Multiple Linear Regression - Estimated Regression Equation
Consvertr[t] = -0.872484218315952 + 0.00413803755490541Aand[t] + 0.437427745519679Y1[t] -0.0161778421047462Y2[t] -0.0110721431993476Y3[t] + 0.00787373937551976Y4[t] -0.101399226156349t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.8724842183159521.951029-0.44720.6566680.328334
Aand0.004138037554905410.0009414.39825.7e-052.9e-05
Y10.4374277455196790.1385623.15690.0027020.001351
Y2-0.01617784210474620.145394-0.11130.9118480.455924
Y3-0.01107214319934760.145564-0.07610.9396720.469836
Y40.007873739375519760.1231820.06390.9492890.474645
t-0.1013992261563490.02836-3.57550.0007870.000393


Multiple Linear Regression - Regression Statistics
Multiple R0.924194193330778
R-squared0.854134906986328
Adjusted R-squared0.836631095824687
F-TEST (value)48.7970819096901
F-TEST (DF numerator)6
F-TEST (DF denominator)50
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.83563052198185
Sum Squared Residuals402.040022859754


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12318.09878669106564.90121330893445
22319.46637593703543.53362406296457
31919.8839707688212-0.88397076882118
41818.3620311708896-0.362031170889643
51918.20230521672120.797694783278835
61918.84877899967850.151221000321536
72219.11932756491042.88067243508955
82320.41736497564602.58263502435396
92020.7669006196644-0.766900619664364
101419.0636108051839-5.06361080518393
111416.5479039610053-2.5479039610053
121416.8510688142358-2.8510688142358
131517.1875396745158-2.18753967451580
141117.5584658030909-6.55846580309088
151715.76694522038141.23305477961861
161618.6279107314581-2.6279107314581
172018.58286874822411.41713125177591
182420.8647317012943.13526829870601
192323.1109242923927-0.110924292392672
202022.8893037796343-2.88930377963433
212121.3861066006207-0.38610660062075
221921.4223980999389-2.42239809993893
232319.49966983793113.50033016206886
242321.68975447483161.31024552516839
252322.21847901960160.78152098039841
262322.50324833144230.49675166855774
272723.13027234778523.86972765221484
282625.03195614319440.968043856805617
291724.8055585458534-7.80555854585345
302421.37240138597902.62759861402103
312624.76419100370411.23580899629589
322424.913431373025-0.91343137302498
332724.72595313358352.27404686641654
342726.43951390660350.560486093396464
352626.0148028016340-0.0148028016340279
362425.1846884423937-1.18468844239366
372322.75721509364570.242784906354258
382322.6506673384130.349332661586988
392423.15382783175220.84617216824784
401722.1194217205673-5.11942172056727
412118.97956412617432.02043587382568
421919.6037161915609-0.603716191560853
432218.13703982931073.86296017068925
442219.08812498618942.91187501381059
451819.7500027184294-1.75000271842936
461617.6158811977398-1.61588119773976
471415.5002447049247-1.50024470492471
481212.6484322674582-0.648432267458164
491411.75489444528592.24510555471415
501612.21665280150113.78334719849893
5189.80053771834596-1.80053771834596
5235.37067713222995-2.37067713222995
5302.57775585359076-2.57775585359076
5451.525484864832803.4745151351672
5513.26141518764749-2.26141518764749
5610.7401312493718680.259868750628132
5731.428771817058171.57122818294183


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.08722176066104570.1744435213220910.912778239338954
110.1250066434938690.2500132869877390.87499335650613
120.08831644712514330.1766328942502870.911683552874857
130.1048942033382860.2097884066765720.895105796661714
140.5558896232190170.8882207535619660.444110376780983
150.651532803588540.6969343928229190.348467196411459
160.6205916869630950.758816626073810.379408313036905
170.6999043088771530.6001913822456940.300095691122847
180.7682851477965660.4634297044068670.231714852203434
190.6959865824446380.6080268351107230.304013417555362
200.6639580782326830.6720838435346340.336041921767317
210.6951879175260520.6096241649478960.304812082473948
220.7291773662304620.5416452675390760.270822633769538
230.8421986565045360.3156026869909280.157801343495464
240.790254073263710.4194918534725790.209745926736290
250.7251472194995110.5497055610009780.274852780500489
260.6525216972686290.6949566054627410.347478302731371
270.7632219674605480.4735560650789030.236778032539452
280.7665002774925330.4669994450149340.233499722507467
290.9678091316168080.06438173676638460.0321908683831923
300.9688739167842510.06225216643149760.0311260832157488
310.953925647886370.09214870422726020.0460743521136301
320.9385687750698460.1228624498603080.0614312249301541
330.92057537118190.1588492576362010.0794246288181007
340.8815110665015820.2369778669968370.118488933498418
350.8285361629277290.3429276741445420.171463837072271
360.7718355518040060.4563288963919880.228164448195994
370.702527067539040.594945864921920.29747293246096
380.614574713352840.770850573294320.38542528664716
390.5179659527595740.9640680944808520.482034047240426
400.7621956169702360.4756087660595280.237804383029764
410.6925719488549670.6148561022900660.307428051145033
420.6865366959317440.6269266081365110.313463304068256
430.6139404443410060.7721191113179880.386059555658994
440.903184900629560.1936301987408800.0968150993704402
450.833687163318320.3326256733633610.166312836681680
460.7185769861413550.5628460277172890.281423013858645
470.8841327447675330.2317345104649350.115867255232467


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 level30.0789473684210526OK