Question: I am needing help with the graphs and what information/data am I pulling from my calculations to input into the graphs. Any help on that

I am needing help with the graphs and what information/data am I pulling from my calculations to input into the graphs. Any help on that portion would be great . Thank you.

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 and 45 years old Household median income above national average At least 15% college-educated 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-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. 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 of the company's available database to answer executive management's questions. Part 1: Descriptive Statistics Analysis Conduct the following descriptive statistics analyses using the Pastas R Us, Inc. data set 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: mean standard deviation skew 5-number summary interquartile range (IQR) for each of the variables Insert a box-plot for the AnnualSales variable and answer the following questions: Does it look symmetric? Would you prefer the IQR instead of the standard deviation to describe this variable's dispersion? Why or why not? Insert a histogram for the Sales/SqFt variable 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 larger 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

Pastas R Us, Inc. Database (n = 74 restaurants)
Square Feet Per Person Average Spending Sales Growth Over Previous Year (%) Loyalty Card % of Net Sales Annual Sales Per Sq Ft Median HH Income (3 Miles) Median Age (3 Miles) % w/ Bachelor's Degree (3 Miles)
Obs SqFt Sales/Person SalesGrowth% LoyaltyCard% Sales/SqFt MedIncome MedAge BachDeg%
1 2354 6.81 -8.31 2.07 701.97 45177 34.4 31
2 2604 7.57 -4.01 2.54 209.93 51888 41.2 20
3 2453 6.89 -3.94 1.66 364.92 51379 40.3 24
4 2340 7.13 -3.39 2.06 443.04 66081 35.4 29
5 2500 7.04 -3.30 2.48 399.20 50999 31.5 18
6 2806 6.93 -1.94 2.96 264.64 41562 36.3 30
7 2250 7.11 -0.77 2.28 571.59 44196 35.1 14
8 2400 7.13 -0.37 2.34 642.25 50975 37.6 33
9 2709 6.58 -0.25 2.20 461.45 72808 34.9 28
10 1990 6.77 -0.17 2.34 638.82 79070 34.8 29
11 2392 6.66 0.47 2.09 484.38 78497 36.2 39
12 2408 7.03 0.55 2.47 581.09 41245 32.2 23
13 2627 7.03 0.77 2.04 267.71 33003 30.9 22
14 2500 7.00 1.92 2.02 572.84 90988 37.7 37
15 1986 7.38 2.05 2.01 586.48 37950 34.3 24
16 2500 7.18 2.12 2.64 368.73 45206 32.4 17
17 2668 7.35 2.84 2.22 351.47 79312 32.1 37
18 2517 6.95 2.88 2.07 458.24 37345 31.4 22
19 1251 7.02 3.96 1.94 987.12 46226 30.4 36
20 2998 6.85 4.04 2.17 357.45 70024 33.9 34
21 2625 7.16 4.05 0.72 405.77 54982 35.6 26
22 2300 6.99 4.05 2.00 680.80 54932 35.9 20
23 2761 7.28 4.24 1.81 368.02 34097 33.6 20
24 2764 7.07 4.58 2.13 303.95 46593 37.9 26
25 2430 7.05 5.09 2.50 393.90 51893 40.6 21
26 2154 6.54 5.14 2.63 562.12 88162 37.7 37
27 2400 6.70 5.48 1.95 494.88 89016 36.4 34
28 2430 6.91 5.86 2.04 310.07 114353 40.9 34
29 2549 7.58 5.91 1.41 373.46 75366 35.0 30
30 2500 7.03 5.98 2.05 235.81 48163 26.4 16
31 3653 6.84 6.08 2.13 413.08 49956 37.1 28
32 2440 6.94 6.08 2.08 625.22 45990 30.3 36
33 2600 7.07 6.13 2.73 274.30 45723 31.3 18
34 2160 7.00 6.27 1.95 542.62 43800 29.6 36
35 2800 7.08 6.57 2.04 178.56 68711 32.9 18
36 2757 6.75 6.90 1.62 375.33 65150 40.7 24
37 2450 6.81 6.94 1.95 329.09 39329 29.3 22
38 2400 7.64 7.12 1.64 297.37 63657 37.3 29
39 2270 6.62 7.39 1.78 323.17 67099 39.8 25
40 2800 6.76 7.67 2.23 468.84 75151 33.9 28
41 2520 7.11 7.91 2.15 352.57 93876 35.0 40
42 2487 7.05 8.08 2.83 380.34 79701 35.0 39
43 2629 6.90 8.27 2.37 398.12 77115 35.9 30
44 3200 7.17 8.54 3.07 312.15 52766 33.0 17
45 2335 6.75 8.58 2.19 452.16 32929 30.9 22
46 2500 7.45 8.72 1.28 698.64 87863 38.5 29
47 2449 7.00 8.75 1.76 367.19 73752 40.5 19
48 2625 6.96 8.79 2.51 431.93 85366 32.1 29
49 3150 7.30 8.90 1.90 367.06 39180 34.8 18
50 2625 6.96 9.12 1.98 400.53 56077 38.0 19
51 2741 6.71 9.47 2.41 414.36 77449 37.0 34
52 2500 6.82 10.17 2.17 481.11 56822 34.7 25
53 2450 6.58 10.66 2.16 538.06 80470 36.4 30
54 2986 7.56 10.97 0.29 330.48 55584 36.8 21
55 2967 6.98 11.34 1.85 249.93 78001 32.2 30
56 3000 7.28 11.45 1.88 291.87 75307 34.8 30
57 2500 6.76 11.51 2.19 517.40 76375 36.7 28
58 2600 6.92 11.73 2.56 551.58 61857 33.8 31
59 2800 6.73 11.83 2.16 386.81 61312 34.2 16
60 2986 6.91 11.95 2.10 427.50 72040 39.0 31
61 2223 6.77 12.47 1.98 453.94 92414 34.9 40
62 2300 7.33 12.80 0.87 512.46 92602 39.3 33
63 3799 7.87 13.78 1.07 345.27 59599 35.6 28
64 2700 6.95 14.09 3.38 234.04 72453 36.0 23
65 2650 7.33 14.23 1.17 348.33 67925 41.1 16
66 2500 6.95 14.60 2.14 348.47 42631 24.7 25
67 2994 7.21 14.88 0.93 294.95 75652 40.5 25
68 2718 7.25 15.42 2.22 361.14 39650 32.9 18
69 3700 7.65 16.18 1.68 467.71 48033 30.3 15
70 2000 6.93 17.23 2.41 403.78 67403 36.2 19
71 2400 6.79 18.43 2.81 245.74 80597 32.4 27
72 2450 7.37 20.76 1.09 339.94 60928 43.5 21
73 2575 6.76 25.54 0.64 400.82 73762 41.6 29
74 2400 7.97 28.81 1.77 326.54 64225 31.4 15

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