Multiple Linear Regression - Estimated Regression Equation
robberies[t] = + 168.006060941351 + 4.40856645828339month[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)168.00606094135124.9986786.720600
month4.408566458283393.439061.28190.202430.101215


Multiple Linear Regression - Regression Statistics
Multiple R0.118188165015181
R-squared0.0139684423496558
Adjusted R-squared0.00546817030094593
F-TEST (value)1.64329356397197
F-TEST (DF numerator)1
F-TEST (DF denominator)116
p-value0.202430372384786
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation127.693040460136
Sum Squared Residuals1891439.45950664


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
141172.414627399635-131.414627399635
239176.823193857918-137.823193857918
350181.231760316202-131.231760316202
440185.640326774485-145.640326774485
543190.048893232768-147.048893232768
638194.457459691052-156.457459691052
744198.866026149335-154.866026149335
835203.274592607619-168.274592607619
939207.683159065902-168.683159065902
1035212.091725524185-177.091725524185
1129216.500291982469-187.500291982469
1249220.908858440752-171.908858440752
1350172.414627399635-122.414627399635
1459176.823193857918-117.823193857918
1563181.231760316202-118.231760316202
1632185.640326774485-153.640326774485
1739190.048893232768-151.048893232768
1847194.457459691052-147.457459691052
1953198.866026149335-145.866026149335
2060203.274592607619-143.274592607619
2157207.683159065902-150.683159065902
2252212.091725524185-160.091725524185
2370216.500291982469-146.500291982469
2490220.908858440752-130.908858440752
2574172.414627399635-98.4146273996349
2662176.823193857918-114.823193857918
2755181.231760316202-126.231760316202
2884185.640326774485-101.640326774485
2994190.048893232768-96.0488932327684
3070194.457459691052-124.457459691052
31108198.866026149335-90.8660261493352
32139203.274592607619-64.2745926076186
33120207.683159065902-87.683159065902
3497212.091725524185-115.091725524185
35126216.500291982469-90.5002919824688
36149220.908858440752-71.9088584407522
37158172.414627399635-14.4146273996348
38124176.823193857918-52.8231938579182
39140181.231760316202-41.2317603162016
40109185.640326774485-76.640326774485
41114190.048893232768-76.0488932327684
4277194.457459691052-117.457459691052
43120198.866026149335-78.8660261493352
44133203.274592607619-70.2745926076186
45110207.683159065902-97.683159065902
4692212.091725524185-120.091725524185
4797216.500291982469-119.500291982469
4878220.908858440752-142.908858440752
4999172.414627399635-73.4146273996349
50107176.823193857918-69.8231938579182
51112181.231760316202-69.2317603162016
5290185.640326774485-95.640326774485
5398190.048893232768-92.0488932327684
54125194.457459691052-69.4574596910518
55155198.866026149335-43.8660261493352
56190203.274592607619-13.2745926076186
57236207.68315906590228.316840934098
58189212.091725524185-23.0917255241854
59174216.500291982469-42.5002919824688
60178220.908858440752-42.9088584407522
61136172.414627399635-36.4146273996349
62161176.823193857918-15.8231938579182
63171181.231760316202-10.2317603162016
64149185.640326774485-36.640326774485
65184190.048893232768-6.04889323276842
66155194.457459691052-39.4574596910518
67276198.86602614933577.1339738506648
68224203.27459260761920.7254073923814
69213207.6831590659025.31684093409802
70279212.09172552418566.9082744758146
71268216.50029198246951.4997080175312
72287220.90885844075266.0911415592478
73238172.41462739963565.5853726003651
74213176.82319385791836.1768061420818
75257181.23176031620275.7682396837984
76293185.640326774485107.359673225515
77212190.04889323276821.9511067672316
78246194.45745969105251.5425403089482
79353198.866026149335154.133973850665
80339203.274592607619135.725407392381
81308207.683159065902100.316840934098
82247212.09172552418534.9082744758146
83257216.50029198246940.4997080175312
