Multiple Linear Regression - Estimated Regression Equation
Y_t[t] = -89.6891180238859 + 3.59651887486461X_1t[t] + 2.37021038110237X_2t[t] + 5.44135963369232X_3t[t] + 0.00591219333900918X_4t[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-89.689118023885952.953339-1.69370.0958710.047935
X_1t3.596518874864611.3231992.7180.0087240.004362
X_2t2.370210381102370.18140113.066200
X_3t5.441359633692324.3795631.24240.2192510.109625
X_4t0.005912193339009180.001583.74240.0004310.000216


Multiple Linear Regression - Regression Statistics
Multiple R0.968690949788983
R-squared0.938362156203082
Adjusted R-squared0.933959453074731
F-TEST (value)213.133188599632
F-TEST (DF numerator)4
F-TEST (DF denominator)56
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation134.133896924977
Sum Squared Residuals1007546.5290397


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1888788.87564041692799.124359583073
2545518.04650150502426.9534984949757
3186145.77948064738840.2205193526118
414051184.79265696547220.207343034528
520472131.96651072686-84.9665107268596
636263243.79944512835382.200554871646
7845877.113145846706-32.1131458467056
8643544.96962060588198.0303793941189
91181961.490603330726219.509396669274
1018351844.56116758303-9.5611675830259
11855822.01122672757832.9887732724223
1212451226.4591628284518.5408371715509
139931130.01780490089-137.017804900889
1416851626.8886964405658.1113035594365
15741672.14691650618368.8530834938174
16854992.657346133017-138.657346133017
17949884.2875101793564.7124898206505
18331253.63571165972977.3642883402714
1916021532.2871677526969.7128322473136
20510579.729050434491-69.7290504344912
21628710.364913675344-82.3649136753443
2212791261.5768555686417.4231444313623
23767789.002222577232-22.002222577232
241156962.05548381225193.94451618775
2511201104.9524954129315.0475045870734
26622607.67280765552814.3271923444718
2712031426.37757866215-223.37757866215
28745729.45697369105315.5430263089466
2915351808.97929812799-273.979298127991
3012341308.81196583205-74.8119658320462
31757695.40909508397261.5909049160275
321087984.66013753379102.33986246621
3311051076.7453562793528.2546437206545
34592648.105538134705-56.1055381347052
3513051212.6540644463292.3459355536806
360-89.689118023885789.6891180238857
37705911.968400535432-206.968400535432
3811881030.30497901107157.695020988932
391110775.74534963048334.25465036952
4010941280.38893540694-186.388935406937
411062993.90897984176368.0910201582373
42748894.4693414455-146.4693414455
43404471.080581066455-67.0805810664555
4410761317.46118203244-241.461182032444
45673782.555637985802-109.555637985802
46517563.92641264538-46.9264126453801
47354322.23805453099231.761945469008
4810111115.66988082146-104.669880821457
49890961.245898148005-71.2458981480055
5010671139.14521358952-72.1452135895166
51518488.4858164651229.5141835348797
52697599.06786853113597.932131468865
5310951319.71195502594-224.711955025942
549281023.51825326533-95.5182532653346
5510081088.87613322426-80.8761332242627
56951838.049733844114112.950266155886
57779726.81185530683352.1881446931671
58439409.79540678014929.2045932198515
59568665.987507612998-97.9875076129979
60614723.132556284139-109.132556284139
61499453.80303218003645.1969678199643


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.03561565968010110.07123131936020230.964384340319899
90.5903940397025870.8192119205948260.409605960297413
100.4487275725110650.8974551450221310.551272427488935
110.3332008550836770.6664017101673540.666799144916323
120.2752493652678250.5504987305356490.724750634732175
130.4264558734170120.8529117468340240.573544126582988
140.4224263239698230.8448526479396470.577573676030177
150.3269214066240030.6538428132480050.673078593375997
160.5478688206128480.9042623587743040.452131179387152
170.5595073993960220.8809852012079570.440492600603978
180.4878378786736210.9756757573472430.512162121326379
190.4479466908870180.8958933817740360.552053309112982
200.4817647835653390.9635295671306780.518235216434661
210.4665207128673490.9330414257346980.533479287132651
220.4817810624197520.9635621248395040.518218937580248
230.4031730636765760.8063461273531530.596826936323424
240.6009791404218020.7980417191563950.399020859578197
250.5259014287771530.9481971424456930.474098571222847
260.4489816951767030.8979633903534070.551018304823297
270.5977337267103810.8045325465792390.402266273289619
280.5343679244400230.9312641511199530.465632075559977
290.8288634686111020.3422730627777960.171136531388898
300.8030347330250280.3939305339499430.196965266974972
310.7526988725576070.4946022548847850.247301127442393
320.711069501432110.577860997135780.28893049856789
330.6911888497551870.6176223004896250.308811150244813
340.6294662419380720.7410675161238570.370533758061928
350.6000555318894960.7998889362210070.399944468110504
360.5516345340504470.8967309318991070.448365465949553
370.6702867439331460.6594265121337080.329713256066854
380.7452537797614860.5094924404770280.254746220238514
390.9992382918390440.001523416321912990.000761708160956495
400.9997554479523190.0004891040953622590.000244552047681129
410.9998643692584970.0002712614830066390.00013563074150332
420.9999549935108759.00129782506557e-054.50064891253278e-05
430.9999321784269360.0001356431461270436.78215730635216e-05
440.99987252794740.0002549441052009930.000127472052600496
450.9996429584485540.0007140831028929940.000357041551446497
460.9993919399643260.001216120071347950.000608060035673976
470.9986796744743320.002640651051335610.00132032552566781
480.996758506556060.006482986887879290.00324149344393964
490.9952315112741770.009536977451645870.00476848872582294
500.988555719505550.02288856098889960.0114442804944498
510.9685531433419360.06289371331612780.0314468566580639
520.9351892400643540.1296215198712910.0648107599356455
530.9665012755007060.06699744899858780.0334987244992939


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level110.239130434782609NOK
5% type I error level120.260869565217391NOK
10% type I error level150.326086956521739NOK