Case Study: CardioGood Fitness

Econ 216

Background:

CardioGood Fitness is a developer of cardiovascular exercise equipment. Its product line includes these treadmill models and prices:

· TM195: $1500

· TM498: $1750

· TM798: $2500

CardioGood Fitness has a goal to increase sales of treadmills. They have hired your company as advertising consultants to identify the target markets that are most likely to buy more treadmills. Once these markets are identified targeted advertising will be used to generate product interest and increase consumer preference for CardioGood Fitness treadmills over other brands.

The TM195 is an entry-level treadmill. It has the least number of programs and features between the models. It is most suitable for customers who prefer less programming and more simplicity in their treadmill.

The TM498 shares the same structural housing as the TM195 but offers two built-in training programs and up to 15% elevation grade.

The TM798 is structurally larger and heavier than the other models. The model features an LCD backlit console, quick speed and incline keys, wireless heart rate monitor, remote speed control, and a graphical human anatomical figure to measure your gait and identify your minimally and maximally used muscles. This model features a non-folding platform, designed to handle frequent, rigorous usage. This helps to distinguish it from other models.

Goal:

To identify any customer profiles that may exist for a particular product. This information will be used to match customers with advertisements. This strategy is meant to optimize advertising costs across products. Think about it in terms of what relationships exist within consumers and products, and how might the features of the products be exploited in a way to increase sales.

Data:

Product Purchased, Gender, Age, Years of Education, Relationship Status, Annual HH Income, Average expected product weekly usage count, Average number of miles expected to walk weekly, Self-score fitness scale 1=least fit, 5=most fit.

1. Which variables are categorical?

2. Which variables are numerical?

3. Which variables are discrete?

1. Begin creating a customer profile for each product line by developing a descriptive statistics table per profile. Use mode value (if any) to calculate Z-scores.

Descriptive Statistics, TM195

Descriptors

Age

Gender

Education, Years

Marital Status

Income

Expected Usage Count

Expected Miles

Fit Scores

Mean

Median

Mode

Range

Variance

Standard Deviation

Coefficient of Variation

Z-Score

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Skewness Shape

Apex Shape

Descriptive Statistics, TM498

Descriptors

Age

Gender

Education, Years

Marital Status

Income

Expected Usage Count

Expected Miles

Fit Scores

Mean

Median

Mode

Range

Variance

Standard Deviation

Coefficient of Variation

Z-Score

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Skewness Shape

Apex Shape

Descriptive Statistics, TM798

Descriptors

Age

Gender

Education, Years

Marital Status

Income

Expected Usage Count

Expected Miles

Fit Scores

Mean

Median

Mode

Range

Variance

Standard Deviation

Coefficient of Variation

Z-Score

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Z-Score

Outlier, Yes (1,0)

Skewness Shape

Apex Shape

What can you interpret about each product line’s average customer?

Visualize:

Construct scatter plots visualizing the relationships discovered through your descriptive statistics table. Compute correlation coefficients to further provide evidence of relationships: education versus income, age versus education, expected miles versus usage

Construct any bar charts, line graphs, or polygons that support your views. Which ones help to develop your viewpoint the best. Remember the purpose is to define a market to create a targeted advertising scheme for.

(This is part of Problems Set #2) Construct two-way contingency tables of gender, education, relationship status, and self-fit reporting.

Compute all conditional and marginal probabilities from the tables developed.

Which types of customers have the highest probability of purchases across products?

Does this match with descriptive statistics from your original profiles?

Report:

Write a report to be presented to the management team of CardioGoodFitness detailing your findings of customer profiles/product. What types of profiles should be targeted to optimally advertise?

