Multiple Linear Regression - Estimated Regression Equation
intb[t] = + 0.210659035938168 -0.25603237044698X[t] + 1.39418813246313`Yt-1`[t] -0.279777174124115`Yt-2`[t] -0.344875777009029`Yt-3`[t] + 0.169566453810560`Yt-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)0.2106590359381680.0698033.01790.0039660.001983
X-0.256032370446980.080161-3.1940.0024070.001203
`Yt-1`1.394188132463130.1500289.292900
`Yt-2`-0.2797771741241150.244782-1.1430.258390.129195
`Yt-3`-0.3448757770090290.242766-1.42060.1615160.080758
`Yt-4`0.1695664538105600.1341841.26370.2120870.106044


Multiple Linear Regression - Regression Statistics
Multiple R0.995246444713004
R-squared0.990515485713875
Adjusted R-squared0.989585631372098
F-TEST (value)1065.23725406385
F-TEST (DF numerator)5
F-TEST (DF denominator)51
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.126170925631754
Sum Squared Residuals0.811874226213457


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12.0572.14431710788699-0.0873171078869878
22.0762.13453554089273-0.0585355408927277
32.072.17192712723827-0.101927127238274
42.0622.15536934528975-0.0933693452897483
52.0732.13917229705781-0.0661722970578056
62.0612.16203760119235-0.101037601192348
72.0942.14397140218063-0.049971402180634
82.0672.18818677146382-0.121186771463823
92.0862.14731478545725-0.0613147854572474
102.2762.167942645588370.108057354411627
112.3262.442429963403-0.116429963403002
122.3492.44785077292652-0.0988507729265203
132.522.403623606257650.116376393742348
142.6282.65056873927755-0.0225687392775473
152.5772.75384534062766-0.176845340627663
162.6982.597452081635740.100547918364263
172.8142.772166761228740.0418332387712635
182.9682.935941388164440.0320586118355568
193.0413.06781435020294-0.0268143502029370
203.2783.107016349835660.170983650164338
213.3283.383574042501-0.055574042500999
223.53.387913561021910.112086438978093
233.5633.544367853076390.0186321469236089
243.5693.60702349217487-0.0380234921748724
253.693.546922348044810.143077651955193
263.8193.721378705131950.0976212948680517
273.793.87598936807869-0.0859893680786856
283.9563.758754086480010.197245913519985
294.0633.974331420195410.0886685798045928
304.0474.10894200953918-0.0619420095391831
314.0293.994532035644490.0344679643555126
323.9413.96515940723872-0.0241594072387241
334.0223.871168463706080.150831536293924
343.8794.01221279448371-0.133212794483706
354.0223.817478812645630.204521187354371
364.0284.013999065614550.0140009343854544
374.0914.045408177380520.0455918226194789
383.9874.05799812767375-0.0709981276737537
394.013.917555348160620.092444651839375
404.0073.958008726087480.0489912739125212
414.1913.993941054084240.197058945915761
424.2994.225743947912320.0732560520876786
434.2734.32977192194817-0.0567719219481741
443.824.19934125336763-0.379341253367634
453.153.31296950902625-0.162969509026250
462.4862.53288246736795-0.0468824673679502
471.8121.94641225326160-0.134412253261603
481.2571.34675466261973-0.0897546626197302
491.0620.8769380563432650.185061943656735
500.8420.880201850525712-0.0382018505257123
510.7820.705155276709720.0768447232902804
520.6980.6561963617211370.041803638278863
530.3580.598678401490608-0.240678401490608
540.3470.1315436458617870.215456354138213
550.3630.2301273936470170.132872606352983
560.3590.3585261347447750.000473865255225039
570.3550.2946139866804450.0603860133195546


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.003660166748679970.007320333497359930.99633983325132
100.05109231409252980.1021846281850600.94890768590747
110.01984628238842110.03969256477684210.980153717611579
120.01756756027880590.03513512055761180.982432439721194
130.02799699101713150.05599398203426310.972003008982868
140.01290683122298320.02581366244596640.987093168777017
150.01261252150014690.02522504300029390.987387478499853
160.006509873754254390.01301974750850880.993490126245746
170.002918468391163630.005836936782327260.997081531608836
180.01656228735975780.03312457471951560.983437712640242
190.01449262981447390.02898525962894780.985507370185526
200.01368850944681150.02737701889362300.986311490553188
210.02384079112625780.04768158225251560.976159208873742
220.01326655915405140.02653311830810280.986733440845949
230.01804115569311740.03608231138623480.981958844306883
240.02057016011312590.04114032022625190.979429839886874
250.01176677182742740.02353354365485480.988233228172573
260.007415777820126230.01483155564025250.992584222179874
270.007097294087645040.01419458817529010.992902705912355
280.00542736771645350.0108547354329070.994572632283546
290.003394844254474250.00678968850894850.996605155745526
300.002106127929077170.004212255858154330.997893872070923
310.002692639849238670.005385279698477330.997307360150761
320.002975262665677140.005950525331354290.997024737334323
330.002917429850498570.005834859700997140.997082570149501
340.003572787213553580.007145574427107170.996427212786446
350.00648272577942750.0129654515588550.993517274220572
360.003457216384705010.006914432769410030.996542783615295
370.002138265780850270.004276531561700540.99786173421915
380.002602150461071670.005204300922143340.997397849538928
390.001455755071673000.002911510143346000.998544244928327
400.0006933645674996670.001386729134999330.9993066354325
410.004548645560769250.00909729112153850.99545135443923
420.01238714978351200.02477429956702400.987612850216488
430.08434166466193570.1686833293238710.915658335338064
440.3073556139540840.6147112279081680.692644386045916
450.294641303992770.589282607985540.70535869600723
460.3915469894688560.7830939789377120.608453010531144
470.3840121231636790.7680242463273580.615987876836321
480.2551337984317940.5102675968635870.744866201568206


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level140.35NOK
5% type I error level320.8NOK
10% type I error level330.825NOK