84322220.908858440752101.091141559248
85298172.414627399635125.585372600365
86273176.82319385791896.1768061420818
87312181.231760316202130.768239683798
88249185.64032677448563.359673225515
89286190.04889323276895.9511067672316
90279194.45745969105284.5425403089482
91309198.866026149335110.133973850665
92401203.274592607619197.725407392381
93309207.683159065902101.316840934098
94328212.091725524185115.908274475815
95353216.500291982469136.499708017531
96354220.908858440752133.091141559248
97327172.414627399635154.585372600365
98324176.823193857918147.176806142082
99285181.231760316202103.768239683798
100243185.64032677448557.359673225515
101241190.04889323276850.9511067672316
102287194.45745969105292.5425403089482
103355198.866026149335156.133973850665
104460203.274592607619256.725407392381
105364207.683159065902156.316840934098
106487212.091725524185274.908274475815
107452216.500291982469235.499708017531
108391220.908858440752170.091141559248
109500172.414627399635327.585372600365
110451176.823193857918274.176806142082
111375181.231760316202193.768239683798
112372185.640326774485186.359673225515
113302190.048893232768111.951106767232
114316194.457459691052121.542540308948
115398198.866026149335199.133973850665
116394203.274592607619190.725407392381
117431207.683159065902223.316840934098
118431212.091725524185218.908274475815


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
58.45539593221504e-050.0001691079186443010.999915446040678
64.24121253274766e-068.48242506549533e-060.999995758787467
71.67386859719996e-073.34773719439993e-070.99999983261314
81.19214232751847e-082.38428465503694e-080.999999988078577
94.17329680698925e-108.34659361397851e-100.99999999958267
101.71053846230112e-113.42107692460223e-110.999999999982895
111.69383631115823e-123.38767262231647e-120.999999999998306
122.27822806320118e-124.55645612640236e-120.999999999997722
132.0148205727685e-134.029641145537e-130.999999999999798
141.14983932106603e-132.29967864213206e-130.999999999999885
158.97960447887053e-141.79592089577411e-130.99999999999991
162.25497010812917e-144.50994021625835e-140.999999999999977
172.03999646311921e-154.07999292623843e-150.999999999999998
181.90310746853972e-163.80621493707944e-161
193.84100565931148e-177.68201131862297e-171
202.72224668675239e-175.44449337350478e-171
218.62014676603365e-181.72402935320673e-171
221.38793902107419e-182.77587804214838e-181
232.95763580539019e-185.91527161078038e-181
247.513041170866e-171.5026082341732e-161
258.26403640809659e-171.65280728161932e-161
262.01526703515772e-174.03053407031545e-171
273.63707694197307e-187.27415388394614e-181
287.16477821748374e-181.43295564349675e-171
293.20296818592055e-176.40593637184109e-171
301.11941527636032e-172.23883055272064e-171
311.44282452466779e-162.88564904933558e-161
322.40443718408348e-144.80887436816697e-140.999999999999976
338.79075188467245e-141.75815037693449e-130.999999999999912
346.18247155010763e-141.23649431002153e-130.999999999999938
351.50110506825246e-133.00221013650492e-130.99999999999985
367.96791748503508e-131.59358349700702e-120.999999999999203
372.56196515603515e-115.1239303120703e-110.99999999997438
383.7676700439398e-117.5353400878796e-110.999999999962323
398.1551176154712e-111.63102352309424e-100.999999999918449
406.03984797113182e-111.20796959422636e-100.999999999939602
414.96988457322806e-119.93976914645612e-110.999999999950301
423.18519579501876e-116.37039159003752e-110.999999999968148
433.18135887889753e-116.36271775779506e-110.999999999968186
444.32886845867008e-118.65773691734016e-110.999999999956711
453.79299088879944e-117.58598177759888e-110.99999999996207
463.38225374496622e-116.76450748993245e-110.999999999966177
473.56219119580888e-117.12438239161775e-110.999999999964378
485.92063963202442e-111.18412792640488e-100.999999999940794