1

CardioGoodFitnesstxt (2)

Product Price Age Gender Years of Education Marital Status Planned Usage Self Rated Fitness Income Expected Miles
TM195 1500 18 Male 14 Single 3 4 29562 112
TM195 1500 19 Male 15 Single 2 3 31836 75
TM195 1500 19 Female 14 Partnered 4 3 30699 66
TM195 1500 19 Male 12 Single 3 3 32973 85
TM195 1500 20 Male 13 Partnered 4 2 35247 47
TM195 1500 20 Female 14 Partnered 3 3 32973 66
TM195 1500 21 Female 14 Partnered 3 3 35247 75
TM195 1500 21 Male 13 Single 3 3 32973 85
TM195 1500 21 Male 15 Single 5 4 35247 141
TM195 1500 21 Female 15 Partnered 2 3 37521 85
TM195 1500 22 Male 14 Single 3 3 36384 85
TM195 1500 22 Female 14 Partnered 3 2 35247 66
TM195 1500 22 Female 16 Single 4 3 36384 75
TM195 1500 22 Female 14 Single 3 3 35247 75
TM195 1500 23 Male 16 Partnered 3 1 38658 47
TM195 1500 23 Male 16 Partnered 3 3 40932 75
TM195 1500 23 Female 14 Single 2 3 34110 103
TM195 1500 23 Male 16 Partnered 4 3 39795 94
TM195 1500 23 Female 16 Single 4 3 38658 113
TM195 1500 23 Female 15 Partnered 2 2 34110 38
TM195 1500 23 Male 14 Single 4 3 38658 113
TM195 1500 23 Male 16 Single 4 3 40932 94
TM195 1500 24 Female 16 Single 4 3 42069 94
TM195 1500 24 Female 16 Partnered 5 5 44343 188
TM195 1500 24 Male 14 Single 2 3 45480 113
TM195 1500 24 Male 13 Partnered 3 2 42069 47
TM195 1500 24 Female 16 Single 4 3 46617 75
TM195 1500 25 Female 14 Partnered 3 3 48891 75
TM195 1500 25 Male 14 Partnered 2 3 45480 56
TM195 1500 25 Female 14 Partnered 2 2 53439 47
TM195 1500 25 Female 14 Partnered 3 3 39795 85
TM195 1500 25 Male 16 Single 3 4 40932 113
TM195 1500 25 Female 16 Partnered 2 2 40932 47
TM195 1500 25 Male 16 Single 3 3 43206 85
TM195 1500 26 Female 14 Partnered 3 4 44343 113
TM195 1500 26 Female 16 Partnered 4 3 52302 113
TM195 1500 26 Male 16 Partnered 2 2 53439 47
TM195 1500 26 Male 16 Partnered 3 3 51165 85
TM195 1500 26 Female 16 Single 3 3 36384 66
TM195 1500 26 Male 16 Partnered 4 4 44343 132
TM195 1500 26 Male 16 Single 3 3 50028 85
TM195 1500 27 Female 14 Partnered 3 2 45480 66
TM195 1500 27 Male 16 Single 4 3 54576 85
TM195 1500 27 Female 14 Partnered 2 3 45480 56
TM195 1500 28 Female 14 Partnered 2 3 46617 56
TM195 1500 28 Female 16 Partnered 2 3 52302 66
TM195 1500 28 Male 14 Single 3 3 52302 103
TM195 1500 28 Female 14 Partnered 3 3 54576 94
TM195 1500 28 Male 14 Single 4 3 54576 113
TM195 1500 28 Female 16 Partnered 3 3 51165 56
TM195 1500 29 Male 18 Partnered 3 3 68220 85
TM195 1500 29 Female 14 Partnered 2 2 46617 38
TM195 1500 29 Female 16 Partnered 4 3 50028 94
TM195 1500 30 Male 14 Partnered 4 4 46617 141
TM195 1500 30 Male 14 Single 3 3 54576 85
TM195 1500 31 Male 14 Partnered 2 2 54576 47
TM195 1500 31 Female 14 Single 2 2 45480 47
TM195 1500 32 Female 14 Single 3 4 46617 113
