请大家帮忙判断正误，谢谢

1.The Count R2 is a measure of goodness of fit for binary regressand models.

2.Durbin-Waston’s d test can be used when we have stochastic explanatory variables.

3.When the residuals, from a regression model, are randomly distributed a possible remedy is to include an  additional exogenous variable.

4.The rate of change of the mean value with respect to a regressor in a Poisson regression model is constant.

5.If the logit, L, is positive, it means that when the value of the regressor increase, the odds that the  regressand equals 1 increases.