Multiple Linear Regression - Estimated Regression Equation
sws[t] = + 11.5047546134694 -0.017006875090139bodyweight[t] + 0.00947466732700596brainweight[t] + 0.88992325198032ps[t] + 0.514276787763356total[t] + 0.0419547242105247lifespan[t] -0.0599250775070244gesttime[t] + 16.8380493297638pindex[t] -0.744570060249773expindex[t] -27.3399375680966dangindex[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)11.504754613469439.8410860.28880.7739080.386954
bodyweight-0.0170068750901390.053476-0.3180.7517350.375868
brainweight0.009474667327005960.0533180.17770.8596480.429824
ps0.889923251980320.04527219.657300
total0.5142767877633560.0695347.396100
lifespan0.04195472421052470.0694460.60410.5483830.274192
gesttime-0.05992507750702440.062245-0.96270.3401420.170071
pindex16.838049329763831.6475250.5320.5969580.298479
expindex-0.74457006024977320.792592-0.03580.9715710.485786
dangindex-27.339937568096641.04811-0.6660.5083260.254163


Multiple Linear Regression - Regression Statistics
Multiple R0.961275674554623
R-squared0.924050922490445
Adjusted R-squared0.91090588984456
F-TEST (value)70.2965863519368
F-TEST (DF numerator)9
F-TEST (DF denominator)52
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation126.788663342079
Sum Squared Residuals835918.987907692


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1-999-1007.136645446938.13664544692746
26.3-16.979667386462323.2796673864623
3-999-884.990656654014-114.009343345986
4-999-911.734250438054-87.2657495619457
52.1-81.659146187265483.7591461872654
69.1-35.950675928977345.0506759289773
715.812.56246300587353.23753699412646
85.2-53.482297307909158.6822973079091
910.97.760344575061163.13965542493884
108.3-1.9105828879445810.2105828879446
1111-15.244200188418026.244200188418
123.2-61.579628821529164.7796288215291
137.615.4220201343521-7.82202013435213
14-999-951.57317260671-47.4268273932907
156.34.087142525860312.21285747413969
168.6-5.9597015106965114.5597015106965
176.6-4.0820289928414910.6820289928415
189.5-11.128200659687820.6282006596878
194.865.2411549245888-60.4411549245888
201274.9011090575539-62.9011090575539
21-999-583.572232744676-415.427767255324
223.3-49.738963869169153.0389638691691
231116.2380382334682-5.23803823346821
24-999-897.963428220233-101.036571779767
254.7-11.930390679440316.6303906794403
26-999-884.670684549709-114.329315450291
2710.421.7892485482383-11.3892485482383
287.4-14.691076775876222.0910767758762
292.1-63.383779144794865.4837791447948
30-999-888.486729772669-110.513270227331
31-999-1455.21786248575456.217862485749
327.7-10.406143273581818.1061432735818
3317.910.28510899912067.61489100087937
346.15.710976138492350.389023861507651
358.2-19.000677248609727.2006772486097
368.4-57.049407483437365.4494074834373
3711.93.037000347679878.86299965232013
3810.82.743625988740678.05637401125933
3913.831.5783369458249-17.7783369458249
4014.321.9280225837138-7.6280225837138
41-999-582.586158997079-416.413841002921
4215.2-8.3909548550857623.5909548550858
4310-35.494790422895145.4947904228951
4411.9-1.9889929105239713.8889929105240
456.5-34.788785642955241.2887856429552
467.5-40.637047015445748.1370470154457
47-999-896.49504954742-102.50495045258
4810.6-12.691225589115523.2912255891155
497.45.134576023892832.26542397610717
508.4-12.758473987166521.1584739871665
515.7-19.878680375477425.5786803754774
524.9-31.361664772390836.2616647723908
53-999-940.021076900148-58.978923099852
543.2-49.734738139381152.9347381393811
55-999-899.130254308336-99.869745691664
568.173.8697876937131-65.7697876937131
5711-4.7542676106434415.7542676106434
584.9-29.111254293750334.0112542937503
5913.213.6511213015473-0.451121301547339
609.7-38.004584652544147.7045846525441
6112.832.2111490176230-19.4111490176230
62-999-1370.50099475960371.500994759604


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
135.85530466046474e-061.17106093209295e-050.99999414469534
142.49212117623842e-074.98424235247683e-070.999999750787882
153.98543394847371e-097.97086789694742e-090.999999996014566
161.21712211831184e-102.43424423662368e-100.999999999878288
179.92726712757985e-121.98545342551597e-110.999999999990073
182.48247394380322e-134.96494788760645e-130.999999999999752
196.35539135521118e-151.27107827104224e-140.999999999999994
202.34335570564125e-164.68671141128249e-161
213.33350154203865e-166.66700308407729e-161
228.35528973323593e-181.67105794664719e-171
231.97642588343573e-193.95285176687147e-191
245.04058730927046e-211.00811746185409e-201
251.40080590755669e-222.80161181511339e-221
263.83930412639129e-247.67860825278258e-241
278.45628647743007e-261.69125729548601e-251
282.12207622127697e-274.24415244255393e-271
293.61629807051675e-277.23259614103349e-271
309.35930372294388e-291.87186074458878e-281
310.9026206667202710.1947586665594580.097379333279729
320.8650029883091820.2699940233816360.134997011690818
330.8119842448752920.3760315102494150.188015755124708
340.9146707328411120.1706585343177750.0853292671588876
350.888759525333110.2224809493337820.111240474666891
360.9878635504181470.02427289916370530.0121364495818526
370.9789153486962730.04216930260745490.0210846513037275
380.9643500204678640.07129995906427160.0356499795321358
390.947893436577850.1042131268443020.0521065634221509
400.940854753070390.1182904938592190.0591452469296094
4115.27468078619429e-172.63734039309714e-17
4212.40005524123124e-161.20002762061562e-16
430.9999999999999976.4527984397826e-153.2263992198913e-15
440.9999999999998962.08111843611861e-131.04055921805931e-13
450.9999999999965256.95001013431229e-123.47500506715615e-12
460.999999999804383.91240936915283e-101.95620468457641e-10
470.9999999895814042.08371916402400e-081.04185958201200e-08
480.9999996266627967.46674409060586e-073.73337204530293e-07
490.999980533273023.89334539618300e-051.94667269809150e-05


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level270.72972972972973NOK
5% type I error level290.783783783783784NOK
10% type I error level300.810810810810811NOK