# Week 2 / pastas r us

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 25–45 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 (%)”
##### Assessment Deliverable

Write a 700- to 1,050-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?)

Format your references according to APA guidelines.

## ChartDataSheet_

 This worksheet contains values required for MegaStat charts. Residuals X data 3/19/2007 7:49.25 66 18 45177 34.4 31 69 16 51888 41.2 20 67 10 51379 40.3 24 70 4 66081 35.4 29 78 0 50999 31.5 18 62 28 41562 36.3 30 70 28 44196 35.1 14 84 29 50975 37.6 33 68 22 72808 34.9 28 60 42 79070 34.8 29 80 36 78497 36.2 39 64 32 41245 32.2 23 80 22 33003 30.9 22 88 78 90988 37.7 37 42 35 37950 34.3 24 68 32 45206 32.4 17 80 48 79312 32.1 37 84 32 37345 31.4 22 35 27 46226 30.4 36 84 24 70024 33.9 34 78 16 54982 35.6 26 80 39 54932 35.9 20 70 70 34097 33.6 20 76 33 46593 37.9 26 56 12 51893 40.6 21 65 32 88162 37.7 37 62 0 89016 36.4 34 66 20 114353 40.9 34 76 24 75366 35 30 92 36 48163 26.4 16 112 34 49956 37.1 28 66 15 45990 30.3 36 70 28 45723 31.3 18 60 15 43800 29.6 36 86 10 68711 32.9 18 76 0 65150 40.7 24 68 16 39329 29.3 22 64 0 63657 37.3 29 52 36 67099 39.8 25 78 26 75151 33.9 28 64 28 93876 35 40 82 32 79701 35 39 86 30 77115 35.9 30 92 16 52766 33 17 72 10 32929 30.9 22 90 24 87863 38.5 29 64 20 73752 40.5 19 80 20 85366 32.1 29 102 30 39180 34.8 18 70 26 56077 38 19 62 26 77449 37 34 68 20 56822 34.7 25 74 24 80470 36.4 30 84 14 55584 36.8 21 70 32 78001 32.2 30 96 32 75307 34.8 30 70 22 76375 36.7 28 76 32 61857 33.8 31 62 28 61312 34.2 16 92 23 72040 39 31 60 20 92414 34.9 40 54 15 92602 39.3 33 110 23 59599 35.6 28 78 0 72453 36 23 72 31 67925 41.1 16 74 29 42631 24.7 25 94 0 75652 40.5 25 80 16 39650 32.9 18 124 0 48033 30.3 15 46 20 67403 36.2 19 66 0 80597 32.4 27 63 28 60928 43.5 21 72 15 73762 41.6 29 76 24 64225 31.4 15 NormalPlot data 3/19/2007 7:49.03 -259.9497306439 -2.3669115357 -188.5900144767 -2.0061237235 -178.1863109741 -1.8007082352 -165.2888689211 -1.6514108613 -156.2930386781 -1.5318456091 -147.1995334043 -1.4308738679 -145.0204151759 -1.3426905457 -132.7962270775 -1.2638662791 -132.5838765031 -1.1921973902 -127.8657575015 -1.1261791757 -124.4916500844 -1.0647357757 -123.016384493 -1.0070695657 -118.431306853 -0.952571595 -110.8440652315 -0.9007655189 -110.1477551652 -0.8512709934 -109.3430277914 -0.8037789242 -105.1097263145 -0.7580342264 -104.7616892077 -0.7138235056 -100.1917272772 -0.6709660579 -96.9455399284 -0.6293071641 -78.5222407532 -0.588713006 -66.833182556 -0.5490667518 -63.9367962151 -0.5102654979 -54.9666697606 -0.4722178495 -49.5089341383 -0.4348419815 -43.817663257 -0.3980640685 -30.5622414309 -0.3618169976 -29.7056802184 -0.3260393031 -28.8211160258 -0.2906742745 -21.3829190469 -0.2556692022 -20.8096302471 -0.220974732 -18.0336858908 -0.1865443062 -16.4732294274 -0.152333674 -15.5268611118 -0.1183004556 -12.5832024808 -0.0844037498 -11.5991899485 -0.0506037738 -10.6416197419 -0.0168615273 -6.4663288735 0.0168615273 6.6082090726 0.0506037738 10.1026389027 0.0844037498 10.1556691582 0.1183004556 11.5424324103 0.152333674 13.4792557233 0.1865443062 15.0213966843 0.220974732 18.9663798116 0.2556692022 19.2122025279 0.2906742745 19.5938287738 0.3260393031 19.7419844304 0.3618169976 23.7470781354 0.3980640685 25.1736217387 0.4348419815 28.9194386872 0.4722178495 38.4697564504 0.5102654979 50.9831788417 0.5490667518 53.0357068283 0.588713006 61.102903906 0.6293071641 63.1204953548 0.6709660579 63.8380153718 0.7138235056 71.0833539728 0.7580342264 71.3281648375 0.8037789242 75.1828858929 0.8512709934 75.2802525469 0.9007655189 81.3206554357 0.952571595 81.6351025536 1.0070695657 105.576464442 1.0647357757 115.0253844293 1.1261791757 122.2233804168 1.1921973902 150.1178490106 1.2638662791 180.3934285167 1.3426905457 196.2671375845 1.4308738679 205.7993140008 1.5318456091 234.8563337617 1.6514108613 289.7338930992 1.8007082352 336.0904495556 2.0061237235 372.5195939607 2.3669115357 Residuals X data 3/19/2007 8:01.41 66 18 45177 34.4 31 69 16 51888 41.2 20 67 10 51379 40.3 24 70 4 66081 35.4 29 78 0 50999 31.5 18 62 28 41562 36.3 30 70 28 44196 35.1 14 84 29 50975 37.6 33 68 22 72808 34.9 28 60 42 79070 34.8 29 80 36 78497 36.2 39 64 32 41245 32.2 23 80 22 33003 30.9 22 88 78 90988 37.7 37 42 35 37950 34.3 24 68 32 45206 32.4 17 80 48 79312 32.1 37 84 32 37345 31.4 22 35 27 46226 30.4 36 84 24 70024 33.9 34 78 16 54982 35.6 26 80 39 54932 35.9 20 70 70 34097 33.6 20 76 33 46593 37.9 26 56 12 51893 40.6 21 65 32 88162 37.7 37 62 0 89016 36.4 34 66 20 114353 40.9 34 76 24 75366 35 30 92 36 48163 26.4 16 112 34 49956 37.1 28 66 15 45990 30.3 36 70 28 45723 31.3 18 60 15 43800 29.6 36 86 10 68711 32.9 18 76 0 65150 40.7 24 68 16 39329 29.3 22 64 0 63657 37.3 29 52 36 67099 39.8 25 78 26 75151 33.9 28 64 28 93876 35 40 82 32 79701 35 39 86 30 77115 35.9 30 92 16 52766 33 17 72 10 32929 30.9 22 90 24 87863 38.5 29 64 20 73752 40.5 19 80 20 85366 32.1 29 102 30 39180 34.8 18 70 26 56077 38 19 62 26 77449 37 34 68 20 56822 34.7 25 74 24 80470 36.4 30 84 14 55584 36.8 21 70 32 78001 32.2 30 96 32 75307 34.8 30 70 22 76375 36.7 28 76 32 61857 33.8 31 62 28 61312 34.2 16 92 23 72040 39 31 60 20 92414 34.9 40 54 15 92602 39.3 33 110 23 59599 35.6 28 78 0 72453 36 23 72 31 67925 41.1 16 74 29 42631 24.7 25 94 0 75652 40.5 25 80 16 39650 32.9 18 124 0 48033 30.3 15 46 20 67403 36.2 19 66 0 80597 32.4 27 63 28 60928 43.5 21 72 15 73762 41.6 29 76 24 64225 31.4 15 NormalPlot data 3/19/2007 8:01.03 -259.9497306439 -2.3669115357 -188.5900144767 -2.0061237235 -178.1863109741 -1.8007082352 -165.2888689211 -1.6514108613 -156.2930386781 -1.5318456091 -147.1995334043 -1.4308738679 -145.0204151759 -1.3426905457 -132.7962270775 -1.2638662791 -132.5838765031 -1.1921973902 -127.8657575015 -1.1261791757 -124.4916500844 -1.0647357757 -123.016384493 -1.0070695657 -118.431306853 -0.952571595 -110.8440652315 -0.9007655189 -110.1477551652 -0.8512709934 -109.3430277914 -0.8037789242 -105.1097263145 -0.7580342264 -104.7616892077 -0.7138235056 -100.1917272772 -0.6709660579 -96.9455399284 -0.6293071641 -78.5222407532 -0.588713006 -66.833182556 -0.5490667518 -63.9367962151 -0.5102654979 -54.9666697606 -0.4722178495 -49.5089341383 -0.4348419815 -43.817663257 -0.3980640685 -30.5622414309 -0.3618169976 -29.7056802184 -0.3260393031 -28.8211160258 -0.2906742745 -21.3829190469 -0.2556692022 -20.8096302471 -0.220974732 -18.0336858908 -0.1865443062 -16.4732294274 -0.152333674 -15.5268611118 -0.1183004556 -12.5832024808 -0.0844037498 -11.5991899485 -0.0506037738 -10.6416197419 -0.0168615273 -6.4663288735 0.0168615273 6.6082090726 0.0506037738 10.1026389027 0.0844037498 10.1556691582 0.1183004556 11.5424324103 0.152333674 13.4792557233 0.1865443062 15.0213966843 0.220974732 18.9663798116 0.2556692022 19.2122025279 0.2906742745 19.5938287738 0.3260393031 19.7419844304 0.3618169976 23.7470781354 0.3980640685 25.1736217387 0.4348419815 28.9194386872 0.4722178495 38.4697564504 0.5102654979 50.9831788417 0.5490667518 53.0357068283 0.588713006 61.102903906 0.6293071641 63.1204953548 0.6709660579 63.8380153718 0.7138235056 71.0833539728 0.7580342264 71.3281648375 0.8037789242 75.1828858929 0.8512709934 75.2802525469 0.9007655189 81.3206554357 0.952571595 81.6351025536 1.0070695657 105.576464442 1.0647357757 115.0253844293 1.1261791757 122.2233804168 1.1921973902 150.1178490106 1.2638662791 180.3934285167 1.3426905457 196.2671375845 1.4308738679 205.7993140008 1.5318456091 234.8563337617 1.6514108613 289.7338930992 1.8007082352 336.0904495556 2.0061237235 372.5195939607 2.3669115357

