Multiple Linear Regression - Estimated Regression Equation
total[t] = -0.0372452799848391 + 0.87753017134208white[t] + 0.122533441363072black[t] + 0.0130005907426916M1[t] + 0.292542567990245M2[t] + 0.237974284920121M3[t] -0.10830558120021M4[t] -0.119233354462568M5[t] -0.190012153335088M6[t] + 0.0245086645433465M7[t] -0.0610894833299801M8[t] + 0.0488627128804819M9[t] + 0.355590413393966M10[t] + 0.0374019365786693M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.03724527998483910.142648-0.26110.7946710.397335
white0.877530171342088.9e-059810.648900
black0.1225334413630720.0001131086.802900
M10.01300059074269160.1998040.06510.9482790.47414
M20.2925425679902450.1980581.47710.1434920.071746
M30.2379742849201210.1984071.19940.2338170.116909
M4-0.108305581200210.198648-0.54520.5870860.293543
M5-0.1192333544625680.201788-0.59090.5562230.278112
M6-0.1900121533350880.197748-0.96090.3394380.169719
M70.02450866454334650.1984030.12350.901990.450995
M8-0.06108948332998010.197081-0.310.7573690.378685
M90.04886271288048190.1971980.24780.804920.40246
M100.3555904133939660.1970851.80430.0748640.037432
M110.03740193657866930.2013850.18570.853120.42656


Multiple Linear Regression - Regression Statistics
Multiple R0.999999987663327
R-squared0.999999975326653
Adjusted R-squared0.999999971415025
F-TEST (value)255648017.624669
F-TEST (DF numerator)13
F-TEST (DF denominator)82
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.394107153553734
Sum Squared Residuals12.7362767755425


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
161296128.371641941950.628358058053587
236243623.907263445150.0927365548465218
3502501.715218834550.284781165450305
4165164.9045373987660.0954626012337657
5337337.185453106558-0.185453106557786
6784783.865964041680.134035958319884
7217217.017106472817-0.0171064728173967
8149148.7292218429880.270778157011909
9117116.7937893184730.206210681527257
10138138.453414078643-0.453414078642765
11117117.070744539058-0.0707445390579793
124646.0882143458153-0.0882143458153017
13380380.478791052489-0.478791052489146
14141140.8731133229820.12688667701751
15240240.08594871169-0.0859487116895804
16679678.9495165098960.0504834901041604
17232231.8743186443890.125681355611042
18210210.189536771893-0.189536771892897
19113112.6070552143510.392944785649017
20124123.9293492939250.0706507060753233
2112781277.580239001270.419760998729729
22132131.8959964904390.104003509561357
23103102.413837640210.586162359790219
24667666.1955676985330.804432301466974
25333333.115714832377-0.11571483237705
264343.4597504028922-0.459750402892217
2725052504.067119307640.932880692362096
28412411.7195432973760.280456702624115
291655716557.1924769774-0.192476977407792
3098129811.882789033720.11721096627993
3162776276.849174271980.150825728024849
3233513351.24242149803-0.242421498025958
3318141813.72010675780.279893242198133
3411121112.25354387594-0.253543875941876
3529002899.97309080840.0269091916044961
36635635.237956147837-0.237956147836565
3736603659.706161865480.293838134518412
38440440.065529978466-0.0655299784659777
3914131413.25853549483-0.258535494833507
40140140.120703980944-0.12070398094368
4111781177.922214082780.0777859172184139
42489489.167692553029-0.167692553029038
4310071007.65748601335-0.657486013345428
44340340.160846538044-0.16084653804388
45667667.422658760324-0.422658760323925
46612611.6899889363070.310011063692718
47150149.9899024805660.0100975194338455
48329328.6679573202040.332042679796455
49132132.652450689495-0.652450689495477
5014671466.721933446410.278066553587536
51102102.796331675316-0.796331675316071
52355355.466145823599-0.466145823599197
533636.051286142063-0.051286142062978
54209208.7624845896970.237515410303346
55107106.5001792279980.49982077200222
56657656.5731128383240.42688716167611
5717001699.381812761920.61818723808105
58382382.354927367459-0.35492736745859
59304303.8065062987160.193493701284051
607878.0704538705795-0.0704538705795228
61663662.437341589940.562658410059612
62562561.9357294848930.0642705151069005
63101100.8593496458670.140650354133144
649190.3899002113320.610099788668008
65303303.558404499791-0.558404499790942
66261261.394498788421-0.394498788420986
6776777677.73354391632-0.733543916320486
6825882587.877147695190.122852304814365
6912191219.49837646617-0.498376466171633
7013181317.910318620790.0896813792070825
7121322132.26784894447-0.267848944465754
7224642463.856656118990.143343881011325
73243243.007252329351-0.00725232935065741
74787787.452458289686-0.452458289685903
7510101010.32060913198-0.320609131981221
76423423.522345831832-0.522345831832025
77493492.5751955806270.424804419373168
7831573156.359454742930.640545257073889
7918311830.881501433770.118498566225763
80722722.435993082703-0.435993082702744
81485485.268751724822-0.268751724822489
82119118.9743538524740.025646147526148
8325042504.28327600611-0.283276006111097
84581581.088434588035-0.0884345880350691
85954954.230645698919-0.230645698919281
86606605.5842216295140.415778370485629
87364363.8968871981250.103112801874834
88582581.9273069462550.0726930537448529
8910099.64065096638310.359349033616874
9010741074.37757947863-0.377579478634127
91362361.7539534494190.246046550581461
92849849.051907210805-0.0519072108051262
9316331633.33426520922-0.334265209218122
9453735372.467456777940.532543222055926
95318318.194793282478-0.194793282477782
9650545054.79475991001-0.794759910008295