TM195 1500 32 Male 14 Partnered 4 3 52302 85
TM195 1500 33 Female 16 Single 2 2 55713 38
TM195 1500 33 Female 16 Partnered 3 3 46617 85
TM195 1500 34 Male 16 Single 4 5 51165 169
TM195 1500 34 Female 16 Single 2 2 52302 66
TM195 1500 35 Male 16 Partnered 4 3 48891 85
TM195 1500 35 Female 16 Partnered 3 3 60261 94
TM195 1500 35 Female 18 Single 3 3 67083 85
TM195 1500 36 Male 12 Single 4 3 44343 94
TM195 1500 37 Female 16 Partnered 3 3 37521 85
TM195 1500 38 Male 16 Partnered 3 3 46617 75
TM195 1500 38 Female 14 Partnered 2 3 54576 56
TM195 1500 38 Male 14 Single 2 3 52302 56
TM195 1500 38 Male 16 Partnered 3 3 56850 75
TM195 1500 39 Male 16 Partnered 4 4 59124 132
TM195 1500 40 Male 16 Partnered 3 3 61398 66
TM195 1500 41 Male 16 Partnered 4 3 54576 103
TM195 1500 43 Male 16 Partnered 3 3 53439 66
TM195 1500 44 Female 16 Single 3 4 57987 75
TM195 1500 46 Female 16 Partnered 3 2 60261 47
TM195 1500 47 Male 16 Partnered 4 3 56850 94
TM195 1500 50 Female 16 Partnered 3 3 64809 66
TM498 1750 19 Male 14 Single 3 3 31836 64
TM498 1750 20 Male 14 Single 2 3 32973 53
TM498 1750 20 Female 14 Partnered 3 3 34110 106
TM498 1750 20 Male 14 Single 3 3 38658 95
TM498 1750 21 Female 14 Partnered 5 4 34110 212
TM498 1750 21 Male 16 Partnered 2 2 34110 42
TM498 1750 21 Male 12 Partnered 2 2 32973 53
TM498 1750 23 Male 14 Partnered 3 3 36384 95
TM498 1750 23 Male 14 Partnered 3 3 38658 85
TM498 1750 23 Female 16 Single 3 3 45480 95
TM498 1750 23 Male 16 Partnered 4 3 45480 127
TM498 1750 23 Female 16 Partnered 3 2 43206 74
TM498 1750 23 Female 14 Single 3 2 40932 53
TM498 1750 23 Male 16 Partnered 3 3 45480 64
TM498 1750 24 Female 14 Single 3 2 40932 85
TM498 1750 24 Male 14 Single 3 4 48891 106
TM498 1750 24 Female 16 Single 3 3 50028 106
TM498 1750 25 Female 14 Partnered 2 3 45480 85
TM498 1750 25 Female 14 Single 3 4 43206 127
TM498 1750 25 Male 16 Partnered 2 2 52302 42
TM498 1750 25 Female 14 Partnered 5 3 47754 106
TM498 1750 25 Male 14 Single 3 3 45480 95
TM498 1750 25 Female 14 Single 2 3 43206 64
TM498 1750 25 Male 14 Partnered 4 3 45480 170
TM498 1750 25 Male 14 Partnered 3 4 43206 106
TM498 1750 25 Male 16 Partnered 2 3 50028 53
TM498 1750 25 Female 14 Single 2 2 45480 42
TM498 1750 25 Male 14 Single 4 3 48891 127
TM498 1750 26 Female 16 Partnered 4 3 45480 85
TM498 1750 26 Female 16 Single 4 4 50028 127
TM498 1750 26 Male 16 Single 4 3 51165 106
TM498 1750 27 Male 14 Single 4 2 45480 53
TM498 1750 29 Female 14 Partnered 3 3 51165 95
TM498 1750 30 Female 14 Single 3 3 57987 74
TM498 1750 30 Female 13 Single 4 3 46617 106
TM498 1750 31 Male 16 Partnered 3 3 52302 95
TM498 1750 31 Female 16 Partnered 2 3 51165 64
TM498 1750 31 Female 18 Single 2 1 65220 21
TM498 1750 32 Male 16 Single 4 3 60261 127
