Multiple Linear Regression - Estimated Regression Equation

CorrectAnalysis[t] = + 15.2108021258823 -1.39039157714962Weeks[t] -0.0086431873681781Uselimit[t] + 0.156530152221649T40[t] -0.157197219341272T20[t] + 0.263764402248574Used[t] + 0.040380976993889Useful[t] -0.0357073197745366`Outcome\r\r\r`[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)	15.2108021258823	1.712634	8.8815	0	0
Weeks	-1.39039157714962	0.393317	-3.535	0.000547	0.000273
Uselimit	-0.0086431873681781	0.041496	-0.2083	0.835293	0.417646
T40	0.156530152221649	0.058477	2.6768	0.008284	0.004142
T20	-0.157197219341272	0.0678	-2.3185	0.021808	0.010904
Used	0.263764402248574	0.04481	5.8863	0	0
Useful	0.040380976993889	0.045562	0.8863	0.376919	0.188459
`Outcome\r\r\r`	-0.0357073197745366	0.039538	-0.9031	0.367957	0.183979

Multiple Linear Regression - Regression Statistics
Multiple R	0.53293320401624
R-squared	0.284017799943016
Adjusted R-squared	0.249689886241653
F-TEST (value)	8.27366913159493
F-TEST (DF numerator)	7
F-TEST (DF denominator)	146
p-value	1.74130451169319e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.232942707861295
Sum Squared Residuals	7.92229655127988

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	14	13.9059749687124	0.0940250312875804
2	14	14.0181546137914	-0.0181546137913614
3	14	14.0181546137914	-0.0181546137913596
4	14	14.0181546137914	-0.0181546137913596
5	14	14.0181546137914	-0.0181546137913596
6	14	14.0221241439402	-0.0221241439401854
7	14	14.0181546137914	-0.0181546137913596
8	14	13.8616244615697	0.138375538430289
9	14	14.0538619335659	-0.0538619335658963
10	14	14.0267978011595	-0.0267978011595377
11	14	13.8702676489379	0.129732351062111
12	14	14.0181546137914	-0.0181546137913596
13	14	13.7140092345489	0.285990765451103
14	14	13.8702676489379	0.129732351062111
15	14	13.7497165543234	0.250283445676567
16	14	13.5931864021018	0.406813597898215
17	13	13.5661222696954	-0.566122269695426
18	14	13.8702676489379	0.129732351062111
19	14	14.0538619335659	-0.0538619335658963
20	13	13.5931864021018	-0.593186402101784
21	14	13.9864168241656	0.0135831758343513
22	14	13.7583597416916	0.241640258308389
23	14	14.013480956572	-0.0134809565720072
24	14	14.0221241439402	-0.0221241439401853
25	14	13.6335673790957	0.366432620904326
26	14	13.7140092345489	0.285990765451103
27	14	14.0625051209341	-0.0625051209340744
28	14	13.7543902115428	0.245609788457214
29	14	14.0538619335659	-0.0538619335658963
30	14	13.9777736367975	0.0222263632025294
31	14	14.0181546137914	-0.0181546137913596
32	14	14.0267978011595	-0.0267978011595377
33	14	13.9864168241656	0.0135831758343513
34	14	13.8973317813442	0.102668218655753
35	14	14.0181546137914	-0.0181546137913596
36	14	14.0181546137914	-0.0181546137913596
37	14	13.5661222696954	0.433877730304574
38	14	13.7900975313173	0.209902468682678
39	14	14.013480956572	-0.0134809565720072
40	14	13.8212434845758	0.178756515424178
41	13	13.7497165543234	-0.749716554323433
42	14	13.7900975313173	0.209902468682678
43	14	14.0221241439402	-0.0221241439401853
44	14	13.8702676489379	0.129732351062111
45	14	13.9777736367975	0.0222263632025294
46	14	14.013480956572	-0.0134809565720072
47	14	14.0181546137914	-0.0181546137913596
48	14	14.0538619335659	-0.0538619335658963
49	14	14.013480956572	-0.0134809565720072
50	14	14.0181546137914	-0.0181546137913596
51	14	13.5978600593211	0.402139940678863
52	13	13.5661222696954	-0.566122269695426
53	14	14.0538619335659	-0.0538619335658963
54	13	13.7543902115428	-0.754390211542786
55	14	14.0181546137914	-0.0181546137913596
56	14	13.6335673790957	0.366432620904326
57	14	13.7497165543234	0.250283445676567
58	14	14.0538619335659	-0.0538619335658963
59	14	14.0538619335659	-0.0538619335658963
60	13	13.60182958947	-0.601829589469963
61	14	13.9059749687124	0.0940250312875745
62	14	13.7140092345489	0.285990765451103
63	14	14.0181546137914	-0.0181546137913596
64	14	13.9059749687124	0.0940250312875745
