Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 464.210309278351 -36.5257731958763X[t] -1.53505154639171M1[t] -14.3051546391753M2[t] -19.1051546391753M3[t] -25.3051546391753M4[t] -19.7051546391753M5[t] -8.80000000000004M6[t] -10.0000000000000M7[t] -14.0000000000000M8[t] -16.2000000000000M9[t] -21.2000000000000M10[t] -20.4000000000000M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)464.2103092783519.7041447.836300
X-36.52577319587635.855367-6.23800
M1-1.5350515463917112.756997-0.12030.9047240.452362
M2-14.305154639175313.369397-1.070.2899740.144987
M3-19.105154639175313.369397-1.4290.1594740.079737
M4-25.305154639175313.369397-1.89280.0644270.032214
M5-19.705154639175313.369397-1.47390.1470370.073519
M6-8.8000000000000413.318009-0.66080.5119260.255963
M7-10.000000000000013.318009-0.75090.4564010.2282
M8-14.000000000000013.318009-1.05120.2984270.149213
M9-16.200000000000013.318009-1.21640.2297810.114891
M10-21.200000000000013.318009-1.59180.1179880.058994
M11-20.400000000000013.318009-1.53180.1321460.066073


Multiple Linear Regression - Regression Statistics
Multiple R0.697897034627074
R-squared0.487060270941264
Adjusted R-squared0.35882533867658
F-TEST (value)3.79818714245463
F-TEST (DF numerator)12
F-TEST (DF denominator)48
p-value0.000447445226957166
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation21.0576217111663
Sum Squared Residuals21284.3247422680


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1449462.675257731958-13.6752577319584
2452449.9051546391752.09484536082474
3462445.10515463917516.8948453608247
4455438.90515463917516.0948453608247
5461444.50515463917516.4948453608247
6461455.4103092783505.58969072164948
7463454.2103092783518.78969072164944
8462450.21030927835111.7896907216495
9456448.0103092783517.98969072164949
10455443.01030927835111.9896907216495
11456443.81030927835112.1896907216495
12472464.2103092783517.78969072164946
13472462.6752577319599.32474226804115
14471449.90515463917521.0948453608248
15465445.10515463917519.8948453608247
16459438.90515463917520.0948453608248
17465444.50515463917520.4948453608247
18468455.41030927835012.5896907216495
19467454.21030927835112.7896907216495
20463450.21030927835112.7896907216495
21460448.01030927835111.9896907216495
22462443.01030927835118.9896907216495
23461443.81030927835117.1896907216495
24476464.21030927835111.7896907216495
25476462.67525773195913.3247422680412
26471449.90515463917521.0948453608248
27453445.1051546391757.89484536082474
28443438.9051546391754.09484536082476
29442444.505154639175-2.50515463917525
30444455.410309278350-11.4103092783505
31438454.210309278351-16.2103092783505
32427450.210309278351-23.2103092783505
33424448.010309278351-24.0103092783505
34416443.010309278351-27.0103092783505
35406443.810309278351-37.8103092783505
36431464.210309278351-33.2103092783505
37434462.675257731959-28.6752577319588
38418449.905154639175-31.9051546391752
39412445.105154639175-33.1051546391753
40404438.905154639175-34.9051546391753
41409444.505154639175-35.5051546391753
42412418.884536082474-6.88453608247421
43406417.684536082474-11.6845360824742
44398413.684536082474-15.6845360824742
45397411.484536082474-14.4845360824742
46385406.484536082474-21.4845360824742
47390407.284536082474-17.2845360824742
48413427.684536082474-14.6845360824742
49413426.149484536083-13.1494845360825
50401413.379381443299-12.3793814432990
51397408.579381443299-11.5793814432990
52397402.379381443299-5.37938144329894
53409407.9793814432991.02061855670105
54419418.8845360824740.115463917525785
55424417.6845360824746.31546391752579
56428413.68453608247414.3154639175258
57430411.48453608247418.5154639175258
58424406.48453608247417.5154639175258
59433407.28453608247425.7154639175258
60456427.68453608247428.3154639175258
61459426.14948453608332.8505154639175


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.1711196892250420.3422393784500840.828880310774958
170.08099378727733740.1619875745546750.919006212722663
180.03723965247166440.07447930494332890.962760347528336
190.01556629251368090.03113258502736180.984433707486319
200.006104978506613680.01220995701322740.993895021493386
210.002406935107605850.00481387021521170.997593064892394
220.001261180511616650.00252236102323330.998738819488383
230.0006346859302991650.001269371860598330.9993653140697
240.0002795451195640170.0005590902391280330.999720454880436
250.0004266398641597390.0008532797283194780.99957336013584
260.0006733452786852450.001346690557370490.999326654721315
270.0009322064041809650.001864412808361930.999067793595819
280.001724562188985120.003449124377970230.998275437811015
290.005032534623501330.01006506924700270.994967465376499
300.008793407479739210.01758681495947840.99120659252026
310.02078747434589410.04157494869178830.979212525654106
320.0574138796236990.1148277592473980.9425861203763
330.09189190174173040.1837838034834610.90810809825827
340.1653760830832690.3307521661665390.83462391691673
350.2940104249011880.5880208498023750.705989575098812
360.3325765114052070.6651530228104140.667423488594793
370.3138184051339490.6276368102678980.686181594866051
380.3433571460953480.6867142921906970.656642853904652
390.3555866113220990.7111732226441970.644413388677901
400.3429288474917420.6858576949834840.657071152508258
410.3072759190997330.6145518381994670.692724080900267
420.2100596021050940.4201192042101890.789940397894906
430.1409363559485450.2818727118970910.859063644051455
440.1031873981816570.2063747963633150.896812601818343
450.07468605183641640.1493721036728330.925313948163584


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level80.266666666666667NOK
5% type I error level130.433333333333333NOK
10% type I error level140.466666666666667NOK