TM498 1750 32 Male 16 Partnered 3 3 53439 95
TM498 1750 33 Male 13 Partnered 4 4 53439 170
TM498 1750 33 Female 16 Partnered 2 3 50028 85
TM498 1750 33 Male 16 Partnered 3 3 51165 95
TM498 1750 33 Female 16 Partnered 5 3 53439 95
TM498 1750 33 Female 18 Single 3 4 47754 74
TM498 1750 34 Female 16 Partnered 4 3 64809 95
TM498 1750 34 Male 16 Partnered 3 4 59124 85
TM498 1750 34 Male 15 Single 3 3 67083 85
TM498 1750 35 Female 14 Partnered 3 2 52302 53
TM498 1750 35 Male 16 Partnered 3 2 53439 53
TM498 1750 35 Female 16 Single 3 2 50028 64
TM498 1750 35 Male 16 Partnered 3 3 53439 95
TM498 1750 37 Female 16 Partnered 2 3 48891 85
TM498 1750 38 Female 16 Partnered 4 3 62535 85
TM498 1750 38 Male 16 Partnered 3 3 59124 106
TM498 1750 40 Female 16 Partnered 3 3 61398 85
TM498 1750 40 Female 16 Single 3 3 57987 85
TM498 1750 40 Male 16 Partnered 3 3 64809 95
TM498 1750 45 Male 16 Partnered 2 2 54576 42
TM498 1750 48 Male 16 Partnered 2 3 57987 64
TM798 2500 22 Male 14 Single 4 3 48658 106
TM798 2500 22 Male 16 Single 3 5 54781 120
TM798 2500 22 Male 18 Single 4 5 48556 200
TM798 2500 23 Male 16 Single 4 5 58516 140
TM798 2500 23 Female 18 Single 5 4 53536 100
TM798 2500 23 Male 16 Single 4 5 48556 100
TM798 2500 24 Male 16 Single 4 5 61006 100
TM798 2500 24 Male 18 Partnered 4 5 57271 80
TM798 2500 24 Female 16 Single 5 5 52291 200
TM798 2500 24 Male 16 Single 5 5 49801 160
TM798 2500 25 Male 16 Partnered 4 5 49801 120
TM798 2500 25 Male 16 Partnered 4 4 62251 160
TM798 2500 25 Female 18 Partnered 5 5 61006 200
TM798 2500 25 Male 18 Partnered 4 3 64741 100
TM798 2500 25 Male 18 Partnered 6 4 70966 180
TM798 2500 25 Male 18 Partnered 6 5 75946 240
TM798 2500 25 Male 20 Partnered 4 5 74701 170
TM798 2500 26 Female 21 Single 4 3 69721 100
TM798 2500 26 Male 16 Partnered 5 4 64741 180
TM798 2500 27 Male 16 Partnered 4 5 83416 160
TM798 2500 27 Male 18 Single 4 3 88396 100
TM798 2500 27 Male 21 Partnered 4 4 90886 100
TM798 2500 28 Female 18 Partnered 6 5 92131 180
TM798 2500 28 Male 18 Partnered 7 5 77191 180
TM798 2500 28 Male 18 Single 6 5 88396 150
TM798 2500 29 Male 18 Single 5 5 52290 180
TM798 2500 29 Male 14 Partnered 7 5 85906 300
TM798 2500 30 Female 16 Partnered 6 5 90886 280
TM798 2500 30 Male 18 Partnered 5 4 103336 160
TM798 2500 30 Male 18 Partnered 5 5 99601 150
TM798 2500 31 Male 16 Partnered 6 5 89641 260
TM798 2500 33 Female 18 Partnered 4 5 95866 200
TM798 2500 34 Male 16 Single 5 5 92131 150
TM798 2500 35 Male 16 Partnered 4 5 92131 360
TM798 2500 38 Male 18 Partnered 5 5 104581 150
TM798 2500 40 Male 21 Single 6 5 83416 200
TM798 2500 42 Male 18 Single 5 4 89641 200
TM798 2500 45 Male 16 Single 5 5 90886 160
TM798 2500 47 Male 18 Partnered 4 5 104581 120
TM798 2500 48 Male 18 Partnered 4 5 95508 180

