Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 57.6266666666667 + 4.99103174603176M1[t] + 6.17063492063492M2[t] + 4.15023809523809M3[t] + 3.54650793650794M4[t] + 4.02611111111111M5[t] + 5.30571428571429M6[t] + 3.68531746031746M7[t] + 2.11492063492064M8[t] + 1.29452380952381M9[t] -1.92587301587301M10[t] -1.34626984126984M11[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)57.62666666666676.9442228.298500
M14.991031746031768.5028170.5870.5594530.279726
M26.170634920634928.4940610.72650.4704260.235213
M34.150238095238098.486130.48910.6266110.313306
M43.546507936507948.4790280.41830.677270.338635
M54.026111111111118.4727570.47520.6364110.318205
M65.305714285714298.4673180.62660.5333310.266666
M73.685317460317468.4627130.43550.6648050.332403
M82.114920634920648.4589440.250.8034390.401719
M91.294523809523818.4560110.15310.878850.439425
M10-1.925873015873018.453915-0.22780.8205830.410291
M11-1.346269841269848.452658-0.15930.8739990.436999
t0.9203968253968250.08418610.932900


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
159.863.5380952380952-3.73809523809521
260.765.6380952380952-4.93809523809523
359.764.5380952380952-4.83809523809523
460.264.8547619047619-4.65476190476191
561.366.2547619047619-4.95476190476191
659.868.4547619047619-8.65476190476191
761.267.7547619047619-6.5547619047619
859.367.1047619047619-7.80476190476191
959.467.2047619047619-7.8047619047619
1063.164.9047619047619-1.80476190476191
116866.40476190476191.59523809523809
1269.468.67142857142860.728571428571437
1370.274.5828571428571-4.38285714285714
1472.676.6828571428571-4.08285714285714
1572.175.5828571428572-3.48285714285715
1669.775.8995238095238-6.19952380952381
1771.577.2995238095238-5.79952380952381
1875.779.4995238095238-3.79952380952381
197678.7995238095238-2.79952380952381
2076.478.1495238095238-1.74952380952381
2183.878.24952380952385.55047619047618
2286.275.949523809523810.2504761904762
2388.577.449523809523811.0504761904762
2495.979.716190476190516.1838095238095
25103.185.627619047619117.4723809523809
26113.587.72761904761925.7723809523809
27115.786.62761904761929.072380952381
28113.186.944285714285726.1557142857143
29112.788.344285714285724.3557142857143
30121.990.544285714285731.3557142857143
31120.389.844285714285730.4557142857143
32108.789.194285714285719.5057142857143
33102.889.294285714285713.5057142857143
3483.486.9942857142857-3.59428571428571
3579.488.4942857142857-9.09428571428571
3677.890.7609523809524-12.9609523809524
3785.796.672380952381-10.972380952381
3883.298.772380952381-15.572380952381
398297.672380952381-15.672380952381
4086.997.9890476190476-11.0890476190476
4195.799.3890476190476-3.68904761904762
4297.9101.589047619048-3.68904761904761
4389.3100.889047619048-11.5890476190476
4491.5100.239047619048-8.73904761904762
4586.8100.339047619048-13.5390476190476
469198.0390476190476-7.03904761904762
4793.899.5390476190476-5.73904761904762
4896.8101.805714285714-5.00571428571429
4995.7107.717142857143-12.0171428571429
5091.4109.817142857143-18.4171428571429
5188.7108.717142857143-20.0171428571429
5288.2109.03380952381-20.8338095238095
5387.7110.43380952381-22.7338095238095
5489.5112.63380952381-23.1338095238095
5595.6111.93380952381-16.3338095238095
56100.5111.28380952381-10.7838095238095
57106.3111.38380952381-5.08380952380952
58112109.083809523812.91619047619047
59117.7110.583809523817.11619047619048
60125112.85047619047612.1495238095238
61132.4118.76190476190513.6380952380952
62138.1120.86190476190517.2380952380952
63134.7119.76190476190514.9380952380952
64136.7120.07857142857116.6214285714286
65134.3121.47857142857112.8214285714286
66131.6123.6785714285717.92142857142857
67129.8122.9785714285716.82142857142859
68131.9122.3285714285719.57142857142859
69129.8122.4285714285717.37142857142858
70119.4120.128571428571-0.728571428571422
71116.7121.628571428571-4.92857142857143
72112.8123.895238095238-11.0952380952381


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.0002676113309398280.0005352226618796560.99973238866906
171.55384233056233e-053.10768466112467e-050.999984461576694
183.01130512595959e-056.02261025191917e-050.99996988694874
195.79676874593064e-061.15935374918613e-050.999994203231254
202.79659562939883e-065.59319125879767e-060.999997203404371
212.57255433630464e-055.14510867260927e-050.999974274456637
222.02824573619531e-054.05649147239062e-050.999979717542638
236.62396387564836e-061.32479277512967e-050.999993376036124
247.95598542297934e-061.59119708459587e-050.999992044014577
251.82875633193314e-053.65751266386628e-050.999981712436681
260.0001515752378460530.0003031504756921070.999848424762154
270.0006403998609884250.001280799721976850.999359600139012
280.001053190750347960.002106381500695920.998946809249652
290.001215310149214910.002430620298429810.998784689850785
300.004824257393988120.009648514787976240.995175742606012
310.01748195580886440.03496391161772880.982518044191136
320.02508102881120940.05016205762241870.974918971188791
330.04256130142892890.08512260285785780.957438698571071
340.1522480850355250.304496170071050.847751914964475
350.3559531168723090.7119062337446180.644046883127691
360.5687211910452560.8625576179094880.431278808954744
370.6687559418022070.6624881163955860.331244058197793
380.7557249362895090.4885501274209810.244275063710491
390.7944205772154250.4111588455691490.205579422784575
400.7804735676888840.4390528646222320.219526432311116
410.7617851177749240.4764297644501520.238214882225076
420.7651647091048220.4696705817903550.234835290895178
430.7464195167707070.5071609664585850.253580483229293
440.7009550132247170.5980899735505650.299044986775283
450.6470761778546710.7058476442906570.352923822145329
460.5880357349284560.8239285301430880.411964265071544
470.5409151550547020.9181696898905970.459084844945298
480.527217001390610.945565997218780.47278299860939
490.4456855782112430.8913711564224870.554314421788757
500.4263457406623320.8526914813246650.573654259337668
510.4167893608414620.8335787216829230.583210639158538
520.4506050491603610.9012100983207220.549394950839639
530.5146667061251360.9706665877497270.485333293874864
540.5865342311168630.8269315377662740.413465768883137
550.6046533837642790.7906932324714430.395346616235721
560.6811263779296830.6377472441406330.318873622070317


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