SO 570 Module Six Executive Summary Guidelines and Rubric Overview You are a data and business intelligence analyst working with a network of hospitals in rural districts. The hospital's chief of behavioral health services (CBHS) would like to use existing research data to create a model to predict or classify newer patients as at-risk or not at-risk for clinical depression. Such classification predictions will enable the hospital to provide early mental health interventions to at-risk individuals. The CBHS has tasked your team with creating the predictive classification model and then testing the model on five new patients at the hospital. So far, you have applied different predictive algorithms on the data set and presented your findings to the CBHS. Now, you want to analyze the data further and determine which factors have the strongest and least influence on a patient's risk of depression. This analysis will help behavioral health services team design better and more targeted early intervention programs. In this assignment, you will generate a variable-importance chart to identify which independent variables have the strongest influence on the output from a prediction model. For this assignment, you will use the output values from the logistic regression you performed in