CardioGoodFitnesstxt

Product Age Gender Years of Education Marital Status Planned Usage Self Rated Fitness Income Expected Miles
TM195 18 Male 14 Single 3 4 29562 112
TM195 19 Male 15 Single 2 3 31836 75
TM195 19 Female 14 Partnered 4 3 30699 66
TM195 19 Male 12 Single 3 3 32973 85
TM195 20 Male 13 Partnered 4 2 35247 47
TM195 20 Female 14 Partnered 3 3 32973 66
TM195 21 Female 14 Partnered 3 3 35247 75
TM195 21 Male 13 Single 3 3 32973 85
TM195 21 Male 15 Single 5 4 35247 141
TM195 21 Female 15 Partnered 2 3 37521 85
TM195 22 Male 14 Single 3 3 36384 85
TM195 22 Female 14 Partnered 3 2 35247 66
TM195 22 Female 16 Single 4 3 36384 75
TM195 22 Female 14 Single 3 3 35247 75
TM195 23 Male 16 Partnered 3 1 38658 47
TM195 23 Male 16 Partnered 3 3 40932 75
TM195 23 Female 14 Single 2 3 34110 103
TM195 23 Male 16 Partnered 4 3 39795 94
TM195 23 Female 16 Single 4 3 38658 113
TM195 23 Female 15 Partnered 2 2 34110 38
TM195 23 Male 14 Single 4 3 38658 113
TM195 23 Male 16 Single 4 3 40932 94
TM195 24 Female 16 Single 4 3 42069 94
TM195 24 Female 16 Partnered 5 5 44343 188
TM195 24 Male 14 Single 2 3 45480 113
TM195 24 Male 13 Partnered 3 2 42069 47
TM195 24 Female 16 Single 4 3 46617 75
TM195 25 Female 14 Partnered 3 3 48891 75
TM195 25 Male 14 Partnered 2 3 45480 56
TM195 25 Female 14 Partnered 2 2 53439 47
TM195 25 Female 14 Partnered 3 3 39795 85
TM195 25 Male 16 Single 3 4 40932 113
TM195 25 Female 16 Partnered 2 2 40932 47
TM195 25 Male 16 Single 3 3 43206 85
TM195 26 Female 14 Partnered 3 4 44343 113
TM195 26 Female 16 Partnered 4 3 52302 113
TM195 26 Male 16 Partnered 2 2 53439 47
TM195 26 Male 16 Partnered 3 3 51165 85
TM195 26 Female 16 Single 3 3 36384 66
TM195 26 Male 16 Partnered 4 4 44343 132
TM195 26 Male 16 Single 3 3 50028 85
TM195 27 Female 14 Partnered 3 2 45480 66
TM195 27 Male 16 Single 4 3 54576 85
TM195 27 Female 14 Partnered 2 3 45480 56
TM195 28 Female 14 Partnered 2 3 46617 56
TM195 28 Female 16 Partnered 2 3 52302 66
TM195 28 Male 14 Single 3 3 52302 103
TM195 28 Female 14 Partnered 3 3 54576 94
TM195 28 Male 14 Single 4 3 54576 113
TM195 28 Female 16 Partnered 3 3 51165 56
TM195 29 Male 18 Partnered 3 3 68220 85
TM195 29 Female 14 Partnered 2 2 46617 38
TM195 29 Female 16 Partnered 4 3 50028 94
TM195 30 Male 14 Partnered 4 4 46617 141
TM195 30 Male 14 Single 3 3 54576 85
TM195 31 Male 14 Partnered 2 2 54576 47
TM195 31 Female 14 Single 2 2 45480 47
TM195 32 Female 14 Single 3 4 46617 113
