# New York Institute of Technology-Manhattan Campus Statistics Worksheet

Data Analysis using StatisticsYou will solve the problems that follow using an appropriate spreadsheet or other data analysis
tool (e.g., R). There are approximately 17 primary problems (each with its own data set) of
which each has 2-4 sub-problems. A seed file is provided for your convenience.

Document your solutions in report format.

Create an appropriate Title Page.

Start each new Primary Problem on a new page. Label it carefully.

Includes ‘signature’ screen shots for each problem. One screen shot should show the
overall worksheet. Other screen shots should show how the sub-problems were
calculated.

At the end of each problem, copy-and-paste the specific sub-problem question and
immediately follow it with the answer you’ve calculated. Use the INSERT-SHAPE to
put a box around your answer (as shown in the example below).
Example:
Problem: Compute the mean, median, P30, P60, P90, Q1, Q3, range, and interquartile range on
these data.
Mean = 12.97
Note how both the specific problem and
the corresponding answers are shown. A
box is used to highlight the answers!
Median = 12.7
P30 = ….

You should compile all of the solutions into a SINGLE .docx file for submission. I will
only grade a single file (the first one submitted). Please don’t submit each problem as an
individual file.
Problem #5: Top 100 Movie Box Office
If you Google “Top 100 Movie Box Office, Domestic, All-Time” you can find sites containing
box office movie data. About the fourth link or so should be the All Time DOMESTIC box
office results as reported by the-numbers.com
If your search result does not pull up the page, here is a direct link:
https://www.the-numbers.com/box-office-records/domestic/all-movies/cumulative/all-time
Make sure you are viewing the page showing the ranking of All Time Domestic Box Office (not
All Time Worldwide Box Office).
Confirm Domestic
Highlight the column headings (Rank, Year, Movie, Distributer, Domestic Box Office,
International Box Office, Worldwide Box Office) and the top 100 data records, and then copyand-paste the data values into Excel. (There are multiple paste options, and the “match
destination formatting” should give good results.)
Resize the columns appropriately and the first 10 data rows of your spreadsheet will
look something like this:
Use the =COUNTIF function to count the totals for the Top 6 Studios.
[HWQ9] Among Top 6 Distributors, what percentage of Top 100 movies are Disney movies?
Then use the =SUMIF function to get the Domestic Totals for the Top 6 Studios.
[HWQ10] Consider the accumulated revenue for each of the Top 6 Studios. What percentage of
revenue generated by the Top 6 studios did Disney generate?
[CHARTS] Create pie or doughnut charts of your choosing to show the percentages of Top 100
movies among the Top 6 Distributors and the percentages of Domestic Gross Totals among the
Top 6 Distributors.
Your charts do not have to look exactly like the images below. Choose any pie or doughnut chart
style you like. Choose if you want to show the legend or not, and if so, where you want the legend to
appear. You can choose to show the percentages on your chart or not.
Problem #6: Media Expenditures
The following data show the leading domestic beers, the amount of Media Expenditures (in
millions) and the number of shipments (in millions) for each.
Brand
Budweiser
Bud Light
Miller Lite
Coors Light
Busch
Natural Light
Miller Genuine Draft
Miller High Life
Busch Light
Milwaukee’s Best
Media Expenditures
(\$ millions)
120.0
68.7
100.1
76.6
8.7
0.1
21.5
1.4
5.3
1.7
Shipments
36.3
20.7
15.9
13.2
8.1
7.1
5.6
4.4
4.3
4.3
[HWQ11] Develop the estimated regression equation for these data. Use Shipments as the
dependent variable.
Problem #7: Predicting IPO Prices
The data in the following table show the number of shares selling (millions) and the expected
price (average of projected low price and projected high price) for 10 selected initial public
stock offerings.
Company
Shares Selling (millions)
American Physician
5.0
Apex Silver Mines
9.0
Dan River
6.7
Franchise Mortgage
8.75
Gene Logic
3.0
International Home Foods 13.6
PRT Group
4.6
Rayovac
6.7
RealNetworks
3.0
Software AG Systems
7.7
Expected Price (\$)
15
14
15
17
11
19
13
14
10
13
[HWQ12] Develop an estimated regression equation with the number of shares selling as the
independent variable and the expected price as the dependent variable.
