WGU C207 Task 1 - Analyzing Nurse Attrition with Linear Regression Graded A+ 2026

A. Business Question A business question that linear R could be answered by linear regression is “Does increasing nurse participation in the well-being program help reduce the number of nurses leaving the hospital, and by how much?” This question is to determine whether getting more nurses involved in the program will lower the number of nurses quitting their jobs. Some key factors would be participation, like how many nurses join the well-being program each month. Secondly, what is the attrition rate for how many nurses leave the hospital each month? Lastly, what the outcome will be? The analysis will show if more participation in the program leads to fewer nurses quitting and how significant the effect is. This will help with the hospital and can decide whether the program is working well and worth continuing. B. Relevant Date Characteristics The independent variable would be the monthly rate of nurses participating in the well-being program. This would represent the number of nurses participating in the program during a month. It is used to predict changes in the dependent variable. Secondly, the dependent variable would be the monthly nurse attrition rate, which is the percentage of nurses leaving their jobs. This outcome is what the hospital is trying to understand and wants to reduce based on the participation in the program. Thirdly, the data type is both variable and continuous numerical data or quantitative. It consists of the nurse participation and attrition rates, measured in percentages or rates that can take on any value within a range and not the categorical values. Lastly, the quantity of data, which is the dataset that includes 36 months of data. This shows that the hospital has monthly data on nurse participation and attrition rates for 36 data points