TM195 32 Male 14 Partnered 4 3 52302 85
TM195 33 Female 16 Single 2 2 55713 38
TM195 33 Female 16 Partnered 3 3 46617 85
TM195 34 Male 16 Single 4 5 51165 169
TM195 34 Female 16 Single 2 2 52302 66
TM195 35 Male 16 Partnered 4 3 48891 85
TM195 35 Female 16 Partnered 3 3 60261 94
TM195 35 Female 18 Single 3 3 67083 85
TM195 36 Male 12 Single 4 3 44343 94
TM195 37 Female 16 Partnered 3 3 37521 85
TM195 38 Male 16 Partnered 3 3 46617 75
TM195 38 Female 14 Partnered 2 3 54576 56
TM195 38 Male 14 Single 2 3 52302 56
TM195 38 Male 16 Partnered 3 3 56850 75
TM195 39 Male 16 Partnered 4 4 59124 132
TM195 40 Male 16 Partnered 3 3 61398 66
TM195 41 Male 16 Partnered 4 3 54576 103
TM195 43 Male 16 Partnered 3 3 53439 66
TM195 44 Female 16 Single 3 4 57987 75
TM195 46 Female 16 Partnered 3 2 60261 47
TM195 47 Male 16 Partnered 4 3 56850 94
TM195 50 Female 16 Partnered 3 3 64809 66
TM498 19 Male 14 Single 3 3 31836 64
TM498 20 Male 14 Single 2 3 32973 53
TM498 20 Female 14 Partnered 3 3 34110 106
TM498 20 Male 14 Single 3 3 38658 95
TM498 21 Female 14 Partnered 5 4 34110 212
TM498 21 Male 16 Partnered 2 2 34110 42
TM498 21 Male 12 Partnered 2 2 32973 53
TM498 23 Male 14 Partnered 3 3 36384 95
TM498 23 Male 14 Partnered 3 3 38658 85
TM498 23 Female 16 Single 3 3 45480 95
TM498 23 Male 16 Partnered 4 3 45480 127
TM498 23 Female 16 Partnered 3 2 43206 74
TM498 23 Female 14 Single 3 2 40932 53
TM498 23 Male 16 Partnered 3 3 45480 64
TM498 24 Female 14 Single 3 2 40932 85
TM498 24 Male 14 Single 3 4 48891 106
TM498 24 Female 16 Single 3 3 50028 106
TM498 25 Female 14 Partnered 2 3 45480 85
TM498 25 Female 14 Single 3 4 43206 127
TM498 25 Male 16 Partnered 2 2 52302 42
TM498 25 Female 14 Partnered 5 3 47754 106
TM498 25 Male 14 Single 3 3 45480 95
TM498 25 Female 14 Single 2 3 43206 64
TM498 25 Male 14 Partnered 4 3 45480 170
TM498 25 Male 14 Partnered 3 4 43206 106
TM498 25 Male 16 Partnered 2 3 50028 53
TM498 25 Female 14 Single 2 2 45480 42
TM498 25 Male 14 Single 4 3 48891 127
TM498 26 Female 16 Partnered 4 3 45480 85
TM498 26 Female 16 Single 4 4 50028 127
TM498 26 Male 16 Single 4 3 51165 106
TM498 27 Male 14 Single 4 2 45480 53
TM498 29 Female 14 Partnered 3 3 51165 95
TM498 30 Female 14 Single 3 3 57987 74
TM498 30 Female 13 Single 4 3 46617 106
TM498 31 Male 16 Partnered 3 3 52302 95
TM498 31 Female 16 Partnered 2 3 51165 64
TM498 31 Female 18 Single 2 1 65220 21
TM498 32 Male 16 Single 4 3 60261 127
TM498 32 Male 16 Partnered 3 3 53439 95
