choccake

choccake - PROC MIXED analysis of choc cake data 1 The...

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PROC MIXED analysis of choc cake data 1 The Mixed Procedure Model Information Data Set WORK.CAKE Dependent Variable break Covariance Structure Variance Components Estimation Method Type 3 Residual Variance Method Factor Fixed Effects SE Method Model-Based Degrees of Freedom Method Satterthwaite Class Level Information Class Levels Values recipe 3 1 2 3 replicat 15 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 baketemp 6 1 2 3 4 5 6 Dimensions Covariance Parameters 2 Columns in X 28 Columns in Z 45 Subjects 1 Max Obs Per Subject 270 Number of Observations Number of Observations Read 270 Number of Observations Used 270 Number of Observations Not Used 0 Type 3 Analysis of Variance Sum of Source DF Squares Mean Square Expected Mean Square recipe 2 135.088889 67.544444 Var(Residual) + 6 Var(replicat(recipe)) + Q(recipe,recipe*baketemp) baketemp 5 2100.300000 420.060000 Var(Residual) + Q(baketemp,recipe*baketemp) recipe*baketemp 10 205.977778 20.597778 Var(Residual) + Q(recipe*baketemp) replicat(recipe) 42 11403 271.493122 Var(Residual) + 6 Var(replicat(recipe)) Residual 210 4298.888889 20.470899 Var(Residual)

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PROC MIXED analysis of choc cake data 2 The Mixed Procedure Type 3 Analysis of Variance Error Source Error Term DF F Value Pr > F recipe MS(replicat(recipe)) 42 0.25 0.7809 baketemp MS(Residual) 210 20.52 <.0001 recipe*baketemp MS(Residual) 210 1.01 0.4393 replicat(recipe) MS(Residual) 210 13.26 <.0001 Residual . . . .
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This note was uploaded on 11/13/2011 for the course STAT 8630 taught by Professor Staff during the Fall '08 term at UGA.

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choccake - PROC MIXED analysis of choc cake data 1 The...

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