Adding blocks to a design will always improve the fit of the model to the data.
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Q25: If we fail to appreciate the fact
Q26: The calculation of the F-value for a
Q27: If the null hypothesis for a linear
Q28: When linear models include more than one
Q29: Adding blocks to a design is usually
Q31: Blocking factors are considered explanatory factors in
Q32: In an interaction plot, the two factors
Q33: When the interaction term is not significant
Q34: An ANCOVA analysis typically uses two categorical
Q35: Most ANCOVA analyses do not include a
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