WGU C207 QUM2 TASK 1: LINEAR REGRESSION ANALYSIS |
ACCURATE AND VERIFIED
QUM2 TASK 1: LINEAR REGRESSION ANALYSIS
Victor Adeosun
WGU
C207- Data- Driven Decision Making
Professor MJ Gallo
06/26/2026
, LINEAR REGRESSION 2
ANALYSIS
Data Driven Decision Making
A. Data Driven Decision - Business Question
Statistics and the supplied scenario show that a Human Resources-designed program for
employee well-being reduces the number of nurses who quite due to stress. Over the
course of 36 months, we will evaluate the data using linear regression. Question: "Does
the percentage of well-being participants predict the percentage of nurse attrition?" will
guide the analysis.
B1. Description of Relevant Data
a. The independent variable represents the rate at which a certain population takes part
in each program. These results provide support for the hypothesis that retention rates are
linked to nurses' engagement with a company's wellness initiative.
b. The dependent variable is a measure of the turnover rate among nurses. Based on these
findings, it seems that a well-being program is having an impact on reducing the number
of nurses leaving their positions due to stress.
c. Type of Data - The percentage attrition rate demonstrates how many nurses have
departed a company compared to how many are still employed there. Even though this
value can be 0, we nonetheless classify these ratios as continuous.
d. Quantity of Data - Two measures, attrition and program participation, were tracked
over the course of the study's 36-month duration. There are a total of 72 points of data.
The 36 data points are analyzed by the linear regression model.
B2. Graphical Display
Please refer the Data Analysis Template tab of the attached Excel Spreadsheet.
ACCURATE AND VERIFIED
QUM2 TASK 1: LINEAR REGRESSION ANALYSIS
Victor Adeosun
WGU
C207- Data- Driven Decision Making
Professor MJ Gallo
06/26/2026
, LINEAR REGRESSION 2
ANALYSIS
Data Driven Decision Making
A. Data Driven Decision - Business Question
Statistics and the supplied scenario show that a Human Resources-designed program for
employee well-being reduces the number of nurses who quite due to stress. Over the
course of 36 months, we will evaluate the data using linear regression. Question: "Does
the percentage of well-being participants predict the percentage of nurse attrition?" will
guide the analysis.
B1. Description of Relevant Data
a. The independent variable represents the rate at which a certain population takes part
in each program. These results provide support for the hypothesis that retention rates are
linked to nurses' engagement with a company's wellness initiative.
b. The dependent variable is a measure of the turnover rate among nurses. Based on these
findings, it seems that a well-being program is having an impact on reducing the number
of nurses leaving their positions due to stress.
c. Type of Data - The percentage attrition rate demonstrates how many nurses have
departed a company compared to how many are still employed there. Even though this
value can be 0, we nonetheless classify these ratios as continuous.
d. Quantity of Data - Two measures, attrition and program participation, were tracked
over the course of the study's 36-month duration. There are a total of 72 points of data.
The 36 data points are analyzed by the linear regression model.
B2. Graphical Display
Please refer the Data Analysis Template tab of the attached Excel Spreadsheet.
