Multiple Linear Regression - Estimated Regression Equation
Ipzb[t] = + 75.7409869117733 + 0.549150534516807Cvn[t] + 17.0989534888664M1[t] + 17.8337099537553M2[t] + 13.5730053380130M3[t] + 9.82430309154084M4[t] + 8.19845267982208M5[t] + 7.83205624092391M6[t] + 16.6573223851026M7[t] + 8.96292831547462M8[t] + 7.83938371132981M9[t] + 15.6769920109720M10[t] -0.989537973133346M11[t] + 0.135546973414980t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)75.74098691177333.20880123.604100
Cvn0.5491505345168070.05486310.009500
M117.09895348886642.5623516.673100
M217.83370995375532.5592476.968300
M313.57300533801302.5625255.29673e-062e-06
M49.824303091540842.5647283.83050.0003860.000193
M58.198452679822082.5565363.20690.0024430.001222
M67.832056240923912.557513.06240.0036620.001831
M716.65732238510262.5551566.519100
M88.962928315474622.5512793.51310.0010050.000503
M97.839383711329812.5446593.08070.0034810.00174
M1015.67699201097202.5407766.170200
M11-0.9895379731333462.540027-0.38960.6986470.349323
t0.1355469734149800.0343943.9410.0002740.000137


Multiple Linear Regression - Regression Statistics
Multiple R0.913511293399156
R-squared0.8345028831678
Adjusted R-squared0.787731958845656
F-TEST (value)17.8423431921081
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value9.15933995315754e-14
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.01570337139246
Sum Squared Residuals741.790184082586


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1115.6113.403887258082.19611274191999
2111.9114.274190696384-2.37419069638375
3107108.776156717764-1.77615671776442
4107.1103.9548702687703.14512973122969
5100.6103.013717364983-2.41371736498335
699.2101.684566830467-2.48456683046652
7108.4110.480634787705-2.08063478770517
8103100.6153554465222.38464455347843
999.899.46261265543670.337387344563305
10115107.3259378215907.67406217840954
1190.890.52037954364170.279620456358269
1295.992.30444513161023.59555486838979
13114.4111.3511423577973.04885764220289
14108.2113.978727506555-5.77872750655469
15112.6110.1281451314862.47185486851421
16109.1107.8878661947211.21213380527934
17105106.122987489158-1.12298748915847
18105107.155184253064-2.15518425306394
19118.5116.9397231724331.56027682756716
20103.7110.753752412512-7.05375241251183
21112.5110.3149053162992.18509468370119
22116.6118.178230482453-1.57823048245260
2396.6102.855378647699-6.25537864769924
24101.9103.321482952827-1.42148295282738
25116.5119.842087720237-3.34208772023697
26119.3120.986966425799-1.68696642579916
27115.4115.763507714438-0.363507714438231
28108.5112.699502975898-4.1995029758979
29111.5110.5502188961740.949781103826055
30108.8109.330898468561-0.53089846856051
31121.8117.7425610516374.0574389483626
32109.6111.556590291716-1.95659029171639
33112.2112.490619531795-0.290619531795379
34119.6121.287500606628-1.68750060662774
35104.1103.6582165269040.441783473096213
36105.3103.4104251371601.88957486283991
37115120.535095492538-5.53509549253816
38124.1119.5932021669364.50679783306351
39116.8115.4680445246091.33195547539082
40107.5110.866418289422-3.36641828942178
41115.6110.748991187414.85100881258998
42116.2110.5181417219275.68185827807318
43116.3119.753530106779-3.45353010677893
44119110.2726561397578.72734386024292
45111.9109.7239789366412.17602106335931
46118.6117.8069643166010.793035683398797
47106.9100.1776802368776.72231976312276
48103.2101.4675103437811.73248965621940
49118.6114.9677871713483.63221282865225
50118.7113.3669132043265.3330867956741
51102.8104.464145911702-1.66414591170238
52100.697.39134227118933.20865772881065
5394.997.1640850622742-2.26408506227422
5494.595.0112087259822-0.51120872598221
55102.9102.983550881446-0.083550881445649
5695.397.4016457094931-2.10164570949313
5792.596.9078835598284-4.40788355982843
58102.7107.901366772728-5.20136677272801
5991.592.688345044878-1.18834504487801
6089.595.2961364346217-5.79613643462172


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.2434814606000320.4869629212000630.756518539399968
180.1163579590178870.2327159180357750.883642040982113
190.07480164055838890.1496032811167780.925198359441611
200.2770436564988030.5540873129976060.722956343501197
210.2798114583674220.5596229167348450.720188541632578
220.327863400315020.655726800630040.67213659968498
230.2671219537931940.5342439075863870.732878046206806
240.1856090303715830.3712180607431650.814390969628417
250.1524208940221750.3048417880443510.847579105977825
260.1668079538256350.3336159076512710.833192046174365
270.1086149124883650.2172298249767290.891385087511635
280.1173381755856360.2346763511712730.882661824414364
290.1003655015558510.2007310031117020.89963449844415
300.07592668832709010.1518533766541800.92407331167291
310.07702870516919760.1540574103383950.922971294830802
320.06863893149282780.1372778629856560.931361068507172
330.04113563905662110.08227127811324230.958864360943379
340.02693971443778010.05387942887556030.97306028556222
350.02973089898432440.05946179796864890.970269101015676
360.01623850982690180.03247701965380360.983761490173098
370.1322157638444060.2644315276888120.867784236155594
380.2346519946695690.4693039893391390.76534800533043
390.16639126381370.33278252762740.8336087361863
400.6081312886652320.7837374226695350.391868711334768
410.5285094932123940.9429810135752120.471490506787606
420.4826538546246420.9653077092492830.517346145375358
430.8974267166180840.2051465667638320.102573283381916


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0370370370370370OK
10% type I error level40.148148148148148NOK