Multiple Linear Regression - Estimated Regression Equation
post4[t] = + 0.176216039817424 + 0.37103557081655pre[t] + 0.0181521643441409post1[t] + 0.157467362960975post2[t] + 0.855941219451257post3[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.1762160398174240.1516881.16170.2481220.124061
pre0.371035570816550.159472.32670.0220.011
post10.01815216434414090.1666080.1090.9134590.45673
post20.1574673629609750.0443933.54710.0005950.000297
post30.8559412194512570.1508425.674400


Multiple Linear Regression - Regression Statistics
Multiple R0.610608370866807
R-squared0.372842582572616
Adjusted R-squared0.347756285875521
F-TEST (value)14.8624002607681
F-TEST (DF numerator)4
F-TEST (DF denominator)100
p-value1.45216749736221e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.749343006286163
Sum Squared Residuals56.1514941069984


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
121.195273226822010.804726773177987
220.5654037749781141.43459622502189
31.51.68017887545672-0.18017887545672
400.176216039817424-0.176216039817424
511.42134499442937-0.421344994429371
621.421344994429370.578655005570629
721.421344994429370.578655005570629
811.05030942361282-0.0503094236128211
921.680178875456720.31982112454328
1020.7228711379390891.27712886206091
1120.8060854916613221.19391450833868
1201.05030942361282-1.05030942361282
1301.36524414953477-1.36524414953477
1420.1943682041615641.80563179583844
1500.176216039817424-0.176216039817424
1621.421344994429370.578655005570629
1720.7228711379390891.27712886206091
180.51.42134499442937-0.921344994429371
1921.050309423612820.949690576387179
2001.34709198519063-1.34709198519063
2121.736279720351320.26372027964868
2200.722871137939089-0.722871137939089
2300.491150765739373-0.491150765739373
2400.547251610633974-0.547251610633974
2521.89374708331230.106252916687705
2601.40319283008523-1.40319283008523
2700.565403774978115-0.565403774978115
2800.176216039817424-0.176216039817424
2920.3336834027783981.6663165972216
3011.42134499442937-0.421344994429371
310.50.547251610633974-0.0472516106339737
3221.195273226822010.804726773177987
330.51.03215725926868-0.53215725926868
3400.333683402778398-0.333683402778398
350.51.03215725926868-0.53215725926868
3600.565403774978115-0.565403774978115
3721.195273226822010.804726773177987
3801.2077767865738-1.2077767865738
3911.05030942361282-0.0503094236128211
4022.05121444627327-0.0512144462732699
4111.42134499442937-0.421344994429371
4222.05121444627327-0.0512144462732699
4300.565403774978115-0.565403774978115
440.51.42134499442937-0.921344994429371
4501.03215725926868-1.03215725926868
4621.680178875456720.31982112454328
4700.194368204161564-0.194368204161564
4810.5654037749781150.434596225021885
4922.05121444627327-0.0512144462732699
500.50.806085491661322-0.306085491661322
5121.050309423612820.949690576387179
5221.578812357390350.421187642609654
5321.050309423612820.949690576387179
5400.806085491661322-0.806085491661322
5500.194368204161564-0.194368204161564
5601.36524414953477-1.36524414953477
570.51.05030942361282-0.550309423612821
5800.824237656005463-0.824237656005463
5920.8060854916613221.19391450833868
6000.176216039817424-0.176216039817424
6101.05030942361282-1.05030942361282
6222.05121444627327-0.0512144462732699
6311.42134499442937-0.421344994429371
6401.40319283008523-1.40319283008523
6521.347091985190630.65290801480937
6610.1943682041615640.805631795838436
6721.050309423612820.949690576387179
6800.176216039817424-0.176216039817424
6912.05121444627327-1.05121444627327
7022.05121444627327-0.0512144462732699
7100.509302930083514-0.509302930083514
7200.194368204161564-0.194368204161564
7300.194368204161564-0.194368204161564
7400.824237656005463-0.824237656005463
7521.421344994429370.578655005570629
7621.403192830085230.59680716991477
7721.189624622229660.810375377770345
7821.736279720351320.26372027964868
7921.403192830085230.59680716991477
8021.736279720351320.26372027964868
8121.032157259268680.96784274073132
8221.662026711112580.337973288887421
8321.662026711112580.337973288887421
8421.403192830085230.59680716991477
8500.176216039817424-0.176216039817424
8621.662026711112580.337973288887421
8700.547251610633974-0.547251610633974
8822.05121444627327-0.0512144462732699
8921.347091985190630.65290801480937
9000.491150765739373-0.491150765739373
9100.565403774978115-0.565403774978115
9221.421344994429370.578655005570629
9301.19527322682201-1.19527322682201
9421.050309423612820.949690576387179
9521.421344994429370.578655005570629
9621.421344994429370.578655005570629
9722.05121444627327-0.0512144462732699
9822.05121444627327-0.0512144462732699
9900.176216039817424-0.176216039817424
10000.176216039817424-0.176216039817424
10100.880338500900064-0.880338500900064
10221.189624622229660.810375377770345
10300.176216039817424-0.176216039817424
10421.347091985190630.65290801480937
10500.351835567122539-0.351835567122539


