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MANUAL DE METODOS CUANTITATIVOS II
(PAGINA 32)

Minitab 11:

EJERCICIO 3

MTB > READ METHOD IN C1, SUBJECT IN C2, SCORE IN C3
DATA> 1 1 8
DATA> 1 1 5
DATA> 1 2 5
DATA>1 2 7
DATA> 2 1 3
DATA> 2 1 2
DATA> 2 2 9
DATA> 2 2 9
DATA> 3 1 12
DATA> 3 1 10
DATA> 3 2 8
DATA> 3 2 9
DATA> 4 1 5
DATA> 4 1 3
DATA> 42 3
DATA> 4 2 5
DATA> END
16 rows read.
MTB > NAME C1= 'METHOD', C2= 'SUBJECT', C3= 'SCORE'
MTB > TWOWAY AOV FOR 'SCORE', DIMENSIONS 'METHOD', 'SUBJECT'

Two-way Analysisof Variance

Analysis of Variance for SCORE
Source DF SS MS
METHOD 3 69.69 23.23
SUBJECT 1 3.06 3.06
Interaction 3 45.69 15.23Error 8 13.50 1.69
Total 15 131.94

EJERCICIO 4

MTB > NAME C1 = 'X', C2 = 'Y'
MTB > READ 'X', 'Y'
DATA> 25 89
DATA> 26 92
DATA> 12 32DATA> 32 92
DATA> 29 90
DATA> 10 30
DATA> 21 87
DATA> 27 88
DATA> 15 34
DATA> 18 30
DATA> END
10 rows read.
MTB > PLOT 'Y'*'X'
MTB > REGRESS 'Y' USING 1PREDICTOR 'X', C3, PUT FISTS IN C4;
SUBC> RESIDUALS IN C5;
SUBC> PREDICT 35;
SUBC> PREDICT 95.

Regression Analysis

The regression equation is
Y = - 11.4 + 3.62 X

PredictorCoef StDev T P
Constant -11.37 13.90 -0.82 0.437
X 3.6170 0.6137 5.89 0.000

S = 13.81 R-Sq = 81.3% R-Sq(adj) = 78.9%Analysis of Variance

Source DF SS MS F P
Regression 1 6626.3 6626.3 34.74 0.000
Error 8 1526.1 190.8
Total9 8152.4

Fit StDev Fit 95.0% CI 95.0% PI
115.23 9.37 ( 93.63, 136.83) ( 76.74, 153.72)

Fit StDev Fit 95.0% CI 95.0%...