Now use the combined counts (for both BGA and CTR locations) to fit a Poisson regression model

Question:

Now use the combined counts (for both BGA and CTR locations) to fit a Poisson regression model to the cancer rate data with location as the covariate. Note that for this problem a dummy variable (dummy variables are discussed in Chapters 3 and 7) is used to code the location variable. Let location value = 0 correspond to BGA and location value = 1 correspond to CTR. How many times higher is the cancer rate for the CTR location compared to BGA?