## Charts

Lower fence: Q1 – 1.5 * IQR 350.4
Upper fence: Q3 + 1.5 * IQR 1756.0
Scatterplots and regression equations
Additional (not required) graph to justify recommendations

Sales/SqFt vs. College Graduates

BachDeg%

31 20 24 29 18 30 14 33 28 29 39 23 22 37 24 17 37 22 36 34 26 20 20 26 21 37 34 34 30 16 28 36 18 36 18 24 22 29 25 28 40 39 30 17 22 29 19 29 18 19 34 25 30 21 30 30 28 31 16 31 40 33 28 23 16 25 25 18 15 19 27 21 29 15 701.97 209.93 364.92 443.04 399.2 264.64 571.59 642.25 461.45 638.82000000000005 484.38 581.09 267.70999999999998 572.84 586.48 368.73 351.47 458.24 987.12 357.45 405.77 680.8 368.02 303.95 393.9 562.12 494.88 310.07 373.46 235.81 413.08 625.22 274.3 542.62 178.56 375.33 329.09 297.37 323.17 468.84 352.57 380.34 398.12 312.14999999999998 452.16 698.64 367.19 431.93 367.06 400.53 414.36 481.11 538.05999999999995 330.48 249.93 291.87 517.4 551.58000000000004 386.81 427.5 453.94 512.46 345.27 234.04 348.33 348.47 294.95 361.14 467.71 403.78 245.74 339.94 400.82 326.54000000000002

Bach. Degrees (%)

Sales/Sq.Ft. (\$)

