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Welcome to Minitab, press F1 for help.

Factorial Fit: Y versus A, B

Estimated Effects and Coefficients for Y (coded units)

Term Effect Coef SE Coef T P

Constant 40.4250 0.1037 389.89 0.000

A 1.5500 0.7750 0.1037 7.47 0.002

B 0.6500 0.3250 0.1037 3.13 0.035

A*B -0.0500 -0.0250 0.1037 -0.24 0.821

Ct Pt 0.0350 0.1391 0.25 0.814

S = 0.207364 R-Sq = 94.27% R-Sq(adj) = 88.54%

Analysis of Variance for Y (coded units)

Source DF Seq SS Adj SS Adj MS F P

Main Effects 2 2.82500 2.82500 1.41250 32.85 0.003

2-Way Interactions 1 0.00250 0.00250 0.00250 0.06 0.821

Curvature 1 0.00272 0.00272 0.00272 0.06 0.814

Residual Error 4 0.17200 0.17200 0.04300

Pure Error 4 0.17200 0.17200 0.04300

Total 8 3.00222

Unusual Observations for Y

St

Obs StdOrder Y Fit SE Fit Residual Resid

1 1 39.3000 39.3000 0.2074 0.0000 * X

2 2 40.9000 40.9000 0.2074 0.0000 * X

3 3 40.0000 40.0000 0.2074 0.0000 * X

4 4 41.5000 41.5000 0.2074 0.0000 * X

X denotes an observation whose X value gives it large influence.

Alias Structure

I

A

B

A*B

Full Factorial Design

Factors: 2 Base Design: 2, 4

Runs: 9 Replicates: 1

Blocks: 1 Center pts (total): 5

All terms are free from aliasing.

Results for: Worksheet 2

Full Factorial Design

Factors: 2 Base Design: 2, 4

Runs: 9 Replicates: 1

Blocks: 1 Center pts (total): 5

All terms are free from aliasing.

Results for: Ex11-1.MTW

Factorial Fit: Y versus A, B

Estimated Effects and Coefficients for Y (coded units)

Term Effect Coef SE Coef T P

Constant 40.4250 0.09341 432.78 0.000

A 1.5500 0.7750 0.09341 8.30 0.000

B 0.6500 0.3250 0.09341 3.48 0.018

Ct Pt 0.0350 0.12532 0.28 0.791

S = 0.186815 R-Sq = 94.19% R-Sq(adj) = 90.70%

Analysis of Variance for Y (coded units)

Source DF Seq SS Adj SS Adj MS F P

Main Effects 2 2.82500 2.82500 1.41250 40.47 0.001

Curvature 1 0.00272 0.00272 0.00272 0.08 0.791

Residual Error 5 0.17450 0.17450 0.03490

Lack of Fit 1 0.00250 0.00250 0.00250 0.06 0.821

Pure Error 4 0.17200 0.17200 0.04300

Total 8 3.00222

Alias Structure

I

A

B

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