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Task 1: Linear Regression Analysis
Ken Shoup
Western Governors University
Janice Johnson
November 15, 2025
, 2
A. Summarize the business scenario by doing the following:
1. Describe a business question that could be answered by applying linear
regression analysis and is derived from the scenario in the attached “Linear
Regression Analysis Resources."
Is there a significant relationship between program participation rate and nurse attrition rate?
2. State the null hypothesis for this linear regression analysis.
There is no significant relationship between program participation rate and nurse attrition
rate.
3. Using relevant details from the scenario, the business question you proposed in
part A1, and the null hypothesis you stated in part A2, justify why linear
regression is the appropriate analysis technique.
The stated purpose of the study from the scenario is to determine whether a significant
relationship exists between monthly rate of nurse participation and the nurse attrition rate over
the span of 36 months. The null hypothesis simply states that there is no relationship between the
independent variable (program participation rate) and the dependent variable (nurse attrition
rate). A linear relationship is well-suited in providing data to determine whether a relationship
between the independent and dependent variable exists.
B. Describe the data provided in the attached “Linear Regression Analysis Resources”
by doing the following:
1. Describe the relevant data characteristics for your linear regression analysis,
including each of the following:
• independent variable or variables:
Task 1: Linear Regression Analysis
Ken Shoup
Western Governors University
Janice Johnson
November 15, 2025
, 2
A. Summarize the business scenario by doing the following:
1. Describe a business question that could be answered by applying linear
regression analysis and is derived from the scenario in the attached “Linear
Regression Analysis Resources."
Is there a significant relationship between program participation rate and nurse attrition rate?
2. State the null hypothesis for this linear regression analysis.
There is no significant relationship between program participation rate and nurse attrition
rate.
3. Using relevant details from the scenario, the business question you proposed in
part A1, and the null hypothesis you stated in part A2, justify why linear
regression is the appropriate analysis technique.
The stated purpose of the study from the scenario is to determine whether a significant
relationship exists between monthly rate of nurse participation and the nurse attrition rate over
the span of 36 months. The null hypothesis simply states that there is no relationship between the
independent variable (program participation rate) and the dependent variable (nurse attrition
rate). A linear relationship is well-suited in providing data to determine whether a relationship
between the independent and dependent variable exists.
B. Describe the data provided in the attached “Linear Regression Analysis Resources”
by doing the following:
1. Describe the relevant data characteristics for your linear regression analysis,
including each of the following:
• independent variable or variables:
