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Questions: The identity link is the standard one with normal responses but is not often used with binary or count responses. Why do you think this is?

My idea: The range for a linear predictor, and the range of the identity link applied to a binomial probability or to a Poisson mean. I am kinda confused

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    $\begingroup$ It’s to map the real line to a range of plausible values of the parameter of the response distribution. Instead of $Poisson(-1)$, the $log$ link gives us $Poisson(e^{-1})$. $\endgroup$ – Dave Feb 14 '20 at 3:47
  • $\begingroup$ @Dave What do mean by Poisson(-1)? $\endgroup$ – Simpson's Paradox Feb 14 '20 at 3:51
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If you use the identity link for the binary data, then your regression equation would be $$ {\rm Pr}(Y_i|x_i)\equiv p_i = \beta_0 + \beta_1 x_i. $$ Without any restriction on the coefficients, RHS can range in real-line (for example, a negative value). Since this does not make any sense for probability $p_i$, we transform it so that $g(p_i)$ takes its value in $[-\infty, \infty]$.

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