Descriptive statistics for the ICU dataset are shown in the following tableLinks to an external site.. The numbers in the table indicate mean(SD) for continuous variables, or N(%) for categorical variables. Our goal is to build a multivariable logistic model to predict the outcome 'status'. The dataset (160 survivors and 40 who died) is not large enough to support fitting a multivariable model that includes all of the potential predictor variables. What is the maximum number of explanatory variables that we can expect to be able to include without overfitting the model? Explain the 'Rule of Thumb