65	14	14.0181546137914	-0.0181546137913596
66	14	14.0181546137914	-0.0181546137913596
67	13	13.5574790823272	-0.557479082327248
68	14	14.0267978011595	-0.0267978011595377
69	14	14.0538619335659	-0.0538619335658963
70	14	13.7543902115428	0.245609788457214
71	14	14.0181546137914	-0.0181546137913596
72	14	14.0538619335659	-0.0538619335658963
73	14	13.7900975313173	0.209902468682678
74	14	13.763033398911	0.236966601089036
75	14	14.0538619335659	-0.0538619335658963
76	14	13.8569508043504	0.143049195649642
77	14	14.0538619335659	-0.0538619335658963
78	14	13.7497165543234	0.250283445676567
79	13	13.6335673790957	-0.633567379095673
80	14	13.8212434845758	0.178756515424178
81	14	14.0181546137914	-0.0181546137913596
82	14	13.7987407186855	0.2012592813145
83	14	14.0181546137914	-0.0181546137913596
84	13	13.7543902115428	-0.754390211542786
85	14	14.013480956572	-0.0134809565720072
86	14	14.0267978011595	-0.0267978011595377
87	14	14.0190748640474	-0.0190748640474062
88	14	13.9125076811401	0.0874923188598962
89	14	13.9747243569047	0.0252756430953085
90	14	14.0104316766792	-0.0104316766792281
91	14	13.9343433799108	0.0656566200891976
92	14	14.1405647636141	-0.140564763614141
93	14	13.942986567279	0.0570134327210195
94	14	13.9747243569047	0.0252756430953085
95	14	14.131921576246	-0.131921576245963
96	14	14.0104316766792	-0.0104316766792281
97	14	14.1405647636141	-0.140564763614141
98	14	13.9747243569047	0.0252756430953085
99	14	13.9833675442729	0.0166324557271304
100	14	14.0104316766792	-0.0104316766792281
101	14	14.0190748640474	-0.0190748640474062
102	14	13.9747243569047	0.0252756430953085
103	14	13.9747243569047	0.0252756430953085
104	14	13.9747243569047	0.0252756430953085
105	14	13.8681571739974	0.131842826002611
106	14	13.9747243569047	0.0252756430953085
107	14	13.9747243569047	0.0252756430953085
108	14	13.8768003613656	0.123199638634433
109	14	13.9747243569047	0.0252756430953085
110	14	13.9833675442729	0.0166324557271304
111	14	13.8364193843717	0.163580615628322
112	14	14.131921576246	-0.131921576245963
113	14	13.7109599546561	0.289040045343883
114	14	13.8768003613656	0.123199638634433
115	14	13.9833675442729	0.0166324557271304
116	14	13.9747243569047	0.0252756430953085
117	14	14.0190748640474	-0.0190748640474062
118	14	13.9833675442729	0.0166324557271304
119	14	13.9747243569047	0.0252756430953085
120	14	14.0104316766792	-0.0104316766792281
121	14	13.9833675442729	0.0166324557271304
122	14	13.9747243569047	0.0252756430953085
123	14	13.8768003613656	0.123199638634433
124	14	13.7062862974368	0.293713702563235
125	14	14.0104316766792	-0.0104316766792281
126	14	14.131921576246	-0.131921576245963
127	14	13.9343433799108	0.0656566200891976
128	14	14.0104316766792	-0.0104316766792281
129	14	13.9747243569047	0.0252756430953085
130	14	14.0104316766792	-0.0104316766792281
131	14	13.9833675442729	0.0166324557271304
132	14	14.0190748640474	-0.0190748640474062
133	14	13.7196031420243	0.280396857975704
134	14	13.9747243569047	0.0252756430953085
135	14	13.9747243569047	0.0252756430953085
136	14	13.9747243569047	0.0252756430953085
137	14	13.7149294848049	0.285070515195057
138	14	13.8721267041462	0.127873295853785
139	14	14.131921576246	-0.131921576245963
140	14	13.9747243569047	0.0252756430953085
141	13	13.7466672744307	-0.746667274430654
142	14	13.9038644937719	0.0961355062280743
143	14	13.9833675442729	0.0166324557271304
144	14	13.9700506996853	0.0299493003146609
145	14	13.9343433799108	0.0656566200891976
146	14	14.1676288960205	-0.1676288960205
147	14	13.8681571739974	0.131842826002611
148	14	14.131921576246	-0.131921576245963
149	14	13.9833675442729	0.0166324557271304
150	14	13.9700506996853	0.0299493003146609
151	14	14.0104316766792	-0.0104316766792281
152	13	13.7196031420243	-0.719603142024296
153	13	13.6792221650304	-0.679222165030407
154	14	13.7196031420243	0.280396857975704

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
