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C207 QUM2 Data-Driven Decision Making QUM2 Task 1 Linear Regression Analysis passed Western Governors University $12.99   Add to cart
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C207 QUM2 Data-Driven Decision Making QUM2 Task 1 Linear Regression Analysis passed Western Governors University
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C207 QUM2 Data-Driven Decision Making QUM2 Task 1 Linear Regression Analysis passed Western Governors University

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  • October 24, 2024
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  • 2024/2025
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  • c207 qum2 data driven decision making qum2 task 1
  • c207 qum2 data driven decision making
  • c207 qum2 task 1 linear regression analysis

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lOMoARcPSD|6353920




1
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C207 QUM2 Data-Driven Decision Making QUM2
Task 1 Linear Regression Analysis passed Western
Governors University


QUM2 Task 1: Linear Regression Analysis



Western Governors

University C207 Instructor:

Alex Neely

September 6, 2024

, lOMoARcPSD|6353920




2


A. Business Question

The following business question can be answered by applying linear regression: How

effective is the employee well-being program in reducing the nurse attrition rate?



B1. Linear Regression Analysis Data Characteristics

1. Independent variable(s): The independent variable, represented on the x-axis, is

the program participation rate (%).

2. Dependent variable: The dependent variable, represented on the y-axis, is the nurse

attrition rate (%).

3. Type of data: The type of data in this scenario would be considered continuous data since

it measures the ratio between nurses who retain employment and those who are no

longer employed, shown as a percentage.

4. Quantity of data: The data for both program participation rate and nurse attrition rate

were measured over 36 months. Based on the 72 points collected, the linear regression

model examines 36 points.




B2. Graphical Display (Scatter Plot)

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