Multiple Linear Regression - Estimated Regression Equation
IPCN[t] = + 3.05577629606795 + 1.17944461455352TIP[t] -2.12462514013892M1[t] + 0.608831066388448M2[t] + 5.9761607661264M3[t] + 2.56150132861621M4[t] -6.82861542337741M5[t] -12.0520433749389M6[t] -13.3159361355758M7[t] + 8.51911770861693M8[t] + 19.8702928802582M9[t] -8.10532647440436M10[t] + 0.441248635997603M11[t] -0.28951804087561t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3.0557762960679515.0705680.20280.8401940.420097
TIP1.179444614553520.1511327.804100
M1-2.124625140138924.307528-0.49320.6241430.312072
M20.6088310663884484.2145670.14450.8857560.442878
M35.97616076612644.2465721.40730.165920.08296
M42.561501328616214.2906810.5970.5533780.276689
M5-6.828615423377414.219926-1.61820.1123150.056158
M6-12.05204337493894.55013-2.64870.0109670.005484
M7-13.31593613557584.439011-2.99980.0043120.002156
M88.519117708616934.25956920.0512980.025649
M919.87029288025824.726964.20360.0001175.8e-05
M10-8.105326474404364.411878-1.83720.0725130.036257
M110.4412486359976034.1861860.10540.9165020.458251
t-0.289518040875610.055948-5.17485e-062e-06


Multiple Linear Regression - Regression Statistics
Multiple R0.796926733449986
R-squared0.635092218487265
Adjusted R-squared0.534160278919912
F-TEST (value)6.29228191997108
F-TEST (DF numerator)13
F-TEST (DF denominator)47
p-value1.18025310580361e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.61842757381282
Sum Squared Residuals2058.76842684088


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1143.7141.3493756312892.35062436871112
2124.1125.865755655727-1.76575565572701
3129.2122.6874550127156.5125449872853
4121.9119.219166457242.68083354276041
5124.8118.0315328891566.76846711084427
6129.6120.1849768913179.41502310868342
7125.2120.9904553189114.20954468108896
8124.8121.7777659060863.02223409391382
9128.3121.9885325829596.31146741704061
10129.4123.7992328585365.6007671414639
11127.6115.30817640140212.2918235985976
12123.7117.1721878765476.52781212345303
13129128.6754911472640.324508852735983
14118.4107.88437040621110.5156295937887
15104.9106.475236685029-1.57523668502931
16101105.601726281572-4.60172628157198
1799.5103.470537021845-3.97053702184528
18106.7109.752037174943-3.05203717494345
19101.6107.490959604699-5.89095960469877
20103.2110.873048343892-7.67304834389165
21104.6114.268315480059-9.66831548005939
22105.7109.710014837047-4.01001483704707
23101.1105.11112560794-4.01112560794002
2498.8107.09308154454-8.29308154453991
25107.6115.293939894507-7.69393989450709
2696.9106.061376376079-9.16137637607897
27106.4108.544409882924-2.14440988292355
28102108.732399632564-6.73239963256439
29105.7105.0679323739180.632067626081871
30117118.779933598704-1.7799335987035
31116118.5239118732-2.52391187319978
32125.5120.0188892291075.48111077089296
33120.2126.598656824569-6.39865682456929
34124.1121.8044672586462.29553274135372
35111.4122.041300949209-10.6413009492086
36120.8130.981980111674-10.1819801116743
37120.2119.7220023215080.477997678491618
38124.6125.704274330821-1.10427433082072
39125.4128.305252299121-2.90525229912066
40114.2111.9810174450122.21898255498785
41113.6117.987996025705-4.38799602570479
42110.5123.207996025705-12.7079960257048
43106.4109.978083540112-3.57808354011231
44117121.734229042635-4.73422904263523
45121.9118.9963841831252.90361581687537
46114.9119.863528767059-4.96352876705852
47117.6118.802973381612-1.20297338161205
48117.6114.2979839381683.30201606183244
49125.8126.862787361983-1.06278736198278
50114.9113.3842232311621.51577676883804
51119.4119.2876461202120.112353879788226
52117.3110.8656901836126.43430981638811
53115114.0420016893760.957998310623937
54120.9112.7750563093328.12494369066833
55117109.2165896630787.7834103369219
56117.8113.896067478283.90393252172012
57114107.1481109292876.85188907071269
58114.4113.3227562787121.07724372128797
59119.6116.0364236598373.56357634016315
60113.1104.4547665290718.64523347092878
61125.1119.4964036434495.60359635655116


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.8587520757764840.2824958484470320.141247924223516
180.7662111691854370.4675776616291260.233788830814563
190.6661133739333280.6677732521333450.333886626066672
200.5551965431095130.8896069137809750.444803456890487
210.4583389447806740.9166778895613480.541661055219326
220.3820901144233040.7641802288466090.617909885576696
230.2972552620063920.5945105240127840.702744737993608
240.2177040445251630.4354080890503260.782295955474837
250.1682707425245720.3365414850491450.831729257475428
260.4417660499793990.8835320999587990.558233950020601
270.7380229121779270.5239541756441450.261977087822073
280.8150748734345920.3698502531308170.184925126565408
290.820328384392880.3593432312142390.17967161560712
300.7573574858638070.4852850282723860.242642514136193
310.6956146008098250.6087707983803510.304385399190175
320.8518414037445020.2963171925109950.148158596255498
330.7956950673835090.4086098652329810.204304932616491
340.9224635051964570.1550729896070870.0775364948035434
350.9451968201376020.1096063597247970.0548031798623984
360.9233367367247040.1533265265505920.0766632632752961
370.9375105166917940.1249789666164120.0624894833082061
380.9192068263267890.1615863473464230.0807931736732114
390.8934514026238570.2130971947522850.106548597376142
400.8649888099512180.2700223800975640.135011190048782
410.7866703067519020.4266593864961970.213329693248098
420.9963160121995760.007367975600848260.00368398780042413
430.9954617760675510.009076447864897530.00453822393244877
440.9958779373852850.008244125229429250.00412206261471463


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level30.107142857142857NOK
5% type I error level30.107142857142857NOK
10% type I error level30.107142857142857NOK