For an I J contingency table with ordinal Y and scores {x i = i} for
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For an I × J contingency table with ordinal Y and scores {xi = i} for x, consider the model logit[P(Y ≤ j | X = xi)] = αj + βxi.
a. Show that residual df = IJ – I – J.
b. Show that independence of X and Y is the special case β = 0.
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a There are J 1 logits in each of I rows ...View the full answer
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