518104850.01848363303620970.990758183481895
200.01721896159190800.03443792318381610.982781038408092
210.03326159254089830.06652318508179670.966738407459102
220.04645047312319950.0929009462463990.9535495268768
230.07812547304416410.1562509460883280.921874526955836
240.0940086461497190.1880172922994380.905991353850281
250.1063248593548150.2126497187096310.893675140645185
260.1369209640745020.2738419281490050.863079035925498
270.1978099173722590.3956198347445190.80219008262774
280.3119404807343220.6238809614686450.688059519265678
290.4287138674982480.8574277349964970.571286132501752
300.5445214960209520.9109570079580950.455478503979048
310.6631611294299690.6736777411400610.336838870570031
320.7512143016219830.4975713967560350.248785698378017
330.8063945788080720.3872108423838570.193605421191928
340.8476883025532290.3046233948935420.152311697446771
350.8770088796722680.2459822406554650.122991120327732
360.911804765962210.176390468075580.08819523403779
370.9267650886279060.1464698227441870.0732349113720936
380.9567680844089350.08646383118213040.0432319155910652
390.9904962966842150.01900740663156950.00950370331578473
400.9954815067948280.00903698641034350.00451849320517175
410.9951969352961170.009606129407766170.00480306470388309
420.9973731692450760.005253661509847630.00262683075492381
430.9974013458306240.005197308338751260.00259865416937563
440.9967271843825690.006545631234862410.00327281561743121
450.9959493311816180.008101337636763810.00405066881838191
460.9948802144623630.01023957107527340.00511978553763672
470.9940143209438560.01197135811228810.00598567905614403
480.9937530659642970.01249386807140620.00624693403570309
490.9964676937121790.007064612575642730.00353230628782136
500.9947376790028520.01052464199429610.00526232099714807
510.995882748065020.008234503869960510.00411725193498025
520.998789632956950.002420734086099250.00121036704304963
530.9998243471121190.0003513057757621880.000175652887881094
540.9992624271284830.001475145743033070.000737572871516535
550.9969906068911340.00601878621773230.00300939310886615


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level120.235294117647059NOK
5% type I error level260.509803921568627NOK
10% type I error level310.607843137254902NOK