Sales/SqFt vs. Median Age

MedAge

34.4 41.2 40.2 99999999999997 35.4 31.5 36.299999999999997 35.1 37.6 34.9 34.799999999999997 36.200000000000003 32.200000000000003 30.9 37.700000000000003 34.299999999999997 32.4 32.1 31.4 30.4 33.9 35.6 35.9 33.6 37.9 40.6 37.700000000000003 36.4 40.9 35 26.4 37.1 30.3 31.3 29.6 32.9 40.700000000000003 29.3 37.299999999999997 39.799999999999997 33.9 35 35 35.9 33 30.9 38.5 40.5 32.1 34.799999999999997 38 37 34.700000000000003 36.4 36 .799999999999997 32.200000000000003 34.799999999999997 36.700000000000003 33.799999999999997 34.200000000000003 39 34.9 39.299999999999997 35.6 36 41.1 24.7 40.5 32.9 30.3 36.200000000000003 32.4 43.5 41.6 31.4 701.97 209.93 364.92 443.04 399.2 264.64 571.59 642.25 461.45 638.82000000000005 484.38 581.09 267.70999999999998 572.84 586.48 368.73 351.47 458.24 987.12 357.45 405.77 680.8 368.02 303.95 393.9 562.12 494.88 310.07 373.46 235.81 413.08 625.22 274.3 542.62 178.56 375.33 329.09 297.37 323.17 468.84 352.57 380.34 398.12 312.14999999999998 452.16 698.64 367.19 431.93 367.06 400.53 414.36 481.11 538.05999999999995 330.48 249.93 291.87 517.4 551.58000000000004 386.81 427.5 453.94 512.46 345.27 234.04 348.33 348.47 294.95 361.14 467.71 403.78 245.74 339.94 400.82 326.54000000000002

Median Age (Years)

Sales/Sq.Ft. (\$)

Sales/SqFt vs. Median Income

MedIncome

45177 51888 513 79 66081 50999 41562 44196 50975 72808 79070 78497 41245 33003 90988 37950 45206 79312 37345 46226 70024 54982 54932 34097 46593 51893 88162 89016 114353 75366 48163 49956 45990 45723 43800 68711 65150 39329 63657 67099 75151 93876 79701 77115 52766 32929 87863 73752 85366 39180 56077 77449 56822 80470 55584 78001 75307 76375 61857 61312 72040 92414 92602 59599 72453 67925 42631 75652 39650 48033 67403 80597 60928 73762 64225 701.97 209.93 364.92 443.04 399.2 264.64 571.59 642.25 461.45 638.82000000000005 484.38 581.09 267.70999999999998 572.84 586.48 368.73 351.47 458.24 987.12 357.45 405.77 680.8 368.02 303.95 393.9 562.12 494.88 310.07 373.46 235.81 413.08 625.22 274.3 542.62 178.56 375.33 329.09 297.37 323.17 468.84 352.57 380.34 398.12 312.14999999999998 452.16 698.64 367.19 431.93 367.06 400.53 414.36 481.11 538.05999999999995 330.48 249.93 291.87 517.4 551.58000000000004 386.81 427.5 453.94 512.46 345.27 234.04 348.33 348.47 294.95 361.14 467.71 403.78 245.74 339.94 400.82 326.54000000000002

Median Income (\$)

Sales/Sq.Ft. (\$)

Loyalty Card vs. Sales Growth

LoyaltyCard%

2.06999999 99999998 2.54 1.66 2.06 2.48 2.96 2.2799999999999998 2.34 2.2000000000000002 2.34 2.09 2.4700000000000002 2.04 2.02 2.0099999999999998 2.64 2.2200000000000002 2.0699999999999998 1.94 2.17 0.72 2 1.81 2.13 2.5 2.63 1.95 2.04 1.41 2.0499999999999998 2.13 2.08 2.73 1.95 2.04 1.62 1.95 1.64 1.78 2.23 2.15 2.83 2.37 3.07 2.19 1.28 1.76 2.5099999999999998 1.9 1.98 2.41 2.17 2.16 0.28999999999999998 1.85 1.88 2.19 2.56 2.16 2.1 1.98 0.87 1.07 3.38 1.17 2.14 0.93 2.2200000000000002 1.68 2.41 2.81 1.0900000000000001 0.64 1.77 -8.31 -4.01 -3.94 -3.39 -3.3 -1.94 -0.77 -0.37 -0.25 -0.17 0.47 0.55000000000000004 0.77 1.92 2.0499999999999998 2.12 2.84 2.88 3.96 4.04 4.05 4.05 4.24 4.58 5.09 5.14 5.48 5.86 5.9 1 5.98 6.08 6.08 6.13 6.27 6.57 6.9 6.94 7.12 7.39 7.67 7.91 8.08 8.27 8.5399999999999991 8.58 8.7200000000000006 8.75 8.7899999999999991 8.9 9.1199999999999992 9.4700000000000006 10.17 10.66 10.97 11.34 11.45 11.51 11.73 11.83 11.95 12.47 12.8 13.78 14.09 14.23 14.6 14.88 15.42 16.18 17.23 18.43 20.76 25.54 28.81

