As a$$sales manager, you will$$use statistical methods to support actionable business decisions$$for Pastas R Us$,$ Inc., a fast$-$casual restaurant chain specializing in noodle$-$based dishes, soups, and salads. In simpler terms, you are reviewing available information to determine if what your company is doing works. In this assessment, you use$$predictive and qualitative analysis$$skills to create a report for the executive team from available Pastas R Us$,$ Inc. data about the effectiveness of the current expansion criteria, loyalty card program, and marketing position.$$

Scenario

Since its inception, the Pastas R Us business development team has favored opening new restaurants in areas that satisfy the following demographic conditions within a $3-$mile radius:

Median age is between $2545$ years old.

Household median income is above the national average.

At least $15\%$ of the adult population is college educated.

Last year, the marketing department rolled out a loyalty card strategy to increase sales. Under this program, customers present their loyalty card when paying for their orders and receive some free food after making $10$ purchases.

The company has collected data from its $74$ restaurants to track important variables such as average sales per customer, year$-$on$-$year sales growth, sales per sq$.$ ft$.,$ loyalty card usage as a percentage of sales, and others. A key metric of financial performance in the restaurant industry is annual sales per sq$.$ ft$.$ For example, if a $1,200$ sq$.$ ft$.$ restaurant recorded $$2$ million in sales last year, then it sold $$1,667$ per sq$.$ ft$.$

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 $(\%)$

To assist with these scatters, I've added an Instructional video using a sample dataset; $($The video is for your learning only the submission must be as a Word document$).$ You must apply the concepts to the "PastasR US$"$ dataset provided above. The video covers both week $1$ which I posted before and part $2$ for the week $2$ assignment $($i$.$e$.,$ scatters$).$ Also, please remember that the week $2$ assignment should be a Word document, and in your assignment, you will cut and paste the descriptive statistics part from the week $1$ assignment, cut and paste the scatters $($included in the handout above$),$ and add your analysis on the Word document you are submitting as your week $2$ assignment.

Assessment Deliverable

Write a$700-$ to $1,050-$word predictive and qualitative analysis report$$in MS Word that includes the following sections: scope and descriptive statistics, analysis, and recommendations and implementation.$$Make sure that each of these sections has headings $($see the rubric$).$

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 $1.$ In the summary section, Cut and paste the table from Week $1$ HW showing ONLY the descriptive statistics $($Not the entire dataset$)$ for all variables and add a summary. $($there will be a $10-$point deduction for cutting the entire Excel page instead of doing just the descriptive statistics part$)$

Section $2$: Analysis$$

Interpret the scatter plots and designate the type of relationship using regression parameters $($increasing$/$positive$,$ decreasing$/$negative$,$ or no relationship$)$ observed in each one.

Determine what you can conclude from these relationships. You need to include a copy of each chart in your report.$$

Section $3$: Expansion Criteria

What are the expansion criteria and why?

Section $4$: 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?$)$