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Consider a Poisson Regression Model Ln(µ/t)=a+b?(female)+ B?(age), Where the Outcome

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Consider a Poisson regression model ln(µ/t)=a+b?(female)+ b?(age), where the outcome variable is the number of motorcycle accidents during the past 10 years. Using data from a national injury surveillance system, the following table results from performing the Poisson regression:
Consider a Poisson regression model ln(µ/t)=a+b?(female)+ b?(age), where the outcome variable is the number of motorcycle accidents during the past 10 years. Using data from a national injury surveillance system, the following table results from performing the Poisson regression:    a. Compute an estimate for the adjusted rate ratio associated with gender. b. Provide a 95% CI for the adjusted rate ratio. c. Using the answers from (a) and (b), provide a summary conclusion. a. Compute an estimate for the adjusted rate ratio associated with gender.
b. Provide a 95% CI for the adjusted rate ratio.
c. Using the answers from (a) and (b), provide a summary conclusion.

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a.exp(1.40)=4.1.
b.exp(1.4±1.96*0.62)=(1...

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