Multiple Linear Regression - Estimated Regression Equation
yt[t] = + 3.45629811619316 + 0.196161753058943x2t[t] -0.0759301670223675x3t[t] -0.113069511933674x4t[t] + 0.0478247101671386x5t[t] + 0.139243237474657x6t[t] -0.0750676981882023x7t[t] + 0.267814648345915`x8t\r`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3.456298116193162.1786671.58640.1185910.059296
x2t0.1961617530589430.1324181.48140.1444270.072214
x3t-0.07593016702236750.13247-0.57320.5689420.284471
x4t-0.1130695119336740.134229-0.84240.4033690.201684
x5t0.04782471016713860.130370.36680.71520.3576
x6t0.1392432374746570.1367311.01840.3131250.156563
x7t-0.07506769818820230.121729-0.61670.5400860.270043
`x8t\r`0.2678146483459150.1502261.78270.0803550.040178


Multiple Linear Regression - Regression Statistics
Multiple R0.364556124942623
R-squared0.132901168233181
Adjusted R-squared0.0183786810186957
F-TEST (value)1.16048098033598
F-TEST (DF numerator)7
F-TEST (DF denominator)53
p-value0.341012012633835
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.82490682301822
Sum Squared Residuals422.94522361295


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
165.974519277552160.0254807224478388
225.49857712841829-3.49857712841829
324.53389069210628-2.53389069210628
424.81601249412711-2.81601249412711
565.766790388999440.233209611000556
656.31348169106502-1.31348169106502
735.17871330610304-2.17871330610304
856.4782217562291-1.4782217562291
916.05817446193647-5.05817446193647
1054.76952595408410.230474045915896
1115.1751802299306-4.1751802299306
1265.278846157874140.721153842125858
1315.21044601781996-4.21044601781996
14104.871420886307615.12857911369239
1563.609194394847072.39080560515293
1695.913544069833963.08645593016604
1764.714724691689291.28527530831071
1824.32657988990027-2.32657988990027
1966.07889527555615-0.0788952755561467
2075.088869873873571.91113012612643
2174.827367058514452.17263294148555
2255.74416285465818-0.744162854658176
23105.025008037214234.97499196278577
24107.312708759512632.68729124048737
2576.46493396030680.535066039693197
2686.155996513569171.84400348643083
2724.57275850318856-2.57275850318856
2866.85408815819095-0.854088158190954
2964.206770063448861.79322993655114
3075.762675260560931.23732473943907
3156.52845046861006-1.52845046861006
3287.367397864872370.632602135127633
3397.564856573895821.43514342610418
3457.65034921413682-2.65034921413682
3514.62896234766838-3.62896234766838
3633.40446460431721-0.404464604317205
3726.68513863815468-4.68513863815468
3896.609537543440572.39046245655943
3915.76050573775431-4.76050573775431
4066.51248979277303-0.512489792773028
4186.935663221390971.06433677860903
4295.850497640248293.14950235975172
43104.611161287018285.38883871298172
4443.601039944667980.398960055332021
4535.83870009993629-2.83870009993629
4676.915185640116420.0848143598835802
4745.0491240358304-1.0491240358304
4874.294877973378982.70512202662102
4955.76697406162425-0.766974061624246
5065.973726868739310.0262731312606854
51106.115711409124573.88428859087543
52106.940082800215963.05991719978404
53107.350275496835582.64972450316442
54105.721202796687054.27879720331295
5555.27545692314765-0.275456923147651
5645.11021751681981-1.11021751681981
57106.205957822981863.79404217701814
5865.425989659415250.574010340584749
5924.78257836992476-2.78257836992476
6047.51887105944073-3.51887105944072
6134.42247477941398-1.42247477941398


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.25142559225020.50285118450040.7485744077498
120.2848255669102680.5696511338205370.715174433089732
130.2500287118387610.5000574236775210.749971288161239
140.7802390279160430.4395219441679150.219760972083957
150.7371917442720820.5256165114558360.262808255727918
160.8854969799691980.2290060400616040.114503020030802
170.8458846768515040.3082306462969930.154115323148496
180.8065424685112670.3869150629774650.193457531488733
190.7368235534163270.5263528931673470.263176446583673
200.7509648986952850.498070202609430.249035101304715
210.7133144940647070.5733710118705860.286685505935293
220.6370503013762140.7258993972475720.362949698623786
230.7488716376373030.5022567247253930.251128362362697
240.7813924600601180.4372150798797650.218607539939882
250.7228434189619770.5543131620760470.277156581038023
260.6767743464995160.6464513070009670.323225653500484
270.6638654552693760.6722690894612480.336134544730624
280.593008249551770.813983500896460.40699175044823
290.5380805691984420.9238388616031160.461919430801558
300.4640151889234570.9280303778469140.535984811076543
310.4026411751635990.8052823503271990.597358824836401
320.3243247432724990.6486494865449970.675675256727502
330.260102233026230.520204466052460.73989776697377
340.250173030574080.500346061148160.74982696942592
350.2634596015239750.5269192030479510.736540398476025
360.2000623636052050.4001247272104090.799937636394795
370.3322673913742270.6645347827484540.667732608625773
380.29101421577130.58202843154260.7089857842287
390.498596511404720.997193022809440.50140348859528
400.4328508436255550.8657016872511090.567149156374445
410.349999352036670.6999987040733390.65000064796333
420.3319032804008570.6638065608017140.668096719599143
430.4847927641847870.9695855283695750.515207235815213
440.3866391768990890.7732783537981780.613360823100911
450.5788585051778550.842282989644290.421141494822145
460.4612241674518280.9224483349036570.538775832548172
470.3443756811571590.6887513623143190.655624318842841
480.9228899086147880.1542201827704250.0771100913852123
490.854467861172290.291064277655420.14553213882771
500.7173055994220410.5653888011559180.282694400577959


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