Multiple Linear Regression - Estimated Regression Equation

Ha[t] = + 20.6116433791875 + 0.0922363853607814PE[t] -0.121308271780651PC[t] -0.406200063771142De[t] -0.153397692032067DM[t] + 0.108700153383175DV[t] -0.98972587899186Geslacht[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)	20.6116433791875	1.271197	16.2144	0	0
PE	0.0922363853607814	0.059039	1.5623	0.120559	0.060279
PC	-0.121308271780651	0.075033	-1.6167	0.108269	0.054135
De	-0.406200063771142	0.051139	-7.943	0	0
DM	-0.153397692032067	0.176284	-0.8702	0.385751	0.192876
DV	0.108700153383175	0.145222	0.7485	0.455454	0.227727
Geslacht	-0.98972587899186	0.352609	-2.8069	0.005744	0.002872

Multiple Linear Regression - Regression Statistics
Multiple R	0.600441188248882
R-squared	0.360529620545729
Adjusted R-squared	0.332108714792206
F-TEST (value)	12.685367020755
F-TEST (DF numerator)	6
F-TEST (DF denominator)	135
p-value	2.54611887129386e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	1.93658428066618
Sum Squared Residuals	506.298421276653

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	15	15.4493119329308	-0.449311932930813
2	9	11.5140593109445	-2.51405931094449
3	12	13.0884794112542	-1.08847941125417
4	16	14.9787886526814	1.02121134731861
5	16	13.9566995176226	2.04330048237741
6	15	14.4883904634822	0.511609536517817
7	16	15.2540898601059	0.745910139894052
8	13	11.6166577502516	1.38334224974841
9	18	14.5857919509196	3.41420804908043
10	17	13.9747474600713	3.02525253992869
11	14	13.1679314524489	0.832068547551073
12	13	16.4885585758299	-3.48855857582992
13	15	15.2530755185440	-0.253075518544029
14	15	12.8396834240543	2.16031657594565
15	13	12.2683156656470	0.731684334352964
16	13	15.4064732105761	-2.40647321057609
17	16	15.2056351680382	0.794364831961761
18	14	16.1663137653053	-2.16631376530531
19	18	15.6306227938454	2.36937720615462
20	16	14.6973334123657	1.30266658763426
21	17	14.9732965899219	2.02670341007810
22	15	13.9902746160942	1.00972538390576
23	11	14.1320530404365	-3.13205304043653
24	11	13.6433310828241	-2.64333108282407
25	15	16.0323973751272	-1.03239737512719
26	15	15.9577898342651	-0.957789834265056
27	12	13.7581852690983	-1.75818526909834
28	17	15.4252607726121	1.57473922738791
29	14	13.5214275674316	0.478572432568422
30	17	14.6376055452064	2.36239445479355
31	10	9.48183362813846	0.51816637186154
32	15	14.2066605812987	0.793339418701334
33	7	11.0712000485640	-4.07120004856396
34	9	16.2138526120172	-7.2138526120172
35	14	14.5429468696260	-0.542946869625965
36	11	12.8754522681621	-1.87545226816213
37	15	15.2671169963467	-0.26711699634672
38	16	14.4202052384401	1.5797947615599
39	17	15.4561914753262	1.54380852467384
40	15	13.7706948912897	1.22930510871029
41	15	15.8874570409779	-0.887457040977917
42	16	15.6907697589547	0.309230241045258
43	16	16.1131907185667	-0.113190718566750
44	12	14.0491121287519	-2.04911212875192
45	15	15.2490691340048	-0.249069134004775
46	17	15.9951428527992	1.00485714720083
47	19	14.8530548984114	4.14694510158859
48	15	14.7469532610165	0.253046738983518
49	14	14.1327467802545	-0.132746780254479
50	16	11.1588347256669	4.84116527433314
51	15	14.5929080065576	0.407091993442444
52	12	14.6341689134248	-2.63416891342483
53	18	14.5837887586499	3.41621124135006
54	13	15.1112970942017	-2.11129709420173
55	14	14.0140051746690	-0.0140051746689567
56	15	14.6441119495279	0.355888050472148
57	11	14.6730076101792	-3.67300761017917
58	15	14.9558962099000	0.0441037900999627
59	14	13.4283530662774	0.571646933722574
60	16	15.1112970942017	0.88870290579827
61	14	11.7331422883433	2.26685771165673