TM498 33 Male 13 Partnered 4 4 53439 170
TM498 33 Female 16 Partnered 2 3 50028 85
TM498 33 Male 16 Partnered 3 3 51165 95
TM498 33 Female 16 Partnered 5 3 53439 95
TM498 33 Female 18 Single 3 4 47754 74
TM498 34 Female 16 Partnered 4 3 64809 95
TM498 34 Male 16 Partnered 3 4 59124 85
TM498 34 Male 15 Single 3 3 67083 85
TM498 35 Female 14 Partnered 3 2 52302 53
TM498 35 Male 16 Partnered 3 2 53439 53
TM498 35 Female 16 Single 3 2 50028 64
TM498 35 Male 16 Partnered 3 3 53439 95
TM498 37 Female 16 Partnered 2 3 48891 85
TM498 38 Female 16 Partnered 4 3 62535 85
TM498 38 Male 16 Partnered 3 3 59124 106
TM498 40 Female 16 Partnered 3 3 61398 85
TM498 40 Female 16 Single 3 3 57987 85
TM498 40 Male 16 Partnered 3 3 64809 95
TM498 45 Male 16 Partnered 2 2 54576 42
TM498 48 Male 16 Partnered 2 3 57987 64
TM798 22 Male 14 Single 4 3 48658 106
TM798 22 Male 16 Single 3 5 54781 120
TM798 22 Male 18 Single 4 5 48556 200
TM798 23 Male 16 Single 4 5 58516 140
TM798 23 Female 18 Single 5 4 53536 100
TM798 23 Male 16 Single 4 5 48556 100
TM798 24 Male 16 Single 4 5 61006 100
TM798 24 Male 18 Partnered 4 5 57271 80
TM798 24 Female 16 Single 5 5 52291 200
TM798 24 Male 16 Single 5 5 49801 160
TM798 25 Male 16 Partnered 4 5 49801 120
TM798 25 Male 16 Partnered 4 4 62251 160
TM798 25 Female 18 Partnered 5 5 61006 200
TM798 25 Male 18 Partnered 4 3 64741 100
TM798 25 Male 18 Partnered 6 4 70966 180
TM798 25 Male 18 Partnered 6 5 75946 240
TM798 25 Male 20 Partnered 4 5 74701 170
TM798 26 Female 21 Single 4 3 69721 100
TM798 26 Male 16 Partnered 5 4 64741 180
TM798 27 Male 16 Partnered 4 5 83416 160
TM798 27 Male 18 Single 4 3 88396 100
TM798 27 Male 21 Partnered 4 4 90886 100
TM798 28 Female 18 Partnered 6 5 92131 180
TM798 28 Male 18 Partnered 7 5 77191 180
TM798 28 Male 18 Single 6 5 88396 150
TM798 29 Male 18 Single 5 5 52290 180
TM798 29 Male 14 Partnered 7 5 85906 300
TM798 30 Female 16 Partnered 6 5 90886 280
TM798 30 Male 18 Partnered 5 4 103336 160
TM798 30 Male 18 Partnered 5 5 99601 150
TM798 31 Male 16 Partnered 6 5 89641 260
TM798 33 Female 18 Partnered 4 5 95866 200
TM798 34 Male 16 Single 5 5 92131 150
TM798 35 Male 16 Partnered 4 5 92131 360
TM798 38 Male 18 Partnered 5 5 104581 150
TM798 40 Male 21 Single 6 5 83416 200
TM798 42 Male 18 Single 5 4 89641 200
TM798 45 Male 16 Single 5 5 90886 160
TM798 47 Male 18 Partnered 4 5 104581 120
TM798 48 Male 18 Partnered 4 5 95508 180
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