Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 9353.33333333334 + 286.825396825397M1[t] -669.015873015873M2[t] + 193.857142857143M3[t] -15.8412698412698M4[t] + 48.6031746031746M5[t] + 153.904761904762M6[t] + 667.349206349206M7[t] + 491.079365079365M8[t] + 355.809523809524M9[t] + 330.968253968254M10[t] -455.587301587302M11[t] + 15.8412698412698t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9353.33333333334105.54806188.616800
M1286.825396825397129.8339542.20920.030390.015195
M2-669.015873015873129.736158-5.15672e-061e-06
M3193.857142857143129.6476121.49530.1392780.069639
M4-15.8412698412698129.568335-0.12230.9030370.451519
M548.6031746031746129.4983450.37530.7085420.354271
M6153.904761904762129.4376561.1890.2383910.119195
M7667.349206349206129.3862825.15782e-061e-06
M8491.079365079365129.3442333.79670.0003060.000153
M9355.809523809524129.3115192.75160.0075220.003761
M10330.968253968254129.2881472.55990.0125990.0063
M11-455.587301587302129.274121-3.52420.0007480.000374
t15.84126984126981.09945914.408200


Multiple Linear Regression - Regression Statistics
Multiple R0.922495178322548
R-squared0.85099735402835
Adjusted R-squared0.825813808230325
F-TEST (value)33.7918004419806
F-TEST (DF numerator)12
F-TEST (DF denominator)71
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation241.840988493735
Sum Squared Residuals4152581.52380952


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
19676965619.9999999999987
286428716-74
394029594.71428571429-192.714285714286
496109400.85714285714209.142857142857
592949481.14285714286-187.142857142857
694489602.28571428571-154.285714285714
71031910131.5714285714187.428571428571
895489971.14285714286-423.142857142857
998019851.71428571429-50.7142857142858
1095969842.71428571429-246.714285714286
1189239072-149
1297469543.42857142857202.571428571428
1398299846.09523809524-17.0952380952373
1491258906.09523809524218.904761904762
1597829784.80952380952-2.8095238095238
1694419590.95238095238-149.952380952381
1791629671.2380952381-509.238095238095
1899159792.38095238095122.619047619048
191044410321.6666666667122.333333333333
201020910161.238095238147.7619047619048
21998510041.8095238095-56.8095238095238
22984210032.8095238095-190.809523809524
2394299262.09523809524166.904761904762
24101329733.52380952381398.476190476191
25984910036.1904761905-187.190476190476
2691729096.1904761904875.8095238095238
27103139974.90476190476338.095238095238
2898199781.0476190476237.952380952381
2999559861.3333333333393.6666666666666
30100489982.4761904761965.5238095238095
311008210511.7619047619-429.761904761905
321054110351.3333333333189.666666666667
331020810231.9047619048-23.904761904762
341023310222.904761904810.095238095238
3594399452.19047619048-13.1904761904762
3699639923.6190476190539.3809523809524
371015810226.2857142857-68.2857142857142
3892259286.28571428571-61.2857142857144
391047410165309
4097579971.14285714286-214.142857142857
411049010051.4285714286438.571428571428
421028110172.5714285714108.428571428571
431044410701.8571428571-257.857142857143
441064010541.428571428698.5714285714286
451069510422273
461078610413373
4798329642.28571428571189.714285714286
48974710113.7142857143-366.714285714286
491041110416.380952381-5.38095238095227
5095119476.3809523809534.6190476190476
511040210355.095238095246.9047619047618
52970110161.2380952381-460.238095238095
531054010241.5238095238298.476190476191
541011210362.6666666667-250.666666666667
551091510891.952380952423.0476190476191
561118310731.5238095238451.47619047619
571038410612.0952380952-228.095238095238
581083410603.0952380952230.904761904762
5998869832.3809523809553.6190476190476
601021610303.8095238095-87.8095238095238
611094310606.4761904762336.52380952381
6298679666.47619047619200.523809523809
631020310545.1904761905-342.190476190476
641083710351.3333333333485.666666666667
651057310431.619047619141.380952380952
661064710552.761904761994.2380952380951
671150211082.0476190476419.952380952381
681065610921.619047619-265.619047619048
691086610802.190476190563.8095238095237
701083510793.190476190541.8095238095237
71994510022.4761904762-77.4761904761904
721033110493.9047619048-162.904761904762
731071810796.5714285714-78.5714285714285
7494629856.57142857143-394.571428571428
751057910735.2857142857-156.285714285714
761063310541.428571428691.5714285714284
771034610621.7142857143-275.714285714286
781075710742.857142857114.1428571428572
791120711272.1428571429-65.1428571428572
801101311111.7142857143-98.7142857142858
811101510992.285714285722.7142857142858
821076510983.2857142857-218.285714285714
831004210212.5714285714-170.571428571429
841066110684-23.0000000000001


