Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 96.0952380952381 + 4.43333333333331DUM[t] + 6.0958333333333M1[t] + 3.17976190476191M2[t] + 11.9303571428572M3[t] + 5.65714285714287M4[t] + 4.85535714285714M5[t] + 7.72500000000001M6[t] + 3.20892857142858M7[t] -0.321428571428567M8[t] + 5.09107142857143M9[t] + 5.58928571428572M10[t] + 2.24464285714286M11[t] + 0.187500000000000t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)96.09523809523812.45174839.194600
DUM4.433333333333312.3799741.86280.0666920.033346
M16.09583333333332.9003672.10170.0391760.019588
M23.179761904761912.8966281.09770.2760770.138039
M311.93035714285722.9185774.08770.0001155.7e-05
M45.657142857142872.9115551.9430.0560390.028019
M54.855357142857142.9053441.67120.0991510.049576
M67.725000000000012.8999512.66380.0095810.00479
M73.208928571428582.895381.10830.2715290.135764
M8-0.3214285714285672.891635-0.11120.9118090.455905
M95.091071428571432.8887191.76240.0823670.041184
M105.589285714285722.8866341.93630.0568740.028437
M112.244642857142862.8853820.77790.4392280.219614
t0.1875000000000000.0490743.82070.0002850.000143


Multiple Linear Regression - Regression Statistics
Multiple R0.822720530353184
R-squared0.676869071064625
Adjusted R-squared0.616859041405198
F-TEST (value)11.2792657311793
F-TEST (DF numerator)13
F-TEST (DF denominator)70
p-value1.48470125083122e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.39727444443688
Sum Squared Residuals2039.14


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1101102.378571428572-1.37857142857155
298.799.65-0.949999999999967
3105.1108.588095238095-3.48809523809521
498.4102.502380952381-4.10238095238093
5101.7101.888095238095-0.188095238095272
6102.9104.945238095238-2.04523809523809
792.2100.616666666667-8.41666666666666
894.997.2738095238095-2.37380952380953
992.8102.873809523810-10.0738095238095
1098.5103.559523809524-5.05952380952381
1194.3100.402380952381-6.10238095238095
1287.498.3452380952381-10.9452380952381
13103.4104.628571428571-1.2285714285714
14101.2101.9-0.700000000000013
15109.6110.838095238095-1.23809523809525
16111.9104.7523809523817.14761904761905
17108.9104.1380952380954.76190476190477
18105.6107.195238095238-1.59523809523810
19107.8102.8666666666674.93333333333333
2097.599.5238095238095-2.02380952380952
21102.4105.123809523810-2.72380952380952
22105.6105.809523809524-0.209523809523815
2399.8102.652380952381-2.85238095238096
2496.2100.595238095238-4.39523809523809
25113.1106.8785714285716.22142857142858
26107.4104.153.25
27116.8113.0880952380953.71190476190475
28112.9107.0023809523815.89761904761905
29105.3106.388095238095-1.08809523809524
30109.3109.445238095238-0.145238095238096
31107.9105.1166666666672.78333333333334
32101.1101.773809523810-0.673809523809531
33114.7107.3738095238107.32619047619048
34116.2108.0595238095248.14047619047619
35108.4104.9023809523813.49761904761905
36113.4102.84523809523810.5547619047619
37108.7109.128571428571-0.428571428571408
38112.6106.46.19999999999999
39124.2119.7714285714294.42857142857143
40114.9113.6857142857141.21428571428572
41110.5113.071428571429-2.57142857142856
42121.5116.1285714285715.37142857142858
43118.1111.86.3
44111.7108.4571428571433.24285714285715
45132.7114.05714285714318.6428571428571
46119114.7428571428574.25714285714286
47116.7111.5857142857145.11428571428572
48120.1109.52857142857110.5714285714286
49113.4115.811904761905-2.41190476190473
50106.6113.083333333333-6.48333333333334
51116.3122.021428571429-5.72142857142858
52112.6115.935714285714-3.3357142857143
53111.6115.321428571429-3.72142857142857
54125.1118.3785714285716.72142857142857
55110.7114.05-3.35
56109.6110.707142857143-1.10714285714286
57114.2116.307142857143-2.10714285714285
58113.4116.992857142857-3.59285714285714
59116113.8357142857142.16428571428571
60109.6111.778571428571-2.17857142857143
61117.8118.061904761905-0.261904761904745
62115.8115.3333333333330.466666666666661
63125.3124.2714285714291.02857142857142
64113118.185714285714-5.18571428571429
65120.5117.5714285714292.92857142857143
66116.6120.628571428571-4.02857142857143
67111.8116.3-4.50000000000001
68115.2112.9571428571432.24285714285714
69118.6118.5571428571430.0428571428571376
70122.4119.2428571428573.15714285714286
71116.4116.0857142857140.314285714285716
72114.5114.0285714285710.471428571428576
73119.8120.311904761905-0.511904761904748
74115.8117.583333333333-1.78333333333334
75127.8126.5214285714291.27857142857142
76118.8120.435714285714-1.63571428571430
77119.7119.821428571429-0.121428571428565
78118.6122.878571428571-4.27857142857144
79120.8118.552.24999999999999
80115.9115.2071428571430.692857142857145
81109.7120.807142857143-11.1071428571429
82114.8121.492857142857-6.69285714285715
83116.2118.335714285714-2.13571428571429
84112.2116.278571428571-4.07857142857143


