Multiple Linear Regression - Estimated Regression Equation
Ipzb[t] = + 92.7883118554799 + 0.466768869596956Cvn[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)92.78831185547992.96556331.288600
Cvn0.4667688695969560.0858515.4371e-061e-06


Multiple Linear Regression - Regression Statistics
Multiple R0.581036051386542
R-squared0.337602893010864
Adjusted R-squared0.326182253235189
F-TEST (value)29.5607688922942
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value1.13073368412930e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation7.15468539341114
Sum Squared Residuals2968.99233856406


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1115.6110.1521138044875.44788619551324
2111.9110.1521138044871.74788619551332
3107108.985191630494-1.98519163049429
4107.1107.958300117381-0.858300117380993
5100.6108.425068986978-7.82506898697795
699.2107.491531247784-8.29153124778403
7108.4107.3515005869051.04849941309506
8103105.391071334598-2.39107133459773
999.8105.251040673719-5.45104067371865
10115105.1576868997999.84231310020075
1190.8104.924302465001-14.1243024650008
1295.9105.484425108517-9.58442510851711
13114.4107.0247623781877.37523762181293
14108.2108.518422760897-0.318422760897333
15112.6108.7518071956963.84819280430418
16109.1109.918729369688-0.81872936968821
17105109.685344934890-4.68534493488973
18105110.758913334963-5.75891333496272
19118.5111.4590666393587.04093336064184
20103.7112.625988813351-8.92598881335054
21112.5113.092757682948-0.592757682947502
22116.6112.9994039090283.60059609097188
2396.6114.026295422141-17.4262954221414
24101.9113.466172778625-11.5661727786251
25116.5112.8593732481493.64062675185097
26119.3113.0927576829486.20724231705249
27115.4112.1592199437543.24078005624642
28108.5112.625988813351-4.12598881335055
29111.5112.065866169834-0.565866169834198
30108.8111.225682204560-2.42568220455968
31121.8110.75891333496311.0410866650373
32109.6111.925835508955-2.32583550895512
33112.2113.559526552544-1.35952655254446
34119.6114.2596798569405.3403201430601
35104.1113.326142117746-9.22614211774598
36105.3112.159219943754-6.8592199437536
37115112.0658661698342.9341338301658
38124.1110.52552890016413.5744710998357
39116.8110.5255289001646.27447109983575
40107.5109.685344934890-2.18534493488973
41115.6110.8522671088824.74773289111788
42116.2110.8522671088825.34773289111789
43116.3111.0856515436815.2143484563194
44119109.4519605000919.54803949990875
45111.9109.8253755957692.07462440423119
46118.6109.9187293696888.68127063031179
47106.9108.985191630494-2.08519163049429
48103.2109.125222291373-5.92522229137337
49118.6105.95119397811412.6488060218859
50118.7103.85073406492814.8492659350722
51102.899.78984489943433.01015510056574
52100.696.84920102097343.75079897902656
5394.997.9227694210464-3.02276942104643
5494.596.289078377457-1.78907837745709
55102.995.44889441218267.45110558781744
5695.397.1292623427316-1.82926234273161
5792.597.5493543253689-5.04935432536887
58102.7100.1165831081522.58341689184788
5991.5101.236828395185-9.73682839518482
6089.5102.497104343097-12.9971043430966


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.1614028606931620.3228057213863240.838597139306838
60.07380666449311930.1476133289862390.92619333550688
70.1290103995750730.2580207991501460.870989600424927
80.1020228102767310.2040456205534610.89797718972327
90.05390310085964620.1078062017192920.946096899140354
100.275411380555630.550822761111260.72458861944437
110.4590474345039210.9180948690078420.540952565496079
120.4364885558538930.8729771117077860.563511444146107
130.5103756356660660.9792487286678670.489624364333934
140.4147159098898770.8294318197797540.585284090110123
150.3496207008647760.6992414017295520.650379299135224
160.2756278283696670.5512556567393340.724372171630333
170.2449921273402940.4899842546805880.755007872659706
180.2340170200946330.4680340401892650.765982979905367
190.2186167033738370.4372334067476740.781383296626163
200.2901992064933770.5803984129867540.709800793506623
210.2243618216074500.4487236432149010.77563817839255
220.1787692855801150.3575385711602310.821230714419885
230.5284531652199470.9430936695601050.471546834780053
240.6280762546410140.7438474907179720.371923745358986
250.5957074601493010.8085850797013970.404292539850699
260.5936016766970450.812796646605910.406398323302955
270.5395506552881270.9208986894237460.460449344711873
280.4947534267408820.9895068534817650.505246573259118
290.4257140326315190.8514280652630380.574285967368481
300.368423345901050.73684669180210.63157665409895
310.4680829375387290.9361658750774570.531917062461271
320.4097146366966740.8194292733933480.590285363303326
330.350254515077650.70050903015530.64974548492235
340.3087733895499360.6175467790998730.691226610450064
350.4063703171603140.8127406343206290.593629682839686
360.4673710906224790.9347421812449580.532628909377521
370.4071403288923110.8142806577846230.592859671107689
380.5440786150666250.911842769866750.455921384933375
390.498632014227670.997264028455340.50136798577233
400.4538000200283390.9076000400566770.546199979971661
410.3889123931057090.7778247862114180.611087606894291
420.3291933338435370.6583866676870730.670806666156463
430.2706894173261390.5413788346522780.729310582673861
440.2778847091033420.5557694182066840.722115290896658
450.210853612227530.421707224455060.78914638777247
460.2133015788300930.4266031576601860.786698421169907
470.1577059446328710.3154118892657430.842294055367129
480.1720455435269140.3440910870538280.827954456473086
490.2373991232417640.4747982464835270.762600876758236
500.8660832360516140.2678335278967710.133916763948386
510.9015567572405940.1968864855188120.098443242759406
520.8531814287241440.2936371425517130.146818571275856
530.7626546695844150.474690660831170.237345330415585
540.6775478910421830.6449042179156340.322452108957817
550.5793596321296820.8412807357406360.420640367870318


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 level00OK