Multiple Linear Regression - Estimated Regression Equation
tot.ind.prod.index[t] = + 136.369545246487 + 0.0530843258192137prijsindex.grondst.incl.energie[t] -0.0119367169882655`y(t-1)`[t] -0.301068823246038`y(t-2)`[t] -0.0891857427440547`y(t-3)`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)136.36954524648727.0467435.0426e-063e-06
prijsindex.grondst.incl.energie0.05308432581921370.0192452.75830.0079560.003978
`y(t-1)`-0.01193671698826550.141427-0.08440.9330550.466527
`y(t-2)`-0.3010688232460380.134349-2.24090.0292430.014622
`y(t-3)`-0.08918574274405470.142868-0.62430.535140.26757


Multiple Linear Regression - Regression Statistics
Multiple R0.411787166404869
R-squared0.169568670415751
Adjusted R-squared0.106894607805619
F-TEST (value)2.70556372690508
F-TEST (DF numerator)4
F-TEST (DF denominator)53
p-value0.039939568367107
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation8.63250883290268
Sum Squared Residuals3949.57106375757


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1102.9104.107288794034-1.20728879403354
297.499.7049338976584-2.30493389765837
3111.4101.17220803553010.2277919644704
487.4103.752638540298-16.3526385402976
596.8100.675651223234-3.87565122323435
6114.1106.4874131172147.6125868827864
7110.3106.2124054127464.08759458725404
8103.999.76501997646944.13498002353061
9101.699.05504756557682.54495243442316
1094.6101.910942159536-7.31094215953557
1195.9103.464775096176-7.56477509617619
12104.7106.674916739216-1.97491673921552
13102.8106.760316898052-3.96031689805194
1498.1103.619517106553-5.51951710655314
15113.9104.1529121400689.74708785993245
1680.9105.808901588637-24.9089015886372
1795.7102.480877012362-6.78087701236248
18113.2110.7984994372082.40150056279218
19105.9108.631009479544-2.73100947954421
20108.8101.7685206985707.03147930142977
21102.3102.673536788149-0.3735367881489
2299103.394356294044-4.3943562940439
23100.7104.972803179789-4.27280317978902
24115.5106.6956150480798.80438495192126
25100.7107.325975076500-6.62597507650034
26109.9103.1659342028986.7340657971016
27114.6106.0061908576688.59380914233152
2885.4105.126599151239-19.7265991512388
29100.5103.117525035410-2.61752503541028
30114.8110.0777608977694.72223910223102
31116.5107.5617094257228.93829057427803
32112.9102.00621363579110.8937863642094
33102100.7238463308171.27615366918271
34106100.8943718732475.10562812675257
35105.3105.0279630039840.272036996015781
36118.8105.27661850859313.5233814914069
37106.1105.6595742701970.440425729802744
38109.3101.8250967797937.47490322020669
39117.2104.79928982467312.400710175327
4092.5105.553707829414-13.0537078294138
41104.2102.6910224284811.50897757151942
42112.5110.1060024564152.39399754358519
43122.4109.51011736941012.8898826305905
44113.3107.0121461836196.28785381638108
45100103.171684692278-3.17168469227807
46110.7105.8295508090074.8704491909927
47112.8111.4147586517211.38524134827921
48109.8110.495738520922-0.695738520921836
49117.3109.6828888245967.61711117540436
50109.1112.193773423741-3.09377342374134
51115.9111.5699109440114.33008905598881
5296113.633660666353-17.633660666353
5399.8109.853264242650-10.0532642426497
54116.8113.0268707566073.77312924339306
55115.7109.0752244399936.62477556000697
5699.4101.061997641420-1.66199764142012
5794.398.4100448091092-4.11004480910918
5891103.672860207209-12.6728602072093


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.8265918838883390.3468162322233230.173408116111661
90.7095684965599290.5808630068801410.290431503440071
100.7234941370881910.5530117258236180.276505862911809
110.6821941296399520.6356117407200950.317805870360048
120.5673191976786590.8653616046426820.432680802321341
130.4562084204818850.912416840963770.543791579518115
140.3626370298480000.7252740596959990.637362970152
150.4020057619664120.8040115239328230.597994238033588
160.7991737234081670.4016525531836650.200826276591833
170.7544867790922450.4910264418155090.245513220907755
180.703260033258950.5934799334821010.296739966741050
190.6754123648698840.6491752702602320.324587635130116
200.7200736025585770.5598527948828470.279926397441423
210.6531093260118310.6937813479763380.346890673988169
220.5872972706831410.8254054586337190.412702729316860
230.5239628332430080.9520743335139840.476037166756992
240.5424395214774520.9151209570450970.457560478522548
250.5112166883572020.9775666232855950.488783311642798
260.4856243881352350.9712487762704710.514375611864765
270.4770395354532080.9540790709064160.522960464546792
280.8089950862111750.3820098275776490.191004913788825
290.7599924801039820.4800150397920360.240007519896018
300.7011726006298470.5976547987403050.298827399370153
310.7083909365558660.5832181268882680.291609063444134
320.731342396707590.537315206584820.26865760329241
330.6606599868584240.6786800262831520.339340013141576
340.6087644597979760.7824710804040470.391235540202024
350.5252385250863530.9495229498272930.474761474913647
360.575776814813260.848446370373480.42422318518674
370.4902509962561430.9805019925122870.509749003743857
380.4522385972372220.9044771944744440.547761402762778
390.5905679132507760.818864173498450.409432086749225
400.7221570368657140.5556859262685710.277842963134286
410.6472567371111280.7054865257777440.352743262888872
420.5657883471137080.8684233057725830.434211652886292
430.5591098701100450.8817802597799110.440890129889956
440.4853248771318560.9706497542637110.514675122868144
450.3887975578894890.7775951157789780.611202442110511
460.4410137208566880.8820274417133770.558986279143312
470.3453262418482140.6906524836964290.654673758151786
480.2522776638992360.5045553277984710.747722336100764
490.2803584155800200.5607168311600410.71964158441998
500.1762376414911020.3524752829822040.823762358508898


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