Multiple Linear Regression - Estimated Regression Equation
uitvoer[t] = + 461.716906481099 + 0.960377566411468invoer[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)461.716906481099876.9620530.52650.600740.30037
invoer0.9603775664114680.04989219.24900


Multiple Linear Regression - Regression Statistics
Multiple R0.935339000010779
R-squared0.874859044941164
Adjusted R-squared0.872497894845714
F-TEST (value)370.522418980113
F-TEST (DF numerator)1
F-TEST (DF denominator)53
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation720.95617923207
Sum Squared Residuals27548224.0557639


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
116198.916688.4483440825-489.548344082513
216554.216498.101510419856.098489580217
319554.219373.0877932291181.112206770855
415903.815761.2038037123142.596196287739
518003.817215.1194015026788.68059849742
618329.617459.8236054242869.776394575775
716260.715049.6600647581211.03993524200
814851.915513.4263915781-661.526391578102
918174.116961.77179948321212.32820051676
1018406.617426.6905793830979.90942061697
1118466.517616.8453375325849.654662467501
1216016.515983.627248093232.8727519068451
1317428.517233.3665752644195.133424735603
1417167.216569.2654880909597.934511909133
151963018811.5550301484818.444969851636
1617183.616520.4783077172663.121692282833
1718344.717903.4220033497441.277996650322
1819301.418238.20962300071063.19037699928
1918147.517559.0306080345588.469391965472
2016192.916221.4167335366-28.5167335366368
2118374.417717.4929064924656.907093507582
2220515.219944.5124452440570.687554756031
2318957.219224.9015347319-267.701534731857
2416471.517769.5453705919-1298.04537059192
2518746.819855.8695958642-1109.06959586419
2619009.518756.5253955930252.974604407016
2719211.219904.2726252113-693.07262521133
2820547.721084.1925033045-536.492503304458
2919325.819355.8009970337-30.0009970337406
3020605.520680.737887655-75.2378876550021
3120056.919822.4484565531234.451543446928
3216141.417944.0459744089-1802.64597440888
3320359.820907.6751065980-547.875106598032
3419711.620084.4394566701-372.839456670122
3515638.616961.3876484567-1322.78764845667
3614384.515651.816798898-1267.31679889799
3713855.614936.3355119215-1080.73551192145
3814308.314407.4555860987-99.1555860986566
3915290.615509.6809190691-219.080919069096
4014423.814240.1578140298183.642185970222
4113779.713792.7179058387-13.0179058386743
4215686.315314.8203108442371.47968915579
4314733.814135.7647725609598.035227439148
4412522.513482.2278386178-959.727838617849
4516189.415950.3021465387239.097853461322
4616059.116590.2017190386-531.10171903864
4716007.115841.2032549943165.896745005665
4815806.816661.2696589531-854.46965895309
491516015841.7794815342-681.779481534182
5015692.115711.1681325022-19.0681325022223
5118908.918387.0681457945521.831854205506
5216969.917712.4989431471-742.598943147078
5316997.517107.6531518211-110.153151821138
5419858.919229.5113470506629.38865294937
5517681.216983.6684079974697.531592002585


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.3011147424946140.6022294849892290.698885257505386
60.3011815891342820.6023631782685630.698818410865718
70.4054231936837770.8108463873675550.594576806316223
80.5308492785136390.9383014429727210.469150721486361
90.6066603339741680.7866793320516650.393339666025832
100.5836621595931270.8326756808137460.416337840406873
110.5286431741622790.9427136516754420.471356825837721
120.4448271205957380.8896542411914760.555172879404262
130.3618900526919980.7237801053839960.638109947308002
140.2983019588262060.5966039176524130.701698041173794
150.2554002036353510.5108004072707020.744599796364649
160.2163424919787300.4326849839574610.78365750802127
170.1681446172666590.3362892345333180.83185538273334
180.1884482453880370.3768964907760730.811551754611963
190.1575737919804760.3151475839609520.842426208019524
200.1273439879654590.2546879759309170.872656012034541
210.1123359099252150.2246718198504310.887664090074785
220.1048429954252330.2096859908504650.895157004574767
230.1344200357788570.2688400715577140.865579964221143
240.4515680390328220.9031360780656450.548431960967178
250.6266489555956240.7467020888087520.373351044404376
260.5727040230046590.8545919539906830.427295976995341
270.5640603061010670.8718793877978660.435939693898933
280.5060667225685360.9878665548629270.493933277431464
290.4304842501546170.8609685003092330.569515749845383
300.3562714119084970.7125428238169940.643728588091503
310.3130865799137090.6261731598274190.686913420086291
320.7329999478105630.5340001043788750.267000052189437
330.6844636674785960.6310726650428080.315536332521404
340.6232499834360520.7535000331278970.376750016563948
350.8168194377405050.3663611245189910.183180562259495
360.9221719000022210.1556561999955580.077828099997779
370.957486082970130.08502783405974050.0425139170298703
380.9326580802623020.1346838394753950.0673419197376977
390.8991685597008550.201662880598290.100831440299145
400.8625559454465110.2748881091069770.137444054553489
410.8092995737984660.3814008524030680.190700426201534
420.7784982357227320.4430035285545370.221501764277268
430.876507411981310.2469851760373810.123492588018690
440.8371891015468140.3256217969063730.162810898453186
450.804127690551860.3917446188962780.195872309448139
460.7424854168440920.5150291663118160.257514583155908
470.6947217620340930.6105564759318140.305278237965907
480.7055147375295650.588970524940870.294485262470435
490.6381286959292520.7237426081414970.361871304070748
500.4695687528268790.9391375056537580.530431247173121


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level10.0217391304347826OK