Multiple Linear Regression - Estimated Regression Equation
CorrectAnalysis[t] = + 0.26984126984127 + 0.121463077984817T40[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.269841269841270.0581444.64091.3e-056e-06
T400.1214630779848170.1124331.08030.2830920.141546


Multiple Linear Regression - Regression Statistics
Multiple R0.117062063654307
R-squared0.013703526747005
Adjusted R-squared0.00196190206542179
F-TEST (value)1.16708948877398
F-TEST (DF numerator)1
F-TEST (DF denominator)84
p-value0.283092108275713
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.461505807659165
Sum Squared Residuals17.8909592822636


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
100.391304347826087-0.391304347826087
200.26984126984127-0.26984126984127
300.26984126984127-0.26984126984127
400.26984126984127-0.26984126984127
500.26984126984127-0.26984126984127
600.26984126984127-0.26984126984127
700.26984126984127-0.26984126984127
800.391304347826087-0.391304347826087
900.26984126984127-0.26984126984127
1000.26984126984127-0.26984126984127
1100.391304347826087-0.391304347826087
1200.26984126984127-0.26984126984127
1300.26984126984127-0.26984126984127
1400.391304347826087-0.391304347826087
1500.26984126984127-0.26984126984127
1600.391304347826087-0.391304347826087
1710.3913043478260870.608695652173913
1800.391304347826087-0.391304347826087
1900.26984126984127-0.26984126984127
2010.3913043478260870.608695652173913
2110.269841269841270.73015873015873
2210.269841269841270.73015873015873
2310.269841269841270.73015873015873
2410.269841269841270.73015873015873
2500.391304347826087-0.391304347826087
2610.269841269841270.73015873015873
2700.26984126984127-0.26984126984127
2800.26984126984127-0.26984126984127
2900.26984126984127-0.26984126984127
3010.269841269841270.73015873015873
3100.26984126984127-0.26984126984127
3200.26984126984127-0.26984126984127
3310.269841269841270.73015873015873
3400.391304347826087-0.391304347826087
3500.26984126984127-0.26984126984127
3600.26984126984127-0.26984126984127
3710.3913043478260870.608695652173913
3800.26984126984127-0.26984126984127
3910.269841269841270.73015873015873
4010.3913043478260870.608695652173913
4110.269841269841270.73015873015873
4200.26984126984127-0.26984126984127
4310.269841269841270.73015873015873
4400.391304347826087-0.391304347826087
4510.269841269841270.73015873015873
4610.269841269841270.73015873015873
4700.26984126984127-0.26984126984127
4800.26984126984127-0.26984126984127
4910.269841269841270.73015873015873
5000.26984126984127-0.26984126984127
5100.391304347826087-0.391304347826087
5210.3913043478260870.608695652173913
5300.26984126984127-0.26984126984127
5400.26984126984127-0.26984126984127
5500.26984126984127-0.26984126984127
5600.391304347826087-0.391304347826087
5710.269841269841270.73015873015873
5800.26984126984127-0.26984126984127
5900.26984126984127-0.26984126984127
6010.3913043478260870.608695652173913
6100.391304347826087-0.391304347826087
6210.269841269841270.73015873015873
6300.26984126984127-0.26984126984127
6400.391304347826087-0.391304347826087
6500.26984126984127-0.26984126984127
6600.26984126984127-0.26984126984127
6710.3913043478260870.608695652173913
6800.26984126984127-0.26984126984127
6900.26984126984127-0.26984126984127
7000.26984126984127-0.26984126984127
7100.26984126984127-0.26984126984127
7200.26984126984127-0.26984126984127
7300.26984126984127-0.26984126984127
7400.26984126984127-0.26984126984127
7500.26984126984127-0.26984126984127
7610.3913043478260870.608695652173913
7700.26984126984127-0.26984126984127
7810.269841269841270.73015873015873
7900.391304347826087-0.391304347826087
8010.3913043478260870.608695652173913
8100.26984126984127-0.26984126984127
8200.26984126984127-0.26984126984127
8300.26984126984127-0.26984126984127
8400.26984126984127-0.26984126984127
8510.269841269841270.73015873015873
8600.26984126984127-0.26984126984127


