Multiple Linear Regression - Estimated Regression Equation
CorrectAnalysis[t] = + 0.0606060606060606 -0.0106060606060606T40[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.06060606060606060.029142.07980.0405890.020295
T40-0.01060606060606060.060426-0.17550.8610920.430546


Multiple Linear Regression - Regression Statistics
Multiple R0.0191475652634518
R-squared0.000366629255518144
Adjusted R-squared-0.0115337680152494
F-TEST (value)0.0308081526335881
F-TEST (DF numerator)1
F-TEST (DF denominator)84
p-value0.861091508915969
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.236733116700154
Sum Squared Residuals4.70757575757576


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
100.0606060606060606-0.0606060606060606
200.05-0.05
300.0606060606060606-0.0606060606060606
400.0606060606060606-0.0606060606060606
500.0606060606060606-0.0606060606060606
600.05-0.05
700.0606060606060606-0.0606060606060606
800.0606060606060606-0.0606060606060606
900.05-0.05
1000.0606060606060606-0.0606060606060606
1100.05-0.05
1200.0606060606060606-0.0606060606060606
1300.0606060606060606-0.0606060606060606
1400.0606060606060606-0.0606060606060606
1500.0606060606060606-0.0606060606060606
1600.0606060606060606-0.0606060606060606
1700.0606060606060606-0.0606060606060606
1800.0606060606060606-0.0606060606060606
1900.05-0.05
2000.0606060606060606-0.0606060606060606
2100.0606060606060606-0.0606060606060606
2200.05-0.05
2300.0606060606060606-0.0606060606060606
2400.0606060606060606-0.0606060606060606
2500.05-0.05
2600.05-0.05
2700.0606060606060606-0.0606060606060606
2800.05-0.05
2900.0606060606060606-0.0606060606060606
3000.0606060606060606-0.0606060606060606
3100.0606060606060606-0.0606060606060606
3200.0606060606060606-0.0606060606060606
3300.0606060606060606-0.0606060606060606
3400.0606060606060606-0.0606060606060606
3500.0606060606060606-0.0606060606060606
3600.0606060606060606-0.0606060606060606
3700.05-0.05
3800.0606060606060606-0.0606060606060606
3900.0606060606060606-0.0606060606060606
4000.05-0.05
4100.0606060606060606-0.0606060606060606
4200.0606060606060606-0.0606060606060606
4300.0606060606060606-0.0606060606060606
4400.0606060606060606-0.0606060606060606
4500.0606060606060606-0.0606060606060606
4600.0606060606060606-0.0606060606060606
4700.0606060606060606-0.0606060606060606
4800.0606060606060606-0.0606060606060606
4900.0606060606060606-0.0606060606060606
5000.0606060606060606-0.0606060606060606
5100.0606060606060606-0.0606060606060606
5200.05-0.05
5300.05-0.05
5400.0606060606060606-0.0606060606060606
5510.06060606060606060.939393939393939
5600.05-0.05
5700.0606060606060606-0.0606060606060606
5800.0606060606060606-0.0606060606060606
5900.0606060606060606-0.0606060606060606
6000.05-0.05
6100.05-0.05
6200.05-0.05
6300.0606060606060606-0.0606060606060606
6400.0606060606060606-0.0606060606060606
6500.0606060606060606-0.0606060606060606
6610.06060606060606060.939393939393939
6710.06060606060606060.939393939393939
6800.0606060606060606-0.0606060606060606
6900.0606060606060606-0.0606060606060606
7000.0606060606060606-0.0606060606060606
7100.0606060606060606-0.0606060606060606
7200.0606060606060606-0.0606060606060606
7300.0606060606060606-0.0606060606060606
7400.0606060606060606-0.0606060606060606
7500.0606060606060606-0.0606060606060606
7600.05-0.05
7700.0606060606060606-0.0606060606060606
7800.0606060606060606-0.0606060606060606
7910.050.95
8000.05-0.05
8100.0606060606060606-0.0606060606060606
8200.0606060606060606-0.0606060606060606
8300.0606060606060606-0.0606060606060606
8410.06060606060606060.939393939393939
8500.0606060606060606-0.0606060606060606
8600.0606060606060606-0.0606060606060606


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
5001
6001
7001
8001
9001
10001
11001
12001
13001
14001
15001
16001
17001
18001
19001
20001
21001
22001
23001
24001
25001
26001
27001
28001
29001
30001
31001
32001
33001
34001
35001
36001
37001
38001
39001
40001
41001
42001
43001
44001
45001
46001
47001
48001
49001
50001
51001
52001
53001
54001
552.30546905178049e-094.61093810356098e-090.999999997694531
569.75406380728608e-101.95081276145722e-090.999999999024594
573.92431702389016e-107.84863404778032e-100.999999999607568
581.55604630640908e-103.11209261281815e-100.999999999844395
596.08904002170126e-111.21780800434025e-100.99999999993911
602.50371020076559e-115.00742040153118e-110.999999999974963
611.11954366380175e-112.23908732760349e-110.999999999988805
626.11934085445337e-121.22386817089067e-110.999999999993881
632.24479702489422e-124.48959404978845e-120.999999999997755
648.15038290163845e-131.63007658032769e-120.999999999999185
652.93707993916133e-135.87415987832267e-130.999999999999706
663.7749606503465e-067.54992130069301e-060.99999622503935
670.01322412759000690.02644825518001370.986775872409993
680.008367799275414120.01673559855082820.991632200724586
690.005126721425201570.01025344285040310.994873278574798
700.003037621517955190.006075243035910380.996962378482045
710.001738640990789520.003477281981579040.99826135900921
720.0009604324678205560.001920864935641110.999039567532179
730.0005117622525288020.00102352450505760.999488237747471
740.00026308711640520.00052617423281040.999736912883595
750.0001306974960238030.0002613949920476050.999869302503976
760.0001863824448786760.0003727648897573510.999813617555121
778.85717013016456e-050.0001771434026032910.999911428298698
784.09861342401273e-058.19722684802546e-050.99995901386576
790.008194490408648660.01638898081729730.991805509591351
800.003512225427954340.007024450855908670.996487774572046
810.001670738099326060.003341476198652130.998329261900674


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level730.948051948051948NOK
5% type I error level771NOK
10% type I error level771NOK