Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 2.16415698290064 -1.27984653729293X[t] + 2.05394600247998Y1[t] -1.72849331883367Y2[t] + 0.670044338186338Y3[t] -0.0341379716604865Y4[t] + 0.00238579303693468t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2.164156982900640.9541322.26820.0276690.013835
X-1.279846537292930.360586-3.54930.0008510.000426
Y12.053946002479980.13613715.087400
Y2-1.728493318833670.302339-5.71711e-060
Y30.6700443381863380.2946462.27410.0272880.013644
Y4-0.03413797166048650.126848-0.26910.788940.39447
t0.002385793036934680.0120170.19850.8434350.421718


Multiple Linear Regression - Regression Statistics
Multiple R0.99880042950019
R-squared0.997602297969763
Adjusted R-squared0.997314573726135
F-TEST (value)3467.216684243
F-TEST (DF numerator)6
F-TEST (DF denominator)50
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.52899962131653
Sum Squared Residuals13.9920299676516


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
150.951.278336976999-0.378336976999010
250.650.42988551229530.170114487704693
352.151.56124793429020.538752065709812
453.354.0287106584488-0.728710658448789
553.953.76352672374420.136473276255827
654.353.93939603444640.360603965553641
754.254.479110485508-0.279110485507947
854.253.94576538768270.254234612317348
953.554.3685354648812-0.868535464881188
1051.452.8524994336993-1.45249943369931
1150.549.75495774187790.745042258122101
1250.351.0695970655031-0.76959706550312
1349.850.8336411149654-1.03364111496538
1450.749.62340240664841.07659759335162
1552.852.23530156819130.564698431808687
1655.354.66713540472480.632864595275185
1757.356.7946591246090.505340875391039
1857.557.9600725612186-0.460072561218556
1956.856.5196820220630.280317977937017
2056.455.99335069681860.406649303181353
2156.356.4498363363635-0.149836336363460
2256.456.4623662256233-0.0623662256233217
235756.59887479567940.401125204320569
2457.957.60742961316650.292570386833451
2558.958.49168904811990.408310951880054
2658.859.3909896624323-0.590989662432319
2756.556.7621981204661-0.262198120466067
2851.952.8526776033743-0.952677603374322
2947.447.28130401284170.118695987158349
3044.944.4543138806910.445686119308982
3143.944.0963679814415-0.196367981441466
3243.443.5078762168823-0.107876216882307
3342.942.69029235451930.209707645480736
3442.641.94525239669790.654747603302083
3542.241.8948168509750.305183149024988
3641.241.2762190554071-0.076219055407127
3740.239.73211185787190.467888142128111
3839.339.15126862348610.148731376513872
3938.538.37720718360260.122792816397411
4038.337.656173795080.643826204919994
4137.938.0616631099806-0.161663109980644
4237.637.08285786973770.517142130262305
4337.337.05375869925520.246241300744770
443636.6973185462558-0.697318546255817
4534.534.36076441892720.139235581072815
4633.533.33850061277020.161499387229848
4732.933.0188641334335-0.118864133433515
4832.932.55668849969530.343311500304746
4932.832.9773329033368-0.177332903336784
5031.932.4064354648744-0.506435464874398
5130.530.753601970559-0.253601970559012
5229.229.3691029132556-0.169102913255641
5328.728.52162344223410.178376557765923
5428.428.8367396495484-0.436739649548355
552828.2639238219406-0.263923821940568
5627.427.6726364037011-0.272636403701079
5726.926.9501076071578-0.0501076071578286


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.9015246988113630.1969506023772740.0984753011886369
110.8461125511544150.3077748976911710.153887448845586
120.9292025316308040.1415949367383920.0707974683691961
130.988808776928130.02238244614374100.0111912230718705
140.9855060834425670.02898783311486630.0144939165574331
150.9801191502035830.03976169959283380.0198808497964169
160.9979337218847260.004132556230547550.00206627811527377
170.9988074877612170.002385024477566270.00119251223878314
180.9993913872102640.001217225579472490.000608612789736243
190.9995992165583430.000801566883314780.00040078344165739
200.9997622525235540.0004754949528914210.000237747476445710
210.999889974880390.0002200502392223440.000110025119611172
220.9999254855173580.0001490289652829457.45144826414727e-05
230.9998842119159450.000231576168110340.00011578808405517
240.9997649348068810.000470130386237540.00023506519311877
250.9998313668259120.0003372663481762780.000168633174088139
260.9997158808515080.0005682382969841480.000284119148492074
270.999981067879763.78642404808122e-051.89321202404061e-05
280.999969802237436.03955251384981e-053.01977625692491e-05
290.9999319623097830.0001360753804336376.80376902168184e-05
300.9999613845640237.72308719550925e-053.86154359775462e-05
310.9999715291283225.69417433561704e-052.84708716780852e-05
320.999960354556227.92908875581408e-053.96454437790704e-05
330.999902225586330.0001955488273391569.77744136695782e-05
340.9997406953664810.000518609267037440.00025930463351872
350.9994072823373770.001185435325245250.000592717662622624
360.9994071941634580.001185611673083590.000592805836541794
370.9985958561406620.002808287718676690.00140414385933835
380.9978680952576540.004263809484691670.00213190474234584
390.9981017870638140.003796425872371550.00189821293618577
400.9954399258975250.009120148204950520.00456007410247526
410.9989284399913660.002143120017267080.00107156000863354
420.9968413202649630.00631735947007320.0031586797350366
430.9958462583800530.008307483239893340.00415374161994667
440.9909416469057870.01811670618842560.0090583530942128
450.9817327953889510.03653440922209740.0182672046110487
460.9487320007432580.1025359985134850.0512679992567423
470.8728588603822250.254282279235550.127141139617775


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level280.736842105263158NOK
5% type I error level330.868421052631579NOK
10% type I error level330.868421052631579NOK