Multiple Linear Regression - Estimated Regression Equation
ipchn[t] = + 72.0310065429256 + 0.454345599215138Tip[t] -0.367700417679697M1[t] -4.49300307308312M2[t] -0.194193207476405M3[t] -3.98677708605355M4[t] -4.58869119843028M5[t] -5.64310424677002M6[t] + 5.2881430931375M7[t] -2.51335481846447M8[t] -5.75753778233051M9[t] -7.17562366995377M10[t] -5.75315845855307M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)72.031006542925615.5433624.63422.9e-051.4e-05
Tip0.4543455992151380.15292.97150.0046590.00233
M1-0.3677004176796973.236915-0.11360.9100420.455021
M2-4.493003073083123.22724-1.39220.1704110.085205
M3-0.1941932074764053.623232-0.05360.9574840.478742
M4-3.986777086053553.242583-1.22950.2250020.112501
M5-4.588691198430283.234822-1.41850.1626330.081317
M6-5.643104246770023.688326-1.530.1327220.066361
M75.28814309313753.8533891.37230.1764730.088237
M8-2.513354818464473.255927-0.77190.4440190.222009
M9-5.757537782330513.730818-1.54320.129480.06474
M10-7.175623669953773.768407-1.90420.0630220.031511
M11-5.753158458553073.390656-1.69680.0963550.048177


Multiple Linear Regression - Regression Statistics
Multiple R0.570122019367822
R-squared0.325039116968044
Adjusted R-squared0.152708678747119
F-TEST (value)1.88613874788242
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value0.0610475160037202
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.09179673527599
Sum Squared Residuals1218.54051768826


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1116.7115.9165674888010.783432511199086
2109111.609526593711-2.60952659371103
3119.5119.724839492725-0.224839492724873
4115.1114.7055224962670.394477503733143
5107.1112.013618627500-4.91361862750048
6109.7113.867017414138-4.16701741413762
7110.4117.028955007466-6.62895500746629
8105110.363321093902-5.36332109390216
9115.8116.160615554417-0.36061555441738
10116.4115.6057863053030.794213694697134
11111.1111.0763241669850.0236758330147292
12119.5116.0570951068733.4429048931274
13110.9114.871572610606-3.97157261060565
14115.1111.6095265937113.49047340628900
15125.2123.0415623669952.15843763300463
16116114.7963916161101.20360838389012
17112.9111.695576708051.20442329195012
18121.7117.0020020487224.69799795127792
19123.2117.0289550074666.17104499253371
20116.6113.4983057284873.10169427151338
21136.2118.11430163104218.0856983689575
22120.9114.9697024664025.93029753359833
23119.6113.4843558428266.11564415717449
24125.9118.1925194231847.70748057681626
25116.1114.6443998109981.45560018900191
26107.5111.109746434574-3.60974643457434
27116.7119.406797573274-2.70679757327427
28112.5114.750957056188-2.25095705618836
29113112.0136186275000.98638137249952
30126.4118.137866046768.26213395324008
31114.1114.0757086125680.0242913874320967
32112.5112.99852556935-0.498525569349962
33112.4117.705390591749-5.30539059174884
34113.1112.9705818298550.129418170144920
35116.3115.7106492789800.589350721020324
36111.7118.510561342634-6.81056134263434
37118.8116.6435204475452.15647955245531
38116.5113.2906053108073.20939468919300
39125.1124.3137300447980.786269955202232
40113.1113.796831297837-0.696831297836579
41119.6117.3748966982392.22510330176088
42114.4118.455907966211-4.05590796621051
43114116.120263809036-2.12026380903602
44117.8115.1793844455832.62061555441737
45117118.432343550493-1.43234355049306
46120.9117.7866451815363.11335481846447
47115117.573466235762-2.57346623576174
48117.3118.374257662870-1.07425766286981
49119.4119.823939642051-0.423939642050653
50114.9115.380595067197-0.480595067196628
51125.8125.813070522208-0.0130705222077194
52117.6116.2502975335981.34970246640168
53117.6117.102289338710.497710661289967
54114.9119.63720652417-4.73720652416987
55121.9119.3461175634632.55388243653651
56117116.8604631626790.139536837321364
57106.4117.387348672298-10.9873486722982
58110.5120.467284216905-9.96728421690485
59113.6117.755204475448-4.1552044754478
60114.2117.465566464440-3.26556646443952


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.1544878781173450.308975756234690.845512121882655
170.1603379503409420.3206759006818830.839662049659058
180.1135572246999520.2271144493999040.886442775300048
190.3336434360250010.6672868720500010.666356563975
200.2313054076969330.4626108153938660.768694592303067
210.7895518660671930.4208962678656140.210448133932807
220.8060947752272410.3878104495455170.193905224772759
230.7794020463225150.441195907354970.220597953677485
240.8463348474925960.3073303050148080.153665152507404
250.8120650110540540.3758699778918920.187934988945946
260.7867734359920380.4264531280159250.213226564007963
270.744628104224640.510743791550720.25537189577536
280.6861134622409250.627773075518150.313886537759075
290.6194258216498490.7611483567003020.380574178350151
300.822922347274260.3541553054514810.177077652725740
310.8228815507734450.3542368984531100.177118449226555
320.7836817293482160.4326365413035690.216318270651784
330.8997094480430130.2005811039139750.100290551956987
340.8476192870190.3047614259619980.152380712980999
350.8353334699497160.3293330601005680.164666530050284
360.8914747721538520.2170504556922970.108525227846148
370.8308378994752730.3383242010494530.169162100524727
380.7635883570145290.4728232859709420.236411642985471
390.6694388008834020.6611223982331960.330561199116598
400.5696317143277340.8607365713445310.430368285672266
410.4524142360401790.9048284720803580.547585763959821
420.3672292409075050.734458481815010.632770759092495
430.3922696386173720.7845392772347440.607730361382628
440.2487960861460820.4975921722921630.751203913853918


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