Given your answer to Question 32, fit a different Poisson log linear model to the CTR data that you believe may more accurately reflect the relationship between cancer incidence rates and age The models log() log(t) 0 1x2 and log() log(t) 0 1x 2x2 are both still generalized linear models The functions are linear in terms of the model coefficents, yet allow a nonlinear relationship between x and log() What does the deviance statistic suggest about the fit of your new model

Question: Given your answer to Question 32, fit a different Poisson log- linear model to the CTR data that you believe may more accurately reflect the

Given your answer to Question 32, fit a different Poisson log- linear model to the CTR data that you believe may more accurately reflect the relationship between cancer incidence rates and age. The models log(λ) = log(t) + β0 + β1x2 and log(λ) = log(t) + β0 + β1x + β2x2 are both still generalized linear models. The functions are linear in terms of the model coefficents, yet allow a nonlinear relationship between x and log(λ). What does the deviance statistic suggest about the fit of your new model?

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