Multiple Linear Regression - Estimated Regression Equation
PS[t] = -224.797977596438 -0.000235682027927057Wbo[t] + 0.000199220263264062Wbr[t] + 0.178340090407748Lifeyears[t] -0.167908843596768Gestation[t] -44.4794213593373Predation[t] -121.269232984052Sleep_exposure[t] + 177.683241346138overall_danger[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-224.797977596438116.527909-1.92910.0589760.029488
Wbo-0.0002356820279270570.00016-1.46970.1474590.07373
Wbr0.0001992202632640620.0001611.23630.2217020.110851
Lifeyears0.1783400904077480.2113160.8440.402420.20121
Gestation-0.1679088435967680.189422-0.88640.3793180.189659
Predation-44.479421359337396.446191-0.46120.6465190.323259
Sleep_exposure-121.26923298405260.885986-1.99170.0514670.025733
overall_danger177.683241346138123.2773851.44130.1552660.077633


Multiple Linear Regression - Regression Statistics
Multiple R0.398342798198946
R-squared0.158676984876966
Adjusted R-squared0.049616594027684
F-TEST (value)1.45494604999401
F-TEST (DF numerator)7
F-TEST (DF denominator)54
p-value0.203183241774995
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation388.676692498816
Sum Squared Residuals8157756.84975824


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1-999-963.23202924879-35.7679707512100
2248.373780065298-46.3737800652980
3-999-212.373641893069-786.626358106931
4-999-337.907959056934-661.092040943066
51.8-29.590346702145631.3903467021456
60.7-169.194447130584169.894447130584
73.9-215.351684056437219.251684056437
81-362.768490487736363.768490487736
93.6-335.39507014552338.99507014552
101.4-167.201678841046168.601678841046
111.5-237.821551274737239.321551274737
120.7-232.279196546538232.979196546538
132.7-89.602387164339392.3023871643393
14-999-179.900983996716-819.099016003284
152.1-219.052325068562221.152325068562
160-192.439786193443192.439786193443
174.1-206.213848568526210.313848568526
181.2-218.227073702398219.427073702398
191.3-157.174082802964158.474082802964
206.1-41.878155558898747.9781555588987
210.3-216.501071243837216.801071243837
220.5-170.017384243957170.517384243957
233.4-125.930815129763129.330815129763
24-999-579.878105474899-419.121894525101
251.5-455.428041183054456.928041183054
26-999-205.308044890215-793.691955109785
273.4-37.714122896630741.1141228966307
280.8-109.481632499302110.281632499302
290.8-205.639833984489206.439833984489
30-999-217.950078388480-781.04992161152
31-999-253.576025809866-745.423974190134
321.417.8530858334797-16.4530858334797
332-216.978623155496218.978623155496
341.98.49741898383276-6.59741898383276
352.4-439.944195541685442.344195541685
362.8-130.877885504545133.677885504545
371.36.44532254895981-5.14532254895981
3824.38429732343694-2.38429732343694
395.6-257.611589413061263.211589413061
403.1-275.005970851481278.105970851481
411-196.098685614024197.098685614024
421.8-219.208159656376221.008159656376
430.9-181.448153174561182.348153174561
441.8-78.306293656764480.1062936567644
451.9-200.945266132527202.845266132527
460.9-165.298734991178166.198734991178
47-999-202.264971714751-796.735028285249
482.651.2348145985303-48.6348145985303
492.4-210.804329694488213.204329694488
501.2-310.505434968675311.705434968675
510.9-235.009680290732235.909680290732
520.5-101.099262642958101.599262642958
53-999-171.211322206906-827.788677793094
540.6-165.129282636393165.729282636393
55-999-211.615381914769-787.384618085231
562.244.4253392257145-42.2253392257145
572.3-88.413810245198390.7138102451983
580.523.2790765209106-22.7790765209106
592.6-252.223823400562254.823823400562
600.6-76.203824014625776.8038240146257
616.6-259.206443563173265.806443563173
62-999-303.452115931356-695.547884068644


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.8018889225083320.3962221549833360.198111077491668
120.6731377871182090.6537244257635830.326862212881791
130.5748077345604110.8503845308791780.425192265439589
140.8843178644518180.2313642710963650.115682135548182
150.8329978628752020.3340042742495970.167002137124798
160.7611813401942120.4776373196115760.238818659805788
170.6845035957832130.6309928084335750.315496404216787
180.6142081352520410.7715837294959190.385791864747959
190.6267172519140110.7465654961719790.373282748085989
200.5536500450984320.8926999098031360.446349954901568
210.474088661498450.94817732299690.52591133850155
220.3899110263830280.7798220527660570.610088973616971
230.3411265825479750.682253165095950.658873417452025
240.3674924633369190.7349849266738370.632507536663081
250.4068899520801440.8137799041602880.593110047919856
260.6417248463841160.7165503072317670.358275153615884
270.5681090762072820.8637818475854350.431890923792718
280.4857654082433620.9715308164867240.514234591756638
290.405070373131950.81014074626390.59492962686805
300.6395570764905970.7208858470188070.360442923509403
310.796505983425290.4069880331494190.203494016574709
320.7357575950515370.5284848098969270.264242404948463
330.6835949470975370.6328101058049250.316405052902463
340.6068872548128480.7862254903743040.393112745187152
350.6256905509245230.7486188981509540.374309449075477
360.5725972515023550.854805496995290.427402748497645
370.4868673444629060.9737346889258110.513132655537094
380.4015923412789070.8031846825578150.598407658721092
390.346697143302610.693394286605220.65330285669739
400.3075519174782120.6151038349564250.692448082521788
410.2602931245750680.5205862491501360.739706875424932
420.2175868824812240.4351737649624480.782413117518776
430.1668893389502960.3337786779005910.833110661049704
440.1191070785359380.2382141570718750.880892921464062
450.08720452610082730.1744090522016550.912795473899173
460.1957527758604940.3915055517209890.804247224139506
470.3102850266970570.6205700533941130.689714973302943
480.2325925467159420.4651850934318840.767407453284058
490.1553725926699910.3107451853399820.844627407330009
500.09133509765323890.1826701953064780.908664902346761
510.0683219295005640.1366438590011280.931678070499436


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