62	18	16.1320767768088	1.86792322319115
63	14	15.2220004398545	-1.22200043985453
64	13	12.7536264823321	0.246373517667913
65	14	15.1112970942017	-1.11129709420173
66	17	15.7735599357250	1.22644006427498
67	12	13.8017495009573	-1.80174950095731
68	16	14.0674028632754	1.93259713672461
69	15	15.2122336295201	-0.212233629520055
70	16	15.5700567307859	0.429943269214065
71	14	14.2439151036267	-0.243915103626682
72	17	15.6901999260903	1.30980007390967
73	14	14.8983222699247	-0.89832226992471
74	16	13.5787332244779	2.42126677552206
75	12	14.9057906969930	-2.90579069699302
76	13	13.3751777808306	-0.375177780830625
77	19	16.0078287007591	2.99217129924090
78	11	12.7663330969357	-1.76633309693566
79	15	13.9892602745323	1.01073972546768
80	12	13.2938414324875	-1.29384143248746
81	14	14.4961540815470	-0.496154081547034
82	11	13.4459819107761	-2.44598191077607
83	15	14.4120226025320	0.587977397468048
84	12	12.4317230401951	-0.431723040195107
85	14	14.0430770610888	-0.0430770610888261
86	13	16.0105922792596	-3.01059227925965
87	9	10.3053490308667	-1.30534903086673
88	12	12.6945455890623	-0.694545589062288
89	15	14.6362952065956	0.363704793404361
90	17	15.4777672205578	1.52223277944221
91	14	12.9029710238964	1.09702897610355
92	11	9.18600914328489	1.81399085671511
93	13	14.0759370645615	-1.07593706456151
94	10	14.4708847198847	-4.47088471988472
95	12	14.8217823188791	-2.82178231887912
96	15	13.6832817311873	1.31671826881269
97	13	14.4355348936202	-1.43553489362023
98	13	13.8376682739271	-0.837668273927086
99	12	13.0242792956771	-1.02427929567710
100	9	10.1346494550189	-1.13464945501890
101	16	16.2362062656749	-0.236206265674917
102	17	14.2063645842498	2.79363541575023
103	13	14.4564241441320	-1.45642414413195
104	10	12.4626783476043	-2.46267834760426
105	13	13.8260744970915	-0.826074497091531
106	16	15.3610606570350	0.638939342964982
107	15	13.3837786285297	1.61622137147028
108	16	14.8499175932995	1.15008240670048
109	11	13.6138392924018	-2.61383929240178
110	15	14.1162298873647	0.883770112635278
111	17	14.5217680611110	2.47823193888896
112	14	12.9947883914139	1.00521160858607
113	18	15.8221440876328	2.17785591236718
114	14	13.1506082935589	0.849391706441079
115	14	14.2683037192404	-0.268303719240363
116	12	14.0293348298491	-2.02933482984909
117	11	13.2750784751465	-2.27507847514654
118	14	13.4088504893492	0.591149510650755
119	16	12.4594179415912	3.54058205840881
120	17	13.9206346764659	3.07936532353409
121	14	13.3673148605073	0.632685139492674
122	14	13.3091710876676	0.690828912332412
123	12	13.5308983807172	-1.53089838071717
124	12	13.3775006886851	-1.3775006886851
125	11	11.5238048462047	-0.523804846204728
126	15	13.2382429706618	1.76175702933818
127	14	12.6553337542340	1.34466624576603
128	10	11.9193014876419	-1.91930148764192
129	13	13.9370984444883	-0.937098444488308
130	15	14.5518224392997	0.448177560700292
131	15	13.7452811536520	1.25471884634803
132	16	14.1929183500589	1.80708164994107
133	8	10.3685135298076	-2.36851352980764
134	9	10.9952821690910	-1.99528216909102
135	15	14.3107377513497	0.689262248650278
136	11	12.9539987410982	-1.95399874109819
137	15	15.1765878863135	-0.176587886313455
138	16	14.6653670930155	1.33463290698449
139	16	13.7229585437350	2.27704145626497
140	15	12.8710578294136	2.12894217058642
141	13	14.4708847198847	-1.47088471988472
142	15	15.0654654427106	-0.0654654427105774

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
10	0.819993140975346	0.360013718049307	0.180006859024654
11	0.764685943793288	0.470628112413425	0.235314056206712
