WGU C207 TASK 1 | LATEST UPDATE WITH COMPLETE
SOLUTIONS
Task 1: Data-Driven Decision Making
A: Business Question
In the given scenario, a question that can be answered by applying the linear
regression analysis is, “Is there a significant relationship between participation in a well-
being program and attrition rates of nurses?” This question will be important to the
, hospital in reducing the turnover rate of nursing staff and thereby increasing overall
efficiency and functionality within the hospital.
B1. Relevant Data Characteristics
Independent variable. The independent variable in this scenario is the number of
nurses participating in the well-being program. The independent variable is shown on
the x-axis in the line chart in section C.
Dependent variable. The dependent variable in this scenario is the attrition rate of
nurses resulting from participation in the well-being program. The attrition rate, or
dependent variable, is represented on the y-axis. The attrition rate results from vacant
positions among the nursing staff after an employee's departure.
Type of data. The type of data represented in the linear regression analysis is a ratio.
Data classified as ratio is defined by its organization based on numbers, where zero has
a tangible value as the absence of a value instead of zero as a placeholder. In this
scenario, continuous ratio measures the number of nurses enrolled in the well-being
program and the number of nurses employed at the hospital.
Quantity of data. The quantity of data gives us thirty-six data points representing thirty-
six months or three years of data collected. Each month of the study's data collection
consists of two distinct pieces of data, including the number of nurses enrolled in the
well-being program and the nurse attrition rate.
B2. Graphical Display: Chart Title, Legend, Axis Titles, Data Intervals
SOLUTIONS
Task 1: Data-Driven Decision Making
A: Business Question
In the given scenario, a question that can be answered by applying the linear
regression analysis is, “Is there a significant relationship between participation in a well-
being program and attrition rates of nurses?” This question will be important to the
, hospital in reducing the turnover rate of nursing staff and thereby increasing overall
efficiency and functionality within the hospital.
B1. Relevant Data Characteristics
Independent variable. The independent variable in this scenario is the number of
nurses participating in the well-being program. The independent variable is shown on
the x-axis in the line chart in section C.
Dependent variable. The dependent variable in this scenario is the attrition rate of
nurses resulting from participation in the well-being program. The attrition rate, or
dependent variable, is represented on the y-axis. The attrition rate results from vacant
positions among the nursing staff after an employee's departure.
Type of data. The type of data represented in the linear regression analysis is a ratio.
Data classified as ratio is defined by its organization based on numbers, where zero has
a tangible value as the absence of a value instead of zero as a placeholder. In this
scenario, continuous ratio measures the number of nurses enrolled in the well-being
program and the number of nurses employed at the hospital.
Quantity of data. The quantity of data gives us thirty-six data points representing thirty-
six months or three years of data collected. Each month of the study's data collection
consists of two distinct pieces of data, including the number of nurses enrolled in the
well-being program and the nurse attrition rate.
B2. Graphical Display: Chart Title, Legend, Axis Titles, Data Intervals
