Scenario: Pastas R Us, Inc. is a fast-casual restaurant chain specializing in noodle-based 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:Median age between 25 - 45 years oldHousehold median income above national averageAt least 15% college educated adult populationLast 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 1200 sq. ft. restaurant recorded $2 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. They want to 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 of the company's available database to answer executive management's questions.Section 2 - Analysis Using Excel, create scatter plots and display the regression equations for the following pairs of variables:"BachDeg%" versus "Sales/SqFt""MedIncome" versus "Sales/SqFt""MedAge" versus "Sales/SqFt""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 you can conclude from these relationships.

Per Person Over Loyalty Card Median HH Bache Average Previous of Net Annual Sales Income (3 Median Age Degre are Feet Spending Year () Sales Per Sq Ft Miles) (3 Miles) Miles Soft Sales/Perso|SalesGrowtoyaltyCard Sales/SqFt| Medincome MedAge Bachb h 2354 6.81 8.31 2.07 701.97 45177 34.4 31 2604 7.57 4.01 2.54 209.93 51888 41.2 20 2453 6.89 3.94 1.66 364.92 51379 40.3 24 2340 7.13 3.39 2.06 443.04 66081 35.4 29 2500 7.04 -3.30 2.48 399.20 50999 31.5 18 2806 6.93 -1.94 2.96 264.64 41562 36.3 30 2250 7.11 -0.77 2.28 571.59 44196 35.1 14 2400 7.13 -0.37 2.34 642.25 50975 37.6 33 2709 6.58 -0.25 2.20 461.45 72808 34.9 28 1990 6.77 -0.17 2.34 638.82 79070 34.8 29 2392 6.66 0.47 2.09 484.38 78497 36.2 39 2408 7.03 0.55 2.47 581 09 41245 32.2 23 2627 7.03 0.77 2.04 267.71 33003 30.9 22 2500 7.00 1.92 2.02 572.84 90988 37.7 3 1986 7.38 2.05 2.01 586.48 37950 34.3 24 2500 7.18 2.12 2.64 368.73 45206 32.4 2668 7.35 2.84 2.22 351.47 79312 32.1 37 Sheet1 eady Average: 35.20135135 Count: 76 Sum: 2604.9