Multiple Linear Regression - Estimated Regression Equation
Crimerate[t] = + 1395.25905402689 -22.0239243392042`25+HSgraduate`[t] + 11.3564365152109`Dropouts16-19`[t] -13.0018979457832`CollegeStudents18-24`[t] + 52.8071869293045`25+CollegeGrads`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1395.259054026891026.9460181.35860.181030.090515
`25+HSgraduate`-22.023924339204214.248002-1.54580.1291680.064584
`Dropouts16-19`11.356436515210921.1028390.53810.5931270.296564
`CollegeStudents18-24`-13.00189794578329.404988-1.38240.1736580.086829
`25+CollegeGrads`52.807186929304528.7522151.83660.0728750.036438


Multiple Linear Regression - Regression Statistics
Multiple R0.387809301531643
R-squared0.150396054354461
Adjusted R-squared0.0748757036304126
F-TEST (value)1.99146392876285
F-TEST (DF numerator)4
F-TEST (DF denominator)45
p-value0.112003982595635
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation551.841741660512
Sum Squared Residuals13703818.8527508


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1184543.494356859904-359.494356859904
2213325.905056330308-112.905056330308
3347694.884831292732-347.884831292732
4565634.770330622917-69.7703306229168
5327802.06187611668-475.061876116680
6260364.530760757196-104.530760757196
7325461.164503455000-136.164503455000
8102394.23533343439-292.23533343439
938263.742124735350-225.742124735350
1022681.885699360451144.114300639549
11137423.682093874672-286.682093874672
12369556.659516241847-187.659516241847
13109196.503995433985-87.5039954339852
14809408.421691842421400.578308157579
1529225.793838281084-196.793838281084
16245292.513164757297-47.5131647572974
17118377.037146931949-259.037146931949
18148481.911114085486-333.911114085486
19387708.050220291597-321.050220291597
2098474.278745410024-376.278745410024
21608742.412082493774-134.412082493774
22218700.399436467627-482.399436467627
23254727.933171429199-473.933171429199
24697887.873140568521-190.873140568521
25827558.008008344116268.991991655884
26693412.518783309636280.481216690364
27448719.231635035129-271.231635035129
28942568.087442120621373.912557879379
291017827.910681586276189.089318413724
30216776.060007396327-560.060007396327
31673795.913094019909-122.913094019909
32989607.524272412276381.475727587724
33630726.124137592459-96.1241375924588
34404712.059956357979-308.059956357979
35692684.6319919457487.36800805425159
361517799.962216794608717.037783205392
37879949.903615451446-70.9036154514464
38631668.291202446305-37.2912024463051
391375506.700814617712868.299185382288
401139636.235813023111502.764186976889
413545837.6909892463382707.30901075366
42706626.99906717968179.0009328203192
434511123.34470038617-672.344700386167
44433968.02062553921-535.020625539211
45601679.479272002822-78.4792720028218
4610241013.2876750995010.7123249005013
47457764.131923457837-307.131923457837
481441541.668916398959899.331083601041
491022709.26462662095312.735373379049
501244825.804300540465418.195699459535


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.02359927888810260.04719855777620510.976400721111897
90.0108353616803890.0216707233607780.98916463831961
100.003084017056648720.006168034113297440.996915982943351
110.0007305534985232770.001461106997046550.999269446501477
120.0001852466805271090.0003704933610542180.999814753319473
133.70348016458373e-057.40696032916746e-050.999962965198354
140.001068663126377410.002137326252754820.998931336873623
150.0004573275673211230.0009146551346422460.999542672432679
160.0001421066412829600.0002842132825659210.999857893358717
175.29282624427728e-050.0001058565248855460.999947071737557
183.12630951783484e-056.25261903566969e-050.999968736904822
191.15185336732675e-052.30370673465350e-050.999988481466327
206.65435070634497e-061.33087014126899e-050.999993345649294
214.24253734655200e-068.48507469310399e-060.999995757462653
221.97423567481337e-063.94847134962674e-060.999998025764325
239.317249313127e-071.8634498626254e-060.999999068275069
244.01861598763344e-078.03723197526689e-070.9999995981384
252.28966121671521e-064.57932243343042e-060.999997710338783
266.91088999824635e-061.38217799964927e-050.999993089110002
272.51679391435658e-065.03358782871317e-060.999997483206086
285.5137934224229e-061.10275868448458e-050.999994486206578
294.68568667059819e-069.37137334119638e-060.99999531431333
305.43244389242611e-061.08648877848522e-050.999994567556107
311.87138506344722e-063.74277012689444e-060.999998128614937
322.9610561616965e-065.922112323393e-060.999997038943838
339.49798478653584e-071.89959695730717e-060.999999050201521
343.34355683850764e-076.68711367701528e-070.999999665644316
351.09660379377435e-072.19320758754870e-070.99999989033962
366.65310942433421e-071.33062188486684e-060.999999334689058
375.25495056954094e-061.05099011390819e-050.99999474504943
385.56385739546331e-061.11277147909266e-050.999994436142605
395.66393268194933e-061.13278653638987e-050.999994336067318
403.03525818234719e-066.07051636469439e-060.999996964741818
410.7556588694353750.488682261129250.244341130564625
420.6135466634613660.7729066730772690.386453336538634


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level310.885714285714286NOK
5% type I error level330.942857142857143NOK
10% type I error level330.942857142857143NOK