Multiple Linear Regression - Estimated Regression Equation
Ipzb[t] = + 83.9746433207604 + 0.449803219171789Cvn[t] + 15.8344486602883M1[t] + 16.6232873000092M2[t] + 12.2457874767055M3[t] + 8.49751985477916M4[t] + 7.08868121505829M5[t] + 6.75848443423008M6[t] + 15.6974411424479M7[t] + 8.15647656299695M8[t] + 7.28570876437425M9[t] + 15.3939763863006M10[t] -1.13501967808283M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)83.97464332076042.78663530.134800
Cvn0.4498032191717890.0557558.067500
M115.83444866028832.9087465.44372e-061e-06
M216.62328730000922.9071075.71821e-060
M312.24578747670552.9065914.21310.0001135.7e-05
M48.497519854779162.909152.9210.0053460.002673
M57.088681215058292.9073712.43820.0185960.009298
M66.758484434230082.9096362.32280.024570.012285
M715.69744114244792.9102785.39382e-061e-06
M88.156476562996952.9097492.80320.0073310.003665
M97.285708764374252.9071392.50610.0157250.007862
M1015.39397638630062.9059755.29743e-062e-06
M11-1.135019678082832.905973-0.39060.6978710.348936


Multiple Linear Regression - Regression Statistics
Multiple R0.882397287601617
R-squared0.77862497316669
Adjusted R-squared0.722103689719887
F-TEST (value)13.7757836638569
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value1.33876243424425e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.59473754725227
Sum Squared Residuals992.245817022102


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1115.6116.541771734239-0.941771734239318
2111.9117.330610373960-5.43061037396014
3107111.828602502727-4.82860250272701
4107.1107.0907677986230.00923220137728752
5100.6106.131732378074-5.53173237807365
699.2104.901929158902-5.70192915890184
7108.4113.705944901368-5.3059449013681
8103104.275806801396-1.27580680139567
999.8103.270098037021-3.47009803702143
10115111.2884050151133.71159498488658
1190.894.534507341144-3.7345073411441
1295.996.209290882233-0.309290882233061
13114.4113.5280901657880.871909834211727
14108.2115.756299106859-7.55629910685888
15112.6111.6037008931410.996299106858876
16109.1108.9799413191440.120058680855773
17105107.346201069837-2.34620106983746
18105108.050551693104-3.05055169310437
19118.5117.6642132300800.835786769920157
20103.7111.247756698558-7.54775669855839
21112.5110.8267921191071.67320788089253
22116.6118.845099097199-2.24509909719948
2396.6103.305670114994-6.70567011499398
24101.9103.900925930071-2.00092593007065
25116.5119.150630405436-2.65063040543564
26119.3120.164370654742-0.864370654742411
27115.4114.8872643930950.512735606904831
28108.5111.588799990341-3.08879999034060
29111.5109.6401974876141.85980251238642
30108.8108.5003549122760.299645087723842
31121.8116.9895084013224.81049159867784
32109.6110.573051869801-0.973051869800714
33112.2111.2765953382790.923404661720744
34119.6120.059567788963-0.459567788963312
35104.1102.6309652862361.4690347137637
36105.3102.6414769163902.65852308361035
37115118.385964932844-3.3859649328436
38124.1117.6904529492986.40954705070242
39116.8113.3129531259943.48704687400608
40107.5108.755039709558-1.25503970955833
41115.6108.4707091177677.12929088223307
42116.2108.1405123369398.05948766306128
43116.3117.304370654742-1.00437065474242
44119108.18909480819010.8109051918098
45111.9107.6781695849054.22183041509506
46118.6115.8763978506662.72360214933432
47106.998.44779534793878.45220465206135
48103.299.7177559917733.48224400822698
49118.6112.4935427616936.10645723830683
50118.7111.2582669151417.44173308485901
51102.8102.967479085043-0.167479085042776
52100.696.38545118233414.21454881766586
5394.996.0111599467084-1.11115994670838
5494.594.1066518987790.393348101221087
55102.9102.2359628124870.664037187512518
5695.396.314289822055-1.01428982205500
5792.595.848344920687-3.3483449206869
58102.7106.430530248058-3.73053024805811
5991.590.9810619096870.518938090313036
6089.593.3305502795336-3.83055027953362


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.1928355383616760.3856710767233520.807164461638324
170.1288770474460120.2577540948920230.871122952553988
180.07260524161386620.1452104832277320.927394758386134
190.05408050108274150.1081610021654830.945919498917259
200.1742503690442080.3485007380884150.825749630955792
210.1489777351006870.2979554702013740.851022264899313
220.1607384616320940.3214769232641890.839261538367906
230.1700190956692230.3400381913384460.829980904330777
240.1148276600407530.2296553200815050.885172339959247
250.08353942554881940.1670788510976390.91646057445118
260.1549994507826010.3099989015652010.8450005492174
270.1176434656218230.2352869312436470.882356534378177
280.1102703962513080.2205407925026150.889729603748692
290.1286212447022810.2572424894045620.871378755297719
300.1416305971445010.2832611942890020.858369402855499
310.1761353333353170.3522706666706330.823864666664683
320.2143415701343700.4286831402687390.78565842986563
330.1593878490891730.3187756981783450.840612150910827
340.1156879076025010.2313758152050020.884312092397499
350.1523623830113970.3047247660227930.847637616988603
360.1121242029139790.2242484058279580.887875797086021
370.2378953222776850.475790644555370.762104677722315
380.3654415908973660.7308831817947320.634558409102634
390.2914977842890260.5829955685780510.708502215710974
400.5661139159304080.8677721681391840.433886084069592
410.5370093236039770.9259813527920470.462990676396023
420.5013382476895610.9973235046208780.498661752310439
430.9711245204004160.05775095919916910.0288754795995845
440.9572632911439310.08547341771213710.0427367088560685


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level20.0689655172413793OK