------------------------------------------ 1982 ----------------------------------------
Global results
Dependant variableprix 1982 €
Independant variable(s)rp rp2 rp3 rp4
Examples54
R20.3904265764981
Adjusted R20.36698144482495
Sigma error0.74367193720564
F-Test(2,52)16.65277815203(p < .0000*)
Table 1. ANOVA source table
Source of variation SS df MS F Obs F Stat
Regression SSR = 18.42 dfR = 2 MSR = 9.21 MSR/MSE = 16.65 p < .0000*
Error SSE = 28.76 dfE = 52 MSE = 0.55    
Total SSTO = 47.18 dfTO = 54      
* indicates significance
Table 2. Test of regression parameters
Parameter Estimate SE T Obs T Stat
Intercept b0=7.015958 s{b0}=1.273350 t0=5.509841 p < .0000*
rp4 b1=0.000000 s{b1}=0.000000 t1=3.300749 p = 0.0017*
rp3 b2=-0.000023 s{b2}=0.000008 t2=-2.886831 p = 0.0057*
* indicates significance

Stepwise selection process for prix 1982 €
Step123
R20.29270.3904 
rp12.63(0.0008)7.78(0.0074)0.71(0.4044)
rp215.72(0.0002)8.08(0.0064)0.73(0.3967)
rp318.88(0.0001)8.33(0.0057) 
rp421.94(0.0000)  

-------------- D'AGOSTINO ----------------
K2=14.028333821693 (2.9402510063343)2 + (2.3201848722554)2
(0.0009)
d'Agostino: FAIL

------------------ ANDERSON-DARLING -----------------
A2=1.0406556092784
alpha=0
p-value=p < 0.01
A2=1.040656
(p < 0.01)
Anderson-Darling: FAIL

1982 OUT (1) : Petrus;Pomerol;93;3875;2.5914515210986

Global results
Dependant variableprix €
Independant variable(s)rp rp2 rp3 rp4
Examples53
R20.46687413582385
Adjusted R20.44596723918949
Sigma error0.65520939755569
F-Test(2,51)22.331106523796(p < .0000*)
Table 1. ANOVA source table
Source of variation SS df MS F Obs F Stat
Regression SSR = 19.17 dfR = 2 MSR = 9.59 MSR/MSE = 22.33 p < .0000*
Error SSE = 21.89 dfE = 51 MSE = 0.43    
Total SSTO = 41.07 dfTO = 53      
* indicates significance
Table 2. Test of regression parameters
Parameter Estimate SE T Obs T Stat
Intercept b0=7.209547 s{b0}=1.122925 t0=6.420329 p < .0000*
rp4 b1=0.000000 s{b1}=0.000000 t1=3.977392 p = 0.0002*
rp3 b2=-0.000025 s{b2}=0.000007 t2=-3.507828 p = 0.0010*
* indicates significance

Stepwise selection process for prix €
Step123
R20.33820.4669 
rp14.45(0.0004)11.3(0.0015)1.5(0.2258)
rp218.32(0.0001)11.82(0.0012)1.57(0.2159)
rp322.45(0.0000)12.3(0.0010) 
rp426.58(0.0000)  

-------------- D'AGOSTINO ----------------
K2=2.4007049886962 (1.4455798256832)2 + (0.55767728685485)2
(0.3011)
d'Agostino: PASS

------------------ ANDERSON-DARLING -----------------
A2=0.77819395739211
alpha=0.025
p-value=0.025 =< p < 0.05
A2=0.778194
(0.025 =< p < 0.05)
Anderson-Darling: FAIL

1982 OUT (2) : Le Pin;Pomerol;100;5273;1.6326736917161

Global results
Dependant variableprix €
Independant variable(s)rp rp2 rp3 rp4
Examples52
R20.4267587075308
Adjusted R20.40382905583203
Sigma error0.61569020245506
F-Test(2,50)18.611652420073(p < .0000*)
Table 1. ANOVA source table
Source of variation SS df MS F Obs F Stat
Regression SSR = 14.11 dfR = 2 MSR = 7.06 MSR/MSE = 18.61 p < .0000*
Error SSE = 18.95 dfE = 50 MSE = 0.38    
Total SSTO = 33.06 dfTO = 52      
* indicates significance
Table 2. Test of regression parameters
Parameter Estimate SE T Obs T Stat
Intercept b0=6.837290 s{b0}=1.063626 t0=6.428282 p < .0000*
rp4 b1=0.000000 s{b1}=0.000000 t1=3.544158 p = 0.0009*
rp3 b2=-0.000021 s{b2}=0.000007 t2=-3.111828 p = 0.0031*
* indicates significance

Stepwise selection process for prix €
Step123
R20.31570.4268 
rp13.27(0.0006)9.04(0.0041)0.77(0.3840)
rp216.61(0.0002)9.38(0.0035)0.79(0.3791)
rp320.1(0.0000)9.68(0.0031) 
rp423.53(0.0000)  

-------------- D'AGOSTINO ----------------
K2=2.1466175498673 (1.2638702076202)2 + (0.74111378894027)2
(0.3419)
d'Agostino: PASS

------------------ ANDERSON-DARLING -----------------
A2=0.49276975916933
alpha=0.1
p-value= p >= 0.10
A2=0.49277
( p >= 0.10)
Anderson-Darling: PASS

residuals-poly1982
quantiles-poly1982

-------------- D'AGOSTINO ----------------
K2=2.1466175498673 (1.2638702076202)2 + (0.74111378894027)2
(0.3419)
d'Agostino: PASS

------------------ ANDERSON-DARLING -----------------
A2=0.49276975916933
alpha=0.1
p-value= p >= 0.10
A2=0.49277
( p >= 0.10)
Anderson-Darling: PASS


Price estimation (rp) 1982 formula:

log(prix) = 6.8372903415157 - 2.1030011223552E-5 * rp3 + 2.0962014067464E-7 * rp4