Multiple Linear Regression - Estimated Regression Equation
firearmsuicide[t] = + 1.75219418227066 + 3.06470349276860firearmhomicide[t] -0.00947626841170947t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.752194182270660.17169610.205200
firearmhomicide3.064703492768600.29406210.42200
t-0.009476268411709470.001709-5.543400


Multiple Linear Regression - Regression Statistics
Multiple R0.791646276919036
R-squared0.626703827759771
Adjusted R-squared0.618122306558846
F-TEST (value)73.0294563267214
F-TEST (DF numerator)2
F-TEST (DF denominator)87
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.420693121594387
Sum Squared Residuals15.3974951224442


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14.0316363.340976721795930.690659278204068
23.7020763.035214726754530.666861273245471
33.0561763.026359673740810.0298163262591941
43.2807073.176746614211340.103960385788663
52.9847284.24245230393855-1.25772430393855
63.6937123.582025045433710.111686954566287
73.2263172.809463350831960.416853649168038
82.1903492.99692891298010-0.806579912980103
92.5995152.528177405023490.0713375949765116
103.0802883.08136782612942-0.00107982612942403
112.9296722.473571333646600.456100666353404
122.9225483.40958612684823-0.487038126848229
133.2349433.36397761719748-0.129034617197476
142.9830813.17565536646932-0.192574366469318
153.2843893.91077670042752-0.626387700427523
163.8065113.687145081348130.11936591865187
173.7845793.9389948538834-0.154415853883402
182.6456542.97957757438685-0.33392357438685
193.0920813.09760002009235-0.00551902009234805
203.2048592.847782654959690.357076345040308
213.1072253.42128685022675-0.314061850226745
223.4669092.945318578485360.521590421514641
232.9844043.28279984425278-0.298395844252777
243.2180722.590972859642430.627099140357574
252.827312.702857930133300.124452069866695
263.1820493.29078186180418-0.108732861804184
272.2363192.229115653797000.0072033462030029
282.0332182.21241036278655-0.179192362786545
291.6448042.2822219578473-0.6374179578473
301.6279712.76762665415948-1.13965565415948
311.6775592.57788942982871-0.90033042982871
322.3308282.59844970740893-0.267621707408928
332.4936152.69295821556616-0.199343215566159
342.2571722.62268435926491-0.365512359264906
352.6555172.15685351373690.498663486263101
362.2986551.898181913743290.400473086256715
372.6004022.74801080885093-0.147608808850930
383.045232.953464648149880.0917653518501233
392.7905832.529880740269690.260702259730314
403.2270522.703172048763770.523879951236228
412.9674792.629560423888550.337918576111455
422.9388172.36214982188530.576667178114699
433.2779612.934268464703270.343692535296725
443.4239853.016689169344330.407295830655673
453.0726463.001882462147650.070763537852355
462.7542532.83744957514562-0.0831965751456179
472.9104312.93383889183636-0.0234078918363603
483.1743693.123210393086650.0511586069133454
493.0683872.995075854252980.0733111457470219
503.0895433.034861936254380.0546810637456193
512.9066542.802916083069460.103737916930545
522.9311612.923951132308340.00720986769165596
533.025662.964241970975010.0614180290249946
542.9395513.35870465584277-0.419153655842771
552.6910192.580537005612050.110481994387952
563.198122.96125173708160.236868262918397
573.076393.041403335256610.0349866647433906
582.8638732.6538722927950.210000707205001
593.0138023.008604774523210.00519722547678875
603.0533643.014948812011520.0384151879884777
612.8647533.11536392321037-0.250610923210366
623.0570623.020991690404780.0360703095952252
632.9593653.31461214566509-0.355247145665086
643.2522582.618383633898420.633874366101579
653.6029883.289760974029140.313227025970865
663.4977043.274816355175280.222887644824722
673.2968672.965562130503870.331304869496132
683.6024173.247252614477880.355164385522121
693.30012.929970092536810.370129907463189
703.401933.54779602971628-0.145866029716284
713.5025912.923444621906220.57914637809378
723.4023482.906618581578150.495729418421847
733.4985512.907101986577240.591449013422757
743.1998233.2013378342989-0.00151483429890138
752.7000642.572512265859740.127551734140256
762.8010342.558501462160130.242532537839866
772.8986282.547422966762400.351205033237595
782.8008542.85242818255765-0.0515741825576523
792.3999422.027039580910350.37290241908965
802.4027241.835160741778830.567563258221167
812.2023311.968210961061120.234120038938878
822.1025942.63212452230555-0.529530522305548
831.7982932.20693287097305-0.408639870973051
841.2024841.84064911135646-0.638165111356455
851.4002011.95069045622608-0.550489456226085
861.2008321.89728595383043-0.696453953830428
871.2980831.71709221617614-0.419009216176139
881.0997421.57363446634897-0.473892466348969
891.0013771.47940995225173-0.47803295225173
900.83617431.38744933462460-0.551275034624598


