Solution
= Solution
The second fit is a <Quasi-Poisson regression>. It retains the <logarithmic link function> and mean model
$$
\log\mu_i=\beta_0+\beta_1x_{i1}+\beta_2x_{i2},
$$
but assumes only $\operatorname{Var}(Y_i)=\phi\mu_i$ for an unknown <dispersion parameter> $\phi$, rather than a complete <Poisson distribution>.