Multiple Linear Regression - Estimated Regression Equation
PS[t] = + 3.62388684905666 + 0.0115328862754582SWS[t] -0.0133813431715984LifeSpan[t] + 0.00133188408343262BodyW[t] + 0.000311047350003712BrainW[t] -0.00484781985414119GT[t] + 0.8840450491086PI[t] + 0.357433139265944SEI[t] -1.70617590983705ODI[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3.623886849056660.8704444.16330.0002110.000106
SWS0.01153288627545820.0572210.20160.8415050.420753
LifeSpan-0.01338134317159840.014517-0.92180.3633430.181672
BodyW0.001331884083432620.0018670.71320.4807240.240362
BrainW0.0003110473500037120.0011170.27840.7824620.391231
GT-0.004847819854141190.002328-2.08270.0451110.022555
PI0.88404504910860.3522072.510.0171560.008578
SEI0.3574331392659440.2151371.66140.1061010.05305
ODI-1.706175909837050.454756-3.75190.0006770.000338


Multiple Linear Regression - Regression Statistics
Multiple R0.787947573648145
R-squared0.620861378817999
Adjusted R-squared0.52894898580418
F-TEST (value)6.75492562493347
F-TEST (DF numerator)8
F-TEST (DF denominator)33
p-value3.14250718375098e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.953180992750902
Sum Squared Residuals29.9822821630727


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
121.327144908120000.672855091880002
21.82.13841055928803-0.338410559288035
30.70.706025765340633-0.00602576534063304
43.92.917613463130010.982386536869987
510.1410303513648910.85896964863511
63.62.974598497282380.625401502717623
71.41.67717826644156-0.277178266441559
81.52.14193428925577-0.641934289255774
90.70.3245249315117320.375475068488268
102.12.98187632428129-0.88187632428129
1102.00063994960512-2.00063994960512
124.12.488846157376671.61115384262333
131.22.08497108783365-0.884971087833654
140.50.4259629236064750.0740370763935246
153.43.218683582408880.18131641759112
161.52.09110128264438-0.591101282644382
173.43.148167186851340.251832813148663
180.81.94879719317374-1.14879719317374
190.8-0.02214433224152360.822144332241524
201.41.88410854504362-0.484108545043622
2122.80217564377778-0.80217564377778
221.91.090196830836640.809803169163356
231.32.40143997881994-1.10143997881994
2422.35149692111489-0.351496921114892
255.64.081531254443261.51846874555674
263.13.54745824300154-0.447458243001537
271.82.03598091816478-0.235980918164783
280.90.83508160477570.0649183952242993
291.82.22363280679769-0.423632806797694
301.91.232974442157470.667025557842527
310.91.00284167938657-0.102841679386569
322.61.473443388322021.12655661167798
332.42.88262600606907-0.482626006069074
341.22.03043366947395-0.830433669473952
350.91.58062478398644-0.680624783986437
360.50.769150938992037-0.269150938992037
370.60.4660086692994920.133991330700508
382.32.114842199160190.185157800839807
390.50.508004154843701-0.0080041548437012
402.63.47790988581082-0.877909885810824
410.60.2039587559344430.396041244065557
426.64.088716292512882.51128370748712


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.8471979779289710.3056040441420570.152802022071029
130.9185188104889640.1629623790220710.0814811895110357
140.8519286656087180.2961426687825630.148071334391282
150.7923076590701760.4153846818596480.207692340929824
160.6889338664599960.6221322670800080.311066133540004
170.6377610429150910.7244779141698170.362238957084909
180.6158016599972830.7683966800054340.384198340002717
190.5521404872209820.8957190255580350.447859512779018
200.4555683192063170.9111366384126350.544431680793683
210.4266133705035530.8532267410071060.573386629496447
220.4337156036212550.8674312072425110.566284396378745
230.4942375940282620.9884751880565240.505762405971738
240.5330648672123020.9338702655753970.466935132787698
250.5975597640380820.8048804719238360.402440235961918
260.5436022649325010.9127954701349970.456397735067499
270.4157331849398440.8314663698796890.584266815060156
280.3057901602358670.6115803204717340.694209839764133
290.2444414074902590.4888828149805190.755558592509741
300.242229251538890.484458503077780.75777074846111


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