Multiple Linear Regression - Estimated Regression Equation
Assaults[t] = + 75.2168000541277 -2.91687090279448e-05BachDegrees[t] + 0.709083500395866PoliceExp[t] + 3.98758316931819Population[t] -0.0505939559173183Density[t] + 7.03073495152404Unemployment[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)75.216800054127781.4811750.92310.3599060.179953
BachDegrees-2.91687090279448e-053.4e-05-0.86490.3907630.195381
PoliceExp0.7090835003958660.2340683.02940.0037030.001852
Population3.987583169318192.7878481.43030.1581740.079087
Density-0.05059395591731830.074106-0.68270.4975960.248798
Unemployment7.030734951524049.0390510.77780.439950.219975


Multiple Linear Regression - Regression Statistics
Multiple R0.470197739682809
R-squared0.221085914402823
Adjusted R-squared0.151540013903075
F-TEST (value)3.17899276325604
F-TEST (DF numerator)5
F-TEST (DF denominator)56
p-value0.0135047150890609
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation153.357046903804
Sum Squared Residuals1317029.49476311


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1521268.571063249648252.428936750352
2367562.537238488845-195.537238488845
3443391.52433872978251.4756612702182
4365234.098597923585130.901402076415
5614540.35754413349373.6424558665068
6385327.04296692349357.957033076507
7286346.02312333647-60.0231233364698
8397336.68314691178160.3168530882193
9764415.890313210908348.109686789092
10427318.505682097822108.494317902178
11153317.392117721737-164.392117721737
12231261.10050975421-30.1005097542104
13524347.457922031541176.542077968459
14328252.81235001350675.1876499864942
15240250.34729337982-10.3472933798198
16286283.5910105425422.40898945745807
17285271.59082297821113.409177021789
18569307.47347597595261.52652402405
1996264.694741609701-168.694741609701
20498364.303041189445133.696958810555
21481345.7104686685135.2895313315
22468382.24964046658385.7503595334169
23177286.718659448941-109.718659448941
24198237.915142740667-39.9151427406669
25458271.5549677389186.4450322611
26108265.504108250617-157.504108250617
27246228.9563810383117.0436189616898
28291413.746045456084-122.746045456084
2968289.010390127188-221.010390127188
30311346.505826623251-35.5058266232515
31606330.364447011896275.635552988104
32512529.429214065624-17.4292140656245
33426298.501289817016127.498710182984
3447207.38841576974-160.38841576974
35265325.202867225694-60.2028672256943
36370270.41142404629899.5885759537016
37312331.082149725639-19.0821497256393
38222318.263171312261-96.2631713122609
39280293.632200613388-13.6322006133883
40759285.27232915479473.72767084521
41114215.486295095227-101.486295095227
42419291.262408062247127.737591937753
43435352.22673490395382.7732650960467
44186271.143130969781-85.1431309697807
4587250.430042989466-163.430042989466
46188316.275388821138-128.275388821138
47303319.73030457752-16.7303045775203
48102235.872129113482-133.872129113482
49127317.397497032681-190.397497032681
50251325.323303740204-74.3233037402043
51205283.247722677867-78.247722677867
52453318.166049800428134.833950199572
53320204.871149611947115.128850388053
54405423.615725106171-18.6157251061708
5589216.956538443007-127.956538443007
5674256.079635020345-182.079635020345
57101271.90516880027-170.90516880027
58321312.5774018784298.42259812157065
59315496.685940909113-181.685940909113
60229422.872246164992-193.872246164992
61302370.574936414366-68.5749364143657
62216233.883810363485-17.8838103634849


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.5469562037742550.906087592451490.453043796225745
100.4586444622962850.9172889245925690.541355537703715
110.4900149962684190.9800299925368370.509985003731581
120.5161490998833270.9677018002333460.483850900116673
130.4181488638919060.8362977277838120.581851136108094
140.3345650126879390.6691300253758770.665434987312062
150.2524743033949770.5049486067899540.747525696605023
160.172836207020460.3456724140409190.82716379297954
170.1723690264073410.3447380528146830.827630973592659
180.2232072277236330.4464144554472660.776792772276367
190.4201365753233020.8402731506466040.579863424676698
200.3829029820345550.7658059640691090.617097017965445
210.3234032505490020.6468065010980040.676596749450998
220.2649142492932240.5298284985864490.735085750706776
230.2484453155100570.4968906310201140.751554684489943
240.2394210295256320.4788420590512630.760578970474368
250.2513755875591630.5027511751183250.748624412440837
260.270572194210790.541144388421580.72942780578921
270.2088703344938970.4177406689877940.791129665506103
280.1697475015219360.3394950030438710.830252498478064
290.2489350420722270.4978700841444550.751064957927773
300.2180240165736480.4360480331472950.781975983426352
310.4209374068914360.8418748137828720.579062593108564
320.3685980858014050.737196171602810.631401914198595
330.3516228676424770.7032457352849530.648377132357523
340.3583962557564040.7167925115128090.641603744243596
350.3186220907452510.6372441814905030.681377909254749
360.2834916501518720.5669833003037450.716508349848128
370.2202074484564860.4404148969129710.779792551543514
380.1969094235634650.393818847126930.803090576436535
390.147433643906470.294867287812940.85256635609353
400.9197308860710990.1605382278578020.0802691139289009
410.8887267660314850.2225464679370290.111273233968515
420.9399162001867140.1201675996265730.0600837998132865
430.9795246484478420.0409507031043160.020475351552158
440.9658146089199350.06837078216013070.0341853910800653
450.9548423818920580.09031523621588470.0451576181079424
460.9274114587418820.1451770825162360.0725885412581181
470.9339043186500650.1321913626998710.0660956813499355
480.9368564695506960.1262870608986080.063143530449304
490.8958372675089660.2083254649820680.104162732491034
500.9861403975122860.02771920497542710.0138596024877135
510.9686312575116840.06273748497663230.0313687424883162
520.9324254280780190.1351491438439620.0675745719219811
530.9195535152287540.1608929695424930.0804464847712463


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.0444444444444444OK
10% type I error level50.111111111111111NOK