Multiple Linear Regression - Estimated Regression Equation
month[t] = + 2547.65327640078 -1.29266335839508Year[t] + 0.0298364064047847robberies[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2547.65327640078537.6150714.73886e-063e-06
Year-1.292663358395080.273404-4.7286e-063e-06
robberies0.02983640640478470.0060814.90683e-062e-06


Multiple Linear Regression - Regression Statistics
Multiple R0.417665158837213
R-squared0.174444184906515
Adjusted R-squared0.160086692470106
F-TEST (value)12.1500453981888
F-TEST (DF numerator)2
F-TEST (DF denominator)115
p-value1.63275246892747e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.14594925654832
Sum Squared Residuals1138.15462334935


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
117.5004064586588-6.5004064586588
227.44073364584255-5.44073364584255
337.76893411629518-4.76893411629518
447.47057005224734-3.47057005224734
557.56007927146169-2.56007927146169
667.41089723943777-1.41089723943777
777.58991567786648-0.589915677866476
887.321388020223410.678611979776586
997.440733645842551.55926635415745
10107.321388020223412.67861197977659
11117.142369581794713.85763041820529
12127.73909770989044.2609022901096
1316.4762707579001-5.4762707579001
1426.74479841554317-4.74479841554317
1536.86414404116231-3.8641440411623
1645.93921544261398-1.93921544261398
1756.14807028744747-1.14807028744747
1866.38676153868575-0.38676153868575
1976.565779977114460.434220022885542
2086.774634821947951.22536517805205
2196.68512560273362.3148743972664
22106.535943570709673.46405642929033
23117.07299888599583.9270011140042
24127.669727014091494.33027298590851
2515.89968115321986-4.89968115321986
2625.54164427636244-3.54164427636244
2735.33278943152895-2.33278943152895
2846.1980452172677-2.1980452172677
2956.49640928131555-1.49640928131555
3065.780335527600720.219664472399282
3176.914118970982540.0858810290174644
3287.839047569530860.160952430469139
3397.272155847839951.72784415216005
34106.585918500529913.4140814994701
35117.451174286268663.54882571373134
36128.137411633578713.86258836642129
3717.11327593282669-6.11327593282669
3826.09883811506401-4.09883811506401
3936.57622061754057-3.57622061754057
4045.65129201899224-1.65129201899224
4155.80047405101616-0.800474051016164
4264.696527014039131.30347298596087
4375.979492489444871.02050751055513
4486.367365772707071.63263422729293
4595.681128425397033.31887157460297
46105.14407311011094.8559268898891
47115.293255142134825.70674485786518
48124.726363420443917.27363657955609
4914.06026459654931-3.06026459654931
5024.29895584778759-2.29895584778759
5134.44813787981152-1.44813787981151
5243.791736938906250.208263061093748
5354.030428190144530.96957180985547
5464.836011163073721.16398883692628
5575.731103355217261.26889664478274
5686.775377579384721.22462242061528
5798.147852274004820.852147725995184
58106.745541172979943.25445882702006
59116.297995076908174.70200492309183
60126.41734070252735.5826592974727
6113.87154827513127-2.87154827513127
6224.61745843525089-2.61745843525089
6334.91582249929873-1.91582249929873
6444.25942155839347-0.259421558393469
6555.30369578256093-0.303695782560933
6664.438439996822181.56156000317782
6778.04864517180112-1.04864517180112
6886.497152038752321.50284796124768
6996.168951568299692.83104843170031
70108.138154391015481.86184560898452
71117.809953920562853.19004607943715
72128.376845642253763.62315435774624
7315.62219837002423-4.62219837002423
7424.87628820990461-2.87628820990461
7536.18909009171514-3.18909009171514
7647.26320072228738-3.26320072228738
7754.846451803499820.153548196500175
7865.86088962126250.139110378737496
7979.05338510657447-2.05338510657447
8088.63567541690748-0.63567541690748
8197.710746818359151.28925318164085
82105.890726027667294.10927397233271
83116.189090091715134.81090990828487
84128.128456508026143.87154349197386
8516.11971939591623-5.11971939591623
8625.37380923579661-3.37380923579661
8736.53742908558321-3.53742908558321
8844.65773548208178-0.657735482081778
8955.76168251905881-0.761682519058812
9065.552827674225320.447172325774681
9176.447919866368860.552080133631141
9289.19286925560905-1.19286925560905
9396.447919866368862.55208013363114
94107.014811588059772.98518841194023
95117.760721748179393.23927825182061
96127.790558154584174.20944184541583
9715.6923118232599-4.6923118232599
9825.60280260404555-3.60280260404555
9934.43918275425895-1.43918275425895
10043.186053685257990.81394631474201
10153.126380872448421.87361912755158
10264.498855567068521.50114443293148
10376.527731202593880.472268797406125
10489.66055387509627-1.66055387509627
10596.796258860236942.20374113976306
1061010.4661368480255-0.466136848025452
107119.421862623857991.57813737614201
108127.601841833166124.39815816683388
10919.56134677289258-8.56134677289258
11028.09936285905813-6.09936285905813
11135.83179597229449-2.83179597229449
11245.74228675308014-1.74228675308014
11353.653738304745211.34626169525479
11464.071447994412191.92855200558781
11576.518033319604540.481966680395461
11686.39868769398541.6013123060146
11797.502634730962431.49736526903757
118107.502634730962432.49736526903757