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
5001
6001
7001
8001
9001
10001
11001
12001
13001
14001
15001
16001
170.001674378096401440.003348756192802880.998325621903599
180.0009878772935441120.001975754587088220.999012122706456
190.0004610511983104380.0009221023966208760.99953894880169
200.008364846316514290.01672969263302860.991635153683486
210.07352327806899980.1470465561380.926476721931
220.1937015295443220.3874030590886430.806298470455678
230.3259965366851960.6519930733703910.674003463314804
240.445833720462570.891667440925140.55416627953743
250.408976198497840.817952396995680.59102380150216
260.5114277424550550.9771445150898910.488572257544945
270.4673889928463710.9347779856927410.532611007153629
280.4227110001632420.8454220003264840.577288999836758
290.3782973132484120.7565946264968240.621702686751588
300.4768000409629180.9536000819258360.523199959037082
310.4339750246423430.8679500492846870.566024975357657
320.3913176781740860.7826353563481720.608682321825914
330.4855507084342930.9711014168685860.514449291565707
340.4598642339871180.9197284679742370.540135766012882
350.4190030624270410.8380061248540820.580996937572959
360.378501298325030.757002596650060.62149870167497
370.4441555520817590.8883111041635180.555844447918241
380.4024442367039330.8048884734078650.597555763296067
390.4933012844299860.9866025688599720.506698715570014
400.5415788651405310.9168422697189380.458421134859469
410.6277490524199770.7445018951600460.372250947580023
420.5877917284683170.8244165430633660.412208271531683
430.6735571952216280.6528856095567450.326442804778372
440.6611155512623540.6777688974752910.338884448737646
450.7461542556404420.5076914887191150.253845744359558
460.8250736767878110.3498526464243780.174926323212189
470.7960230065998570.4079539868002860.203976993400143
480.7636188263962450.4727623472075090.236381173603755
490.8470977512044120.3058044975911760.152902248795588
500.8184358455802280.3631283088395450.181564154419772
510.8208754141807770.3582491716384450.179124585819223
520.8419971026724610.3160057946550780.158002897327539
530.8112118672280070.3775762655439860.188788132771993
540.7764509504472740.4470980991054520.223549049552726
550.7378132389900170.5243735220199660.262186761009983
560.7445440936354540.5109118127290930.255455906364546
570.8494576322100160.3010847355799690.150542367789984
580.8158349250418540.3683301499162910.184165074958146
590.7773528421040430.4452943157919140.222647157895957
600.7953731185753370.4092537628493270.204626881424663
610.8106990126882380.3786019746235240.189300987311762
620.9163383402151260.1673233195697480.0836616597848742
630.8894669616546440.2210660766907120.110533038345356
640.9277527983742430.1444944032515150.0722472016257574
650.9022202334707210.1955595330585570.0977797665292786
660.8700576482702740.2598847034594520.129942351729726
670.8590446396077380.2819107207845250.140955360392262
680.8160352298687640.3679295402624720.183964770131236
690.7648174209821820.4703651580356360.235182579017818
700.7056619934198740.5886760131602520.294338006580126
710.6395271553577640.7209456892844720.360472844642236
720.5681131739956160.8637736520087680.431886826004384
730.4938160519476490.9876321038952980.506183948052351
740.4195679909983260.8391359819966520.580432009001674
750.3485835164296650.6971670328593310.651416483570335
760.3309043072454530.6618086144909060.669095692754547
770.2636948209830810.5273896419661630.736305179016919
780.4150935260576780.8301870521153560.584906473942322
790.5720489065205780.8559021869588430.427951093479422
800.436176610136650.8723532202732990.56382338986335
810.3027933165371670.6055866330743340.697206683462833


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level150.194805194805195NOK
5% type I error level160.207792207792208NOK
10% type I error level160.207792207792208NOK