Question: For an I J contingency table with ordinal Y and scores {x i = i} for x, consider the model logit[P(Y j |

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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