Consider the simple linear regression model yi = Bo + Bit te, where the variance e; is equal to the mean E[Y] (that is, Var [ ] = E[Y] ~ Poisson distribution). Describe two strategies for fitting this model correctly, explaining your reasoning.Question 21 4 If you don't know whether the frequency distribution is normally distributed. O You can use both the Empirical Rule and the Central Limit Theorem O You can't use the Empirical Rule, but you can use the Central Limit Theorem O You can't use the Central Limit Theorem, but you can use the Empirical Rule You can't use either the Empirical Rule or the Central Limit Theorem1. What is the meaning of the central limit theorem for means, and the central limit theorem for proportions? When and how are they used? Compare and contrast the central limit theorem for means vs. the central limit theorem for proportions. Include at least one similarity, and one difference