You will conceptually design a regression analysis and explain how it would support a business decision

In this assignment, you will conceptually design a regression analysis and explain how it would support a business decision—without running any calculations. The emphasis is on logic, interpretation, and storytelling.

Assignment Instructions
Step 1: Choose a Business Scenario
Select ONE of the scenarios below (or propose your own with instructor approval):

A company wants to understand what drives customer loyalty for its mobile app.
A retailer wants to identify which factors influence monthly sales across stores.
A streaming service wants to understand what impacts subscriber retention.
A restaurant chain wants to examine drivers of overall customer satisfaction.
Step 2: Identify the Variables
For your chosen scenario, identify:

Dependent Variable (Outcome):
What are you trying to predict or explain?
Independent Variables (Predictors):
Identify at least three predictors and briefly explain why each might influence the outcome.
Example:

Dependent variable: Customer satisfaction
Independent variables: Service speed, price perception, staff friendliness
Step 3: Describe Expected Relationships
For each independent variable, explain:

Whether you expect a positive or negative relationship
Why that relationship makes sense from a marketing perspective
(No statistics required—use logic and insight.)

Step 4: Tell the Regression Story
In bullet points or short paragraphs, explain:

What this regression analysis would help the company understand
How the results could guide marketing or managerial decisions
Step 5: Reflect on Limitations
Briefly identify one limitation of using regression in this scenario (e.g., omitted variables, correlation vs. causation).

References
A minimum of 3 APA formatted references that support your ideas.

Deliverable Requirements
Submit 3-4 slide presentation that includes:

Business scenario
Dependent and independent variables
Expected relationships
Managerial value
One limitation
3 APA references

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