Creating Visuals From Data

Create at least three visuals.One visual must be a scatterplot with trend line, equation and R2 value.Two of the remaining required visuals can be a histogram, box and whisker plot, or pie chart.Please note that the data sets include data that will not be needed to create your visuals. Quantitative reasoning requires critical thinking to decide what data is necessary. Create a Word document that includes your three visuals and the following items:My topic: Topic 3 College Tuition and FeesTitle of your project and the scenario you are addressingBrief description of each visual (15 to 50 words)Consider including the following for each visual when applicable:A chart title that is appropriate for the dataA descriptive x-axis labelA descriptive y-axis labelFor your xy scatterplot, make at least one prediction using the trendline equation for some date into the future. How confident are you in this prediction? State your prediction and provide justification (50 to 150 words). If you created a box and whisker plot, describe the central tendency of the values. What does this tell you about the data and about your project?Calculate the mean of the sample data. Click here to view an example of the of visuals expected for this assignment.
mth216r3_data_for_topic.xlsx

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Health Services and Nursing Scenario
Topic 1
Scenario 1
Year
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
Predicting Expected Medicare Payers
Review data of the expected payers that used Medicare 2003 to 2014. Predict the
percentage of expected payers that will use Medicare in 2018.
County
Humbolt
Humbolt
Humbolt
Humbolt
Humbolt
Humbolt
Humbolt
Humbolt
Humbolt
Humbolt
Humbolt
Humbolt
Zip Code
90001
90001
90001
90001
90001
90001
90001
90001
90001
90001
90001
90001
Medicare
payers
35612
37412
39841
40123
43122
44125
51229
59748
57008
56727
57985
63123
Security and Criminal Justice Scenario
Predicting Total US correctional population
Review the data on persons supervised by U.S. adult correctional systems by correctional status.
Scenario 2 Predict the number of the United States population that will be supervised by U.S. adult
correctional system in 2018.
Topic 2
Year
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
Total US
correctional
population
6,467,800
6,584,900
6,730,900
6,886,800
6,997,000
7,055,600
7,199,700
7,339,600
7,313,600
7,235,200
7,086,500
6,989,200
6,945,100
6,903,200
6,851,000
Probation
3,839,400
3,934,500
3,995,000
4,073,800
4,140,400
4,162,300
4,236,800
4,293,000
4,270,100
4,196,200
4,053,600
3,969,400
3,940,800
3,910,600
3,864,100
Parole
725,500
731,100
753,100
773,500
775,900
784,400
798,200
826,100
828,200
824,100
840,700
854,600
857,800
855,200
856,900
nario
ms by correctional status.
Humanities and Sciences Scenario
Topic 3
Scenario 3
Year
Yearly
Tuition
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2005
2004
\$29,450
\$24,444
\$20,288
\$17,245
\$16,412
\$15,984
\$8,618
\$7,153
\$5,937
\$14,658
\$13,549
\$12,435
Predicted College Tuition and Fees
Review college data of the yearly tuition & fees. Predict the cost of yearly tuition and fees in 2018.
Books &
Supplies
\$1,250
\$1,038
\$861
\$732
\$625
\$600
\$1,200
\$996
\$827
\$703
\$699
\$612
Living
Costs
\$12,400
\$10,292
\$8,542
\$7,261
\$6,532
\$5,899
\$15,682
\$13,016
\$10,803
\$9,183
\$5,771
\$5,256
Yearly
Tuition &
Fees
\$44,190
\$36,679
\$30,442
\$25,876
\$24,112
\$22,984
\$25,770
\$21,389
\$17,753
\$24,702
\$20,142
\$18,415
nario
uition and fees in 2018.
Social Sciences Scenario
Predicting Teen Communication Preferences
Review the data on communication preferences with teens. Predict how many high-school teens will
Scenario 4
prefer to use face-to-face communication in 2018.
Topic 4
Communication Preference
Age
School Level
2000
2001
2002
Face to Face
Face to Face
Face to Face
Teen
Teen
Teen
HS
HS
HS
2003
Face to Face
Teen
HS
76
2004
Face to Face
Teen
HS
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
Face to Face
Face to Face
Face to Face
Face to Face
Face to Face
Face to Face
Face to Face
Face to Face
Face to Face
Face to Face
Face to Face
Teen
Teen
Teen
Teen
Teen
Teen
Teen
Teen
Teen
Teen
Teen
HS
HS
HS
HS
HS
HS
HS
HS
HS
HS
HS
55
49
50
43
42
36
23
30
15
13
8
5
Logarithmic Regression
120
Number
of Teens
87
98
Year
86
120
y = -12105ln(x) + 92102
R² = 0.9473
Number of Teens
100
80
60
40
20
0
1998
-20
2000
2002
2004
2006
2008
Year
2010
2012
2014
2016
ario
edict how many high-school teens will
Topic 5
Scenario 5
Year
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
Predicting Tires Purchased
Review the yearly data involving tires purchased at a tire shop with declining business. Predict how m
tires will need to be in stock to have available for the customers in 2018.
Tires
Wheels
Lugnuts
Purchased Purchased Purchased
20,478
20,018
28,592
15,478
18,274
9,967
11,148
13,086
11,148
17,916
14,659
14,659
13,390
9,697
8,080
16,146
25,698
18,425
18,456
32,237
15,132
12,570
21,404
9,173
16,243
14,993
7,184
15,628
18,346
9,852
18,063
14,193
6,999
7,122
3,052
3,713
6,649
3,740
3,586
9,217
4,748
3,994
6,235
3,662
2,733
16,542
12,426
8,145
12,459
8,743
11,405
9,322
5,243
6,033
8,704
4,687
4,491
9,904
4,661
5,028
Education Scenario
Topic 6
Scenario 6
Predicting SAT Test Scores
Review the data on the average SAT scores of college-bound seniors from 2002-2015. Predict the
2018.
Average SAT-Mathematics of college-bound seniors
Year
2002
2003
2004
All students Average
White
Black
Mexican American
Puerto Rican
Other Hispanic
Asian/Pacific
Islander
American
2005
2006
2007
2008
2009
540
530
426
460
566
467
529
531
426
458
451
465
530
533
427
457
451
464
522
534
426
457
453
464
531
531
427
458
452
465
523
536
431
463
457
469
525
536
429
465
456
463
530
534
429
466
454
463
565
566
569
575
577
580
578
578
481
479
483
482
488
493
494
494
ario
2002-2015. Predict the average SAT scores of college-bound seniors in
2010
2011
2012
2013
2014
2015
525
537
426
463
453
461
520
536
426
463
450
461
519
536
428
467
452
462
516
535
427
466
452
462
518
536
428
465
452
461
514
534
429
464
453
461
581
587
591
595
595
597
491
493
492
488
489
486

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