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.4205325860236950.841065172047390.579467413976305
170.4463774979029580.8927549958059150.553622502097042
180.4115900443647810.8231800887295610.588409955635219
190.2891382640348830.5782765280697650.710861735965117
200.378645578928950.75729115785790.62135442107105
210.2779440344227640.5558880688455280.722055965577236
220.2090165410319960.4180330820639930.790983458968004
230.1802926587131020.3605853174262040.819707341286898
240.1483780769283030.2967561538566070.851621923071697
250.1622093178741290.3244186357482570.837790682125871
260.1114376309018690.2228752618037380.888562369098131
270.1528843789377160.3057687578754330.847115621062284
280.109381790993460.2187635819869210.89061820900654
290.122751252022280.2455025040445610.87724874797772
300.08464546790571190.1692909358114240.915354532094288
310.3529368366081710.7058736732163410.647063163391829
320.3370789811337630.6741579622675260.662921018866237
330.275095129795420.5501902595908390.72490487020458
340.2330843636720480.4661687273440970.766915636327952
350.1868097494161090.3736194988322180.813190250583891
360.1866012170234580.3732024340469160.813398782976542
370.154787897831410.3095757956628210.84521210216859
380.1304366337238840.2608732674477670.869563366276116
390.1279610633313070.2559221266626150.872038936668692
400.1481329988214360.2962659976428720.851867001178564
410.2527360574273820.5054721148547640.747263942572618
420.1973490578282050.394698115656410.802650942171795
430.2571031859670350.514206371934070.742896814032965
440.2042201609478850.4084403218957710.795779839052115
450.1834486415324950.366897283064990.816551358467505
460.209455127133410.4189102542668210.79054487286659
470.1689011757490660.3378023514981320.831098824250934
480.3183466365655850.6366932731311690.681653363434415
490.2739573077131840.5479146154263690.726042692286816
500.2170058985159090.4340117970318180.782994101484091
510.1822308452986560.3644616905973110.817769154701344
520.5715034886735520.8569930226528950.428496511326448
530.5483282709506470.9033434580987070.451671729049353
540.6567115319339970.6865769361320060.343288468066003
550.6737998109510340.6524003780979330.326200189048966
560.7813846580545680.4372306838908650.218615341945432
570.8877491087173980.2245017825652040.112250891282602
580.8467312442957930.3065375114084150.153268755704207
590.7849277026379890.4301445947240220.215072297362011
600.775003419067360.449993161865280.22499658093264
610.7521581775193050.495683644961390.247841822480695
620.8255612710465870.3488774579068260.174438728953413
630.8662834053045350.267433189390930.133716594695465
640.866358605308370.2672827893832590.13364139469163
650.8685891113337420.2628217773325160.131410888666258
660.7734063271106530.4531873457786930.226593672889347
670.9091021150129270.1817957699741460.0908978849870731
680.8876466910028910.2247066179942180.112353308997109


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 level00OK