Multiple Linear Regression - Estimated Regression Equation
position[t] = + 0.0694650219173059 + 0.219354580603808starters[t] + 0.18457144728292last[t] + 0.0146116079963446since[t] + 0.293778937426623number[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.06946502191730592.4432090.02840.9774460.488723
starters0.2193545806038080.2078181.05550.2969530.148476
last0.184571447282920.1277661.44460.1556530.077826
since0.01461160799634460.0069152.11290.0403180.020159
number0.2937789374266230.116622.51910.0154730.007737


Multiple Linear Regression - Regression Statistics
Multiple R0.498984694297235
R-squared0.248985725142906
Adjusted R-squared0.180711700155897
F-TEST (value)3.64685874591813
F-TEST (DF numerator)4
F-TEST (DF denominator)44
p-value0.011903648959678
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.16624934165024
Sum Squared Residuals441.105935314024


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
113.38855137568601-2.38855137568601
223.86994680172341-1.86994680172341
333.27934388554231-0.279343885542308
443.711553529105320.288446470894678
556.84923658463698-1.84923658463698
666.416239303232-0.416239303231995
774.859751979976622.14024802002338
885.253497773523362.74650222647664
916.3400904422024-5.3400904422024
1026.13323049579289-4.13323049579289
1136.54158789733597-3.54158789733597
1244.04755471781384-0.0475547178138388
1356.99995570007641-1.99995570007641
1465.75178191038820.248218089611801
1573.753775780387223.24622421961278
1684.882750788947183.11724921105282
1796.21321476994392.7867852300561
18107.522883083039142.47711691696086
19114.685873650825416.31412634917459
20126.453926732054715.54607326794529
2113.12262933741099-2.12262933741099
2224.53076319270442-2.53076319270442
2335.78124289955013-2.78124289955013
2446.40264430740786-2.40264430740786
2553.930908109709131.06909189029087
2663.833997827707472.16600217229253
2776.184229327120460.815770672879544
2883.950131552020464.04986844797954
2996.706414535819032.29358546418097
3014.59547136916516-3.59547136916516
3125.54524590441495-3.54524590441495
3235.9167031988351-2.9167031988351
3345.92824126731938-1.92824126731938
3457.58247502408998-2.58247502408998
3569.56891458742248-3.56891458742248
3677.09643078285658-0.0964307828565785
3784.192484941594833.80751505840517
3898.749089263943250.250910736056753
39109.092033968356860.90796603164314
40119.538027551099451.46197244890055
41126.945702868578145.05429713142186
42139.522785379066543.47721462093345
43147.96547038699446.0345296130056
4416.3302880945733-5.3302880945733
4524.29382659725284-2.29382659725284
4633.89776640385181-0.897766403851807
4747.17316953953369-3.17316953953369
4855.40818151511965-0.408181515119654
4964.259983064248361.74001693575164


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.08650524197547330.1730104839509470.913494758024527
90.03244194140507330.06488388281014660.967558058594927
100.03866909915055780.07733819830111570.961330900849442
110.01864622566569150.0372924513313830.981353774334308
120.1481942215707680.2963884431415370.851805778429232
130.0939196259138070.1878392518276140.906080374086193
140.08993113411780410.1798622682356080.910068865882196
150.1844367331427830.3688734662855660.815563266857217
160.209934437608680.4198688752173590.79006556239132
170.2151781980400740.4303563960801470.784821801959926
180.2666038246283540.5332076492567090.733396175371646
190.4897154144243240.9794308288486480.510284585575676
200.662163927399650.67567214520070.33783607260035
210.6121268704715030.7757462590569950.387873129528497
220.5781660050022610.8436679899954790.421833994997739
230.5743973166154620.8512053667690760.425602683384538
240.5526146902301540.8947706195396930.447385309769846
250.4666158461790580.9332316923581160.533384153820942
260.4024827897713620.8049655795427230.597517210228638
270.3368049560888850.6736099121777710.663195043911115
280.3445682516033320.6891365032066650.655431748396668
290.3301842219601140.6603684439202280.669815778039886
300.3761631258041090.7523262516082180.623836874195891
310.4552141500288370.9104283000576750.544785849971163
320.4959538894566430.9919077789132850.504046110543357
330.5768925441734420.8462149116531160.423107455826558
340.6197200325465540.7605599349068930.380279967453446
350.7361878591157810.5276242817684390.263812140884219
360.799109490044540.401781019910920.20089050995546
370.8416012651322480.3167974697355040.158398734867752
380.8763430356920810.2473139286158390.123656964307919
390.8582543959951780.2834912080096440.141745604004822
400.7696344422190250.460731115561950.230365557780975
410.6572970917418550.685405816516290.342702908258145


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0294117647058824OK
10% type I error level30.0882352941176471OK