Multiple Linear Regression - Estimated Regression Equation
y(t)[t] = -36.5108269184238 + 0.472806269550534`x(t)`[t] + 0.878494577498195`y(t-1)`[t] + 0.267957282415803`y(t-2)`[t] + 0.164874664652139`y(t-3)`[t] -0.413165669629023`y(t-4)`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-36.510826918423851.098031-0.71450.4796410.239821
`x(t)`0.4728062695505340.5899680.80140.4283020.214151
`y(t-1)`0.8784945774981950.1613265.44554e-062e-06
`y(t-2)`0.2679572824158030.2115021.26690.2135470.106773
`y(t-3)`0.1648746646521390.210220.78430.4381430.219072
`y(t-4)`-0.4131656696290230.188817-2.18820.0354210.017711


Multiple Linear Regression - Regression Statistics
Multiple R0.988327860167978
R-squared0.976791959184214
Adjusted R-squared0.97347652478196
F-TEST (value)294.619600532529
F-TEST (DF numerator)5
F-TEST (DF denominator)35
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.772889638581292
Sum Squared Residuals20.9075437699212


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1105.02104.4285103451640.591489654835985
2104.43105.467484536611-1.03748453661099
3104.63105.367861407690-0.737861407689779
4104.93105.330235750004-0.400235750003897
5105.87105.0360280645520.833971935447653
6105.66106.313504084047-0.653504084047054
7106.76106.3855538352770.374446164722843
8106107.340843513189-1.34084351318868
9107.22106.5496692986150.67033070138529
10107.33107.629175317920-0.299175317919881
11107.11107.458746436178-0.348746436177889
12108.86107.8101059299881.04989407001231
13107.72108.859331686988-1.13933168698845
14107.88108.259236651072-0.379236651072023
15108.38108.473751591977-0.0937515919773426
16107.72108.096883696009-0.376883696009296
17108.41108.1862692273540.223730772646137
18109.9108.6933743196601.20662568033983
19111.45109.9049180903831.54508190961698
20112.18112.0712061476520.108793852348092
21113.34113.0931479779530.246852022046739
22113.46113.881556508741-0.421556508741203
23114.06113.8581350887380.201864911262031
24115.54114.3164865066851.22351349331492
25116.39115.3888665742531.00113342574692
26115.94116.628789288493-0.68878928849279
27116.97116.4620735832750.507926416724715
28115.94116.775000494915-0.835000494914678
29115.91115.8389642300890.0710357699106803
30116.43116.0767532929260.35324670707444
31116.26116.0199834016570.240016598342837
32116.35116.473144074377-0.123144074376571
33117.9116.6047856440491.29521435595131
34117.7117.5443868574840.155613142516366
35117.53117.977844055381-0.447844055380741
36117.86118.026375779536-0.166375779535631
37117.65117.6493532208940.000646779105519066
38116.51117.636268079925-1.12626807992506
39115.93116.712616160833-0.782616160832944
40115.31115.792842531113-0.482842531112532
41115115.019936718354-0.0199367183541721


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.04513563856408130.09027127712816260.954864361435919
100.4696588005960470.9393176011920950.530341199403953
110.3224643646946230.6449287293892460.677535635305377
120.5863540813048610.8272918373902780.413645918695139
130.6173672534076760.7652654931846480.382632746592324
140.5490244185889710.9019511628220580.450975581411029
150.4915860150428080.9831720300856150.508413984957192
160.527269909143290.945460181713420.47273009085671
170.4543722534134060.9087445068268110.545627746586594
180.5305644606714350.938871078657130.469435539328565
190.7747693233781530.4504613532436940.225230676621847
200.7147515627522360.5704968744955290.285248437247764
210.6360526778013930.7278946443972140.363947322198607
220.7445643104493590.5108713791012830.255435689550641
230.7418568860824020.5162862278351960.258143113917598
240.7126308558836810.5747382882326380.287369144116319
250.6524471535983670.6951056928032660.347552846401633
260.8355292276571140.3289415446857730.164470772342886
270.7522595792207070.4954808415585850.247740420779293
280.8981934629866680.2036130740266640.101806537013332
290.922614734841010.1547705303179780.077385265158989
300.8623402620458680.2753194759082630.137659737954132
310.7619408997383160.4761182005233670.238059100261684
320.7572089819216630.4855820361566730.242791018078337


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 level10.0416666666666667OK