.ﺃﺳﺎﻟﻴﺐ ﺍﻛﺘﺸﺎﻑ ﺍﳌﺸﺎﻫﺪﺍﺕ ﺍﻟﺸﺎﺫﺓ ﻭﺍﳌﺆﺛﺮﺓ ﻋﻠﻰ ﺍﻻﳓﺪﺍﺭ ﺍﳋﻄﻲ S = 1.09759
R-Sq = 88.9%
R-Sq(adj) = 88.1%
Analysis of Variance Source Regression Residual Error Total
Source X3 X3^2
DF 1 1
DF 2 27 29
SS 260.75 32.53 293.28
MS 130.38 1.20
F 108.22
P 0.000
Seq SS 219.36 41.39
Unusual Observations Obs 17 20 21
X3 25.0 15.1 18.0
Y 12.500 14.300 15.500
Fit 12.262 12.129 12.974
SE Fit 0.968 0.305 0.347
Residual 0.238 2.171 2.526
St Resid 0.46 X 2.06R 2.43R
R denotes an observation with a large standardized residual. X denotes an observation whose X value gives it large influence. MTB > copy c2-c4 m2 MTB > trans m2 m1 MTB > print m1
Data Display Matrix M1 1 7 49
1 13 169
1 25 625
1 10 100
1.00 11.20 125.44 MTB MTB MTB MTB MTB MTB
1 19 361
> > > > > >
1 13 169
1.00 6.50 42.25
1.00 9.60 92.16 1.00 15.10 228.01
1 8 64
1 15 225
1 5 25
1 12 144
1 18 324
1 11 121
1.00 5.60 31.36
1 14 196 1.00 8.50 72.25
1 7 49
1 19 361
1.00 6.30 39.69
1 16 256 1 14 196
1 11 121 1.00 4.60 21.16
1 6 36
1.00 7.60 57.76
1.00 7.50 56.25
1.00 9.50 90.25 mult m1 m2 m3 inve m3 m4 mult m2 m4 m5 mult m5 m1 m6 diag m6 c12 print c12
Data Display c12 0.062275 0.146532 0.093236 0.053234 0.054681
12
0.067151 0.060517 0.051840 0.111501 0.044728
0.121516 0.072497 0.777795 0.044594
0.067151 0.062275 0.046849 0.081898
0.045068 0.121516 0.075367 0.072497
0.047539 0.081343 0.077247 0.175648
0.076831 0.053234 0.100215 0.053226