[HWQ13] Did the estimated regression equation provide a good fit? Why or why not?
[HWQ14] Use the estimated regression equation to estimate the expected price for a firm
considering an initial public offering of 6 million shares.
Problem #8: Is the Stock at a Fair Value?
The following data show Morningstar’s Fair Value estimate and the Share Price for 28 companies.
Fair Value is an estimate of a company’s value per share that takes into account estimates of the
company’s growth, profitability, riskiness, and other factors over the next five years.
Company
Air Products and Chemicals
Allied Waste Industries
America Mobile
AT&T
Bank of America
Barclays PLC
Citigroup
Costco Wholesale Corp.
Covidien, Ltd.
Darden Restaurants
Equifax
Gannett Co.
Genuine Parts
GlaxoSmithKline PLC
Iron Mountain
ITT Corporation
Johnson & Johnson
Las Vegas Sands
Macrovision
Marriott International
Nalco Holding Company
National Interstate
Portugal Telecom
Qualcomm
Royal Dutch Shell Ltd.
SanDisk
Time Warner
Fair Value (\$)
80
17
83
35
70
68
53
75
58
52
87
42
38
48
57
33
83
80
98
23
39
29
25
15
48
87
60
42
Share Price (\$)
98.63
11.02
61.39
41.56
41.26
40.37
29.44
69.76
44.29
27.71
88.63
36.36
39.00
46.30
50.39
37.02
66.04
66.70
103.05
18.33
34.18
24.18
33.10
13.02
39.35
84.20
33.17
27.60
[HWQ15] Develop the estimated regression equation that could be used to estimate
the Share Price given the Fair Value.
[HWQ16] Use the estimated regression equation to estimate the Share Price for a
company that has a Fair Value of \$50.
[HWQ17] Do you believe the estimated regression equation would provide a good
Problem #9: College Retention
One of the biggest changes in higher education in recent years has been the growth of online
universities. The Online Education Database is an independent organization whose mission is to build a
comprehensive list of the top accredited online colleges. The following table shows the retention rate
(%) and the graduation rate (%) for 29 online colleges:
College
Western International University
South University
University of Phoenix
American InterContinental University
Franklin University
Devry University
Tiffin University
Post University
Peirce College
Everest University
Upper Iowa University
Dickinson State University
Western Governors University
Kaplan University
Salem International University
Ashford University
ITT Technical Institute
Berkeley College
Grand Canyon University
Nova Southeastern University
Westwood College
Liberty University
LeTourneau University
Rasmussen College
Keiser University
Herzing College
National University
Florida National College
Retention Rate%
7
51
4
29
33
47
63
45
60
62
67
65
78
75
54
45
38
51
69
60
37
63
73
78
48
95
68
100
100
25
25
28
32
33
33
34
36
36
36
36
37
37
38
39
41
44
45
46
47
48
50
51
52
53
55
56
57
61
[HWQ18] Develop a scatter diagram with retention rate as the independent variable. What does
the scatter diagram indicate about the relationship between the two variables?
[HWQ19] Develop the estimated regression equation.
[HWQ20] Suppose you were the president of South University. After reviewing the results, would
you have any concerns about the performance of your university as compared to other online
universities?
Problem #10: Should we Invest?
Jensen Tire & Auto is in the process of deciding whether to purchase a maintenance contract for its
new computer wheel alignment and balancing machine. Managers feel that maintenance expense
should be related to usage, and they collected the following information on weekly usage (hours)
and annual maintenance expense (in hundreds of dollars).
Weekly Usage (hrs)
13
10
20
28
32
17
24
31
40
38
Annual Maintenance Expense (\$100s)
17.0
22.0
30.0
37.0
47.0
30.5
32.5
39.0
51.5
40.0
[HWQ21] Develop the estimated regression equation that relates annual maintenance
expense to weekly usage.
[HWQ22] Jensen expects to use the new machine 30 hours per week. Develop a
prediction for the company’s annual maintenance expense.
