Course Title: Data Analysis and Business Analytics Assessment Title: Competency 1 Assessment Points: 1 00 Assignment Directions Read the scenario, part 1, part 2, and the rubric before beginning your assignment. Scenano Pastas R Us, lnc. is a fastcasual restaurant chain specializing in noodlebased dishes, soups. and salads. Since its inception. the business development team has favored opening new restaurants in areas (within a 3-mile radius) that satisfy the following demographic conditions: 0 Median age between 25 and 45 years old a Household median income above national average a At least 15% collegeeducated adult population 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-onyear 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, ifa 1,200 sq. ft. restaurant recorded 82 million in sales last year. then it sold $1.667 per sq. ft. Executive management wants to know whether the current expansion criteria can be improved; evaluate the effectiveness of the loyalty card marketing strategy; and identify feasible, actionable opportunities for improvement. As a member of the analytics department, you've been assigned the responsibility of conducting a thorough statistical analysis ofthe company's available database to answer executive management's questions. Part 1: Descriptive Statistics Analysis Conduct the following descriptive statistics analyses using the W in Microsoft Excel. Answer the questions in the spreadsheet or a separate Microsoft Word document. Insert a new column in the database that corresponds to AnnualSales. AnnualSales is the result of multiplying a restaurant's SqFt by Sales/SqFt. Calculate the following: DATCB/S Competency 1 Assessment and Rubric Page 2 of 5 a mean a standard deviation - skew - 5-number summary - interquartife range (Km) for each of the variables Create a box-plot for the AnnualSales variable and answer the following questions: a Does it look symmetric? - Would you prefer the EQR instead of the standard deviation to describe this variable's dispersion? Why or why not? Create a histogram for the Sales/SqFt variabie and answer the following questions: - Is the distribution symmetric? If not, what is the skew\"? - Are there any outliers? If so, which one(s)? - What is the SqFt area of the outlier(s)? Is the outlier[s) smaller or targer than the average restaurant in the database? What can you conclude from this observation? - What measure of central tendency is more appropriate to describe Sales/SqFt? Why? Cite references to support your assignment. Part 2: Report Write a 750- to 1,000-word statistical report with the following sections: - Section 1 : Scope and Descriptive Statistics - Section 2: Analysis - Section 3: Recommendations and Implementation Section 1: Scope and Descriptive Statistics - State the report's objective. - Discuss the nature ofthe current database. What variables were analyzed? a Summarize your descriptive statistics findings from Part 'I. Use a table and insert appropriate graphs. Section 2: Analysis - Using Microsoft Excel, create scatter plots and display the regression equations for the following pairs of variabies: o BachDeg'tt: versus Sales/SqFt o Medtncome versus Safes/SqFt o MedAge versus Sales/SqFt o LoyaltyCard(%) versus SalesGrowth(%) - In your report, include the scatter plots. For each scatter plot, designate the type of relationship observed (increasing/positive, decreasingegative, or no relationship) and determine what can be conciuded from these relationships. DATCB1565 Competency 1 Assessment and Rubric Page 3 of 5 Section 3: Recommendations and Implementation Based on your findings above, assess which expansion criteria seem to be more effective. Is there any expansion criterion that couid be changed or eliminated? If so, which one and whyf? Based on your findings above, does it appear as if the loyalty card is positively correlated with sates growth? Would you recommend changing this marketing strategy? Based on your previous findings. recommend marketing positioning that targets a specific demographic. (Hint: Are younger people patronizing the restaurants more than older people?) Indicate what information should be collected to track and evaiuate the effectiveness of your recommendations. How can this data be collected? (Hint: wouId you use surveylsamples or census data?)