11	1.08585294657634e-43	2.17170589315269e-43	1
12	9.25078989797469e-58	1.85015797959494e-57	1
13	5.44348700052474e-73	1.08869740010495e-72	1
14	4.45089465337498e-84	8.90178930674997e-84	1
15	7.44147210883864e-98	1.48829442176773e-97	1
16	0	0	1
17	0.552333381548951	0.895333236902098	0.447666618451049
18	0.498808433646321	0.997616867292643	0.501191566353679
19	0.459033864114809	0.918067728229619	0.54096613588519
20	0.898256713375302	0.203486573249396	0.101743286624698
21	0.85830444302227	0.28339111395546	0.14169555697773
22	0.847336598349764	0.305326803300472	0.152663401650236
23	0.797602175492696	0.404795649014607	0.202397824507304
24	0.741548523781278	0.516902952437445	0.258451476218722
25	0.744544450955449	0.510911098089102	0.255455549044551
26	0.746603618889847	0.506792762220305	0.253396381110153
27	0.709123754864897	0.581752490270206	0.290876245135103
28	0.661619310863189	0.676761378273621	0.338380689136811
29	0.610346232840182	0.779307534319636	0.389653767159818
30	0.552527673486853	0.894944653026294	0.447472326513147
31	0.491098876009824	0.982197752019649	0.508901123990176
32	0.430811172876249	0.861622345752497	0.569188827123751
33	0.373062517470083	0.746125034940166	0.626937482529917
34	0.325647787432567	0.651295574865133	0.674352212567433
35	0.274157524269001	0.548315048538002	0.725842475730999
36	0.227128034335946	0.454256068671892	0.772871965664054
37	0.30786870867963	0.61573741735926	0.69213129132037
38	0.268694601463674	0.537389202927347	0.731305398536326
39	0.222809477758686	0.445618955517372	0.777190522241314
40	0.215530289934401	0.431060579868802	0.784469710065599
41	0.756908679484669	0.486182641030661	0.243091320515331
42	0.732520223083433	0.534959553833134	0.267479776916567
43	0.687191520364142	0.625616959271717	0.312808479635858
44	0.65179646323491	0.696407073530181	0.34820353676509
45	0.602067714122892	0.795864571754216	0.397932285877108
46	0.5516443232239	0.896711353552199	0.4483556767761
47	0.500176134395289	0.999647731209423	0.499823865604711
48	0.448865474487478	0.897730948974957	0.551134525512522
49	0.399140781687088	0.798281563374176	0.600859218312912
50	0.35058681514169	0.70117363028338	0.64941318485831
51	0.430176354235224	0.860352708470448	0.569823645764776
52	0.701042666320884	0.597914667358232	0.298957333679116
53	0.659323163295661	0.681353673408679	0.340676836704339
54	0.947530437933819	0.104939124132361	0.0524695620661807
55	0.932801092677424	0.134397814645152	0.0671989073225762
56	0.96120145078354	0.0775970984329205	0.0387985492164603
57	0.960845389780172	0.0783092204396568	0.0391546102198284
58	0.950410315354791	0.099179369290418	0.049589684645209
59	0.937846932671828	0.124306134656343	0.0621530673281716
60	0.982365607063201	0.0352687858735987	0.0176343929367994
61	0.97966578613387	0.0406684277322608	0.0203342138661304
62	0.981226856345451	0.0375462873090974	0.0187731436545487
63	0.975030489148025	0.049939021703949	0.0249695108519745
64	0.973969686813229	0.052060626373541	0.0260303131867705
65	0.965879883214941	0.0682402335701184	0.0341201167850592
66	0.955821291196385	0.0883574176072294	0.0441787088036147
67	0.983513346439145	0.0329733071217101	0.0164866535608551
68	0.97794955098473	0.0441008980305398	0.0220504490152699
69	0.971395324034239	0.0572093519315221	0.028604675965761
70	0.972183727963417	0.0556325440731667	0.0278162720365834
71	0.963655902202468	0.0726881955950638	0.0363440977975319
72	0.953700220956975	0.0925995580860504	0.0462997790430252
73	0.953231565016141	0.0935368699677176	0.0467684349838588
74	0.95640506558238	0.087189868835239	0.0435949344176195
75	0.944798396181573	0.110403207636855	0.0552016038184273
76	0.94287920581373	0.114241588372541	0.0571207941862705
77	0.928620134720745	0.14275973055851	0.0713798652792551
78	0.934683843354225	0.130632313291549	0.0653161566457747
79	0.98397019525787	0.0320596094842599	0.0160298047421299
80	0.980056335857444	0.039887328285112	0.019943664142556
