For each level of the factor A, take the mean of those entries of the response vector for which the predictor specifies that level of A . At every data point, take that mean minus the grand mean, square it, then add all of these.
12.
The interpretation of " b " is different for each : in unweighted effects coding " b " is the difference between the mean of the experimental group and the grand mean, whereas in the weighted situation it is the mean of the experimental group minus the weighted grand mean.
13.
The interpretation of " b " is different for each : in unweighted effects coding " b " is the difference between the mean of the experimental group and the grand mean, whereas in the weighted situation it is the mean of the experimental group minus the weighted grand mean.
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