Multiple Linear Regression - Estimated Regression Equation
werkl[t] = + 9.30898187654872 + 0.018081433726898infl[t] -0.0354262196972614t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9.308981876548720.1612857.719400
infl0.0180814337268980.0753230.24010.8111510.405576
t-0.03542621969726140.002712-13.064500


Multiple Linear Regression - Regression Statistics
Multiple R0.89249899629478
R-squared0.796554458387191
Adjusted R-squared0.7894160183306
F-TEST (value)111.586628461194
F-TEST (DF numerator)2
F-TEST (DF denominator)57
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.315235831018274
Sum Squared Residuals5.66429686199357


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.99.30791038093262-0.407910380932623
299.26705973111724-0.267059731117243
399.23344165479267-0.233441654792672
499.20343986521348-0.203439865213480
599.17705436237967-0.177054362379668
699.13981999930972-0.139819999309717
799.10258563623977-0.102585636239765
899.0671594165425-0.067159416542504
999.02811691009986-0.0281169100998631
1098.998115120520670.00188487947932885
1198.959072614078030.0409273859219698
129.18.927262681126150.172737318873851
1398.882795744565440.117204255434562
1498.850985811613560.149014188386444
159.18.81555959191630.284440408083705
1698.780133372219030.219866627780966
1798.742899009149080.257100990850918
1898.709280932824510.290719067175489
1998.675662856499940.324337143500061
208.98.640236636802680.259763363197323
218.98.612042990596180.287957009403825
228.98.574808627526220.325191372473776
238.98.535766121083580.364233878916417
248.88.498531758013630.301468241986368
258.88.466721825061750.33327817493825
268.78.42948746199180.2705125380082
278.78.392253098921850.307746901078151
288.58.362251309342660.137748690657344
298.58.32682508964540.173174910354605
308.48.291398869948130.108601130051867
318.28.25416450687818-0.054164506878183
328.28.21693014380823-0.0169301438082319
338.18.17065506387483-0.0706550638748311
348.18.13342070080488-0.0334207008048802
3588.10341891122569-0.103418911225688
367.98.06799269152843-0.167992691528426
377.88.03075832845848-0.230758328458476
387.77.99533210876121-0.295332108761214
397.67.96171403243664-0.361714032436643
407.57.92628781273938-0.426287812739381
417.57.89086159304212-0.390861593042119
427.57.85543537334486-0.355435373344858
437.57.8182010102749-0.318201010274907
447.57.78096664720496-0.280966647204956
457.47.75277300099845-0.352773000998453
467.47.72638749816464-0.326387498164641
477.37.70000199533083-0.400001995330829
487.37.66457577563357-0.364575775633568
497.37.630957699309-0.330957699308996
507.27.59733962298442-0.397339622984424
517.27.56733783340523-0.367337833405232
527.37.5264871835899-0.226487183589902
537.47.4982935373834-0.0982935373833993
547.47.46829174780421-0.0682917478042073
557.57.432865528106950.0671344718930538
567.67.39382302166430.206176978335694
577.77.354780515221660.345219484778336
587.97.312121722033640.587878277966357
5987.256805925236790.743194074763206
608.27.212338988676080.987661011323915


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.0005100784789594770.001020156957918950.99948992152104
70.0001505111015829260.0003010222031658530.999849488898417
82.66622389606095e-055.3324477921219e-050.99997333776104
94.36128812915743e-068.72257625831486e-060.999995638711871
104.71056185983211e-079.42112371966423e-070.999999528943814
115.13396596182943e-081.02679319236589e-070.99999994866034
124.16627613406895e-088.3325522681379e-080.999999958337239
138.50687574708849e-091.70137514941770e-080.999999991493124
141.26366856588611e-092.52733713177223e-090.999999998736331
154.63497506359284e-109.26995012718568e-100.999999999536503
161.08181197321542e-102.16362394643084e-100.999999999891819
171.92097831773501e-113.84195663547003e-110.99999999998079
183.23484864250228e-126.46969728500455e-120.999999999996765
195.48681577793259e-131.09736315558652e-120.999999999999451
203.11520516714971e-126.23041033429941e-120.999999999996885
214.15847588525734e-128.31695177051467e-120.999999999995842
222.28161362734472e-124.56322725468944e-120.999999999997718
231.04408123949083e-122.08816247898167e-120.999999999998956
244.84255620391903e-129.68511240783807e-120.999999999995157
258.71916537782425e-121.74383307556485e-110.99999999999128
269.80546162489402e-111.96109232497880e-100.999999999901945
273.75509250817738e-107.51018501635476e-100.99999999962449
285.17237861502007e-081.03447572300401e-070.999999948276214
298.57566790497002e-071.71513358099400e-060.99999914243321
302.45149225498837e-054.90298450997673e-050.99997548507745
310.001277935416461390.002555870832922780.998722064583539
320.01679832360926520.03359664721853030.983201676390735
330.05472374879711860.1094474975942370.945276251202881
340.1183581370007180.2367162740014350.881641862999282
350.3438872454328380.6877744908656770.656112754567162
360.6913076826750510.6173846346498980.308692317324949
370.9004709796069760.1990580407860480.099529020393024
380.9752888059913370.04942238801732540.0247111940086627
390.9950731600173530.00985367996529460.0049268399826473
400.997817310103530.004365379792940010.00218268989647001
410.9987509586532260.002498082693548450.00124904134677423
420.999156440770560.001687118458881270.000843559229440634
430.999060664485250.001878671029502600.000939335514751298
440.9984634368702790.003073126259442550.00153656312972127
450.9975911837690140.004817632461972030.00240881623098601
460.9989575465308330.002084906938334760.00104245346916738
470.9996748323948550.0006503352102907670.000325167605145383
480.9998868743538130.0002262512923737370.000113125646186868
490.999997224623095.55075381929596e-062.77537690964798e-06
500.9999922104733821.55790532359767e-057.78952661798837e-06
510.9999449775721540.0001100448556925065.5022427846253e-05
520.9996593068796060.00068138624078750.00034069312039375
530.9990583150235560.001883369952887180.000941684976443589
540.993916672543340.01216665491331990.00608332745665995


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level410.836734693877551NOK
5% type I error level440.897959183673469NOK
10% type I error level440.897959183673469NOK