Multiple Linear Regression - Estimated Regression Equation

Sinaasappelen[t] = + 1.24111305125144 + 0.163787344724504Citroenen[t] + 0.375998886979869Bananen[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STAT H0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	1.24111305125144	0.344246	3.6053	0.000689	0.000345
Citroenen	0.163787344724504	0.03753	4.3642	5.9e-05	3e-05
Bananen	0.375998886979869	0.176263	2.1332	0.037559	0.01878

Multiple Linear Regression - Regression Statistics
Multiple R	0.667665185920295
R-squared	0.445776800489982
Adjusted R-squared	0.424862717489604
F-TEST (value)	21.3146710989874
F-TEST (DF numerator)	2
F-TEST (DF denominator)	53
p-value	1.61303793544398e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.102702815808202
Sum Squared Residuals	0.559037023871477

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	2.65	2.55293599547036	0.0970640045296405
2	2.61	2.48972832052443	0.120271679475567
3	2.61	2.46534536633708	0.144654633662923
4	2.47	2.43895424365984	0.0310457563401635
5	2.5	2.41215007959594	0.0878499204040629
6	2.47	2.43865514920585	0.0313448507941529
7	2.37	2.46006145095270	-0.090061450952703
8	2.27	2.37782593779244	-0.107825937792440
9	2.28	2.38207016863755	-0.102070168637548
10	2.25	2.39595649264481	-0.145956492644806
11	2.19	2.43161941344156	-0.241619413441559
12	2.24	2.40887433270145	-0.168874332701447
13	2.3	2.42239036166607	-0.122390361666067
14	2.44	2.38132957855227	0.0586704214477292
15	2.55	2.39570014453484	0.154299855465162
16	2.58	2.36301387617859	0.216986123821414
17	2.5	2.41304736295791	0.0869526370420947
18	2.44	2.38624319889401	0.0537568011059941
19	2.35	2.44774179980404	-0.0977417998040405
20	2.36	2.42719003507513	-0.067190035075132
21	2.44	2.42216246780073	0.0178375321992732
22	2.48	2.46899140827421	0.0110085917257948
23	2.49	2.50417008709565	-0.0141700870956488
24	2.53	2.51582034874768	0.0141796512523161
25	2.6	2.56883048796750	0.0311695120324963
26	2.62	2.62675424752906	-0.00675424752905896
27	2.67	2.59898159951454	0.0710184004854574
28	2.62	2.61085975503192	0.0091402449680828
29	2.56	2.60624522914417	-0.0462452291441715
30	2.53	2.52006457959279	0.00993542040720883
31	2.45	2.51090672840595	-0.0609067284059483
32	2.37	2.47033018726746	-0.100330187267461
33	2.43	2.40827614379347	0.0217238562065319
34	2.46	2.36993566501020	0.0900643349897955
35	2.5	2.34815906822071	0.151840931779290
36	2.46	2.3023698122865	0.157630187713502
37	2.47	2.36070661323471	0.109293386765287
38	2.45	2.35743086634022	0.0925691336597773
39	2.43	2.33699304854398	0.0930069514560157
40	2.41	2.31164161040601	0.0983583895939894
41	2.32	2.31752371469836	0.00247628530163681
42	2.3	2.29660165492682	0.00339834507318392
43	2.27	2.33044155475500	-0.0604415547550042
44	2.23	2.29496378147957	-0.0649637814795709
45	2.3	2.30199951724386	-0.00199951724385990
46	2.3	2.31443311532519	-0.0144331153251924
47	2.25	2.2956331709762	-0.0456331709761988
48	2.22	2.26555326001781	-0.045553260017809
49	2.28	2.31703947272305	-0.0370394727230547
50	2.38	2.3685256854283	0.0114743145717001
51	2.38	2.33353215412818	0.0464678458718248
52	2.37	2.35396997192441	0.0160300280755864
53	2.32	2.33141003870562	-0.0114100387056216
54	2.29	2.31800795667367	-0.0280079566736717
55	2.2	2.35512360339635	-0.155123603396350
56	2.07	2.37477808476329	-0.304778084763291

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
6	0.116340403157543	0.232680806315085	0.883659596842457
7	0.122525034367769	0.245050068735538	0.877474965632231
8	0.461250736037444	0.922501472074887	0.538749263962556
9	0.385629556955933	0.771259113911865	0.614370443044068
10	0.404689325611023	0.809378651222046	0.595310674388977
11	0.795022485136745	0.40995502972651	0.204977514863255
12	0.815844027410272	0.368311945179456	0.184155972589728
13	0.775918334817656	0.448163330364689	0.224081665182344
14	0.851122530181612	0.297754939636776	0.148877469818388
15	0.925407469647426	0.149185060705149	0.0745925303525743
16	0.990395717564307	0.0192085648713865	0.00960428243569323
17	0.98778918730453	0.0244216253909419	0.0122108126954710
18	0.982253038796857	0.0354939224062861	0.0177469612031430
19	0.985563227883052	0.0288735442338957	0.0144367721169478
20	0.97954923085995	0.0409015382801019	0.0204507691400509
21	0.96863318558375	0.0627336288324997	0.0313668144162498
22	0.951877386242202	0.0962452275155955	0.0481226137577977
23	0.9282117173259	0.143576565348201	0.0717882826741004
24	0.896637051865668	0.206725896268663	0.103362948134332
25	0.857448158649904	0.285103682700192	0.142551841350096
26	0.813126373045764	0.373747253908473	0.186873626954236
27	0.781755245595926	0.436489508808149	0.218244754404074
28	0.73230099240676	0.535398015186481	0.267699007593241
29	0.686550126573727	0.626899746852546	0.313449873426273
30	0.622814222441071	0.754371555117857	0.377185777558929
31	0.552355727401126	0.895288545197747	0.447644272598874
32	0.558746532013965	0.88250693597207	0.441253467986035
33	0.528117765657322	0.943764468685357	0.471882234342678
34	0.479674656292547	0.959349312585094	0.520325343707453
35	0.530292034564812	0.939415930870376	0.469707965435188
36	0.679484831121819	0.641030337756362	0.320515168878181
37	0.803495958993771	0.393008082012457	0.196504041006229
38	0.92207054659523	0.155858906809541	0.0779294534047703
39	0.989333462873458	0.0213330742530832	0.0106665371265416
40	0.996333255480342	0.00733348903931571	0.00366674451965786
41	0.992665068376974	0.0146698632460519	0.00733493162302596
42	0.98534184474609	0.0293163105078195	0.0146581552539098
43	0.973585758198045	0.0528284836039097	0.0264142418019548
44	0.976247705723273	0.0475045885534536	0.0237522942767268
45	0.95469316969206	0.0906136606158802	0.0453068303079401
46	0.959851627287966	0.0802967454240682	0.0401483727120341
47	0.934233512017146	0.131532975965709	0.0657664879828545
48	0.886256589370825	0.227486821258351	0.113743410629175
49	0.862444563999364	0.275110872001273	0.137555436000636
50	0.809788899275694	0.380422201448613	0.190211100724306

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	1	0.0222222222222222	NOK
5% type I error level	10	0.222222222222222	NOK
10% type I error level	15	0.333333333333333	NOK