Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 661.39268292683 + 75.0182926829268X[t] + 7.60121951219552M1[t] -8.06544715447153M2[t] + 98.4345528455284M3[t] -9.06544715447148M4[t] -2.89878048780486M5[t] + 134.101219512195M6[t] -253.735162601626M7[t] -342.568495934959M8[t] + 146.098170731707M9[t] + 76.4315040650406M10[t] -29.2M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)661.3926829268328.88494122.897500
X75.018292682926815.5737164.8171.1e-056e-06
M17.6012195121955238.2041320.1990.8429990.4215
M2-8.0654471544715338.204132-0.21110.8335510.416775
M398.434552845528438.2041322.57650.0125940.006297
M4-9.0654471544714838.204132-0.23730.8132830.406641
M5-2.8987804878048638.204132-0.07590.9397830.469892
M6134.10121951219538.2041323.51010.0008830.000441
M7-253.73516260162638.221763-6.638500
M8-342.56849593495938.221763-8.962700
M9146.09817073170738.2217633.82240.0003290.000165
M1076.431504065040638.2217631.99970.0503080.025154
M11-29.239.888177-0.7320.467140.23357


Multiple Linear Regression - Regression Statistics
Multiple R0.930216186377923
R-squared0.865302153399486
Adjusted R-squared0.836944712009904
F-TEST (value)30.5141123810057
F-TEST (DF numerator)12
F-TEST (DF denominator)57
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation63.0687447979535
Sum Squared Residuals226726.994512195


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1627668.993902439022-41.9939024390224
2696653.32723577235842.6727642276422
3825759.82723577235865.1727642276424
4677652.32723577235824.6727642276422
5656658.493902439024-2.49390243902429
6785795.493902439025-10.4939024390246
7412407.6575203252034.34247967479673
8352318.8241869918733.1758130081301
9839807.49085365853631.5091463414637
10729737.82418699187-8.82418699187037
11696632.19268292682963.8073170731707
12641661.392682926829-20.3926829268292
13695668.99390243902526.0060975609752
14638653.327235772358-15.3272357723577
15762759.8272357723582.17276422764226
16635652.327235772358-17.3272357723577
17721658.49390243902462.5060975609756
18854795.49390243902458.5060975609756
19418407.65752032520310.3424796747967
20367318.8241869918748.1758130081300
21824807.49085365853716.5091463414633
22687737.82418699187-50.8241869918699
23601632.192682926829-31.1926829268293
24676661.39268292682914.6073170731707
25740668.99390243902571.0060975609752
26691653.32723577235837.6727642276423
27683759.827235772358-76.8272357723577
28594652.327235772358-58.3272357723577
29729658.49390243902470.5060975609756
30731795.493902439024-64.4939024390244
31386407.657520325203-21.6575203252033
32331318.8241869918712.1758130081300
33707807.490853658537-100.490853658537
34715737.82418699187-22.8241869918699
35657632.19268292682924.8073170731707
36653661.392682926829-8.39268292682928
37642668.993902439025-26.9939024390248
38643653.327235772358-10.3272357723577
39718759.827235772358-41.8272357723578
40654652.3272357723581.67276422764227
41632658.493902439024-26.4939024390245
42731795.493902439024-64.4939024390244
43392482.67581300813-90.67581300813
44344393.842479674797-49.8424796747967
45792882.509146341463-90.5091463414634
46852812.84247967479739.1575203252033
47649707.210975609756-58.2109756097561
48629736.410975609756-107.410975609756
49685744.012195121952-59.0121951219516
50617728.345528455284-111.345528455284
51715834.845528455285-119.845528455285
52715727.345528455284-12.3455284552845
53629733.512195121951-104.512195121951
54916870.51219512195145.4878048780488
55531482.6758130081348.3241869918699
56357393.842479674797-36.8424796747967
57917882.50914634146434.4908536585365
58828812.84247967479715.1575203252034
59708707.2109756097560.789024390243946
60858736.410975609756121.589024390244
61775744.01219512195230.9878048780484
62785728.34552845528456.6544715447155
631006834.845528455285171.154471544715
64789727.34552845528461.6544715447155
65734733.5121951219510.487804878048803
66906870.51219512195135.4878048780488
67532482.6758130081349.3241869918699
68387393.842479674797-6.84247967479674
69991882.509146341463108.490853658537
70841812.84247967479728.1575203252033


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.2839949487791620.5679898975583240.716005051220838
170.2252729706206280.4505459412412570.774727029379372
180.1895958305586810.3791916611173620.810404169441319
190.1048017631213370.2096035262426740.895198236878663
200.05873011085001350.1174602217000270.941269889149986
210.02998883517230920.05997767034461830.97001116482769
220.01843251358100610.03686502716201220.981567486418994
230.02613328362503750.0522665672500750.973866716374962
240.01492179146540330.02984358293080660.985078208534597
250.02085888845192470.04171777690384940.979141111548075
260.01277492017093480.02554984034186950.987225079829065
270.02862875602528790.05725751205057580.971371243974712
280.02462892377255290.04925784754510580.975371076227447
290.02292825141039490.04585650282078980.977071748589605
300.02732167169615650.0546433433923130.972678328303843
310.01675672379783790.03351344759567590.983243276202162
320.01135925989257070.02271851978514140.98864074010743
330.02678792540992780.05357585081985560.973212074590072
340.01614534007436320.03229068014872640.983854659925637
350.01059861075444180.02119722150888360.989401389245558
360.00580822558414140.01161645116828280.994191774415859
370.003729676438000050.007459352876000110.996270323562
380.002303957552649150.004607915105298290.997696042447351
390.001360745824220310.002721491648440630.99863925417578
400.0006757842610146190.001351568522029240.999324215738985
410.0007281278764030020.001456255752806000.999271872123597
420.0004750304686471810.0009500609372943630.999524969531353
430.0004995146009157290.0009990292018314580.999500485399084
440.0002292704056530650.000458540811306130.999770729594347
450.0003887307828844890.0007774615657689790.999611269217116
460.0007696859012225760.001539371802445150.999230314098777
470.0004182596572012880.0008365193144025750.999581740342799
480.002329529527821950.004659059055643890.997670470472178
490.001594355875182080.003188711750364160.998405644124818
500.004391311114800570.008782622229601140.9956086888852
510.4888262924709250.977652584941850.511173707529075
520.5372287023667550.925542595266490.462771297633245
530.8177980651588850.3644038696822300.182201934841115
540.7206681732471860.5586636535056290.279331826752814


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level140.358974358974359NOK
5% type I error level250.641025641025641NOK
10% type I error level300.769230769230769NOK