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.3677393116319160.7354786232638310.632260688368084
180.2492235861896320.4984471723792640.750776413810368
190.3940655958886270.7881311917772540.605934404111373
200.3205029097201410.6410058194402810.67949709027986
210.2589865026333440.5179730052666880.741013497366656
220.1774903236545910.3549806473091810.82250967634541
230.1327828979928200.2655657959856410.86721710200718
240.1250057709825540.2500115419651080.874994229017446
250.08003963416541730.1600792683308350.919960365834583
260.05614838260312190.1122967652062440.943851617396878
270.03291028605630570.06582057211261140.967089713943694
280.02176549196799760.04353098393599530.978234508032002
290.07087698501572920.1417539700314580.92912301498427
300.05981131785551230.1196226357110250.940188682144488
310.03836760542138870.07673521084277750.961632394578611
320.03592437329921300.07184874659842610.964075626700787
330.07329764098041450.1465952819608290.926702359019586
340.07169534535554940.1433906907110990.92830465464445
350.05493135713680120.1098627142736020.945068642863199
360.155982502836790.311965005673580.84401749716321
370.2498305016352610.4996610032705220.750169498364739
380.195717852836550.39143570567310.80428214716345
390.1475326702365990.2950653404731990.8524673297634
400.1256413749166530.2512827498333050.874358625083347
410.1227735056405730.2455470112811470.877226494359427
420.1146268795081270.2292537590162540.885373120491873
430.1016025621479390.2032051242958790.89839743785206
440.07489540531270180.1497908106254040.925104594687298
450.6981785366058040.6036429267883920.301821463394196
460.6628961305564390.6742077388871220.337103869443561
470.6094140123969010.7811719752061990.390585987603099
480.8004547409497380.3990905181005240.199545259050262
490.8277006156528180.3445987686943630.172299384347181
500.9164415945021560.1671168109956880.0835584054978442
510.961376277118230.07724744576354020.0386237228817701
520.958900507210830.08219898557834110.0410994927891706
530.9702140218651630.05957195626967450.0297859781348373
540.9871043222489650.02579135550207050.0128956777510353
550.9854018479271120.02919630414577530.0145981520728877
560.9825089803919460.03498203921610710.0174910196080535
570.9747345542786930.05053089144261480.0252654457213074
580.9708877897278730.05822442054425360.0291122102721268
590.9486352711997130.1027294576005730.0513647288002866
600.9291589277453820.1416821445092360.0708410722546181
610.8884356137792750.2231287724414510.111564386220725
620.8236480199765220.3527039600469560.176351980023478
630.7466771717186460.5066456565627070.253322828281354
640.7453452153631930.5093095692736140.254654784636807
650.6199634962708250.760073007458350.380036503729175
660.5136090204863980.9727819590272040.486390979513602
670.7558515505115940.4882968989768120.244148449488406


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level40.0784313725490196NOK
10% type I error level120.235294117647059NOK