WGU C207 – BUSINESS QUESTION AND DATA – DRIVEN DECISION |
ACCURATE AND VERIFIED
Linear Regression Analysis
Nicole Hoagland
C207 – Data-Driven Decision Making
Alex Neely
Business Question and Data – Driven Decision
, LINEAR REGRESSION ANALYSIS 2
Decisions are made every day, but decisions made in business, that aren’t backed by data,
can be costly. It’s important for those responsible for decision making to understand not only
what data needs to be tracked and analyzed, but also how to interpret the data once it’s gathered
and appropriately processed through various analytical tools. Once such analytical tool is the
linear regression, which put simply is a method to view the relationship, if any, between
variables.
Working in the healthcare field can be stressful. Whether it be front office staff who are
connecting with patients before they see their care providers, or the providers themselves,
dealing with giving daunting news to their patients, the work these individuals conduct on a daily
basis is not free from physical and emotional stress. A vital component to battling this stress is
the benefits package provided by their employer. Competitive pay and generous benefits can
help reduce overall stress, but it should come as no surprise that attrition within the healthcare
field is high when compared to levels in other industries.
In the case of one such employer, the executive team recognized the rising rate of
attrition for their nursing staff and became determined to combat it by offering a wellness
program. Participation was strictly voluntary, but cash bonuses were offered to those who were
consistent in completing the various challenges and activities available through the program.
Across three years, the executive team noticed a rise in participation in the program as well as a
decrease in the rate of attrition. Now that the contract for the wellness program is up for renewal,
the benefits team must determine, through linear regression analysis whether or not there exists a
relationship between the reduced rate in attrition and the participation in the wellness program as
well as whether or not the wellness program is an effective tool for reducing nurse attrition.
Description of Relevant Data
ACCURATE AND VERIFIED
Linear Regression Analysis
Nicole Hoagland
C207 – Data-Driven Decision Making
Alex Neely
Business Question and Data – Driven Decision
, LINEAR REGRESSION ANALYSIS 2
Decisions are made every day, but decisions made in business, that aren’t backed by data,
can be costly. It’s important for those responsible for decision making to understand not only
what data needs to be tracked and analyzed, but also how to interpret the data once it’s gathered
and appropriately processed through various analytical tools. Once such analytical tool is the
linear regression, which put simply is a method to view the relationship, if any, between
variables.
Working in the healthcare field can be stressful. Whether it be front office staff who are
connecting with patients before they see their care providers, or the providers themselves,
dealing with giving daunting news to their patients, the work these individuals conduct on a daily
basis is not free from physical and emotional stress. A vital component to battling this stress is
the benefits package provided by their employer. Competitive pay and generous benefits can
help reduce overall stress, but it should come as no surprise that attrition within the healthcare
field is high when compared to levels in other industries.
In the case of one such employer, the executive team recognized the rising rate of
attrition for their nursing staff and became determined to combat it by offering a wellness
program. Participation was strictly voluntary, but cash bonuses were offered to those who were
consistent in completing the various challenges and activities available through the program.
Across three years, the executive team noticed a rise in participation in the program as well as a
decrease in the rate of attrition. Now that the contract for the wellness program is up for renewal,
the benefits team must determine, through linear regression analysis whether or not there exists a
relationship between the reduced rate in attrition and the participation in the wellness program as
well as whether or not the wellness program is an effective tool for reducing nurse attrition.
Description of Relevant Data
