Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 100.808693644493 -0.421986537277549X[t] + 1.28993303416181M1[t] + 3.17167550485208M2[t] + 12.8478278608285M3[t] + 6.35093055337301M4[t] + 5.48625841420152M5[t] + 13.2690597604738M6[t] -10.4210993268639M7[t] -0.736125841420165M8[t] + 13.6835993268639M9[t] + 15.5769503365680M10[t] + 7.57947685112434M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)100.8086936444936.1134916.489500
X-0.4219865372775490.735183-0.5740.5675090.283755
M11.289933034161812.6230950.49180.6241720.312086
M23.171675504852082.6992311.1750.2433030.121652
M312.84782786082852.7036074.75218e-064e-06
M46.350930553373012.7160732.33830.021750.010875
M55.486258414201522.7379222.00380.0483140.024157
M613.26905976047382.7512154.8236e-063e-06
M7-10.42109932686392.69934-3.86060.0002210.000111
M8-0.7361258414201652.699481-0.27270.785760.39288
M913.68359932686392.699345.06922e-061e-06
M1015.57695033656802.6991535.771100
M117.579476851124342.7009822.80620.0062290.003115


Multiple Linear Regression - Regression Statistics
Multiple R0.823138113126992
R-squared0.677556353282265
Adjusted R-squared0.631492975179731
F-TEST (value)14.7092198009029
F-TEST (DF numerator)12
F-TEST (DF denominator)84
p-value4.44089209850063e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.3981798736166
Sum Squared Residuals2447.78905962523


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
198.899.440111493805-0.64011149380493
2100.5101.406251271952-0.906251271951684
3110.4111.082403627928-0.682403627928092
496.4104.501109013017-8.1011090130171
5101.9103.636436873846-1.73643687384559
6106.2111.545834181301-5.34583418130114
78187.771277786508-6.77127778650797
894.797.3718539644962-2.67185396449618
9101111.622784517869-10.6227845178692
10109.4113.220744951479-3.82074495147908
11102.3105.223271466035-2.92327146603534
1290.797.6015959611832-6.90159596118324
1396.298.891528995345-2.6915289953451
1496.1100.857668773491-4.75766877349087
15106110.576019783195-4.57601978319505
16103.1104.163519783195-1.06351978319505
17102103.383244951479-1.38324495147908
18104.7111.208244951479-6.50824495147908
198687.2226952880471-1.22269528804714
2092.196.8654701197631-4.76547011976311
21106.9111.200797980592-4.30079798059163
22112.6113.009751682840-0.409751682840315
23101.7104.970079543669-3.27007954366883
249297.3484040388167-5.34840403881674
2597.498.5961384192508-1.19613841925080
2697100.520079543669-3.52007954366882
27105.4110.280629207101-4.88062920710076
28102.7103.825930553373-1.12593055337301
2998.1103.087854375385-4.9878543753848
30104.5110.870655721657-6.37065572165704
3187.486.88510605822510.514893941774906
3289.996.527880889941-6.62788088994106
33109.8110.947606058225-1.14760605822511
34111.7112.840957067929-1.14095706792928
3598.6104.843483582486-6.24348358248557
3696.997.1796094239057-0.279609423905713
3795.198.3429464968843-3.24294649688429
3897100.266887621302-3.26688762130230
39112.7110.1540332459182.5459667540825
40102.9103.994725168284-1.09472516828402
4197.4103.256648990296-5.85664899029581
42111.4110.9550530291130.444946970887453
4387.486.67411278958630.725887210413681
4496.896.14809300639130.651906993608724
45114.1110.5678181746753.53218182532468
46110.3112.714361106746-2.41436110674603
47103.9104.927880889941-1.02788088994107
48101.697.3062053850894.29379461491101
4994.698.5117411117953-3.9117411117953
5095.9100.351284928758-4.45128492875780
51104.7110.069635938462-5.36963593846199
52102.8103.699334592190-0.899334592189746
5398.1102.876861106746-4.77686110674603
54113.9110.7440597604743.15594023952623
5580.986.7585100970418-5.85851009704183
5695.796.4012849287578-0.701284928757804
57113.2110.8210100970422.37898990295816
58105.9112.798758414202-6.89875841420153
59108.8104.8434835824863.95651641751443
60102.397.22180807763355.07819192236652
619998.42734380433980.572656195660208
62100.7100.309086275030.390913724969953
63115.5110.0274372847345.47256271526576
64100.7103.572738631006-2.87273863100648
65109.9102.7924637992917.10753620070949
66114.6110.7018611067463.89813889325398
6785.486.9273047119529-1.52730471195285
68100.596.65447685112433.84552314887567
69114.8111.0742020194083.72579798059163
70116.5113.0097516828403.49024831715969
71112.9105.0544768511247.84552314887566
7210297.4754.52499999999999
7310698.7227343804347.27726561956593
74105.3100.6044768511244.69552314887566
75118.8110.3228278608298.47717213917147
76106.1103.7837318996452.31626810035474
77109.3103.0456557216576.25434427834296
78117.2111.0394503365686.16054966343194
7992.587.22269528804715.27730471195286
80104.296.99206608094647.20793391905363
81112.5111.5383872104140.961612789586324
82122.4113.4317382201188.96826177988215
83113.3105.4342647346747.86573526532586
8410097.77039057609432.22960942390571
85110.799.018124956528411.6818750434716
86112.8100.98426473467411.8157352653259
87109.8110.787013051834-0.987013051833833
88117.3104.45891035928912.8410896407107
89109.1103.7208341813015.37916581869887
90115.9111.3348409126624.56515908733766
919687.13829798059168.86170201940837
9299.896.73887415857983.06112584142015
93116.8111.3273939417755.4726060582251
94115.7113.4739368738462.22606312615439
9599.4105.603059349585-6.20305934958515
9694.397.8969865372776-3.59698653727756
979198.8493303416173-7.84933034161734


