Multiple Linear Regression - Estimated Regression Equation
Assaults[t] = -46.195573681861 + 157.459475609288Pop[t] -2.24327138816698e-05BachDgr[t] + 0.553103839199705PoliceExp[t] + 5.52628914544458TotlPopul[t] + 7.69293391267485Unempl[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-46.19557368186189.251115-0.51760.6067820.303391
Pop157.45947560928861.2079072.57250.0127740.006387
BachDgr-2.24327138816698e-053.2e-05-0.69810.4880310.244015
PoliceExp0.5531038391997050.2260122.44720.0175580.008779
TotlPopul5.526289145444582.7159112.03480.0466170.023309
Unempl7.692933912674858.5743270.89720.373450.186725


Multiple Linear Regression - Regression Statistics
Multiple R0.545535887200971
R-squared0.297609404224151
Adjusted R-squared0.234895958172736
F-TEST (value)4.7455437862585
F-TEST (DF numerator)5
F-TEST (DF denominator)56
p-value0.001101536006332
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation145.629145880577
Sum Squared Residuals1187639.49527476


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1521290.898272661627230.101727338373
2367511.529849979445-144.529849979445
3443380.71678885560462.2832111443958
4365258.78198799166106.21801200834
5614570.11000095350643.8899990464941
6385327.95702686599757.0429731340025
7286372.017209322434-86.0172093224338
8397343.96874969714353.0312503028574
9764433.846969277139330.153030722861
10427332.15275076284694.8472492371539
11153315.83722599876-162.83722599876
12231272.646879295815-41.6468792958152
13524375.047333643381148.952666356619
14328282.32893184291645.6710681570836
15240266.706365925442-26.7063659254419
16286290.70636278889-4.70636278888987
17285293.354698232941-8.35469823294114
18569322.136843017627246.863156982373
1996280.166559156379-184.166559156379
20498380.65308159856117.34691840144
21481386.97620784594894.0237921540516
22468400.00439722960367.9956027703967
23177300.25321696175-123.25321696175
24198265.553917707814-67.5539177078135
25458294.292956985276163.707043014724
26108277.082143967086-169.082143967086
27246241.7726497110354.22735028896492
28291390.808706116199-99.8087061161987
2968301.494974909967-233.494974909967
30311397.258770293324-86.258770293324
31606329.68137202678276.31862797322
32512539.991863731741-27.9918637317414
33426319.637726225002106.362273774998
3447225.329423151704-178.329423151704
35265357.070499285198-92.0704992851983
36370287.73195245168682.2680475483139
37312332.136386407045-20.1363864070445
38222355.274336847771-133.274336847771
39280340.7321834182-60.7321834182005
40759301.805856244096457.194143755904
41114230.233340199819-116.233340199819
42419310.819724265704108.180275734296
43435385.53731048881549.4626895111852
44186279.909531945652-93.9095319456517
4587265.832053863073-178.832053863073
46188333.231416361717-145.231416361717
47303330.555206340038-27.5552063400383
48102267.04561184019-165.04561184019
49127327.481235479122-200.481235479122
50251318.901139830532-67.9011398305322
51205191.29852256538813.7014774346121
52453381.73317579183271.2668242081684
53320153.189733004551166.810266995449
54405403.0261090375741.97389096242615
558993.3316535512012-4.33165355120119
5674138.843545953035-64.843545953035
57101147.620756342396-46.6207563423958
58321201.696758780246119.303241219754
59315431.745096960359-116.745096960359
60229410.796224232271-181.796224232271
61302361.231808805712-59.2318088057116
62216115.486614975437100.513385024563


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.6431846902449230.7136306195101550.356815309755077
100.540285476999570.9194290460008610.45971452300043
110.5698461851804830.8603076296390350.430153814819517
120.5750153869848970.8499692260302060.424984613015103
130.474653503729770.949307007459540.52534649627023
140.3857125837708370.7714251675416750.614287416229163
150.296167262030820.5923345240616390.70383273796918
160.2089918284646540.4179836569293080.791008171535346
170.2077083070962190.4154166141924380.792291692903781
180.2663813415648910.5327626831297830.733618658435109
190.4810368270454440.9620736540908880.518963172954556
200.450172183786680.9003443675733590.54982781621332
210.3781882825783460.7563765651566930.621811717421654
220.3170062602809020.6340125205618040.682993739719098
230.3113154183894720.6226308367789430.688684581610528
240.302273183299220.604546366598440.69772681670078
250.3037801770895130.6075603541790270.696219822910487
260.3352438726638720.6704877453277430.664756127336128
270.2648992771537960.5297985543075920.735100722846204
280.215014342709820.4300286854196390.78498565729018
290.3127974027465520.6255948054931050.687202597253448
300.270309947078920.5406198941578410.72969005292108
310.5008784189057280.9982431621885440.499121581094272
320.4444367794371720.8888735588743440.555563220562828
330.4170073673539360.8340147347078720.582992632646064
340.4416262537919960.8832525075839920.558373746208004
350.4016552275943080.8033104551886160.598344772405692
360.3529792345712390.7059584691424780.647020765428761
370.2811009231180120.5622018462360240.718899076881988
380.2614509082438260.5229018164876520.738549091756174
390.2028816628901250.405763325780250.797118337109875
400.9390080132042750.1219839735914510.0609919867957254
410.9179559423151670.1640881153696660.0820440576848331
420.9497268674603940.1005462650792120.0502731325396062
430.9782009362205080.0435981275589840.021799063779492
440.9623977505122470.07520449897550710.0376022494877535
450.9547176271424180.09056474571516410.0452823728575821
460.9273935032683390.1452129934633220.0726064967316608
470.924568658355660.150862683288680.0754313416443401
480.973960964231280.05207807153744040.0260390357687202
490.9886867030696530.02262659386069470.0113132969303474
500.9714620172256690.05707596554866130.0285379827743307
510.9565606975781790.0868786048436420.043439302421821
520.9132590509252080.1734818981495830.0867409490747916
530.8725730417290870.2548539165418270.127426958270913


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 level70.155555555555556NOK