Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 59.5264480874317 -6.82688172043011X[t] -0.332459016393442t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)59.52644808743171.37403643.322300
X-6.826881720430112.426145-2.81390.0066720.003336
t-0.3324590163934420.068889-4.8261.1e-055e-06


Multiple Linear Regression - Regression Statistics
Multiple R0.889129937195268
R-squared0.790552045216862
Adjusted R-squared0.783329701948478
F-TEST (value)109.459217852122
F-TEST (DF numerator)2
F-TEST (DF denominator)58
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.73656273647105
Sum Squared Residuals1301.23154027851


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
156.659.1939890710383-2.59398907103832
25658.8615300546448-2.86153005464482
354.858.5290710382514-3.72907103825137
452.758.1966120218579-5.49661202185791
550.957.8641530054645-6.96415300546448
650.657.531693989071-6.93169398907103
752.157.1992349726776-5.09923497267759
853.356.8667759562841-3.56677595628415
953.956.5343169398907-2.63431693989071
1054.356.2018579234973-1.90185792349727
1154.255.8693989071038-1.66939890710382
1254.255.5369398907104-1.33693989071037
1353.555.204480874317-1.70448087431694
1451.454.8720218579235-3.47202185792349
1550.554.5395628415300-4.03956284153005
1650.354.2071038251366-3.90710382513661
1749.853.8746448087432-4.07464480874317
1850.753.5421857923497-2.84218579234972
1952.853.2097267759563-0.409726775956284
2055.352.87726775956282.42273224043716
2157.352.54480874316944.7551912568306
2257.552.2123497267765.28765027322405
2356.851.87989071038254.92010928961749
2456.451.54743169398914.85256830601093
2556.351.21497267759565.08502732240437
2656.450.88251366120225.51748633879781
275750.55005464480876.44994535519126
2857.950.21759562841537.6824043715847
2958.949.88513661202199.01486338797814
3058.849.55267759562849.24732240437158
3156.542.393336858804914.1066631411951
3251.942.06087784241149.83912215758858
3347.441.7284188260185.67158117398202
3444.941.39595980962453.50404019037546
3543.941.06350079323112.83649920676891
3643.440.73104177683762.66895822316235
3742.940.39858276044422.50141723955579
3842.640.06612374405082.53387625594924
3942.239.73366472765732.46633527234268
4041.239.40120571126391.79879428873612
4140.239.06874669487041.13125330512957
4239.338.7362876784770.563712321523002
4338.538.40382866208360.0961713379164476
4438.338.07136964569010.228630354309887
4537.937.73891062929670.161089370703331
4637.637.40645161290320.193548387096776
4737.337.07399259650980.226007403490214
483636.7415335801163-0.74153358011634
4934.536.4090745637229-1.90907456372290
5033.536.0766155473295-2.57661554732946
5132.935.744156530936-2.84415653093601
5232.935.4116975145426-2.51169751454257
5332.835.0792384981491-2.27923849814913
5431.934.7467794817557-2.84677948175569
5530.534.4143204653622-3.91432046536224
5629.234.0818614489688-4.8818614489688
5728.733.7494024325754-5.04940243257536
5828.433.4169434161819-5.01694341618192
592833.0844843997885-5.08448439978848
6027.432.7520253833950-5.35202538339503
6126.932.4195663670016-5.51956636700159


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.003770960229391690.007541920458783370.996229039770608
70.01384522184937120.02769044369874240.986154778150629
80.02619889860778320.05239779721556650.973801101392217
90.0289036270413480.0578072540826960.971096372958652
100.02493236563314310.04986473126628620.975067634366857
110.01670795354867920.03341590709735840.98329204645132
120.01010896942408950.02021793884817900.98989103057591
130.005404604170686570.01080920834137310.994595395829313
140.004349260656138390.008698521312276780.995650739343862
150.005086737065853060.01017347413170610.994913262934147
160.006840552197267580.01368110439453520.993159447802732
170.01462553970834630.02925107941669260.985374460291654
180.03513900097419410.07027800194838820.964860999025806
190.1072049509317570.2144099018635140.892795049068243
200.3572396959611250.714479391922250.642760304038875
210.6881638652875690.6236722694248630.311836134712431
220.8315713250608380.3368573498783240.168428674939162
230.8825658161549240.2348683676901520.117434183845076
240.9103616360127440.1792767279745110.0896383639872557
250.929344679619540.1413106407609190.0706553203804593
260.9429521904387960.1140956191224080.0570478095612038
270.9485483968508190.1029032062983620.0514516031491811
280.946641308940650.1067173821186990.0533586910593494
290.9407421342867330.1185157314265340.0592578657132672
300.9261111618928180.1477776762143650.0738888381071825
310.9999438472600430.0001123054799131665.61527399565828e-05
320.9999999999562888.74234017493661e-114.37117008746830e-11
330.9999999999993571.28592547458165e-126.42962737290823e-13
340.9999999999995938.13360907797723e-134.06680453898861e-13
350.999999999999725.58146056209201e-132.79073028104601e-13
360.9999999999996167.67643050327044e-133.83821525163522e-13
370.9999999999991661.66772828386272e-128.33864141931358e-13
380.9999999999972585.48321706618679e-122.74160853309340e-12
390.9999999999920861.58281732782637e-117.91408663913185e-12
400.9999999999731945.36121284965216e-112.68060642482608e-11
410.9999999999173611.65277732924871e-108.26388664624354e-11
420.9999999998081533.83694812259176e-101.91847406129588e-10
430.999999999689756.20497878330422e-103.10248939165211e-10
440.9999999988630292.27394251997572e-091.13697125998786e-09
450.999999994791871.04162583974537e-085.20812919872685e-09
460.999999980694633.86107393863849e-081.93053696931924e-08
470.9999999811855733.76288546090544e-081.88144273045272e-08
480.9999999533244169.33511676786104e-084.66755838393052e-08
490.9999997304138435.39172314394677e-072.69586157197338e-07
500.9999988993452382.20130952438051e-061.10065476219025e-06
510.9999959431938818.1136122375806e-064.0568061187903e-06
520.9999712702391415.7459521717566e-052.8729760858783e-05
530.9999204028520880.0001591942958247947.95971479123969e-05
540.999946716576120.0001065668477582785.32834238791391e-05
550.9999812932689233.74134621533131e-051.87067310766566e-05


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level270.54NOK
5% type I error level350.7NOK
10% type I error level380.76NOK