Multiple Linear Regression - Estimated Regression Equation
Y[t] = -0.0956913721724628 + 1.00521297181906X[t] -0.468065856891305M1[t] -0.233556766831644M2[t] + 0.152610048266569M3[t] + 0.341963639761006M4[t] + 0.535786398719157M5[t] + 0.476941897284473M6[t] + 0.644149525567973M7[t] + 0.7582120812298M8[t] + 0.972107821793418M9[t] + 0.54222072599492M10[t] + 0.242594278787373M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.09569137217246282.760814-0.03470.9724970.486249
X1.005212971819060.02429341.378100
M1-0.4680658568913050.376634-1.24280.2201210.11006
M2-0.2335567668316440.376015-0.62110.5375110.268756
M30.1526100482665690.3760780.40580.6867360.343368
M40.3419636397610060.3758440.90990.3675410.18377
M50.5357863987191570.3757831.42580.1605390.080269
M60.4769418972844730.3755221.27010.2103090.105154
M70.6441495255679730.3753131.71630.0926930.046346
M80.75821208122980.3753282.02010.049090.024545
M90.9721078217934180.3753032.59020.0127330.006367
M100.542220725994920.3749571.44610.1547890.077395
M110.2425942787873730.3748250.64720.5206380.260319


Multiple Linear Regression - Regression Statistics
Multiple R0.987125789053487
R-squared0.974417323414469
Adjusted R-squared0.967885576201141
F-TEST (value)149.181726051232
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.592634001321065
Sum Squared Residuals16.5071077975254


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1107.11107.556950019794-0.446950019794272
2107.57107.932188925909-0.362188925909045
3107.81108.288199351853-0.47819935185267
4108.75108.4775529433470.272447056652891
5109.43108.7216363508960.708363649103795
6109.62109.2960760217080.323923978292471
7109.54109.3627623528090.177237647190873
8109.53109.4868770381890.0431229618108451
9109.84109.7510334273440.08896657265628
10109.67109.3412505909820.328749409018399
11109.79109.0717805329290.718219467071378
12109.56108.8291862541410.730813745858746
13110.22108.9743003100601.24569968994042
14110.4109.8621978318020.537802168198367
15110.69110.2282603874630.461739612536538
16110.72110.4578224978310.262177502169334
17110.89110.6616973865070.228302613492988
18110.58110.592800755354-0.0128007553541341
19110.94111.051520145465-0.111520145465170
20110.91111.044957144509-0.134957144508706
21111.22111.2186443662000.00135563380044771
22111.09111.120477551101-0.0304775511013389
23111111.122414995440-0.122414995439526
24111.06110.9803420138340.0796579861659482
25111.55111.909522187771-0.359522187771252
26112.32112.355126001913-0.0351260019129142
27112.64112.5603544820840.0796455179163046
28112.36112.980907057097-0.620907057096522
29112.04113.184781945773-1.14478194577285
30112.37113.135989574056-0.765989574056362
31112.59113.453979148113-0.863979148112714
32112.89113.628354482084-0.73835448208369
33113.22113.802041703775-0.582041703774555
34112.85114.176324985431-1.32632498543131
35113.06113.916907057097-0.856907057096523
36112.99113.704469167464-0.714469167463717
37113.32113.789270445073-0.46927044507291
38113.74114.254978518651-0.514978518650945
39113.91114.600936814876-0.690936814876401
40114.52114.770186146934-0.250186146934460
41114.96115.044425943638-0.0844259436381378
42114.91115.076050609667-0.166050609667156
43115.3115.2533103676690.0466896323311486
44115.44115.3573207936120.0826792063875177
45115.52115.591320793612-0.0713207936124928
46116.08115.7243529620330.355647037967329
47115.94115.4548829039800.485117096020317
48115.56115.2323928846290.327607115371302
49115.88115.8499570373020.0300429626980139
50116.66116.2855087217250.374491278274537
51117.41116.7822489637240.627751036276228
52117.68117.3435313547910.336468645208758
53117.85117.5574583731860.292541626814202
54118.21117.5890830392150.620916960785181
55118.92118.1684279859440.751572014055861
56119.03118.2824905416060.747509458394033
57119.17118.6069597090700.56304029093032
58118.95118.2775939104530.672406089546919
59118.92119.144014510556-0.224014510555646
60118.9119.323609679932-0.423609679932279


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.6271818544955760.7456362910088480.372818145504424
170.7606694766446240.4786610467107520.239330523355376
180.717915287023870.5641694259522610.282084712976130
190.665407489564590.6691850208708210.334592510435410
200.5812311978378360.8375376043243270.418768802162164
210.4990498408083130.9980996816166260.500950159191687
220.4697766762394970.9395533524789940.530223323760503
230.5468286870287980.9063426259424050.453171312971202
240.6489340160605330.7021319678789340.351065983939467
250.6271837843669290.7456324312661430.372816215633071
260.5717269908280270.8565460183439460.428273009171973
270.5554377853794330.8891244292411340.444562214620567
280.5219957968681490.9560084062637020.478004203131851
290.6478994567591360.7042010864817270.352100543240864
300.5863029776273750.827394044745250.413697022372625
310.5451144561450940.9097710877098130.454885543854906
320.4828472117692550.965694423538510.517152788230745
330.3903021235708330.7806042471416650.609697876429167
340.639500396060080.7209992078798390.360499603939919
350.6054653855486110.7890692289027780.394534614451389
360.5221744605732310.9556510788535370.477825539426769
370.4313711348786310.8627422697572620.568628865121369
380.3987199912267550.797439982453510.601280008773245
390.5186709734674790.9626580530650410.481329026532521
400.4615147954661230.9230295909322460.538485204533877
410.3883342132980950.776668426596190.611665786701905
420.3917398107072630.7834796214145270.608260189292737
430.4118631781504850.823726356300970.588136821849515
440.4532546331544130.9065092663088270.546745366845587


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