12	0.915189372684317	0.169621254631365	0.0848106273156826
13	0.869782340878511	0.260435318242978	0.130217659121489
14	0.80888469706828	0.382230605863439	0.191115302931719
15	0.739204828961177	0.521590342077646	0.260795171038823
16	0.778304520120106	0.443390959759787	0.221695479879894
17	0.703690144530546	0.592619710938908	0.296309855469454
18	0.676050616807482	0.647898766385035	0.323949383192518
19	0.679117931657999	0.641764136684002	0.320882068342001
20	0.685598801221023	0.628802397557955	0.314401198778977
21	0.71633708396797	0.56732583206406	0.28366291603203
22	0.649479703068981	0.701040593862038	0.350520296931019
23	0.772536811580957	0.454926376838087	0.227463188419043
24	0.802156242871797	0.395687514256405	0.197843757128203
25	0.751275938883851	0.497448122232298	0.248724061116149
26	0.694604674616533	0.610790650766934	0.305395325383467
27	0.740188879708788	0.519622240582423	0.259811120291212
28	0.744887499698441	0.510225000603117	0.255112500301559
29	0.689701224737849	0.620597550524303	0.310298775262151
30	0.693714604249984	0.612570791500032	0.306285395750016
31	0.65388799436874	0.69222401126252	0.34611200563126
32	0.60117968762429	0.797640624751421	0.398820312375710
33	0.796350199918158	0.407299600163683	0.203649800081842
34	0.992787777772855	0.0144244444542903	0.00721222222714517
35	0.989506199992083	0.0209876000158342	0.0104938000079171
36	0.988761608949256	0.0224767821014889	0.0112383910507445
37	0.98388592404454	0.0322281519109216	0.0161140759554608
38	0.98159457173855	0.0368108565229014	0.0184054282614507
39	0.978016087131857	0.0439678257362855	0.0219839128681428
40	0.972441493229139	0.0551170135417224	0.0275585067708612
41	0.963904020453423	0.072191959093154	0.036095979546577
42	0.951678272354717	0.0966434552905661	0.0483217276452831
43	0.93637951379098	0.127240972418039	0.0636204862090193
44	0.93307611193044	0.133847776139121	0.0669238880695607
45	0.914504868933692	0.170990262132615	0.0854951310663077
46	0.899264546705053	0.201470906589893	0.100735453294947
47	0.955181095941672	0.0896378081166554	0.0448189040583277
48	0.9413764886978	0.117247022604399	0.0586235113021997
49	0.924312143428659	0.151375713142682	0.0756878565713411
50	0.980708664886307	0.038582670227386	0.019291335113693
51	0.97420655131252	0.0515868973749599	0.0257934486874799
52	0.9787911461042	0.042417707791599	0.0212088538957995
53	0.988651426121447	0.0226971477571062	0.0113485738785531
54	0.988976528129713	0.0220469437405730	0.0110234718702865
55	0.984734808796393	0.0305303824072132	0.0152651912036066
56	0.979314378096749	0.0413712438065028	0.0206856219032514
57	0.990722241564786	0.0185555168704275	0.00927775843521373
58	0.987050235653956	0.0258995286920877	0.0129497643460439
59	0.982706931936772	0.0345861361264564	0.0172930680632282
60	0.97792298853944	0.0441540229211212	0.0220770114605606
61	0.980560936809389	0.0388781263812226	0.0194390631906113
62	0.980231332971776	0.0395373340564487	0.0197686670282243
63	0.975754591678643	0.0484908166427132	0.0242454083213566
64	0.968075736741943	0.0638485265161132	0.0319242632580566
65	0.961175206050035	0.0776495878999303	0.0388247939499652
66	0.954308999364696	0.0913820012706085	0.0456910006353043
67	0.948588879015504	0.102822241968992	0.051411120984496
68	0.951251459811476	0.0974970803770482	0.0487485401885241
69	0.937171707155841	0.125656585688317	0.0628282928441587
70	0.922088381251404	0.155823237497192	0.0779116187485962
71	0.902110912641216	0.195778174717567	0.0978890873587837
72	0.895021822035629	0.209956355928742	0.104978177964371