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.2666390395612960.5332780791225920.733360960438704
90.2029257212015990.4058514424031980.797074278798401
100.1155180750514790.2310361501029590.884481924948521
110.2427805801082340.4855611602164680.757219419891766
120.2707447770088660.5414895540177320.729255222991134
130.4086908337128370.8173816674256730.591309166287163
140.6244631925989290.7510736148021420.375536807401071
150.5688680626383280.8622638747233440.431131937361672
160.5295369308870480.9409261382259030.470463069112952
170.4962586714842650.9925173429685310.503741328515735
180.5630078190460760.8739843619078470.436992180953924
190.700983404008050.59803319198390.29901659599195
200.691872136520420.6162557269591590.30812786347958
210.6323238510970660.7353522978058670.367676148902934
220.8900887780005450.219822443998910.109911221999455
230.873110286446810.2537794271063810.12688971355319
240.8480685943036530.3038628113926930.151931405696347
250.8049756839228820.3900486321542360.195024316077118
260.8149616644597470.3700766710805050.185038335540252
270.8865311031419490.2269377937161020.113468896858051
280.8514565003155460.2970869993689090.148543499684454
290.9603772400476660.07924551990466720.0396227599523336
300.9474443257289520.1051113485420970.0525556742710485
310.9282005948966090.1435988102067820.071799405103391
320.9296364548593250.140727090281350.0703635451406748
330.9227417602034290.1545164795931410.0772582397965705
340.9053959156249590.1892081687500820.0946040843750409
350.8991455292057980.2017089415884030.100854470794202
360.9190022607174150.1619954785651690.0809977392825847
370.9335795032573690.1328409934852620.066420496742631
380.9691064599196670.06178708016066520.0308935400803326
390.9590929552909570.08181408941808660.0409070447090433
400.9443422254652220.1113155490695560.0556577745347781
410.9315363474377270.1369273051245450.0684636525622726
420.9099191731468930.1801616537062130.0900808268531067
430.9170037980966450.1659924038067110.0829962019033553
440.9294613282889210.1410773434221580.0705386717110791
450.963391512638810.07321697472238030.0366084873611902
460.9517566699854580.0964866600290840.048243330014542
470.945547570937960.1089048581240790.0544524290620395
480.947567519116410.1048649617671790.0524324808835896
490.9304848046460770.1390303907078450.0695151953539225
500.9173839990849390.1652320018301230.0826160009150614
510.9318287154601640.1363425690796720.0681712845398361
520.9237137042944020.1525725914111950.0762862957055977
530.9337310268188410.1325379463623170.0662689731811587
540.9357846663481610.1284306673036790.0642153336518394
550.9269284598201150.146143080359770.073071540179885
560.9822505369356690.03549892612866170.0177494630643309
570.9880023887560620.02399522248787610.0119976112439381
580.9904946029428740.01901079411425120.00950539705712562
590.9991036685761210.001792662847757110.000896331423878556
600.998510042746480.002979914507039880.00148995725351994
610.9999922383253111.55233493769765e-057.76167468848824e-06
620.999984977032633.00459347391607e-051.50229673695804e-05
630.9999942471816691.15056366622186e-055.75281833110932e-06
640.9999999999974285.14392344571987e-122.57196172285993e-12
650.9999999999957128.57594141459769e-124.28797070729884e-12
6619.43341683518077e-164.71670841759039e-16
670.9999999999999992.54378892449056e-151.27189446224528e-15
680.9999999999999941.16836965196345e-145.84184825981723e-15
69100
70100
71100
72100
73100
74100
75100
76100
77100
78100
79100
8011.24298240305664e-3146.21491201528321e-315
8111.07102168177956e-3075.35510840889778e-308
8216.73563826939019e-2853.3678191346951e-285
8313.83851552524574e-2661.91925776262287e-266
8412.99931537310256e-2561.49965768655128e-256
8519.82065610173106e-2394.91032805086553e-239
8617.99737956931069e-2183.99868978465535e-218
8715.29197300180872e-2112.64598650090436e-211
8811.07249352108247e-1835.36246760541233e-184
8913.36602293710136e-1691.68301146855068e-169
9014.73011333415953e-1572.36505666707977e-157
9112.77131368775836e-1431.38565684387918e-143
9211.74067938310039e-1288.70339691550195e-129
9311.58762826400813e-1087.93814132004066e-109
9412.50761761938432e-941.25380880969216e-94
9513.26760075400228e-811.63380037700114e-81
9613.02692690488837e-641.51346345244418e-64
9713.23293148034368e-511.61646574017184e-51


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level390.433333333333333NOK
5% type I error level420.466666666666667NOK
10% type I error level470.522222222222222NOK