Loyalty Card (%)

Sales Growth (%)

Median Income vs. College Graduates

BachDeg%

31 20 24 29 18 30 14 33 28 29 39 23 22 37 24 17 37 22 36 34 26 20 20 26 21 37 34 34 30 16 28 36 18 36 18 24 22 29 25 28 40 39 30 17 22 29 19 29 18 19 34 25 30 21 30 30 28 31 16 31 40 33 28 23 16 25 25 18 15 19 27 21 29 15 45177 51888 51379 66081 50999 41562 44196 50975 72808 79070 78497 41245 33003 90988 37950 45206 79312 37345 46226 70024 54982 54932 34097 46593 51893 88162 89016 114353 75366 48163 49956 45990 45723 43800 68711 65150 39329 63657 67099 75151 93876 79701 77115 52766 32929 87863 73752 85366 39180 56077 77449 56822 80470 55584 78001 75307 76375 61857 61312 72040 92414 92602 59599 72453 67925 42631 75652 39650 48033 67403 80597 60928 73762 64225

Bach. Degrees (%)

Median Income (\$)

## Data

 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% AnnualSales (\$’000) 1 2354 6.81 -8.31 2.07 701.97 45177 34.4 31 1652.4 2 2604 7.57 -4.01 2.54 209.93 51888 41.2 20 546.7 3 2453 6.89 -3.94 1.66 364.92 51379 40.3 24 895.1 4 2340 7.13 -3.39 2.06 443.04 66081 35.4 29 1036.7 5 2500 7.04 -3.30 2.48 399.20 50999 31.5 18 998.0 6 2806 6.93 -1.94 2.96 264.64 41562 36.3 30 742.6 7 2250 7.11 -0.77 2.28 571.59 44196 35.1 14 1286.1 8 2400 7.13 -0.37 2.34 642.25 50975 37.6 33 1541.4 9 2709 6.58 -0.25 2.20 461.45 72808 34.9 28 1250.1 10 1990 6.77 -0.17 2.34 638.82 79070 34.8 29 1271.3 11 2392 6.66 0.47 2.09 484.38 78497 36.2 39 1158.6 12 2408 7.03 0.55 2.47 581.09 41245 32.2 23 1399.3 13 2627 7.03 0.77 2.04 267.71 33003 30.9 22 703.3 14 2500 7.00 1.92 2.02 572.84 90988 37.7 37 1432.1 15 1986 7.38 2.05 2.01 586.48 37950 34.3 24 1164.7 16 2500 7.18 2.12 2.64 368.73 45206 32.4 17 921.8 17 2668 7.35 2.84 2.22 351.47 79312 32.1 37 937.7 18 2517 6.95 2.88 2.07 458.24 37345 31.4 22 1153.4 19 1251 7.02 3.96 1.94 987.12 46226 30.4 36 1234.9 20 2998 6.85 4.04 2.17 357.45 70024 33.9 34 1071.6 21 2625 7.16 4.05 0.72 405.77 54982 35.6 26 1065.1 22 2300 6.99 4.05 2.00 680.80 54932 35.9 20 1565.8 23 2761 7.28 4.24 1.81 368.02 34097 33.6 20 1016.1 24 2764 7.07 4.58 2.13 303.95 46593 37.9 26 840.1 25 2430 7.05 5.09 2.50 393.90 51893 40.6 21 957.2 26 2154 6.54 5.14 2.63 562.12 88162 37.7 37 1210.8 27 2400 6.70 5.48 1.95 494.88 89016 36.4 34 1187.7 28 2430 6.91 5.86 2.04 310.07 114353 40.9 34 753.5 29 2549 7.58 5.91 1.41 373.46 75366 35.0 30 951.9 30 2500 7.03 5.98 2.05 235.81 48163 26.4 16 589.5 31 3653 6.84 6.08 2.13 413.08 49956 37.1 28 1509.0 32 2440 6.94 6.08 2.08 625.22 45990 30.3 36 1525.5 33 2600 7.07 6.13 2.73 274.30 45723 31.3 18 713.2 34 2160 7.00 6.27 1.95 542.62 43800 29.6 36 1172.1 