Problem #11: National Football League
The following data show the recent annual revenue (\$ millions) and the estimated team value (\$
millions) for the 32 teams in the National Football League:
Team
Arizona Cardinals
Atlanta Falcons
Baltimore Ravens
Buffalo Bills
Carolina Panthers
Chicago Bears
Cincinnati Bengals
Cleveland Browns
Dallas Cowboys
Denver Broncos
Detroit Lions
Green Bay Packers
Houston Texans
Indianapolis Colts
Jacksonville Jaguars
Kansas City Chiefs
Miami Dolphins
Minnesota Vikings
New England Patriots
New Orleans Saints
New York Giants
New York Jets
Oakland Raiders
Pittsburgh Steelers
San Diego Chargers
San Francisco 49ers
Seattle Seahawks
St. Louis Rams
Tampa Bay Buccaneers
Tennessee Titans
Washington Redskins
Revenue (\$ millions)
203
203
226
206
221
226
205
220
269
226
204
218
239
203
204
214
232
195
282
213
214
213
205
237
216
207
201
215
206
224
216
327
Value (\$ millions)
914
872
1062
885
1040
1064
941
1035
1612
1061
917
1023
1125
1076
876
1016
1044
839
1324
937
1178
1170
861
1116
1015
888
865
1010
929
1053
994
1538
[HWQ23] Develop a scatter diagram with Revenue on the horizontal axis and Value on the
vertical axis. Looking at the scatter diagram, does it appear that there are any outliers and/or
influential observations in the data?
[HWQ24] Develop the estimated regression equation that can be used to predict team
value given the amount of annual revenue.
Problem #12: Does Studying Really Work?
An analytics professor at this university is interested in the relationship between hours spent
studying and total points earned in a course. Data collected on 10 students who took the course
last semester is shown below:
Hours Studying
45
30
90
60
105
65
90
80
55
75
Total Points Earned
40
35
75
65
90
50
90
80
45
65
[HWQ25] Develop an estimated regression equation showing how total points earned
is related to hours spent studying.
[HWQ26] Predict the total points earned by Tim Caboni. He spent 95 hours studying.
The owner of Showtime Movie Theaters, Inc., would like to estimate weekly gross revenue as a
function of advertising expenditures. Historical data for a sample of eight weeks follow:
Weekly Gross Revenue (\$1000s)
96
90
95
92
95
94
94
94
5.0
2.0
4.0
2.5
3.0
3.5
2.5
3.0
1.5
2.0
1.5
2.5
3.3
2.3
4.2
2.5
[HWQ27] Develop an estimated regression equation with the amount of television
[HWQ28] Develop an estimated regression equation with both television advertising and
newspaper advertising as the independent variables.
[HWQ29] What is the estimate of the weekly gross revenue for a week when \$3500 is
Problem #14: Baseball
In baseball, a team’s success is often thought to be a function of the team’s hitting and pitching
performance. One measure of hitting performance is the number of home-runs the team hits, and
one measure of pitching performance is the earned run average for the team’s pitching staff. It is
generally believed that teams that hit more home runs and have a lower earned run average will
win a higher percentage of the games played. The following data show the proportion of games
won, the number of team home runs (HR), and the earned run average (ERA) for the 16 teams in
the National League
Team
Arizona
Atlanta
Chicago
Cincinnati
Florida
Houston
Los Angeles
% WonHR
ERA
Team
% Won HR
.519 152
.623 235
.543 172
.426 182
.457 198
.562 157
.537 191
.525 124
3.857
4.106
3.842
5.127
5.269
4.059
3.880
3.162
Milwaukee
.420
Montreal
.512
New York
.410
Pittsburgh
.463
San Diego
.395
San Francisco .621
St. Louis
.525
196
144
124
166
163
128
180
196
ERA
5.058
4.027
4.517
4.072
4.664
4.904
3.734
4.642
[HWQ30] Determine the estimated regression equation that could be used to predict the
proportion of games won given the number of team home runs.
[HWQ31] Determine the estimated regression equation that could be used to predict the
proportion of games won given the earned run average for the team’s pitching staff.
[HWQ32] Determine the estimated regression equation that could be used to predict the
proportion of games won given the number of team home runs and the earned run average
for the team’s pitching staff.
[HWQ33] Last season San Diego won only 39.5% of the games they played, the lowest
in the National League. To improve next year’s record, the team tried to acquire new
players who would increase the number of team home runs to 180 and decrease the
earned run average for the team’s pitching staff to 4.0. Use the estimated regression
equation developed in part (c) to estimate the percentage of games San Diego will win
if they have 180 team home runs and have an earned run average of 4.0.
