Which of the following statements about generalized linear models (GLMs) is fals

Question

Which of the following statements about generalized linear models (GLMs) is false?

(a). GLMS provide a framework to connect linearly additive models to non-continuous outcomes

(b). In many useful GLMs, exact solutions are not available but we can use iterative algorithms to find approximate parameter estimates

(c). The use of link functions makes it impossible to provide substantive interpretation of coefficient estimates; instead, we can only interpret sign (positive/negative) and statistical significance

(d). In sufficiently large samples, the sampling distribution of parameter estimates converges in distribution to the normal

(e). None of these / cannot say

Explanation / Answer

The use of link functions makes it impossible to provide substantive interpretation of coefficient estimates; instead, we can only interpret sign (positive/negative) and statistical significance

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