Multiple Linear Regression - Estimated Regression Equation
Oogst[t] = + 480.323517589994 -0.283056439759079Mest[t] + 19.148099294534t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)480.32351758999418.8508425.480200
Mest-0.2830564397590790.356195-0.79470.4287470.214374
t19.14809929453417.7962761.0760.2846140.142307


Multiple Linear Regression - Regression Statistics
Multiple R0.972400197415428
R-squared0.945562143933564
Adjusted R-squared0.944439713911576
F-TEST (value)842.424138173457
F-TEST (DF numerator)2
F-TEST (DF denominator)97
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation35.2133274168205
Sum Squared Residuals120277.907493128


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1458.15499.471616884528-41.3216168845279
2477.59504.466894191108-26.876894191108
3504.91509.462171497689-4.5521714976885
4502.61514.457448804269-11.8474488042686
5514.12519.452726110849-5.33272611084853
6512.64524.448003417429-11.8080034174286
7546.06529.44328072400916.6167192759913
8525.26534.438558030589-9.17855803058873
9571.2539.43383533716931.7661646628313
10551.22544.4291126437496.79088735625124
11604.26549.42438995032954.8356100496711
12510.28554.419667256909-44.1396672569089
13574.91559.41494456348915.4950554365111
14580.8564.41022187006916.389778129931
15527.33569.405499176649-42.0754991766489
16571.37574.400776483229-3.03077648322903
17587.97579.3960537898098.57394621019093
18557.65584.391331096389-26.7413310963892
19619.61589.38660840296930.2233915970308
20631.11594.38188570954936.7281142904508
21583.14599.377163016129-16.2371630161293
22589.4604.372440322709-14.9724403227094
23603.19609.367717629289-6.17771762928936
24642.68614.36299493586928.3170050641305
25615.91619.35827224245-3.44827224244957
26650.56624.3535495490326.2064504509703
27607.41629.34882685561-21.9388268556097
28673.46634.3441041621939.1158958378103
29680.11639.3393814687740.7706185312303
30665.89644.3346587753521.5553412246502
31711.79649.3299360819362.4600639180701
32636.29654.32521338851-18.03521338851
33580.08659.32049069509-79.24049069509
34595.64664.31576800167-68.6757680016701
35661.8669.31104530825-7.51104530825015
36657.74674.30632261483-16.5663226148301
37646.05679.30159992141-33.2515999214103
38706.03684.2968772279921.7331227720097
39712.38689.2921545345723.0878454654297
40718.78694.2874318411524.4925681588496
41699.49699.282709147730.207290852269607
42635.36704.277986454311-68.9179864543105
43682.09709.27326376089-27.1832637608905
44722.7714.2685410674718.43145893252949
45731.22719.26381837405111.9561816259494
46763.95724.25909568063139.6909043193694
47739.86729.25437298721110.6056270127893
48744.88734.24965029379110.6303497062092
49746.73739.2449276003717.4850723996292
50821.77744.24020490695177.5297950930491
51752.76749.2354822135313.52451778646907
52733.8754.230759520111-20.430759520111
53735.91759.226036826691-23.3160368266911
54783.64764.22131413327119.4186858667289
55711.28769.216591439851-57.9365914398512
56764.41774.211868746431-9.80186874643124
57833.71779.20714605301154.5028539469888
58827.09784.20242335959142.8875766404087
59766.46789.197700666171-22.7377006661713
60748.42794.192977972751-45.7729779727515
61870.61799.18825527933271.4217447206685
62854.52804.18353258591250.3364674140884
63858.34809.17880989249249.1611901075085
64787.99814.174087199072-26.1840871990716
65834.26819.16936450565215.0906354943483
66827.86824.1646418122323.69535818776827
67771.05829.159919118812-58.1099191188118
68806.2834.155196425392-27.9551964253918
69873.4839.15047373197234.2495262680281
70792.56844.145751038552-51.5857510385519
71855.02849.1410283451325.87897165486804
72794.63854.136305651712-59.506305651712
73861.6859.1315829582922.46841704170795
74859.6864.126860264872-4.52686026487211
75856.97869.122137571452-12.1521375714522
76905.18874.11741487803231.0625851219678
77933879.11269218461253.8873078153877
78838.89884.107969491192-45.2179694911923
79903.42889.10324679777214.3167532022275
80889.5894.098524104352-4.59852410435251
81914.18899.09380141093315.0861985890674
82863.96904.089078717513-40.1290787175125
83937.39937.390000000001-6.36055444425132e-13
84948.76914.07963333067334.6803666693272
85900.66919.074910637253-18.4149106372527
86947.49924.07018794383323.4198120561672
87904.22929.065465250413-24.8454652504129
88861.64934.060742556993-72.420742556993
89918.5939.056019863573-20.5560198635731
90906.68944.051297170153-37.3712971701532
91966.54949.04657447673317.4934255232668
92997.92954.04185178331343.8781482166868
93965.9959.0371290898936.86287091010677
94969.3964.0324063964735.26759360352668
95904.8969.027683703053-64.2276837030534
96957.8974.022961009633-16.2229610096334
971026.98979.01823831621347.9617616837866
981048.42984.01351562279464.4064843772065
99953.19989.008792929374-35.8187929293735
1001020.25994.00407023595426.2459297640464