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.2937304445079710.5874608890159420.706269555492029
170.1582499673393310.3164999346786620.841750032660669
180.08393580068370080.1678716013674020.916064199316299
190.1017454779945500.2034909559891000.89825452200545
200.06153883421854570.1230776684370910.938461165781454
210.07696749787794920.1539349957558980.92303250212205
220.05109505491352130.1021901098270430.948904945086479
230.02798428887534460.05596857775068920.972015711124655
240.01622219383170370.03244438766340730.983777806168296
250.00806792496144460.01613584992288920.991932075038555
260.004391781421473150.00878356284294630.995608218578527
270.002995156638864910.005990313277729830.997004843361135
280.002113884861999710.004227769723999410.997886115138
290.001862743832352010.003725487664704020.998137256167648
300.001221032737228990.002442065474457980.998778967262771
310.001113641435688970.002227282871377930.99888635856431
320.001112554222524780.002225108445049560.998887445777475
330.001885790549567290.003771581099134580.998114209450433
340.0009651816322625130.001930363264525030.999034818367738
350.0008657965112211190.001731593022442240.99913420348878
360.001094464100954470.002188928201908950.998905535899046
370.0007030532610314950.001406106522062990.999296946738969
380.0004044311148243050.000808862229648610.999595568885176
390.0005287020320058320.001057404064011660.999471297967994
400.0003446190509863960.0006892381019727910.999655380949014
410.0004569547415426520.0009139094830853040.999543045258457
420.0007762261343155930.001552452268631190.999223773865684
430.0004649760444776270.0009299520889552540.999535023955522
440.0003504551476750010.0007009102953500010.999649544852325
450.000710843511050.00142168702210.99928915648895
460.0004087469316390500.0008174938632781010.999591253068361
470.0002732768379682170.0005465536759364340.999726723162032
480.000742924306343120.001485848612686240.999257075693657
490.0005966886307459760.001193377261491950.999403311369254
500.0006175428047682370.001235085609536470.999382457195232
510.0008683825696834740.001736765139366950.999131617430317
520.0005423918561415810.001084783712283160.999457608143858
530.00071455800350430.00142911600700860.999285441996496
540.0009133667237597690.001826733447519540.99908663327624
550.001592573236569350.003185146473138690.99840742676343
560.001110996979775350.00222199395955070.998889003020225
570.0009293384778440180.001858676955688040.999070661522156
580.002340157853242820.004680315706485640.997659842146757
590.002805093029443860.005610186058887730.997194906970556
600.003862022671035950.007724045342071890.996137977328964
610.002474895669496740.004949791338993490.997525104330503
620.002379944715724150.00475988943144830.997620055284276
630.002605901311822050.005211802623644110.997394098688178
640.003928251255220850.00785650251044170.99607174874478
650.005889591226098230.01177918245219650.994110408773902
660.004704734886817660.009409469773635320.995295265113182
670.005688551342451270.01137710268490250.994311448657549
680.005111686190902990.01022337238180600.994888313809097
690.004012056615888960.008024113231777930.995987943384111
700.003648506835255390.007297013670510780.996351493164745
710.006864810052359640.01372962010471930.99313518994764
720.006504941742122360.01300988348424470.993495058257878
730.008765394512577720.01753078902515540.991234605487422
740.009074205494805980.01814841098961200.990925794505194
750.01894440082396030.03788880164792070.98105559917604
760.02191448174526740.04382896349053480.978085518254733
770.01517772855150920.03035545710301850.98482227144849
780.01010269454273560.02020538908547110.989897305457264
790.006922909573707390.01384581914741480.993077090426293
800.005455546727401670.01091109345480330.994544453272598
810.002364116988803780.004728233977607550.997635883011196


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level430.651515151515151NOK
5% type I error level580.878787878787879NOK
10% type I error level590.893939393939394NOK