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?)\