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.04738934649095150.0947786929819030.952610653509048
70.01820673607123550.0364134721424710.981793263928765
80.01767213605015890.03534427210031790.982327863949841
90.01142881606786640.02285763213573280.988571183932134
100.006646897661757730.01329379532351550.993353102338242
110.008965525424998930.01793105084999790.991034474575001
120.2130440889777370.4260881779554740.786955911022263
130.1448721010612380.2897442021224770.855127898938762
140.09529464478634530.1905892895726910.904705355213655
150.2136970708307530.4273941416615060.786302929169247
160.1581692849794790.3163385699589570.841830715020521
170.1096917196137720.2193834392275440.890308280386228
180.1096561888573410.2193123777146820.890343811142659
190.09417485505742490.188349710114850.905825144942575
200.082573208455960.165146416911920.91742679154404
210.07569713530767290.1513942706153460.924302864692327
220.06322529426431440.1264505885286290.936774705735686
230.04513080377557350.0902616075511470.954869196224426
240.03578311364164480.07156622728328960.964216886358355
250.02485526189810070.04971052379620150.975144738101899
260.01814848261671040.03629696523342090.98185151738329
270.01797393280278130.03594786560556270.982026067197219
280.01723199513242920.03446399026485830.982768004867571
290.01585921433903670.03171842867807350.984140785660963
300.01056643382833250.02113286765666510.989433566171667
310.01731238985388730.03462477970777460.982687610146113
320.02069077083631810.04138154167263620.979309229163682
330.1649436025047240.3298872050094480.835056397495276
340.3313611316702690.6627222633405380.668638868329731
350.2800034997931350.5600069995862690.719996500206865
360.2419973323459940.4839946646919870.758002667654006
370.2368328036416090.4736656072832190.763167196358391
380.209210100282570.418420200565140.79078989971743
390.1833555264284260.3667110528568520.816644473571574
400.159825428726810.319650857453620.84017457127319
410.1257749487956910.2515498975913820.874225051204309
420.2441250116931470.4882500233862930.755874988306853
430.2270389157970720.4540778315941450.772961084202928
440.1882514277133490.3765028554266990.811748572286651
450.1552102609995950.310420521999190.844789739000405
460.1606751179423320.3213502358846630.839324882057668
470.1287661240349470.2575322480698940.871233875965053
480.1014271134476770.2028542268953540.898572886552323
490.07790206012026750.1558041202405350.922097939879733
500.174983515461870.349967030923740.82501648453813
510.1402907294347080.2805814588694160.859709270565292
520.123887413249050.2477748264981010.87611258675095
530.1113449574920580.2226899149841170.888655042507942
540.09068352383159930.1813670476631990.909316476168401
550.1455872070989730.2911744141979460.854412792901027
560.1184940229662030.2369880459324050.881505977033797
570.150854032294790.301708064589580.84914596770521
580.1595134986976220.3190269973952430.840486501302378
590.1419125897054740.2838251794109480.858087410294526
600.1703505786353080.3407011572706170.829649421364692
610.288609176891370.5772183537827410.71139082310863
620.3417532995675860.6835065991351720.658246700432414
630.4123089656516250.824617931303250.587691034348375
640.3821158934873580.7642317869747160.617884106512642
650.3493736470616510.6987472941233010.650626352938349
660.3057114905727190.6114229811454370.694288509427281
670.3727437486888620.7454874973777240.627256251311138
680.3406306171785460.6812612343570930.659369382821454
690.3572625012113220.7145250024226450.642737498788678
700.395172384666980.790344769333960.60482761533302
710.3412859067080.6825718134160010.658714093292
720.4274404860456860.8548809720913710.572559513954314
730.3639301106161170.7278602212322330.636069889383883
740.3030852710326250.606170542065250.696914728967375
750.251403679056380.502807358112760.74859632094362
760.2405541301229390.4811082602458780.759445869877061
770.3527088027754910.7054176055509830.647291197224509
780.3508368226834980.7016736453669970.649163177316502
790.312931213154930.625862426309860.68706878684507
800.2541641768370560.5083283536741110.745835823162944
810.2351426390257330.4702852780514670.764857360974267
820.2071404656753040.4142809313506090.792859534324696
830.1550726280863120.3101452561726240.844927371913688
840.1943147915782970.3886295831565940.805685208421703
850.1448998566890670.2897997133781340.855100143310933
860.1757108845785670.3514217691571340.824289115421433
870.1288532399127530.2577064798255060.871146760087247
880.1797395845834850.359479169166970.820260415416515
890.1272017481524080.2544034963048160.872798251847592
900.1230038032405780.2460076064811560.876996196759422
910.07873334734743760.1574666946948750.921266652652562
920.09090334143958830.1818066828791770.909096658560412
930.0587043778090260.1174087556180520.941295622190974
940.03852329048386790.07704658096773580.961476709516132


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level130.146067415730337NOK
10% type I error level170.191011235955056NOK