Problem #15: PC World Computer Reviews
PC World rated four component characteristics for 10 ultraportable laptop computers: features;
performance; design; and price. Each characteristic was rated using a 0–100 point scale. An overall
rating, referred to as the PCW World Rating, was then developed for each laptop. The following
table shows the performance rating, features rating, and the PCW World Rating for the 10 laptop
computers.
Model
Performance
77
VGN-Z598U
97
U6V
83
Elitebook 2530P
77
X360
64
56
55
MicroExpress
JFT250
76
Toughbook W7
46
HP Voodoo Envy
54
Features
87
85
80
75
80
76
81
PCW Rating
83
82
81
78
78
78
77
73
79
68
75
73
72
[HWQ34] Determine the estimated regression equation that can be used to predict
the PCW World Rating using the performance rating as the independent variable.
[HWQ35] Determine the estimated regression equation that can be used to predict
the PCW World Rating using both the performance rating and the features rating.
[HWQ36] Predict the PCW World Rating for a laptop computer that has a
performance rating of 80 and a features rating of 70.
Problem #16: Waterskiing Data Analysis
Waterskiing and wakeboarding are two popular water-sports. Finding a model that best suits your
intended needs, whether it is waterskiing, wakeboarding, or general boating, can be a difficult task.
Waterski magazine did extensive testing for 88 boats and provided a wide variety of information to
help consumers select the best boat. A portion of the data they reported for 20 boats with a length of
between 20 and 22 feet follows. Beam is the maximum width of the boat in inches, HP is the
horsepower of the boat’s engine, and Top Speed is the top speed in miles per hour (mph).
Make/Model
Beam
Calabria Cal Air Pro V-2
100
Correct Craft Air Nautique 210
91
Correct Craft Air Nautique SV-211 93
Correct Craft Ski Nautique 206 Ltd 91
Gekko GTR 22
96
Gekko GTS 20
83
Malibu Response LXi
93.5
Malibu Sunsettter LXi
98
Malibu Sunsetter 21 XTi
98
Malibu Sunscape 21 LSV
98
Malibu Wakesetter 21 XTi
98
Malibu Wakesetter VLX
98
Malibu vRide
93.5
Malibu Ride XTi
93.5
Mastercraft ProStar 209
96
Mastercraft X-1
90
Mastercraft X-2
94
Mastercraft X-9
96
MB Sports 190 Plus
92
Svfara SVONE
91
HP
330
330
375
330
375
375
340
400
340
400
340
400
340
320
350
310
310
350
330
330
Top Speed
45.3
47.3
46.9
46.7
50.1
52.2
47.2
46
44
47.5
44.9
47.3
44.5
44.5
42.5
45.8
42.8
43.2
45.3
47.7
[HWQ37] Using these data, develop a regression equation comparing the top speed with the
boat’s beam and horsepower rating.
[HWQ38] The Svfara SV609 has a beam of 85 inches and an engine with a 330-horsepower rating.
Use the estimated regression equation developed in part (a) to estimate the top speed for the Svfara
V609
The National Basketball Association (NBA) records a variety of statistics for each team. Four of
these statistics are the proportion of games won (PCT), the proportion of field goals made by
the team (FG%), the proportion of three-point shots made by the team’s opponent (Opp 3
Pt%), and the number of turnovers committed by the team’s opponent
(Opp TO). The following data show the values of these statistics for the 29 teams in the NBA
for a portion of a recent season
Team
PCT
Atlanta
0.265
Boston
0.471
Chicago
0.313
Cleveland
0.303
Dallas
0.581
Denver
0.606
Detroit
0.606
Golden State 0.452
Houston
0.548
Indiana
0.706
L.A. Clippers 0.464
L.A. Lakers 0.724
Memphis
0.485
Miami
0.424
Milwaukee 0.500
FG% Opp3Pt OppTO
0.435 0.346
13.206
0.449 0.369
16.176
0.417 0.372
15.031
0.438 0.345
12.515
0.439 0.332
15.000
0.431 0.366
17.818
0.423 0.262
15.788
0.445 0.384
14.290
0.426 0.324
13.161
0.428 0.317
15.647
0.424 0.326
14.357
0.465 0.323
16.000
0.432 0.358
17.848
0.410 0.369
14.970
0.438 0.349
14.750
Team
Minnesota
New Jersey
New Orleans
New York
Orlando
Phoenix
Portland
Sacramento
San Antonio
Seattle
Toronto
Utah
Washington
PCT
0.677
0.563
0.636
0.412
0.242
0.438
0.364
0.484
0.724
0.688
0.533
0.516
0.531
0.300
Opp3Pt
FG% OppTO
0.473 0.348
13.839
0.435 0.338
17.063
0.421 0.330
16.909
0.442 0.330
13.588
0.417 0.360
14.242
0.428 0.364
16.938
0.438 0.326
16.515
0.447 0.367
12.548
0.466 0.327
15.207
0.429 0.293
15.344
0.436 0.350
16.767
0.424 0.314
14.129
0.456 0.368
15.469
0.411 0.341
16.133
[HWQ39] Determine the estimated regression equation that can be used to predict the
proportion of games won given the proportion of field goals made by the team.
