Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 3.04790639755097 + 2.37529185907747X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3.047906397550972.8581611.06640.2906680.145334
X2.375291859077470.3967955.986200


Multiple Linear Regression - Regression Statistics
Multiple R0.617973267289145
R-squared0.381890959084021
Adjusted R-squared0.371233906654436
F-TEST (value)35.8345763622055
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value1.43626900372951e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.01145292020237
Sum Squared Residuals234.664685311058


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
125.622.28777045607833.31222954392165
223.721.33765371244752.36234628755254
32220.86259534063201.13740465936803
421.321.10012452653970.19987547346028
520.721.5751828983552-0.875182898355215
620.421.5751828983552-1.17518289835522
720.321.5751828983552-1.27518289835521
820.420.8625953406320-0.462595340631976
919.820.8625953406320-1.06259534063197
1019.519.912478597001-0.412478597000987
1123.120.86259534063202.23740465936803
1223.520.86259534063202.63740465936803
1323.521.10012452653972.39987547346028
1422.921.33765371244751.56234628755253
1521.921.33765371244750.56234628755253
1621.521.8127120842630-0.312712084262963
1720.522.2877704560785-1.78777045607845
1820.222.5252996419862-2.3252996419862
1919.422.5252996419862-3.1252996419862
2019.222.5252996419862-3.3252996419862
2118.821.8127120842630-3.01271208426296
2218.820.3875369688165-1.58753696881648
2322.619.43742022518553.16257977481451
2423.318.72483266746234.57516733253775
252318.962361853374.03763814663
2621.419.43742022518551.96257977481450
2719.919.67494941109320.225050588906757
2818.819.912478597001-1.11247859700099
2918.620.1500077829087-1.55000778290873
3018.419.912478597001-1.51247859700099
3118.619.4374202251855-0.837420225185494
3219.919.67494941109320.225050588906757
3319.219.19989103927770.000108960722252083
3418.418.24977429564680.150225704353237
3521.118.962361853372.13763814663
3620.518.72483266746231.77516733253775
3719.118.24977429564680.85022570435324
3818.118.0122451097390.087754890260988
391717.7747159238313-0.774715923831268
4017.118.4873034815545-1.38730348155451
4117.419.1998910392777-1.79989103927775
4216.819.1998910392777-2.39989103927775
4315.318.2497742956468-2.94977429564676
4414.317.5371867379235-3.23718673792352
4513.416.8245991802003-3.42459918020028
4615.317.5371867379235-2.23718673792352
4722.120.15000778290871.94999221709127
4823.720.38753696881653.31246303118352
4922.219.43742022518552.76257977481450
5019.517.53718673792351.96281326207648
5116.616.8245991802003-0.224599180200279
5217.317.7747159238313-0.474715923831267
5319.819.912478597001-0.112478597000986
5421.221.3376537124475-0.137653712447470
5521.521.8127120842630-0.312712084262963
5620.621.3376537124475-0.737653712447468
5719.120.6250661547242-1.52506615472423
5819.620.8625953406320-1.26259534063197
5923.522.05024127017071.44975872982929
602422.28777045607851.71222954392155


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.4441405837165650.888281167433130.555859416283435
60.5054450923149430.9891098153701140.494554907685057
70.5012809258390520.9974381483218970.498719074160948
80.3692758844680750.7385517689361510.630724115531925
90.2717998232595790.5435996465191580.728200176740421
100.1973001371846280.3946002743692560.802699862815372
110.2335960254017820.4671920508035640.766403974598218
120.2861757041819740.5723514083639480.713824295818026
130.2877623078301120.5755246156602250.712237692169888
140.2304101671784670.4608203343569330.769589832821533
150.1675633705731070.3351267411462130.832436629426893
160.1353356053417680.2706712106835360.864664394658232
170.1611916531018760.3223833062037520.838808346898124
180.1776164293912250.355232858782450.822383570608775
190.2217550617369830.4435101234739660.778244938263017
200.2715426224333190.5430852448666370.728457377566681
210.3539030420206650.707806084041330.646096957979335
220.4046391923349110.8092783846698230.595360807665089
230.4056796021104450.811359204220890.594320397889555
240.5327819936949140.9344360126101720.467218006305086
250.6454536657182170.7090926685635650.354546334281783
260.6317339399199190.7365321201601610.368266060080081
270.612982622168410.7740347556631790.387017377831589
280.6487743295159140.7024513409681710.351225670484086
290.6902323843840120.6195352312319770.309767615615988
300.7251831417712820.5496337164574370.274816858228718
310.7176107880331180.5647784239337630.282389211966882
320.6592936515529350.681412696894130.340706348447065
330.6093973674719960.7812052650560090.390602632528004
340.5758814820413390.8482370359173220.424118517958661
350.5848818752006790.8302362495986420.415118124799321
360.5846159728244760.8307680543510470.415384027175524
370.5616958373136980.8766083253726040.438304162686302
380.5324475066690880.9351049866618250.467552493330912
390.5091920088445660.9816159823108680.490807991155434
400.4802350321882010.9604700643764020.519764967811799
410.4664089296349580.9328178592699160.533591070365042
420.5014955737203180.9970088525593640.498504426279682
430.5784649510121310.8430700979757380.421535048987869
440.6729517479639940.6540965040720110.327048252036006
450.7957931451437170.4084137097125670.204206854856283
460.8467663130908410.3064673738183180.153233686909159
470.825077293796950.3498454124060990.174922706203049
480.9173892510357640.1652214979284720.082610748964236
490.962549771489840.07490045702032010.0374502285101600
500.9836838909807840.03263221803843160.0163161090192158
510.9729640670473180.05407186590536390.0270359329526820
520.9765448704570030.0469102590859940.023455129542997
530.9978712464076350.004257507184729970.00212875359236498
540.9914036802076850.01719263958462940.0085963197923147
550.9943834357750550.01123312844988990.00561656422494494


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.0196078431372549NOK
5% type I error level50.0980392156862745NOK
10% type I error level70.137254901960784NOK