Multiple Linear Regression - Estimated Regression Equation
Y1_Total_overal_crime[t] = + 21.9997344462883 + 0.361070730885295X1_violent_crime[t] + 2.82752476218118X2_police_fund[t] + 3.21033298687592`X3_%_25+_4yrs_HS`[t] + 8.55396454927103`X4_%_16-19_unschooled`[t] + 3.51837086356277`X5_%_18-24_in_college`[t] -4.70541968477886`X6_%_25+_with_4_yrs_or_more_college`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)21.9997344462883295.9307370.07430.9409820.470491
X1_violent_crime0.3610707308852950.0520426.938100
X2_police_fund2.827524762181182.4147561.17090.2461780.123089
`X3_%_25+_4yrs_HS`3.210332986875924.1946050.76530.4470150.223508
`X4_%_16-19_unschooled`8.553964549271036.1624151.38810.170160.08508
`X5_%_18-24_in_college`3.518370863562772.8200751.24760.216940.10847
`X6_%_25+_with_4_yrs_or_more_college`-4.705419684778869.097746-0.51720.6068820.303441


Multiple Linear Regression - Regression Statistics
Multiple R0.770871447637883
R-squared0.594242788783325
Adjusted R-squared0.554332243417751
F-TEST (value)14.8893677934028
F-TEST (DF numerator)6
F-TEST (DF denominator)61
p-value2.12824979861637e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation190.703709667883
Sum Squared Residuals2218442.19774663


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1478548.157093562098-70.1570935620978
2494581.218570418881-87.2185704188811
3643668.162079336548-25.1620793365485
4341634.241514712539-293.241514712539
5773626.746361119052146.253638880948
6603515.30717539505187.692824604949
7484574.998806735587-90.9988067355866
8546509.13421812258836.8657818774122
9424450.396276969511-26.3962769695106
10548613.606860146189-65.6068601461892
11506505.7883205788020.211679421197993
12819635.832854984725183.167145015275
13541548.349877460484-7.34987746048354
14491768.665675280318-277.665675280318
15514499.99911093771414.0008890622861
16371528.599117043586-157.599117043586
17457481.544775832348-24.5447758323481
18437594.089199546594-157.089199546594
19570598.061746443062-28.0617464430617
20432535.843099013787-103.843099013787
21619717.499136704057-98.4991367040572
22357526.615562850788-169.615562850788
23623591.23945579657231.7605442034282
24547790.632504165673-243.632504165673
25792714.57539040205677.4246095979437
26799757.56447630925241.4355236907476
27439622.56048401863-183.56048401863
28867846.77184124311520.2281587568852
29912828.53186685525483.468133144746
30462537.07675646229-75.0767564622904
31859719.417549251763139.582450748237
32805843.403545665624-38.4035456656241
33652690.493984252656-38.4939842526557
34776612.932088865499163.067911134501
35919733.9218132038185.0781867962
367321005.85659941624-273.856599416238
37657717.254326403212-60.2543264032121
381419693.299412556867725.700587443133
39989915.64413530367673.3558646963236
40821841.175537320746-20.1755373207462
4117401925.13985052496-185.139850524957
42815743.50130818389871.4986918161017
43760716.34457165563843.6554283443615
44936700.8834809891235.1165190109
45863681.971459507239181.028540492761
46783907.988108204194-124.988108204194
47715671.78391593017543.2160840698245
4815041020.19204666627483.807953333733
4913241019.69109504593304.308904954075
509401083.32770696095-143.327706960955
51548613.606860146189-65.6068601461892
52506505.7883205788020.211679421197993
53514499.99911093771414.0008890622861
54457481.544775832348-24.5447758323481
55619717.499136704057-98.4991367040572
56547790.632504165673-243.632504165673
57439622.56048401863-183.56048401863
58462537.07675646229-75.0767564622904
59652690.493984252656-38.4939842526557
607321005.85659941624-273.856599416238
61989915.64413530367673.3558646963236
62760716.34457165563843.6554283443615
63783907.988108204194-124.988108204194
6415041020.19204666627483.807953333733
659401083.32770696095-143.327706960955
66919733.9218132038185.0781867962
67936700.8834809891235.1165190109
68548613.606860146189-65.6068601461892


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.197396001528610.394792003057220.80260399847139
110.1033595164044960.2067190328089920.896640483595504
120.05796529397448150.1159305879489630.942034706025519
130.02404974832387790.04809949664775570.975950251676122
140.01187369490216670.02374738980433340.988126305097833
150.004514463961205850.00902892792241170.995485536038794
160.003728929881929450.00745785976385890.996271070118071
170.001485409266395720.002970818532791440.998514590733604
180.01202429730295260.02404859460590520.987975702697047
190.009554895545361690.01910979109072340.990445104454638
200.004937759583263510.009875519166527020.995062240416737
210.004681009211132570.009362018422265140.995318990788867
220.00421898266246860.00843796532493720.995781017337531
230.002529843358335320.005059686716670650.997470156641665
240.001553967215898870.003107934431797740.998446032784101
250.005000505546234310.01000101109246860.994999494453766
260.003508372273883860.007016744547767710.996491627726116
270.002371006760869050.004742013521738110.997628993239131
280.001756898317783390.003513796635566790.998243101682217
290.002148475810111190.004296951620222370.997851524189889
300.001203375953079380.002406751906158770.998796624046921
310.001232083305605180.002464166611210370.998767916694395
320.0006671555346612160.001334311069322430.999332844465339
330.0003342819550944330.0006685639101888660.999665718044906
340.0004587751637114270.0009175503274228540.999541224836289
350.0004285394459375110.0008570788918750230.999571460554063
360.001364065066868710.002728130133737420.998635934933131
370.001357710490410440.002715420980820890.99864228950959
380.2935279346889130.5870558693778270.706472065311087
390.2355811388431630.4711622776863260.764418861156837
400.1820577530867580.3641155061735160.817942246913242
410.1756446389681940.3512892779363880.824355361031806
420.1340764153311330.2681528306622650.865923584668867
430.1059999530427010.2119999060854020.894000046957299
440.1377081508478350.2754163016956710.862291849152165
450.1327083462666390.2654166925332780.867291653733361
460.1059931675049670.2119863350099350.894006832495033
470.08062432469899120.1612486493979820.919375675301009
480.2365377114315410.4730754228630830.763462288568459
490.4129135782845630.8258271565691270.587086421715437
500.3422183163482820.6844366326965650.657781683651718
510.2816228530944850.563245706188970.718377146905515
520.2187436204235750.4374872408471510.781256379576425
530.151147419784810.3022948395696210.84885258021519
540.1108708099024920.2217416198049850.889129190097508
550.07525833751571690.1505166750314340.924741662484283
560.1312178045956280.2624356091912550.868782195404372
570.07758567825842080.1551713565168420.922414321741579
580.03752841388734960.07505682777469910.96247158611265


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level200.408163265306122NOK
5% type I error level250.510204081632653NOK
10% type I error level260.530612244897959NOK