494.78221854966784e-119.56443709933568e-110.999999999952178
504.61484351867862e-119.22968703735724e-110.999999999953852
515.23081964969037e-111.04616392993807e-100.999999999947692
526.49500421919825e-111.29900084383965e-100.99999999993505
539.6177502562422e-111.92355005124844e-100.999999999903822
541.98809240107658e-103.97618480215316e-100.999999999801191
558.28599314555244e-101.65719862911049e-090.999999999171401
569.40568161487846e-091.88113632297569e-080.999999990594318
573.52639534083599e-077.05279068167199e-070.999999647360466
581.35537289788226e-062.71074579576453e-060.999998644627102
593.89773387505815e-067.79546775011629e-060.999996102266125
601.23289535446879e-052.46579070893757e-050.999987671046455
612.17098966590061e-054.34197933180121e-050.999978290103341
624.62865424686942e-059.25730849373883e-050.999953713457531
630.0001060572102896630.0002121144205793250.99989394278971
640.0002451734570927060.0004903469141854120.999754826542907
650.000628872530431820.001257745060863640.999371127469568
660.001701785323203220.003403570646406440.998298214676797
670.009138027611380060.01827605522276010.99086197238862
680.01982672870246360.03965345740492710.980173271297536
690.03905789949696230.07811579899392460.960942100503038
700.0836785830997080.1673571661994160.916321416900292
710.1388933631276890.2777867262553780.861106636872311
720.2113521270089320.4227042540178650.788647872991068
730.2758233935091290.5516467870182590.724176606490871
740.3395803529864810.6791607059729630.660419647013519
750.4096302428353380.8192604856706770.590369757164662
760.4928319302358580.9856638604717160.507168069764142
770.5771402094215360.8457195811569280.422859790578464
780.6420470378215890.7159059243568220.357952962178411
790.7403840798000540.5192318403998920.259615920199946
800.7921803376712630.4156393246574730.207819662328737
810.8158007022893950.368398595421210.184199297710605
820.8574014351550390.2851971296899230.142598564844961
830.8968227345030570.2063545309938850.103177265496943
840.9119241294523320.1761517410953360.0880758705476681
850.9175248682575760.1649502634848480.0824751317424242
860.9199071129227860.1601857741544280.0800928870772141
870.9211406083464560.1577187833070890.0788593916535444
880.9334597003988990.1330805992022020.0665402996011012
890.9367878754621470.1264242490757070.0632121245378533
900.9436177136209520.1127645727580960.0563822863790481
910.9446596244991940.1106807510016120.0553403755008058
920.9513566440177480.09728671196450360.0486433559822518
930.9520817966625280.09583640667494490.0479182033374725
940.9505385495121630.09892290097567410.049461450487837
950.9461902232322880.1076195535354250.0538097767677125
960.9430763327739830.1138473344520330.0569236672260167
970.9320391539405010.1359216921189980.0679608460594992
980.917268180992490.1654636380150190.0827318190075096
990.9110636813885070.1778726372229860.088936318611493
1000.9421158473074230.1157683053851530.0578841526925765
1010.9773945196661910.04521096066761780.0226054803338089
1020.987742849857980.02451430028403960.0122571501420198
1030.9850498742389290.0299002515221420.014950125761071
1040.98451644430910.03096711138180030.0154835556909001
1050.9784069430183120.04318611396337530.0215930569816876
1060.9834544487305570.03309110253888530.0165455512694426
1070.9808018799766610.03839624004667850.0191981200233392
1080.9643181180035820.07136376399283660.0356818819964183
1090.9847104959163640.03057900816727120.0152895040836356
1100.9955608440446020.008878311910796660.00443915595539833
1110.9941874160422890.01162516791542290.00581258395771143
1120.9979035491396340.004192901720732510.00209645086036625
1130.9884788923143520.0230422153712950.0115211076856475


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level640.587155963302752NOK
5% type I error level760.697247706422018NOK
10% type I error level810.743119266055046NOK