Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 53.7889795918367 -17.1816326530612X[t] -0.0814965986394639M1[t] + 1.06367346938775M2[t] + 0.563673469387756M3[t] + 0.0836734693877571M4[t] -0.396326530612249M5[t] -0.656326530612247M6[t] + 2.60000000000000M7[t] + 2.12M8[t] + 1.56000000000000M9[t] + 1.06000000000000M10[t] + 0.559999999999999M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)53.78897959183672.87546418.706200
X-17.18163265306121.582891-10.854600
M1-0.08149659863946393.678306-0.02220.9824150.491208
M21.063673469387753.851340.27620.7835930.391797
M30.5636734693877563.851340.14640.8842520.442126
M40.08367346938775713.851340.02170.9827570.491378
M5-0.3963265306122493.85134-0.10290.9184660.459233
M6-0.6563265306122473.85134-0.17040.86540.4327
M72.600000000000003.8383060.67740.5014160.250708
M82.123.8383060.55230.5832870.291644
M91.560000000000003.8383060.40640.6862340.343117
M101.060000000000003.8383060.27620.7836080.391804
M110.5599999999999993.8383060.14590.8846130.442307


Multiple Linear Regression - Regression Statistics
Multiple R0.845833695305805
R-squared0.715434640114673
Adjusted R-squared0.644293300143341
F-TEST (value)10.0565246648851
F-TEST (DF numerator)12
F-TEST (DF denominator)48
p-value1.91935778381946e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.06889503628554
Sum Squared Residuals1767.91137414966


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
156.653.70748299319732.89251700680269
25654.85265306122451.14734693877548
354.854.35265306122450.44734693877551
452.753.8726530612245-1.17265306122449
550.953.3926530612245-2.49265306122449
650.653.1326530612245-2.53265306122449
752.156.3889795918367-4.28897959183673
853.355.9089795918367-2.60897959183673
953.955.3489795918367-1.44897959183673
1054.354.8489795918367-0.548979591836734
1154.254.3489795918367-0.148979591836729
1254.253.78897959183670.41102040816327
1353.553.7074829931973-0.207482993197271
1451.454.8526530612245-3.45265306122448
1550.554.3526530612245-3.85265306122449
1650.353.8726530612245-3.57265306122449
1749.853.3926530612245-3.59265306122449
1850.753.1326530612245-2.43265306122449
1952.856.3889795918367-3.58897959183674
2055.355.9089795918367-0.608979591836735
2157.355.34897959183671.95102040816327
2257.554.84897959183672.65102040816327
2356.854.34897959183672.45102040816326
2456.453.78897959183672.61102040816326
2556.353.70748299319732.59251700680273
2656.454.85265306122451.54734693877552
275754.35265306122452.64734693877551
2857.953.87265306122454.02734693877551
2958.953.39265306122455.50734693877552
3058.853.13265306122455.66734693877551
3156.539.207346938775517.2926530612245
3251.938.727346938775513.1726530612245
3347.438.16734693877559.23265306122449
3444.937.66734693877557.23265306122449
3543.937.16734693877556.73265306122449
3643.436.60734693877556.79265306122449
3742.936.52585034013606.37414965986395
3842.637.67102040816334.92897959183674
3942.237.17102040816335.02897959183673
4041.236.69102040816334.50897959183674
4140.236.21102040816333.98897959183674
4239.335.95102040816333.34897959183673
4338.539.2073469387755-0.707346938775512
4438.338.7273469387755-0.427346938775513
4537.938.1673469387755-0.26734693877551
4637.637.6673469387755-0.0673469387755091
4737.337.16734693877550.132653061224487
483636.6073469387755-0.607346938775511
4934.536.5258503401360-2.02585034013605
5033.537.6710204081633-4.17102040816326
5132.937.1710204081633-4.27102040816327
5232.936.6910204081633-3.79102040816327
5332.836.2110204081633-3.41102040816327
5431.935.9510204081633-4.05102040816327
5530.539.2073469387755-8.70734693877551
5629.238.7273469387755-9.5273469387755
5728.738.1673469387755-9.46734693877551
5828.437.6673469387755-9.26734693877551
592837.1673469387755-9.16734693877551
6027.436.6073469387755-9.20734693877552
6126.936.5258503401360-9.62585034013605


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.09079147330583380.1815829466116680.909208526694166
170.03242296548280090.06484593096560180.96757703451720
180.01012049993146910.02024099986293810.98987950006853
190.003178133351869610.006356266703739220.99682186664813
200.001068430268876920.002136860537753830.998931569731123
210.0005092090057420830.001018418011484170.999490790994258
220.0002226141759489350.0004452283518978710.99977738582405
238.04947863379647e-050.0001609895726759290.999919505213662
242.57810506126255e-055.1562101225251e-050.999974218949387
256.88833087188077e-061.37766617437615e-050.999993111669128
262.82165500876413e-065.64331001752827e-060.999997178344991
272.51778939777423e-065.03557879554846e-060.999997482210602
286.18612248012076e-061.23722449602415e-050.99999381387752
292.97176721365546e-055.94353442731092e-050.999970282327863
306.04808323064724e-050.0001209616646129450.999939519167694
310.0001126712167216470.0002253424334432940.999887328783278
320.0002888042166430760.0005776084332861530.999711195783357
330.0009768204860262880.001953640972052580.999023179513974
340.002498305616785520.004996611233571030.997501694383214
350.004497090437975110.008994180875950220.995502909562025
360.00794169633944940.01588339267889880.99205830366055
370.01694496478525340.03388992957050670.983055035214747
380.01753880761015130.03507761522030260.982461192389849
390.0183469607587060.0366939215174120.981653039241294
400.01765549305989350.03531098611978690.982344506940107
410.01559258134545960.03118516269091910.98440741865454
420.01440667257635840.02881334515271680.985593327423642
430.02182925755605570.04365851511211130.978170742443944
440.03348490998774620.06696981997549230.966515090012254
450.04649601652655840.09299203305311680.953503983473442


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level170.566666666666667NOK
5% type I error level260.866666666666667NOK
10% type I error level290.966666666666667NOK