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.1992528347517470.3985056695034940.800747165248253
180.2171689682807990.4343379365615980.782831031719201
190.193704276698980.3874085533979610.80629572330102
200.1210141089173870.2420282178347740.878985891082613
210.06844419417029640.1368883883405930.931555805829704
220.0752635122486750.150527024497350.924736487751325
230.1097728023228230.2195456046456470.890227197677177
240.2013719505562740.4027439011125470.798628049443726
250.1711903337229330.3423806674458670.828809666277067
260.157162953754470.314325907508940.84283704624553
270.1821794890588320.3643589781176640.817820510941168
280.1338074351137140.2676148702274280.866192564886286
290.153108951626660.3062179032533190.84689104837334
300.1350304468284360.2700608936568730.864969553171564
310.358016989350110.716033978700220.64198301064989
320.3529828107859680.7059656215719370.647017189214032
330.3061549604414480.6123099208828960.693845039558552
340.2549843780958180.5099687561916360.745015621904182
350.2007327681150670.4014655362301330.799267231884933
360.2186369297556590.4372738595113190.781363070244341
370.2040677533964620.4081355067929240.795932246603538
380.1564725241201050.312945048240210.843527475879895
390.1739682029363650.347936405872730.826031797063635
400.1409196352209810.2818392704419630.859080364779019
410.1107278561218560.2214557122437130.889272143878144
420.08394003979416590.1678800795883320.916059960205834
430.1559003226589590.3118006453179180.844099677341041
440.122757944333690.245515888667380.87724205566631
450.1519346745683190.3038693491366380.848065325431681
460.1456296625949160.2912593251898330.854370337405084
470.1146428707450830.2292857414901650.885357129254917
480.09835339323136720.1967067864627340.901646606768633
490.1600066027022840.3200132054045680.839993397297716
500.1406732597666950.2813465195333910.859326740233305
510.28132426861160.5626485372231990.7186757313884
520.2950990054703780.5901980109407570.704900994529622
530.2408646941059360.4817293882118720.759135305894064
540.2112649661867450.422529932373490.788735033813255
550.2224133913184780.4448267826369560.777586608681522
560.2302084792604990.4604169585209990.769791520739501
570.4019259110272990.8038518220545980.598074088972701
580.406076840495140.812153680990280.59392315950486
590.3681409976981590.7362819953963180.631859002301841
600.3119549183536740.6239098367073480.688045081646326
610.3805714448172620.7611428896345250.619428555182738
620.3169935235870480.6339870471740950.683006476412952
630.261598201470550.5231964029411010.73840179852945
640.3611623844020070.7223247688040130.638837615597993
650.498488336727340.996976673454680.50151166327266
660.4906188897876390.9812377795752780.509381110212361
670.628281998542470.743436002915060.37171800145753
680.5784973830685220.8430052338629560.421502616931478
690.5481896007243590.9036207985512820.451810399275641
700.4705459108926830.9410918217853670.529454089107317
710.3938756515846010.7877513031692010.606124348415399
720.5024896893147120.9950206213705760.497510310685288
730.4037361025478370.8074722050956740.596263897452163
740.4522487719887320.9044975439774640.547751228011268
750.3919650269586110.7839300539172220.608034973041389
760.4096936101008910.8193872202017830.590306389899109
770.3067911968391670.6135823936783350.693208803160833
780.5841641329348290.8316717341303410.415835867065171
790.4195959149422080.8391918298844160.580404085057792


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