Multiple Linear Regression - Estimated Regression Equation
werkl[t] = + 9.4012055941857 -0.472940234830022infl[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9.40120559418570.31923629.44900
infl-0.4729402348300220.129331-3.65680.0005520.000276


Multiple Linear Regression - Regression Statistics
Multiple R0.432851265611944
R-squared0.187360218141862
Adjusted R-squared0.173349187420170
F-TEST (value)13.3723365442193
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.000551893072794796
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.624574080619395
Sum Squared Residuals22.6253813665306


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.98.50261914800870.397380851991294
298.644501218457670.355498781542334
398.597207194974660.402792805025335
498.455325124525660.544674875474342
598.218855007110650.781144992889353
698.266149030593650.733850969406351
798.313443054076650.686556945923349
898.313443054076650.686556945923349
998.408031101042660.591968898957344
1098.266149030593650.733850969406351
1198.360737077559650.639262922440347
129.18.266149030593650.83385096940635
1398.502619148008660.49738085199134
1498.408031101042660.591968898957344
159.18.408031101042660.691968898957344
1698.408031101042660.591968898957344
1798.455325124525660.544674875474342
1898.408031101042660.591968898957344
1998.360737077559650.639262922440347
208.98.360737077559650.539262922440347
218.98.171560983627640.728439016372356
228.98.218855007110650.681144992889354
238.98.313443054076650.586556945923349
248.88.360737077559650.439262922440347
258.88.266149030593650.533850969406352
268.78.313443054076650.386556945923348
278.78.360737077559650.339262922440346
288.58.218855007110650.281144992889353
298.58.218855007110650.281144992889353
308.48.218855007110650.181144992889354
318.28.26614903059365-0.0661490305936497
328.28.31344305407665-0.113443054076652
338.18.59720719497466-0.497207194974665
348.18.64450121845767-0.544501218457667
3588.50261914800866-0.50261914800866
367.98.50261914800866-0.60261914800866
377.88.54991317149166-0.749913171491662
387.78.54991317149166-0.849913171491662
397.68.50261914800866-0.90261914800866
407.58.50261914800866-1.00261914800866
417.58.50261914800866-1.00261914800866
427.58.50261914800866-1.00261914800866
437.58.54991317149166-1.04991317149166
447.58.59720719497466-1.09720719497466
457.48.40803110104266-1.00803110104266
467.48.17156098362764-0.771560983627644
477.37.93509086621263-0.635090866212634
487.37.93509086621263-0.635090866212634
497.37.88779684272963-0.587796842729631
507.27.84050281924663-0.640502819246629
517.27.69862074879762-0.498620748797622
527.37.84050281924663-0.540502819246629
537.47.65132672531462-0.251326725314619
547.47.50944465486561-0.109444654865613
557.57.50944465486561-0.00944465486561315
567.67.60403270183162-0.0040327018316181
577.77.698620748797620.00137925120237802
587.97.887796842729630.0122031572703693
5988.40803110104266-0.408031101042656
608.28.64450121845767-0.444501218457667


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.0007578995765892950.001515799153178590.99924210042341
65.48154011273894e-050.0001096308022547790.999945184598873
73.65997501458079e-067.31995002916159e-060.999996340024985
82.3021512987223e-074.6043025974446e-070.99999976978487
91.40367935983326e-082.80735871966651e-080.999999985963206
108.23592113884243e-101.64718422776849e-090.999999999176408
114.73273301894511e-119.46546603789021e-110.999999999952673
121.00998494466102e-102.01996988932204e-100.999999999899001
137.98259204079453e-121.59651840815891e-110.999999999992017
146.30363953199072e-131.26072790639814e-120.99999999999937
159.22790855053638e-131.84558171010728e-120.999999999999077
169.73763390151574e-141.94752678030315e-130.999999999999903
171.04334106269684e-142.08668212539367e-140.99999999999999
181.24760415456600e-152.49520830913200e-150.999999999999999
191.7539477491751e-163.5078954983502e-161
205.11781616206576e-161.02356323241315e-151
211.22529335474876e-152.45058670949753e-150.999999999999999
221.54652612553001e-153.09305225106003e-150.999999999999998
232.03165768310201e-154.06331536620402e-150.999999999999998
246.92821281494951e-141.38564256298990e-130.99999999999993
258.40182026105028e-131.68036405221006e-120.99999999999916
269.64661829547985e-111.92932365909597e-100.999999999903534
274.44974039352286e-098.89948078704571e-090.99999999555026
281.51872924364754e-063.03745848729509e-060.999998481270756
297.35501388822122e-050.0001471002777644240.999926449861118
300.002672430764329130.005344861528658260.99732756923567
310.06162983972931410.1232596794586280.938370160270686
320.3083995023398510.6167990046797030.691600497660149
330.724008429418450.5519831411630990.275991570581549
340.8830862676367220.2338274647265560.116913732363278
350.9523939244023250.09521215119535040.0476060755976752
360.9782500033015140.04349999339697150.0217499966984858
370.9869607904345430.02607841913091450.0130392095654573
380.9905840784186380.01883184316272300.00941592158136149
390.9930749859603360.01385002807932800.00692501403966398
400.9948714187526420.01025716249471520.00512858124735758
410.9953948515930160.009210296813967090.00460514840698354
420.9952946261515790.00941074769684230.00470537384842115
430.994604053917650.01079189216469960.00539594608234978
440.9939950863680380.01200982726392340.00600491363196171
450.9965343165303210.006931366939357510.00346568346967876
460.9980514244490780.00389715110184390.00194857555092195
470.998766646680190.002466706639617790.00123335331980889
480.9988765149052090.002246970189582560.00112348509479128
490.9987161055340150.002567788931969170.00128389446598459
500.999190156306970.001619687386058230.000809843693029114
510.9993407451562080.001318509687583050.000659254843791524
520.9998540008225550.0002919983548907910.000145999177445395
530.999797256150650.0004054876987013710.000202743849350686
540.9995630008349860.0008739983300277150.000436999165013857
550.9977369574562450.004526085087509920.00226304254375496


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level390.764705882352941NOK
5% type I error level460.901960784313726NOK
10% type I error level470.92156862745098NOK