Multiple Linear Regression - Estimated Regression Equation
x1[t] = + 12.2662551669423 + 0.00739161503025132x2[t] + 0.0005837156555437x3[t] -0.330230236582663x4[t] -0.00946288487507264x5[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)12.26625516694232.0201476.07200
x20.007391615030251320.0069341.06610.2917340.145867
x30.00058371565554370.0007220.80860.4227530.211377
x4-0.3302302365826630.234552-1.40790.1655980.082799
x5-0.009462884875072640.004887-1.93640.0587170.029358


Multiple Linear Regression - Regression Statistics
Multiple R0.379083047311434
R-squared0.143703956758923
Adjusted R-squared0.0723459531555002
F-TEST (value)2.01384497186283
F-TEST (DF numerator)4
F-TEST (DF denominator)48
p-value0.107455004361819
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.60126238508799
Sum Squared Residuals123.073978843088


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
188.97202665537339-0.97202665537339
29.3000001918.785975450644120.51402474035588
37.59.76807045730224-2.26807045730224
48.89999961910.1649198519307-1.26492023293067
510.199999818.401401735900161.79859807409984
68.3000001918.52512232483443-0.225122133834433
78.8000001918.486421862303760.313578328696236
88.8000001919.34120702046856-0.541206829468555
910.699999818.771974323640661.92802548635934
1011.699999819.516408290333232.18359151966676
118.57.406281383740071.09371861625993
128.3000001918.70058817818893-0.400587987188927
138.1999998099.18521908988633-0.985219280886326
147.9000000958.37230745994745-0.472307364947453
1510.300000199.533878916498350.766121273501653
167.4000000958.34570685024772-0.945706755247721
179.6000003818.922888376361840.677112004638156
189.3000001918.706957032621820.593043158378185
1910.600000388.770364420894651.82963595910535
209.6999998099.233007203357640.466992605642356
2111.6000003810.20473582547561.39526455452438
228.1000003819.8625882200543-1.7625878390543
239.80000019110.0311742199176-0.231174028917586
247.4000000958.82078611594752-1.42078602094752
259.3999996199.094703944114740.305295674885261
2611.199999819.768035774756721.43196403524328
279.1000003819.33399006963647-0.233989688636476
2810.58.998102716193161.50189728380684
2911.8999996210.26802628826241.63197333173758
308.3999996198.98121238985572-0.581212770855718
3158.96948730635205-3.96948730635205
329.8000001919.507751905655690.292248285344308
339.8000001919.545354841700440.254645349299557
3410.800000199.634755267181021.16524492281898
3510.100000389.361533938300830.738466441699168
3610.8999996210.29009421419760.609905405802424
379.1999998098.540195351782660.659804457217337
388.30000019110.0478169924589-1.74781680145892
397.3000001918.75542268206579-1.45542249106579
409.3999996199.72189488979475-0.321895270794744
419.3999996199.50067315307057-0.10067353407057
429.8000001919.664475902397190.135524288602814
433.5999999059.24040974054532-5.64040983554532
448.3999996199.95069516680641-1.55069554780641
4510.800000199.88356125817010.916438931829899
4610.100000388.690609057958371.40939132204163
4799.79037539189222-0.790375391892218
48109.481179378012530.518820621987475
4911.3000001910.50172920998240.79827098001764
5011.3000001910.06388960667841.23611058332162
5112.8000001910.00935986510992.79064032489013
52109.304791424630870.695208575369128
536.6999998099.4698627215658-2.7698629125658


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.0473553825929690.09471076518593790.952644617407031
90.1843188607871970.3686377215743950.815681139212803
100.4565423210595150.913084642119030.543457678940485
110.4468006527855770.8936013055711530.553199347214423
120.3320828837338730.6641657674677450.667917116266127
130.2480006813609640.4960013627219290.751999318639036
140.2067254261810440.4134508523620870.793274573818956
150.1787992297512280.3575984595024560.821200770248772
160.1231539595203480.2463079190406960.876846040479652
170.08844398605025950.1768879721005190.91155601394974
180.07078760711941080.1415752142388220.929212392880589
190.139207689781130.2784153795622590.86079231021887
200.1379167099626150.275833419925230.862083290037385
210.1816577204684940.3633154409369880.818342279531506
220.1959261371127990.3918522742255990.804073862887201
230.1823450432198560.3646900864397110.817654956780144
240.1532096058060070.3064192116120140.846790394193993
250.1346999575841580.2693999151683160.865300042415842
260.1656925845349050.331385169069810.834307415465095
270.1439309533882270.2878619067764530.856069046611774
280.1686717950720830.3373435901441650.831328204927917
290.2204695707338620.4409391414677240.779530429266138
300.165356686343190.330713372686380.83464331365681
310.3913148536245480.7826297072490950.608685146375452
320.3170615747521580.6341231495043160.682938425247842
330.2508797861470440.5017595722940870.749120213852956
340.2114003696876950.422800739375390.788599630312305
350.1651846598740560.3303693197481120.834815340125944
360.1590967008547520.3181934017095040.840903299145248
370.1588643971845530.3177287943691070.841135602815447
380.1312961789373040.2625923578746090.868703821062696
390.09541634905518750.1908326981103750.904583650944813
400.07491764678453920.1498352935690780.925082353215461
410.1249321199989850.2498642399979710.875067880001015
420.09577037637487890.1915407527497580.904229623625121
430.3126827732759410.6253655465518830.687317226724059
440.3332874182818790.6665748365637580.666712581718121
450.2117619495536250.423523899107250.788238050446375


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 level10.0263157894736842OK