[HWQ40] Determine the estimated regression equation that can be used to predict the proportion
of games won given the proportion of field goals made by the team, the proportion of three-point
shots made by the team’s opponent, and the number of turnovers committed by the team’s
opponent.
[HWQ41wa] Estimate the proportion of games won for a team with the following
values for the three independent variables: FG% .45, Opp 3 Pt% .34, and Opp TO 17.
Company
Exelon
Duke
AES
Southern Co
FirstEnergy
PG&E
American Elec
NextEra Energy
Dominion Res
Edison Intl
PPL
Con Edison
Entergy
Xcel Energy
PSE Group
Sempra
DTE Energy
NRG Energy
CenterPoint Energy
Ameren
Revenue (\$ Billions)
23.5
19.6
18.2
16.5
15.3
15.0
14.9
14.3
13.2
13.1
12.3
12.2
10.3
10.1
9.8
9.6
8.8
8.4
7.5
6.8
Refinery Location
Baytown, Texas
Baton Rouge, Louisiana
Texas City, Texas
Lake Charles, Louisiana
Whiting, Indiana
Beaumont, Texas
Pascagoula, Mississippi
Deer Park, Texas
Wood River, Illinois
Port Arthur, Texas
Company
ExxonMobil
ExxonMobil
BP
Citgo
BP
ExxonMobil
Sunoco
Chevron
Partnership
WRB
Premcor
Capacity
675,000
609,000
546,750
483,500
430,000
380,500
355,000
310,000
309,800
302,000
269,000
Listeners Surveyed
33
27
38
20
28
31
28
54
30
50
25
45
16
39
38
34
28
43
21
33
38
54
39
43
36
17
46
20
29
52
20
36
31
36
35
38
40
32
31
36
47
26
45
36
53
Age Bin
15 – 19
20 – 24
25 – 29
30 – 34
35 – 39
40 – 44
45 – 49
50 – 54
Number of Listeners
38
31
51
27
35
27
47
31
32
35
42
41
31
31
27
20
37
39
33
44
16
39
28
41
45
25
41
33
32
24
35
34
34
21
44
46
36
35
21
31
40
39
23
21
46
21
30
38
38
34
31
43
33
41
27
45
32
41
31
51
40
34
42
32
41
33
40
26
31
22
42
38
36
43
37
34
25
35
22
33
42
33
47
43
44
43
42
31
47
44
29
16
49
23
38
18
29
33
33
50
47
43
33
40
16
29
34
30
34
30
17
35
32
35
31
27
47
28
46
45
46
21
41
28
38
19
31
49
30
37
32
26
24
26
38
22
36
28
35
33
31
38
26
41
37
54
25
49
41
29
39
53
36
35
19
43
34
20
44
34
38
48
25
38
18
37
38
42
37
46
39
28
47
25
30
26
29
31
35
30
36
29
53
29
Class Data
Student #
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
Sex
F
M
F
M
F
F
M
M
M
F
F
M
M
F
M
M
M
M
F
M
M
F
M
F
F
F
M
M
F
F
F
F
M
M
M
F
M
M
F
Height
(inches)
67
72
70
70
61
66
71
67
65
67
74
68
74
64
69
64
72
71
67
70
66
67
68
71
75
67
68
72
68
66
65
64
72
67
73
71
71
69
69
Year in
College
3
2
2
1
4
3
3
4
3
3
3
3
2
4
3
3
4
3
2
4
4
2
4
3
1
1
3
4
3
2
2
4
1
4
3
4
3
2
4
Intended
Major
S
P
S
B
P
B
H
B
S
B
H
S
P
P
S
B
P
B
S
S
S
B
S
H
S
B
P
B
P
B
B
B
H
B
S
B
B
S
P
40
41
42
43
44
45
46
47
48
M
M
M
F
M
M
M
F
M
74
73
68
66
73
73
67
62
68
4
3
3
2
2
2
4
3
2
S
B
B
S
P
S
S
S
B
Sex
Female
Male
Number of Students
Percentages
Intended Major
Biological Science (B)
Humanities (H)
Physical Science (P)
Social Science (S)
Number of Students
Percentages
Year in College
Seniors
Juniors
Sophomores
