Question: In Example 9.1, we added the quadratic terms pcnv2, ptime862, and inc862 to a linear model for narr86. (i) Use the data in CRIME 1

In Example 9.1, we added the quadratic terms pcnv2, ptime862, and inc862 to a linear model for narr86.
(i) Use the data in CRIME 1 .RAW to add these same terms to the Poisson regression in Example 17.3.
(ii) Compute the estimate of Ïƒ2 given by

there evidence of over dispersion? How should the Poisson MLE standard errors be adjusted?
(iii) Use the results from parts (i) and (ii) and Table 17.3 to compute the quasi-likelihood ratio statistic for joint significance of the three quadratic terms. What do you conclude?

= (n - k - 1)E7,

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