Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 471.932069124408 + 5.05228499250553X[t] + 7.83474690929715M1[t] -8.0202554827627M2[t] -20.4390780800647M3[t] -28.9505807784159M4[t] -38.1422151796150M5[t] -38.7589463772168M6[t] + 11.7337337238324M7[t] + 20.6285052245819M8[t] + 14.3546477208346M9[t] + 3.90588701349005M10[t] -7.14914789295519M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)471.93206912440828.71932616.432600
X5.052284992505531.4154073.56950.0008240.000412
M17.8347469092971522.4048580.34970.7281010.364051
M2-8.020255482762723.5817-0.34010.7352610.367631
M3-20.439078080064723.657426-0.8640.3919070.195953
M4-28.950580778415923.708976-1.22110.2280190.11401
M5-38.142215179615023.67109-1.61130.1136620.056831
M6-38.758946377216823.748961-1.6320.1092180.054609
M711.733733723832423.7856610.49330.6240420.312021
M820.628505224581923.8128510.86630.3906480.195324
M914.354647720834623.6850510.60610.5473280.273664
M103.9058870134900523.494460.16620.8686610.43433
M11-7.1491478929551923.393779-0.30560.761230.380615


Multiple Linear Regression - Regression Statistics
Multiple R0.61326202686736
R-squared0.376090313597463
Adjusted R-squared0.220112891996828
F-TEST (value)2.41118432230792
F-TEST (DF numerator)12
F-TEST (DF denominator)48
p-value0.0155093066966934
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation36.9289428676062
Sum Squared Residuals65459.8474233084


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1562549.99357742953212.006422570468
2561544.24314502248316.7568549775166
3555543.44457790794411.5554220920558
4544542.5115026983511.48849730164874
5537535.3407822941541.65921770584570
6543533.7135940980519.28640590194859
7594584.7115026983519.28849730164879
8611606.7422151796154.25778482038498
9613590.36378769085722.6362123091432
10611577.38888448725933.6111155127406
11594566.83907808006527.1609219199353
12595582.07188196102912.9281180389712
13591590.9170858688270.08291413117299
14589562.43137099550326.5686290044967
15584539.9079784131944.0920215868097
16573534.93307520959338.0669247904071
17567528.77281180389738.2271881961029
18569532.7031370995536.2968629004497
19621578.64876070734542.3512392926554
20629586.02784671034242.9721532896576
21628580.76444620509647.2355537949038
22612569.3052284992542.6947715007494
23595562.2920215868132.7079784131903
24597567.42025548276329.5797445172373
25593587.8857148733245.11428512667632
26590577.5882259730212.4117740269801
27580577.8001158569822.19988414301825
28574558.67881467436915.3211853256311
29573549.4871802731723.5128197268302
30573540.78679308755932.2132069124408
31620596.33175818111423.6682418188861
32626598.15333069235627.8466693076443
33620586.82718819610333.1728118038971
34588577.8941129865110.1058870134900
35566564.8181640830621.18183591693749
36557561.357513491756-4.35751349175607
37561571.213174398055-10.2131743980554
38549552.832029509743-3.83202950974282
39532543.444577907944-11.4445779079441
40526523.8180482260812.18195177391925
41511516.142099322633-5.14209932263331
42499520.577653117537-21.5776531175371
43555579.659217705846-24.6592177058457
44565586.533075209593-21.5330752095929
45542577.227846710342-35.2278467103424
46527566.273857503747-39.2738575037472
47510554.713594098051-44.7135940980514
48514565.39934148576-51.3993414857605
49517567.676574903302-50.6765749033016
50508559.90522849925-51.9052284992505
51493539.40274991394-46.4027499139397
52490547.058559191606-57.0585591916062
53469527.257126306145-58.2571263061455
54478534.218822597302-56.218822597302
55528578.648760707345-50.6487607073446
56534587.543532208094-53.543532208094
57518585.816731197602-67.8167311976017
58506553.137916523233-47.1379165232329
59502518.337142152012-16.3371421520116
60516502.75100757869213.2489924213081
61528484.3138725269643.6861274730397


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.1264859148075310.2529718296150620.873514085192469
170.09807724381021420.1961544876204280.901922756189786
180.06329810307690380.1265962061538080.936701896923096
190.04768899980181850.0953779996036370.952311000198181
200.03282984857906370.06565969715812750.967170151420936
210.02154907829787370.04309815659574740.978450921702126
220.01254459397405940.02508918794811880.98745540602594
230.006533580990059560.01306716198011910.99346641900994
240.003212470409035320.006424940818070640.996787529590965
250.001527222152062090.003054444304124190.998472777847938
260.0007452623950863580.001490524790172720.999254737604914
270.0003208698928384870.0006417397856769730.999679130107161
280.0001689310029776790.0003378620059553590.999831068997022
290.0001423248207343320.0002846496414686650.999857675179266
300.0001762065899774570.0003524131799549150.999823793410022
310.0001866880212769920.0003733760425539850.999813311978723
320.0002592076999642950.0005184153999285910.999740792300036
330.001162934036472700.002325868072945400.998837065963527
340.006119082820379220.01223816564075840.99388091717962
350.02504120813841260.05008241627682520.974958791861587
360.06110729354175230.1222145870835050.938892706458248
370.109665726489020.219331452978040.89033427351098
380.1759090465473500.3518180930947010.82409095345265
390.3127884331969910.6255768663939820.687211566803009
400.3760675174264480.7521350348528950.623932482573552
410.5905882561680920.8188234876638170.409411743831908
420.6546092457614720.6907815084770560.345390754238528
430.7436135039183490.5127729921633020.256386496081651
440.8499643762218820.3000712475562360.150035623778118
450.9003556859674510.1992886280650970.0996443140325487


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level100.333333333333333NOK
5% type I error level140.466666666666667NOK
10% type I error level170.566666666666667NOK