35 2800 7.08 6.57 2.04 178.56 68711 32.9 18 500.0 36 2757 6.75 6.90 1.62 375.33 65150 40.7 24 1034.8 37 2450 6.81 6.94 1.95 329.09 39329 29.3 22 806.3 38 2400 7.64 7.12 1.64 297.37 63657 37.3 29 713.7 39 2270 6.62 7.39 1.78 323.17 67099 39.8 25 733.6 40 2800 6.76 7.67 2.23 468.84 75151 33.9 28 1312.8 41 2520 7.11 7.91 2.15 352.57 93876 35.0 40 888.5 42 2487 7.05 8.08 2.83 380.34 79701 35.0 39 945.9 43 2629 6.90 8.27 2.37 398.12 77115 35.9 30 1046.7 44 3200 7.17 8.54 3.07 312.15 52766 33.0 17 998.9 45 2335 6.75 8.58 2.19 452.16 32929 30.9 22 1055.8 46 2500 7.45 8.72 1.28 698.64 87863 38.5 29 1746.6 47 2449 7.00 8.75 1.76 367.19 73752 40.5 19 899.2 48 2625 6.96 8.79 2.51 431.93 85366 32.1 29 1133.8 49 3150 7.30 8.90 1.90 367.06 39180 34.8 18 1156.2 50 2625 6.96 9.12 1.98 400.53 56077 38.0 19 1051.4 51 2741 6.71 9.47 2.41 414.36 77449 37.0 34 1135.8 52 2500 6.82 10.17 2.17 481.11 56822 34.7 25 1202.8 53 2450 6.58 10.66 2.16 538.06 80470 36.4 30 1318.2 54 2986 7.56 10.97 0.29 330.48 55584 36.8 21 986.8 55 2967 6.98 11.34 1.85 249.93 78001 32.2 30 741.5 56 3000 7.28 11.45 1.88 291.87 75307 34.8 30 875.6 57 2500 6.76 11.51 2.19 517.40 76375 36.7 28 1293.5 58 2600 6.92 11.73 2.56 551.58 61857 33.8 31 1434.1 59 2800 6.73 11.83 2.16 386.81 61312 34.2 16 1083.1 60 2986 6.91 11.95 2.10 427.50 72040 39.0 31 1276.5 61 2223 6.77 12.47 1.98 453.94 92414 34.9 40 1009.1 62 2300 7.33 12.80 0.87 512.46 92602 39.3 33 1178.7 63 3799 7.87 13.78 1.07 345.27 59599 35.6 28 1311.7 64 2700 6.95 14.09 3.38 234.04 72453 36.0 23 631.9 65 2650 7.33 14.23 1.17 348.33 67925 41.1 16 923.1 66 2500 6.95 14.60 2.14 348.47 42631 24.7 25 871.2 67 2994 7.21 14.88 0.93 294.95 75652 40.5 25 883.1 68 2718 7.25 15.42 2.22 361.14 39650 32.9 18 981.6 69 3700 7.65 16.18 1.68 467.71 48033 30.3 15 1730.5 70 2000 6.93 17.23 2.41 403.78 67403 36.2 19 807.6 71 2400 6.79 18.43 2.81 245.74 80597 32.4 27 589.8 72 2450 7.37 20.76 1.09 339.94 60928 43.5 21 832.9 73 2575 6.76 25.54 0.64 400.82 73762 41.6 29 1032.1 74 2400 7.97 28.81 1.77 326.54 64225 31.4 15 783.7 Descriptive Statistics Min 1251.0 6.5 -8.3 0.3 178.6 32929.0 24.7 14.0 500.0 Q1 2400.0 6.8 4.0 1.9 332.8 46953.0 32.5 20.3 877.5 Median 2500.0 7.0 7.0 2.1 396.0 62757.0 35.0 26.5 1035.7 Mean 2580.5 7.0 7.4 2.0 420.3 62807.7 35.2 26.3 1059.4 Q3 2735.3 7.2 11.4 2.3 483.6 76194.3 37.5 30.8 1228.9 Max 3799.0 8.0 28.8 3.4 987.1 114353.0 43.5 40.0 1746.6 Std. Dev. 372.4 0.3 6.6 0.5 136.3 17782.9 3.6 7.0 278.5 IQR 335.3 0.4 7.4 0.5 150.7 29241.3 5.0 10.5 351.4 Skew 0.5 0.9 0.5 -0.8 1.2 0.3 -0.2 0.1 0.4

Noodles Database – Page &P of &N Printed &D Doane/Seward