True or False:

1. An overdispersion parameter close to 1 indicates hta the variability of the response is close to variability estimated by the model.
2. The number of parameters that need to be estimated in a logistic regression model with 5 predicting variables and an intercept is the same as the number of parameters that need to be estimated in a standard linear regression model with an intercept and same predicting variables.
3. Let Y represent a response variable. Poisson regression with a log link differs from a standard linear regression with a log-transformation on Y in that given a set of predictors, the variance of Y is assumed to be the same as the expected value of Y in Poisson regression.
4. In Poisson regression, there is a linear relationship between the log rate and the predicting variables.
5. The hypothesis testing procedure for subsets of regression coefficients cannot be used for goodness-of-fit assessment in logistic regression.