Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 129.806666666667 -4.99103174603175M1[t] -6.33730158730159M2[t] -6.91690476190476M3[t] -3.69650793650794M4[t] -2.87611111111111M5[t] -1.30571428571429M6[t] + 0.314682539682539M7[t] -0.964920634920632M8[t] -1.44452380952381M9[t] -0.840793650793654M10[t] + 1.17960317460317M11[t] -0.920396825396825t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)129.8066666666676.94422218.692800
M1-4.991031746031758.502817-0.5870.5594530.279726
M2-6.337301587301598.494061-0.74610.4585780.229289
M3-6.916904761904768.48613-0.81510.4183030.209151
M4-3.696507936507948.479028-0.4360.6644580.332229
M5-2.876111111111118.472757-0.33950.7354730.367737
M6-1.305714285714298.467318-0.15420.8779730.438987
M70.3146825396825398.4627130.03720.9704630.485232
M8-0.9649206349206328.458944-0.11410.9095690.454784
M9-1.444523809523818.456011-0.17080.8649430.432472
M10-0.8407936507936548.453915-0.09950.9211130.460557
M111.179603174603178.4526580.13960.8894880.444744
t-0.9203968253968250.084186-10.932900


Multiple Linear Regression - Regression Statistics
Multiple R0.81915668734884
R-squared0.671017678428325
Adjusted R-squared0.604106019803578
F-TEST (value)10.0284119721424
F-TEST (DF numerator)12
F-TEST (DF denominator)59
p-value2.5357738131504e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation14.6397064190342
Sum Squared Residuals12644.9392380952


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1112.8123.895238095238-11.0952380952381
2116.7121.628571428571-4.92857142857143
3119.4120.128571428571-0.728571428571423
4129.8122.4285714285717.37142857142859
5131.9122.3285714285719.57142857142857
6129.8122.9785714285716.82142857142858
7131.6123.6785714285717.92142857142857
8134.3121.47857142857112.8214285714286
9136.7120.07857142857116.6214285714286
10134.7119.76190476190514.9380952380952
11138.1120.86190476190517.2380952380952
12132.4118.76190476190513.6380952380952
13125112.85047619047612.1495238095238
14117.7110.583809523817.11619047619049
15112109.083809523812.91619047619047
16106.3111.38380952381-5.08380952380953
17100.5111.28380952381-10.7838095238095
1895.6111.93380952381-16.3338095238095
1989.5112.63380952381-23.1338095238095
2087.7110.43380952381-22.7338095238095
2188.2109.03380952381-20.8338095238095
2288.7108.717142857143-20.0171428571429
2391.4109.817142857143-18.4171428571429
2495.7107.717142857143-12.0171428571429
2596.8101.805714285714-5.00571428571429
2693.899.5390476190476-5.73904761904763
279198.0390476190476-7.03904761904763
2886.8100.339047619048-13.5390476190476
2991.5100.239047619048-8.73904761904762
3089.3100.889047619048-11.5890476190476
3197.9101.589047619048-3.68904761904761
3295.799.3890476190476-3.68904761904762
3386.997.9890476190476-11.0890476190476
348297.6723809523809-15.6723809523809
3583.298.772380952381-15.5723809523809
3685.796.6723809523809-10.9723809523809
3777.890.7609523809524-12.9609523809524
3879.488.4942857142857-9.09428571428571
3983.486.9942857142857-3.59428571428571
40102.889.294285714285713.5057142857143
41108.789.194285714285719.5057142857143
42120.389.844285714285730.4557142857143
43121.990.544285714285731.3557142857143
44112.788.344285714285724.3557142857143
45113.186.944285714285726.1557142857143
46115.786.62761904761929.072380952381
47113.587.72761904761925.772380952381
48103.185.62761904761917.4723809523809
4995.979.716190476190516.1838095238095
5088.577.449523809523811.0504761904762
5186.275.949523809523810.2504761904762
5283.878.24952380952385.5504761904762
5376.478.1495238095238-1.7495238095238
547678.7995238095238-2.79952380952381
5575.779.4995238095238-3.7995238095238
5671.577.2995238095238-5.79952380952381
5769.775.8995238095238-6.1995238095238
5872.175.5828571428571-3.48285714285714
5972.676.6828571428571-4.08285714285715
6070.274.5828571428571-4.38285714285714
6169.468.67142857142860.728571428571433
626866.40476190476191.59523809523809
6363.164.9047619047619-1.80476190476191
6459.467.2047619047619-7.80476190476191
6559.367.1047619047619-7.80476190476191
6661.267.7547619047619-6.55476190476189
6759.868.4547619047619-8.65476190476191
6861.366.2547619047619-4.95476190476193
6960.264.8547619047619-4.65476190476191
7059.764.5380952380952-4.83809523809524
7160.765.6380952380952-4.93809523809524
7259.863.5380952380952-3.73809523809524


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.3188736220703170.6377472441406330.681126377929683
170.3953466162357210.7906932324714430.604653383764279
180.4134657688831370.8269315377662740.586534231116863
190.4853332938748610.9706665877497220.514666706125139
200.5493949508396410.9012100983207190.450605049160359
210.5832106391585380.8335787216829230.416789360841462
220.5736542593376670.8526914813246660.426345740662333
230.5543144217887550.891371156422490.445685578211245
240.4727829986093910.9455659972187820.527217001390609
250.4590848449452970.9181696898905950.540915155054703
260.4119642650715440.8239285301430880.588035734928456
270.3529238221453290.7058476442906570.647076177854671
280.2990449867752810.5980899735505610.700955013224719
290.2535804832292930.5071609664585850.746419516770707
300.2348352908951790.4696705817903580.765164709104821
310.2382148822250750.476429764450150.761785117774925
320.2195264323111160.4390528646222310.780473567688884
330.2055794227845740.4111588455691470.794420577215426
340.2442750637104920.4885501274209830.755724936289508
350.3312440581977950.6624881163955890.668755941802205
360.4312788089547440.8625576179094880.568721191045256
370.6440468831276880.7119062337446230.355953116872312
380.8477519149644770.3044961700710470.152248085035523
390.9574386985710710.08512260285785720.0425613014289286
400.974918971188790.05016205762241920.0250810288112096
410.9825180441911350.03496391161772920.0174819558088646
420.9951757426060120.009648514787976160.00482425739398808
430.9987846898507850.002430620298429810.0012153101492149
440.9989468092496520.002106381500695930.00105319075034797
450.9993596001390120.001280799721976860.000640399860988428
460.9998484247621540.0003031504756921090.000151575237846055
470.9999817124366813.65751266386637e-051.82875633193318e-05
480.9999920440145771.59119708459586e-057.95598542297929e-06
490.9999933760361241.32479277512967e-056.62396387564833e-06
500.9999797175426384.05649147239065e-052.02824573619532e-05
510.9999742744566375.1451086726094e-052.5725543363047e-05
520.9999972034043715.59319125879757e-062.79659562939879e-06
530.9999942032312541.15935374918616e-055.79676874593078e-06
540.999969886948746.02261025191907e-053.01130512595953e-05
550.9999844615766943.10768466112475e-051.55384233056237e-05
560.999732388669060.0005352226618796570.000267611330939829


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level150.365853658536585NOK
5% type I error level160.390243902439024NOK
10% type I error level180.439024390243902NOK