Multiple Linear Regression - Estimated Regression Equation
T20[t] = + 0.249623513122226 + 0.425719677107067Used[t] -0.163319144266082Useful[t] -0.00230823649454588t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.2496235131222260.1001242.49320.0152580.007629
Used0.4257196771070670.1188013.58350.0006550.000327
Useful-0.1633191442660820.13807-1.18290.2412350.120618
t-0.002308236494545880.002605-0.88590.3789770.189489


Multiple Linear Regression - Regression Statistics
Multiple R0.413976599046199
R-squared0.171376624557857
Adjusted R-squared0.132534903834007
F-TEST (value)4.41217900144741
F-TEST (DF numerator)3
F-TEST (DF denominator)64
p-value0.0069726767115954
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.406297074905006
Sum Squared Residuals10.5649480368873


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
100.247315276627681-0.247315276627681
210.6707267172402020.329273282759798
300.242698803638589-0.242698803638589
400.240390567144043-0.240390567144043
500.0747631863834151-0.0747631863834151
610.2357740941549510.764225905845049
700.0701467133943234-0.0701467133943234
800.231157621165859-0.231157621165859
910.2288493846713130.771150615328687
1000.226541148176768-0.226541148176768
1110.2242329116822220.775767088317778
1200.221924675187676-0.221924675187676
1300.21961643869313-0.21961643869313
1400.217308202198584-0.217308202198584
1500.214999965704038-0.214999965704038
1600.212691729209492-0.212691729209492
1700.210383492714946-0.210383492714946
1800.208075256220401-0.208075256220401
1910.6314866968329220.368513303167078
2000.203458783231309-0.203458783231309
2100.201150546736763-0.201150546736763
2210.6245619873492840.375438012650716
2300.196534073747671-0.196534073747671
2400.194225837253125-0.194225837253125
2510.4543181335995650.545681866400435
2610.1896093642640330.810390635735967
2700.613020804876555-0.613020804876555
2810.6107125683820090.389287431617991
2900.182684654780396-0.182684654780396
3000.18037641828585-0.18037641828585
3100.178068181791304-0.178068181791304
3200.175759945296758-0.175759945296758
3300.173451708802212-0.173451708802212
3400.171143472307666-0.171143472307666
3500.168835235813121-0.168835235813121
3600.166526999318575-0.166526999318575
3710.5899384399310960.410061560068904
3800.424311059170468-0.424311059170468
3900.159602289834937-0.159602289834937
4010.1572940533403910.842705946659609
410-0.008333327420236470.00833332742023647
4200.152677580351299-0.152677580351299
4300.150369343856754-0.150369343856754
4400.148061107362208-0.148061107362208
4500.145752870867662-0.145752870867662
4600.143444634373116-0.143444634373116
4700.566856074985637-0.566856074985637
4800.138828161384024-0.138828161384024
4900.136519924889478-0.136519924889478
5000.134211688394932-0.134211688394932
5100.394303984741372-0.394303984741372
5210.3919957482468260.608004251753174
5310.1272869789112950.872713021088705
5400.124978742416749-0.124978742416749
5500.54839018302927-0.54839018302927
5610.5460819465347240.453918053465276
5700.118054032933111-0.118054032933111
580-0.04757334782751640.0475733478275164
590-0.04988158432206230.0498815843220623
6010.1111293234494740.888870676550526
6110.5345407640619950.465459235938005
6210.1065128504603820.893487149539618
6300.104204613965836-0.104204613965836
640-0.06142276679479170.0614227667947917
6500.0995881409767443-0.0995881409767443
6600.522999581589265-0.522999581589265
6700.357372200828638-0.357372200828638
6800.518383108600174-0.518383108600174


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.4169495569289410.8338991138578830.583050443071059
80.6078691952603280.7842616094793430.392130804739672
90.6215778551399950.756844289720010.378422144860005
100.717252274402550.5654954511949010.28274772559745
110.7310001057880690.5379997884238630.268999894211931
120.7953676386154920.4092647227690170.204632361384509
130.7915545131888780.4168909736222440.208445486811122
140.758126225937660.4837475481246790.24187377406234
150.7055361187022550.588927762595490.294463881297745
160.6391441152759030.7217117694481940.360855884724097
170.5637647888804710.8724704222390580.436235211119529
180.4843794982255460.9687589964510910.515620501774454
190.42598095363260.8519619072651990.5740190463674
200.3513727203590710.7027454407181420.648627279640929
210.2825143085390820.5650286170781640.717485691460918
220.240670728891460.4813414577829190.75932927110854
230.1852595065684130.3705190131368250.814740493431587
240.139354538339860.2787090766797210.86064546166014
250.1430861555393710.2861723110787420.856913844460629
260.3922997942272440.7845995884544890.607700205772756
270.5724756904363750.8550486191272490.427524309563625
280.578363472187990.843273055624020.42163652781201
290.5081458188125680.9837083623748640.491854181187432
300.4372829148093360.8745658296186730.562717085190664
310.3684952654884390.7369905309768790.631504734511561
320.3041439055906830.6082878111813670.695856094409317
330.2460446240410880.4920892480821750.753955375958912
340.195362324275210.3907246485504190.80463767572479
350.1526010592556860.3052021185113720.847398940744314
360.1176808439909620.2353616879819240.882319156009038
370.128600019463720.2572000389274410.87139998053628
380.1312530608573990.2625061217147980.868746939142601
390.09945481291599040.1989096258319810.90054518708401
400.2973466198838720.5946932397677440.702653380116128
410.2397021605294620.4794043210589250.760297839470538
420.1877451287370130.3754902574740250.812254871262987
430.1438372155454950.287674431090990.856162784454505
440.1081612559911570.2163225119823140.891838744008843
450.08033485316696060.1606697063339210.919665146833039
460.05959879641572620.1191975928314520.940401203584274
470.0758935258293090.1517870516586180.924106474170691
480.06221605855322510.124432117106450.937783941446775
490.05621762586027850.1124352517205570.943782374139722
500.06215910212599010.124318204251980.93784089787401
510.0716298661406150.143259732281230.928370133859385
520.09663454704506170.1932690940901230.903365452954938
530.1622955621430530.3245911242861060.837704437856947
540.1628795129849340.3257590259698680.837120487015066
550.3132427811091930.6264855622183850.686757218890807
560.2461810424447260.4923620848894520.753818957555274
570.4421754295787990.8843508591575980.557824570421201
580.4465934309586140.8931868619172280.553406569041386
590.6954370483706820.6091259032586360.304562951629318
600.6093119042289290.7813761915421430.390688095771071
610.4554038321358840.9108076642717680.544596167864116


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