Freshman
Number of Students
Percentages
Brand
Media Expenditures (\$M) Shipments in bbls. (M)
Budweiser
120
36.3
Bud Light
68.7
20.7
Miller Lite
100.1
15.9
Coors Light
76.6
13.2
Busch
8.7
8.1
Natural Light
0.1
7.1
Miller Genuine Draft
21.5
5.6
Miller High Lite
1.4
4.4
Busch Light
5.3
4.3
Milwaukee’s Best
1.7
4.3
Company
American Physician
Apex Silver Mines
Dan River
Franchise Mortgage
Gene Logic
International Home Foods
PRT Group
Rayovac
RealNetworks
Software AG Systems
Shares
5
9
6.7
8.75
3
13.6
4.6
6.7
3
7.7
Price
15
14
15
17
11
19
13
14
10
13
Company
Air Products and Chemicals
Allied Waste Industries
America Mobile
AT&T
Bank of America
Barclays PLC
Citigroup
Costco Wholesale Corp.
Covidien, Ltd.
Darden Restaurants
Equifax
Gannett Co.
Genuine Parts
GlaxoSmithKline PLC
Iron Mountain
ITT Corporation
Johnson & Johnson
Las Vegas Sands
Macrovision
Marriott International
Nalco Holding Company
National Interstate
Portugal Telecom
Qualcomm
Royal Dutch Shell Ltd.
SanDisk
Time Warner
Fair Value (\$) Share Price (\$)
80
98.63
17
11.02
83
61.39
35
41.56
70
41.26
68
40.37
53
29.44
75
69.76
58
44.29
52
27.71
87
88.63
42
36.36
38
39
48
46.3
57
50.39
33
37.02
83
66.04
80
66.7
98
103.05
23
18.33
39
34.18
29
24.18
25
33.1
15
13.02
48
39.35
87
84.2
60
33.17
42
27.6
College
RR(%) GR(%)
Western International University
7
25
South University
51
25
University of Phoenix
4
28
American InterContinental University
29
32
Franklin University
33
33
Devry University
47
33
Tiffin University
63
34
Post University
45
36
Peirce College
60
36
Everest University
62
36
Upper Iowa University
67
36
Dickinson State University
65
37
Western Governors University
78
37
Kaplan University
75
38
Salem International University
54
39
Ashford University
45
41
ITT Technical Institute
38
44
Berkeley College
51
45
Grand Canyon University
69
46
Nova Southeastern University
60
47
Westwood College
37
48
63
50
Liberty University
73
51
LeTourneau University
78
52
Rasmussen College
48
53
Keiser University
95
55
Herzing College
68
56
National University
100
57
Florida National College
100
61
Usage Expense
13
17
10
22
20
30
28
37
32
47
17
30.5
24
32.5
31
39
40
51.5
38
40
Team
Revenue Value
Arizona Cardinals
203
914
Atlanta Falcons
203
872
Baltimore Ravens
226 1062
Buffalo Bills
206
885
Carolina Panthers
221 1040
Chicago Bears
226 1064
Cincinnati Bengals
205
941
Cleveland Browns
220 1035
Dallas Cowboys
269 1612
Denver Broncos
226 1061
Detroit Lions
204
917
Green Bay Packers
218 1023
Houston Texans
239 1125
Indianapolis Colts
203 1076
Jacksonville Jaguars
204
876
Kansas City Chiefs
214 1016
Miami Dolphins
232 1044
Minnesota Vikings
195
839
New England Patriots
282 1324
New Orleans Saints
213
937
New York Giants
214 1178
New York Jets
213 1170
Oakland Raiders
205
861
237 1116
