Multiple Linear Regression - Estimated Regression Equation
Y1[t] = + 100.393611638968 + 0.332336476662426X1[t] + 3.99817389808975X2[t] + 1.85791247072403X3[t] + 7.83886063212366X4[t] + 2.55876932475728X5[t] -3.23116194241755X6[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)100.393611638968370.6931750.27080.787820.39391
X10.3323364766624260.0596175.57452e-061e-06
X23.998173898089752.6824831.49050.1433990.071699
X31.857912470724035.2408730.35450.7246940.362347
X47.838860632123667.7598721.01020.318060.15903
X52.558769324757283.4269520.74670.4593320.229666
X6-3.2311619424175510.715371-0.30150.7644530.382226


Multiple Linear Regression - Regression Statistics
Multiple R0.783045775972243
R-squared0.613160687267972
Adjusted R-squared0.559183108747223
F-TEST (value)11.3595441676266
F-TEST (DF numerator)6
F-TEST (DF denominator)43
p-value1.42426969884646e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation195.157830190179
Sum Squared Residuals1637722.88343517


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1478559.882079274507-81.8820792745071
2494570.986176753474-76.9861767534744
3643704.005363678289-61.0053636782892
4341632.823520381786-291.823520381786
5773677.92115806077795.0788419392227
6603509.21756534563593.7824346543646
7484580.919451284355-96.9194512843549
8546519.43019202460526.5698079753946
9424465.219932798116-41.2199327981162
10548592.558206662016-44.5582066620163
11506523.893430174056-17.8934301740559
12819605.520749206515213.479250793485
13541561.610429575029-20.610429575029
14491750.878862426951-259.878862426951
15514498.82136958732815.1786304126716
16371505.313879684233-134.313879684233
17457489.951621037286-32.9516210372863
18437583.595210986059-146.595210986059
19570603.776048293387-33.7760482933869
20432526.017630951951-94.0176309519513
21619727.874003901545-108.874003901545
22357549.932038770365-192.932038770365
23623614.5923146782738.40768532172732
24547815.576777312715-268.576777312715
25792710.46099850488581.5390014951147
26799742.45487744147456.5451225585262
27439632.543583986624-193.543583986624
28867846.26566354752520.7343364524746
29912825.02473195194986.9752680480505
30462570.104677478719-108.104677478719
31859738.086124885779120.913875114221
32805853.830735861158-48.830735861158
33652696.861648752452-44.8616487524522
34776629.086786834156146.913213165844
35919747.238641249239171.761358750761
367321007.49617940853-275.496179408532
37657722.310437860598-65.3104378605984
381419713.109341221742705.890658778258
39989882.601833249775106.398166750225
40821831.415365596305-10.4153655963048
4117401907.60530244396-167.605302443964
42815739.80012027440675.1998797255943
43760734.41617047456425.5838295254363
44936729.284709842033206.715290157967
45863667.718509057974195.281490942026
46783942.240759548306-159.240759548306
47715698.31737186705716.6826281329432
481504998.258650167046505.741349832954
4913241060.79933102286263.200668977144
509401100.34943462162-160.349434621625


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.1738716613988890.3477433227977780.826128338601111
110.08640117400924840.1728023480184970.913598825990752
120.04760462553929660.09520925107859320.952395374460703
130.01883209312138550.0376641862427710.981167906878615
140.009272674708369590.01854534941673920.99072732529163
150.003411915052905320.006823830105810640.996588084947095
160.002942143669074810.005884287338149620.997057856330925
170.001368665819555210.002737331639110430.998631334180445
180.01024081622839030.02048163245678050.98975918377161
190.007752072073597570.01550414414719510.992247927926402
200.004615961521419620.009231923042839240.99538403847858
210.004402258778654590.008804517557309190.995597741221345
220.004700534951729110.009401069903458210.995299465048271
230.002829602240332550.005659204480665110.997170397759667
240.002130113914208950.00426022782841790.997869886085791
250.005932477800879250.01186495560175850.994067522199121
260.00494122820818320.00988245641636640.995058771791817
270.005944418980849760.01188883796169950.99405558101915
280.00524356943916570.01048713887833140.994756430560834
290.006034407705798410.01206881541159680.993965592294202
300.004476432674434190.008952865348868380.995523567325566
310.003798981289165910.007597962578331830.996201018710834
320.003583901136908920.007167802273817830.996416098863091
330.00269125148438370.005382502968767390.997308748515616
340.003253676183888380.006507352367776760.996746323816112
350.002143465229831360.004286930459662720.997856534770169
360.005679242038402930.01135848407680590.994320757961597
370.002472644190714490.004945288381428980.997527355809286
380.2768286555120830.5536573110241660.723171344487917
390.1734969728385680.3469939456771360.826503027161432
400.09715951689546650.1943190337909330.902840483104534


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level160.516129032258065NOK
5% type I error level250.806451612903226NOK
10% type I error level260.838709677419355NOK