Preparation
Analyze the Pastas R Us charts file for your report, including the scatter plots and regression equations for the following pairs of variables:
- “Sales/Sq.Ft. ($)” versus “Bach. Degrees (%)”
- “Median Income ($)” versus “Sales/Sq.Ft. ($)”
- “Median Age (Years)” versus “Sales/Sq.Ft. ($)”
- “Loyalty Card (%)” versus “Sales Growth (%)”
Minimum 750 word predictive and qualitative analysis report of Pastas R Us, Inc. that includes the following sections: scope and descriptive statistics, analysis, and recommendations and implementation.
Section 1: Scope and descriptive statistics
- State the report’s objective.
- Discuss the nature of the current data. What variables were analyzed?
- Summarize your descriptive statistical findings from Week 1.
Section 2: Analysis
- Interpret the scatter plots and designate the type of relationship (increasing/positive, decreasing/negative, or no relationship) observed in each one.
- Determine what you can conclude from these relationships. You may include a copy of each chart in your report, but it is not required.
Section 3: Recommendations and implementation
- Based on the findings, assess which expansion criteria seem to be more effective. Could any expansion criterion be changed or eliminated? If so, which one(s) and why?
- Based on the findings, does it appear as if the loyalty card is positively correlated with sales growth? Would you recommend any changes to this marketing strategy?
- Based on the findings, recommend market positioning that targets a specific demographic. (Hint: Are younger people patronizing the restaurants more than older people?)
- Include how the local culture and communities are represented in your market position in your recommendations.
- Indicate what information should be collected to track and evaluate the effectiveness of your recommendations. How can this data be collected? (Hint: Would you use surveys/samples or census?)
Format your references according to APA guidelines. Attached are week 1 document and this week 2 document to use.