Pittsburgh Steelers
216 1015
San Diego Chargers
207
888
San Francisco 49ers
201
865
Seattle Seahawks
215 1010
St Louis Rams
206
929
Tampa Bay Buccaneers
224 1053
Tennessee Titans
216
994
Washington Redskins
327 1538
Hours
45
30
90
60
105
65
90
80
55
75
Points
40
35
75
65
90
50
90
80
45
65
Weekly
Gross
Televison Newspaper
96
5
1.5
90
2
2
95
4
1.5
92
2.5
2.5
95
3
3.3
94
3.5
2.3
94
2.5
4.2
94
3
2.5
Team
Proportion Won HR ERA
Arizona
0.519 152 3.857
Atlanta
0.623 235 4.106
Chicago
0.543 172 3.842
Cincinnati
0.426 182 5.127
0.457 198 5.269
Florida
0.562 157 4.059
Houston
0.537 191 3.88
Los Angeles
0.525 124 3.162
Milwaukee
0.42 196 5.058
Montreal
0.512 144 4.027
New York
0.41 124 4.517
0.531 166 4.072
Pittsburgh
0.463 163 4.664
San Diego
0.395 128 4.904
San Francisco
0.621 180 3.734
St. Louis
0.525 196 4.642
Model
VGN-Z598U
U6V
Elitebook 2530P
X360
Micro Express JFT2500
Toughbook W7
HP Voodoo Envy133
Performance Features PCW Rating
77
87
83
97
85
82
83
80
81
77
75
78
64
80
78
56
76
78
55
81
77
76
73
75
46
79
73
54
68
72
Make and Model
Calabria Cal Air Pro V-2
Correct Craft Air Nautique 210
Correct Craft Air Nautique SV-211
Correct Craft Ski Nautique 206 Limited
Gekko GTR 22
Gekko GTS 20
Malibu Response LXi
Malibu Sunsettter LXi
Malibu Sunsetter 21 XTi
Malibu Sunscape 21 LSV
Malibu Wakesetter 21 XTi
Malibu Wakesetter VLX
Malibu vRide
Malibu Ride Xti
Mastercraft ProStar 209
Mastercraft X-1
Mastercraft X-2
Mastercraft X-9
MB Sports 190 Plus
Svfara SVONE
Beam HP TopSpeed
100 330
45.3
91 330
47.3
93 375
46.9
91 330
46.7
96 375
50.1
83 375
52.2
93.5 340
47.2
98 400
46
98 340
44
98 400
47.5
98 340
44.9
98 400
47.3
93.5 340
44.5
93.5 320
44.5
96 350
42.5
90 310
45.8
94 310
42.8
96 350
43.2
92 330
45.3
91 330
47.7
Team
Atlanta
Boston
Chicago
Cleveland
Dallas
Denver
Detroit
Golden State
Houston
Indiana
L.A. Clippers
L.A. Lakers
Memphis
Miami
Milwaukee
Minnesota
New Jersey
New Orleans
New York
Orlando
Phoenix
Portland
Sacramento
San Antonio
Seattle
Toronto
Utah
Washington
PCT FG% Opp 3 Pt% Opp TO
0.265 0.435
0.346 13.206
0.471 0.449
0.369 16.176
0.313 0.417
0.372 15.031
0.303 0.438
0.345 12.515
0.581 0.439
0.332
15
0.606 0.431
0.366 17.818
0.606 0.423
0.262 15.788
0.452 0.445
0.384
14.29
0.548 0.426
0.324 13.161
0.706 0.428
0.317 15.647
0.464 0.424
0.326 14.357
0.724 0.465
0.323
16
0.485 0.432
0.358 17.848
0.424 0.41
0.369
14.97
0.5 0.438
0.349
14.75
0.677 0.473
0.348 13.839
0.563 0.435
0.338 17.063
0.636 0.421
0.33 16.909
0.412 0.442
0.33 13.588
0.242 0.417
0.36 14.242
0.438 0.428
0.364 16.938
0.364 0.438
0.326 16.515
0.484 0.447
0.367 12.548
0.724 0.466
0.327 15.207
0.688 0.429
0.293 15.344
0.533 0.436
0.35 16.767
0.516 0.424
0.314 14.129
0.531 0.456
0.368 15.469
0.3 0.411
0.341 16.133

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