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.7580024063963210.4839951872073570.241997593603679
70.6262327643630370.7475344712739270.373767235636963
80.7964580595354450.407083880929110.203541940464555
90.700891179381580.598217641236840.29910882061842
100.7428510978920480.5142978042159040.257148902107952
110.7261388604717180.5477222790565640.273861139528282
120.6878065627103010.6243868745793980.312193437289699
130.7135269762326280.5729460475347440.286473023767372
140.6537056500051020.6925886999897960.346294349994898
150.6546153379860540.6907693240278910.345384662013946
160.7776189495352230.4447621009295530.222381050464776
170.7840618913524710.4318762172950580.215938108647529
180.7502897659358450.4994204681283110.249710234064155
190.6937751149603230.6124497700793540.306224885039677
200.6736251915027760.6527496169944470.326374808497224
210.6232875576736670.7534248846526650.376712442326333
220.6571295562211840.6857408875576310.342870443778816
230.6129744475506930.7740511048986140.387025552449307
240.6269422306553780.7461155386892440.373057769344622
250.5645151470189020.8709697059621960.435484852981098
260.5008805644677340.9982388710645320.499119435532266
270.4997601734740750.999520346948150.500239826525925
280.5140869372318720.9718261255362550.485913062768128
290.6607855550991760.6784288898016480.339214444900824
300.9120585242446150.1758829515107700.0879414757553852
310.9726315974982460.05473680500350850.0273684025017542
320.9694851077852290.06102978442954260.0305148922147713
330.9666540870063920.06669182598721650.0333459129936082
340.9714511001858450.05709779962831090.0285488998141555
350.9771694419258010.04566111614839710.0228305580741985
360.9739309557920220.05213808841595680.0260690442079784
370.9717290586431560.05654188271368830.0282709413568441
380.9722293823976550.05554123520468960.0277706176023448
390.9685365045716930.06292699085661450.0314634954283072
400.9774381587822210.04512368243555740.0225618412177787
410.9747794889189260.0504410221621490.0252205110810745
420.9807420967449150.03851580651017010.0192579032550851
430.9794150142410350.04116997151792910.0205849857589646
440.9795241364809380.0409517270381250.0204758635190625
450.9712448072470930.05751038550581390.0287551927529069
460.9613441230290660.07731175394186720.0386558769709336
470.9483210826872320.1033578346255350.0516789173127675
480.9326271689717030.1347456620565950.0673728310282973
490.911855651544940.1762886969101190.0881443484550597
500.8873848200437820.2252303599124350.112615179956218
510.8553046229591240.2893907540817520.144695377040876
520.8225910516089060.3548178967821870.177408948391094
530.7840375410614250.431924917877150.215962458938575
540.8488978530656270.3022042938687450.151102146934373
550.8134076170514010.3731847658971980.186592382948599
560.7757953864554340.4484092270891330.224204613544566
570.748255951584330.5034880968313410.251744048415671
580.7006282629634350.5987434740731310.299371737036565
590.6852098764246740.6295802471506520.314790123575326
600.676412362644390.6471752747112210.323587637355611
610.798078904928640.4038421901427190.201921095071359
620.8501599987256090.2996800025487820.149840001274391
630.981404473955960.03719105208808180.0185955260440409
640.9862103776286170.02757924474276640.0137896223713832
650.9880866781421980.02382664371560480.0119133218578024
660.9919208921414720.01615821571705600.00807910785852801
670.99742035604520.005159287909601040.00257964395480052
680.9971440721718060.005711855656388270.00285592782819413
690.9990818088238950.001836382352209500.000918191176104748
700.9995472941525530.0009054116948949820.000452705847447491
710.999195790296790.001608419406421590.000804209703210794
720.9984386600908220.003122679818355990.00156133990917799
730.9977242891751130.004551421649774080.00227571082488704
740.9951940613768630.00961187724627330.00480593862313665
750.996923023420670.006153953158659970.00307697657932999
760.9946708256287650.01065834874246970.00532917437123484
770.98949920543210.02100158913580150.0105007945679007
780.9842921096772680.03141578064546480.0157078903227324
790.9671384023487270.06572319530254510.0328615976512726
800.9585829156019580.08283416879608440.0414170843980422
810.997343508999340.005312982001321880.00265649100066094
820.992175388894640.01564922221072090.00782461110536046
830.9901841567268460.01963168654630830.00981584327315417
840.995121982758170.009756034483660280.00487801724183014


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level110.139240506329114NOK
5% type I error level250.316455696202532NOK
10% type I error level380.481012658227848NOK