Multiple Linear Regression - Estimated Regression Equation
ipchn[t] = + 95.1964775705906 + 0.202879658540295Tip[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)95.19647757059068.03171411.852600
Tip0.2028796585402950.0771122.6310.0108880.005444


Multiple Linear Regression - Regression Statistics
Multiple R0.326528131701518
R-squared0.106620620792484
Adjusted R-squared0.0912175280475269
F-TEST (value)6.92202680058462
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.0108877211807719
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.27332636197745
Sum Squared Residuals1612.86231335572


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1116.7114.9569563124161.74304368758425
2109114.875804448999-5.87580444899926
3119.5116.5799935807382.9200064192623
4115.1116.032218502679-0.932218502678914
5107.1115.098972073394-7.99897207339356
6109.7116.397401888051-6.69740188805143
7110.4112.928159727012-2.5281597270124
8105113.435358873363-8.43535887336314
9115.8117.472664078315-1.672664078315
10116.4117.858135429542-1.45813542954155
11111.1115.200411902664-4.10041190266371
12119.5114.8555164831454.6444835168548
13110.9114.490333097773-3.59033309777267
14115.1114.8758044489990.224195551000763
15125.2118.0610150880827.13898491191815
16116116.072794434387-0.0727944343869676
17112.9114.956956312415-2.05695631241534
18121.7117.7972715319793.90272846802053
19123.2112.92815972701210.2718402729876
20116.6114.8352285172911.76477148270882
21136.2118.34504661003817.8549533899617
22120.9117.5741039075853.32589609241486
23119.6116.2756740929273.32432590707273
24125.9115.80905087828510.0909491217154
25116.1114.3888932685031.71110673149747
26107.5114.652636824605-7.15263682460491
27116.7116.4379778197590.262022180240506
28112.5116.052506468533-3.55250646853294
29113115.098972073394-2.09897207339355
30126.4118.3044706783308.0955293216698
31114.1111.6094419465002.4905580534995
32112.5114.612060892897-2.11206089289685
33112.4118.162454917352-5.76245491735199
34113.1116.681433410008-3.58143341000786
35116.3117.269784419775-0.969784419774704
36111.7115.951066639263-4.25106663926279
37118.8115.2815637660803.51843623392018
38116.5115.6264591855980.87354081440168
39125.1118.6290781319956.47092186800532
40113.1115.626459185598-2.52645918559833
41119.6117.4929520441692.10704795583097
42114.4118.446486439308-4.0464864393084
43114112.5224004099321.47759959006818
44117.8115.5858832538902.21411674610974
45117118.487062371016-1.48706237101647
46120.9118.8319577905352.06804220946504
47115118.10159101979-3.10159101978991
48117.3115.8902027417011.40979725829930
49119.4116.7017213758622.69827862413813
50114.9116.559705614884-1.65970561488367
51125.8119.2985810051786.50141899482235
52117.6116.7220093417160.877990658284088
53117.6117.3712242490450.228775750955146
54114.9118.973973551513-4.07397355151317
55121.9113.9628459855687.9371540144321
56117116.3365379904890.66346200951065
57106.4118.020439156374-11.6204391563738
58110.5120.028947775923-9.5289477759227
59113.6118.182742883206-4.58274288320603
60114.2115.48444342462-1.28444342462011


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.4309819379290040.8619638758580080.569018062070996
60.5234754376002160.9530491247995690.476524562399784
70.4125881452593990.8251762905187980.587411854740601
80.3886094478665920.7772188957331840.611390552133408
90.2756256656293960.5512513312587920.724374334370604
100.1851638191570730.3703276383141460.814836180842927
110.1243949093596560.2487898187193110.875605090640344
120.2463346568634340.4926693137268690.753665343136566
130.1808323503658940.3616647007317870.819167649634106
140.1422128463613680.2844256927227350.857787153638632
150.2013189691583680.4026379383167360.798681030841632
160.1437792447902350.287558489580470.856220755209765
170.1013661252085900.2027322504171810.89863387479141
180.07728331536820860.1545666307364170.922716684631791
190.4177889889590230.8355779779180450.582211011040977
200.3545311927680730.7090623855361460.645468807231927
210.9167229765637630.1665540468724740.083277023436237
220.8926212998314720.2147574003370560.107378700168528
230.8645294132848140.2709411734303720.135470586715186
240.9443116252546160.1113767494907680.0556883747453842
250.9233780670869690.1532438658260620.0766219329130312
260.947152585770940.1056948284581190.0528474142290594
270.9242197132015630.1515605735968750.0757802867984373
280.9135258866636960.1729482266726080.0864741133363041
290.8876662885288750.2246674229422510.112333711471125
300.9360271952674520.1279456094650960.0639728047325481
310.9323871944020560.1352256111958880.0676128055979438
320.9151267194452380.1697465611095240.084873280554762
330.9305057081062490.1389885837875030.0694942918937514
340.919946342343610.1601073153127790.0800536576563893
350.8893765425251030.2212469149497950.110623457474897
360.8875069055890050.2249861888219890.112493094410995
370.857603305953860.2847933880922790.142396694046139
380.8070901959884120.3858196080231750.192909804011588
390.8766647219763240.2466705560473530.123335278023676
400.8533170400835180.2933659198329640.146682959916482
410.8193020326734740.3613959346530520.180697967326526
420.7890992234912080.4218015530175850.210900776508792
430.7675222555269320.4649554889461370.232477744473068
440.6960758736568590.6078482526862830.303924126343141
450.6233998238630640.7532003522738720.376600176136936
460.6251679455737410.7496641088525170.374832054426259
470.5455474399740180.9089051200519630.454452560025982
480.4469671876118590.8939343752237170.553032812388141
490.3748003214427820.7496006428855650.625199678557218
500.2886838312120530.5773676624241050.711316168787947
510.8244417692515640.3511164614968730.175558230748436
520.7477341551598220.5045316896803560.252265844840178
530.6960667044039770.6078665911920450.303933295596023
540.6828187861675440.6343624276649110.317181213832456
550.6194677565866380.7610644868267250.380532243413363


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