73	0.87627965444001	0.247440691119980	0.123720345559990
74	0.899746955200468	0.200506089599063	0.100253044799532
75	0.915919423046853	0.168161153906294	0.0840805769531472
76	0.896365276908167	0.207269446183666	0.103634723091833
77	0.930776686785453	0.138446626429094	0.0692233132145468
78	0.92377771987421	0.152444560251580	0.0762222801257899
79	0.915860664207275	0.16827867158545	0.084139335792725
80	0.900873012341182	0.198253975317637	0.0991269876588184
81	0.878493079409112	0.243013841181775	0.121506920590888
82	0.879651067145173	0.240697865709654	0.120348932854827
83	0.863035896776579	0.273928206446842	0.136964103223421
84	0.84528849887592	0.309423002248161	0.154711501124081
85	0.848293756330775	0.303412487338451	0.151706243669225
86	0.838508714426038	0.322982571147923	0.161491285573962
87	0.805607305107952	0.388785389784097	0.194392694892048
88	0.775616410244204	0.448767179511593	0.224383589755796
89	0.74227896981148	0.51544206037704	0.25772103018852
90	0.726235176046529	0.547529647906942	0.273764823953471
91	0.69596619187901	0.608067616241979	0.304033808120989
92	0.714580093972935	0.570839812054131	0.285419906027065
93	0.694787749964385	0.61042450007123	0.305212250035615
94	0.86732942346801	0.265341153063979	0.132670576531989
95	0.912091764176052	0.175816471647895	0.0879082358239476
96	0.903419606146111	0.193160787707778	0.096580393853889
97	0.900944610548836	0.198110778902327	0.0990553894511636
98	0.875300379613685	0.249399240772631	0.124699620386315
99	0.850599283890285	0.29880143221943	0.149400716109715
100	0.822068518274965	0.355862963450070	0.177931481725035
101	0.806849922319794	0.386300155360412	0.193150077680206
102	0.846295105666798	0.307409788666404	0.153704894333202
103	0.850777713029256	0.298444573941489	0.149222286970744
104	0.862296622984455	0.27540675403109	0.137703377015545
105	0.838735968850963	0.322528062298073	0.161264031149037
106	0.808256293133071	0.383487413733858	0.191743706866929
107	0.792112788914092	0.415774422171816	0.207887211085908
108	0.75668429753811	0.48663140492378	0.24331570246189
109	0.795523552951821	0.408952894096357	0.204476447048179
110	0.750648526763773	0.498702946472454	0.249351473236227
111	0.744844519300896	0.510310961398209	0.255155480699104
112	0.705945074205278	0.588109851589443	0.294054925794722
113	0.67442961963316	0.651140760733681	0.325570380366840
114	0.623631443839538	0.752737112320924	0.376368556160462
115	0.569229855611532	0.861540288776935	0.430770144388468
116	0.608537269895157	0.782925460209687	0.391462730104844
117	0.63896773044002	0.72206453911996	0.36103226955998
118	0.572737020052852	0.854525959894296	0.427262979947148
119	0.765787693152645	0.468424613694711	0.234212306847355
120	0.85102677468803	0.29794645062394	0.14897322531197
121	0.803225021031993	0.393549957936013	0.196774978968007
122	0.750593539812435	0.498812920375129	0.249406460187564
123	0.726920096771044	0.546159806457911	0.273079903228956
124	0.694156948550353	0.611686102899294	0.305843051449647
125	0.61569196650106	0.76861606699788	0.38430803349894
126	0.611559284793958	0.776881430412084	0.388440715206042
127	0.574794239309141	0.850411521381717	0.425205760690859
128	0.510420616462203	0.979158767075594	0.489579383537797
129	0.459797529062467	0.919595058124935	0.540202470937533
130	0.342421881518417	0.684843763036833	0.657578118481583
131	0.241342343340833	0.482684686681666	0.758657656659167
132	0.159663248034030	0.319326496068061	0.84033675196597

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	19	0.154471544715447	NOK
10% type I error level	28	0.227642276422764	NOK