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.3964920008128510.7929840016257030.603507999187149
70.4454164060109920.8908328120219840.554583593989008
80.4537599090428850.9075198180857710.546240090957115
90.5200594094165240.9598811811669520.479940590583476
100.516499598198790.967000803602420.48350040180121
110.4275998963354310.8551997926708610.572400103664569
120.8608077152201880.2783845695596230.139192284779812
130.8260020860538920.3479958278922160.173997913946108
140.8004451074331080.3991097851337850.199554892566892
150.7788149640402880.4423700719194230.221185035959711
160.721195692487770.557608615024460.27880430751223
170.6627740657881940.6744518684236110.337225934211806
180.6353418005302620.7293163989394760.364658199469738
190.6500141512419810.6999716975160370.349985848758018
200.6984356325870520.6031287348258960.301564367412948
210.7385296291187330.5229407417625340.261470370881267
220.7843617385591930.4312765228816140.215638261440807
230.834154069775490.3316918604490210.16584593022451
240.8334142139515920.3331715720968160.166585786048408
250.8820431859945980.2359136280108030.117956814005402
260.8713138324976510.2573723350046980.128686167502349
270.8458974950525290.3082050098949410.154102504947471
280.824131091403240.3517378171935210.17586890859676
290.7938120551305730.4123758897388540.206187944869427
300.7625670304455520.4748659391088960.237432969554448
310.7155447022348020.5689105955303950.284455297765198
320.6706203034466390.6587593931067230.329379696553361
330.6212256320284650.7575487359430710.378774367971535
340.6263391542393880.7473216915212240.373660845760612
350.5930890208584010.8138219582831980.406910979141599
360.5482036220727990.9035927558544020.451796377927201
370.7932628496383730.4134743007232530.206737150361627
380.8211669475145410.3576661049709190.178833052485459
390.8419494374015670.3161011251968670.158050562598433
400.8242849101032520.3514301797934950.175715089896748
410.8013447213275720.3973105573448560.198655278672428
420.8057641385567920.3884717228864160.194235861443208
430.7789895706654130.4420208586691740.221010429334587
440.7494134038345980.5011731923308040.250586596165402
450.7577240282671660.4845519434656680.242275971732834
460.8123791923825070.3752416152349860.187620807617493
470.8689721147030180.2620557705939650.131027885296982
480.9418843234084640.1162313531830730.0581156765915363
490.9487506617334370.1024986765331260.0512493382665631
500.9470150190737290.1059699618525430.0529849809262715
510.9388024811504680.1223950376990640.061197518849532
520.9218635137900630.1562729724198730.0781364862099366
530.9013833451917780.1972333096164440.0986166548082221
540.8768728389170550.246254322165890.123127161082945
550.8479023565188350.3041952869623310.152097643481165
560.8141979972436960.3716040055126090.185802002756304
570.7776014549454310.4447970901091380.222398545054569
580.7533540489117490.4932919021765010.246645951088251
590.7646140842688310.4707718314623390.235385915731169
600.8053482356669090.3893035286661810.194651764333091
610.8134106872695790.3731786254608420.186589312730421
620.8201107632312140.3597784735375710.179889236768786
630.8131971475847450.373605704830510.186802852415255
640.7798438940078940.4403122119842120.220156105992106
650.7460583101896640.5078833796206720.253941689810336
660.703539727293720.5929205454125610.29646027270628
670.6889750415264750.6220499169470490.311024958473525
680.6396711323677480.7206577352645040.360328867632252
690.6028830990027360.7942338019945280.397116900997264
700.5525949878982730.8948100242034540.447405012101727
710.5221502783187050.9556994433625890.477849721681295
720.5089944521227690.9820110957544630.491005547877231
730.6148032015652470.7703935968695060.385196798434753
740.6334620907468670.7330758185062660.366537909253133
750.6713925551812740.6572148896374520.328607444818726
760.7139674468518730.5720651062962540.286032553148127
770.6721050761321980.6557898477356030.327894923867801
780.6268452025652550.7463095948694890.373154797434745
790.6266211821791020.7467576356417950.373378817820898
800.5906404602478780.8187190795042440.409359539752122
810.5348406545735280.9303186908529450.465159345426472
820.5213173085564930.9573653828870140.478682691443507
830.5401430494625070.9197139010749870.459856950537493
840.5387426609884420.9225146780231170.461257339011558
850.6685245489078940.6629509021842110.331475451092106
860.7143334615099640.5713330769800720.285666538490036
870.771436153872480.457127692255040.22856384612752
880.750874755969130.498250488061740.24912524403087
890.7318276045321230.5363447909357530.268172395467876
900.6922777639742050.6154444720515910.307722236025795
910.6458128180652590.7083743638694820.354187181934741
920.6260459266787770.7479081466424450.373954073321223
930.5674450902135330.8651098195729330.432554909786467
940.5095369384250170.9809261231499650.490463061574983
950.4578290194627260.9156580389254510.542170980537274
960.4528356124535080.9056712249070170.547164387546492
970.5841191350897830.8317617298204350.415880864910218
980.6740221723626590.6519556552746810.325977827637341
990.6947734808694710.6104530382610580.305226519130529
1000.6796182232244770.6407635535510450.320381776775523
1010.6653889104387760.6692221791224470.334611089561224
1020.6685497251152940.6629005497694110.331450274884706
1030.6688317973030680.6623364053938650.331168202696932
1040.6245117757986740.7509764484026520.375488224201326
1050.5845415848505380.8309168302989240.415458415149462
1060.4917579504688420.9835159009376840.508242049531158
1070.3906362481031880.7812724962063760.609363751896812
1080.3009976368845050.6019952737690090.699002363115495
1090.4647881246104490.9295762492208980.535211875389551
1100.7907118158773670.4185763682452670.209288184122633
1110.8918321545110030.2163356909779940.108167845488997
1120.9750004973727840.04999900525443210.024999502627216


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.00934579439252336OK
10% type I error level10.00934579439252336OK