81	0.974638296838749	0.0507234063225027	0.0253617031612513
82	0.980636759762909	0.038726480474182	0.019363240237091
83	0.978785876965474	0.0424282460690526	0.0212141230345263
84	0.998079754802513	0.00384049039497381	0.0019202451974869
85	0.997172081654945	0.00565583669011057	0.00282791834505528
86	0.995891811733414	0.00821637653317247	0.00410818826658623
87	0.994102086678788	0.0117958266424245	0.00589791332121225
88	0.992075843120401	0.0158483137591976	0.00792415687959878
89	0.988956454828528	0.0220870903429441	0.0110435451714721
90	0.984746833177256	0.030506333645489	0.0152531668227445
91	0.979411245406368	0.0411775091872631	0.0205887545936315
92	0.974927970249129	0.0501440595017427	0.0250720297508714
93	0.966679786832657	0.0666404263346866	0.0333202131673433
94	0.956189482160449	0.0876210356791021	0.0438105178395511
95	0.946863557572919	0.106272884854161	0.0531364424270806
96	0.931700548180493	0.136598903639014	0.0682994518195068
97	0.91972385243471	0.160552295130579	0.0802761475652896
98	0.898907058189711	0.202185883620578	0.101092941810289
99	0.874114638817771	0.251770722364457	0.125885361182229
100	0.845532668039434	0.308934663921131	0.154467331960566
101	0.812744686783693	0.374510626432613	0.187255313216307
102	0.775885749112762	0.448228501774476	0.224114250887238
103	0.735083372006827	0.529833255986347	0.264916627993173
104	0.69066247862497	0.618675042750061	0.30933752137503
105	0.660452053087156	0.679095893825687	0.339547946912844
106	0.611154250082886	0.777691499834227	0.388845749917114
107	0.559849239797241	0.880301520405518	0.440150760202759
108	0.52067533693918	0.958649326121641	0.47932466306082
109	0.467584924552801	0.935169849105603	0.532415075447199
110	0.413845311089492	0.827690622178985	0.586154688910508
111	0.376125772405205	0.752251544810411	0.623874227594795
112	0.339802126676677	0.679604253353355	0.660197873323323
113	0.387109111011122	0.774218222022244	0.612890888988878
114	0.351236885871427	0.702473771742854	0.648763114128573
115	0.299993672806926	0.599987345613851	0.700006327193075
116	0.25413145276143	0.50826290552286	0.74586854723857
117	0.210675872163952	0.421351744327904	0.789324127836048
118	0.171033070479226	0.342066140958451	0.828966929520774
119	0.137984548283167	0.275969096566333	0.862015451716833
120	0.107935861889446	0.215871723778891	0.892064138110554
121	0.0826669412912887	0.165333882582577	0.917333058708711
122	0.063126873899878	0.126253747799756	0.936873126100122
123	0.0527508145530032	0.105501629106006	0.947249185446997
124	0.0674250306116109	0.134850061223222	0.932574969388389
125	0.0492769258926627	0.0985538517853254	0.950723074107337
126	0.0392307560325522	0.0784615120651043	0.960769243967448
127	0.0278069383093251	0.0556138766186501	0.972193061690675
128	0.0189054148298351	0.0378108296596702	0.981094585170165
129	0.0128448348486576	0.0256896696973153	0.987155165151342
130	0.00826403147321504	0.0165280629464301	0.991735968526785
131	0.00506264977319267	0.0101252995463853	0.994937350226807
132	0.00306728507109617	0.00613457014219235	0.996932714928904
133	0.00608031202268168	0.0121606240453634	0.993919687977318
134	0.00384726056793034	0.00769452113586069	0.99615273943207
135	0.00243070075482986	0.00486140150965972	0.99756929924517
136	0.00157596998362881	0.00315193996725762	0.998424030016371
137	0.00287869840509721	0.00575739681019441	0.997121301594903
138	0.00231375790808837	0.00462751581617674	0.997686242091912
139	0.00180326805936054	0.00360653611872108	0.99819673194064
140	0.000814415838473451	0.0016288316769469	0.999185584161527
141	0.0126092641310792	0.0252185282621584	0.987390735868921
142	0.00937833368108187	0.0187566673621637	0.990621666318918
143	0.00435469477619355	0.0087093895523871	0.995645305223806

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	18	0.135338345864662	NOK
5% type I error level	40	0.300751879699248	NOK
10% type I error level	59	0.443609022556391	NOK