This was a detailed analysis I performed to indicate which programs had, over a period of time, increased or maintained their attendance.

1. CUBOM 2008-09 Data
Analysis
Fall 2008 – Winter2009

2. Events Included:
•Special Events
•Live On Campus
•Java Club
•Comedy Club
•Movies
Objective:
This report was designed to use statistical data to gain a general overview of how the events
up to the closing of winter term of 2009 have done according to attendance from the student body. The data
was assorted in chronological order and graphically plotted. From this plot, a best fit linear line was added to
visualize the overall trend of each event as the year has progressed. Using the slope of this line it is possible
to indicate either a general increase or decrease over time by either a positive or negative slope respectively.
The numerical value of the slope of each linear line is located on each graph’s legend in the linear equation
adjacent to the x.
The purpose of completing this analysis was to reflect on individual events and committees
that have been having difficulties as the year progressed with student body attendance. Utilizing this data,
the committees that have been success full can share ideas in marketing, sampling, etc. with those that have
been less successful in order to achieve our ultimate goal of entertaining the student body.
Conclusion:
After concluding this analysis, the overall trend for all committees evaluated showed a
negative attendance over all as time has progressed. The average slope for all of the slopes analyzed was -
2.34878. This numerical value may be lower than actual attendance due to the extremely low slope seen for
Comedy Club (-32.5) followed by the second lowest evaluated linear slope of Live On Campus (-15.3). Of
these two lowest, only one of them has an attendance value of zero/unreported, that being Comedy Club.
This demonstrates the possibility that the data may be construed from the actual value, however, both of
them show a steady decline as the year has progressed.
There were two committees that demonstrated a positive overall trend in attendance. These
two committees were Java Club and Special Events. Of these two, Special Events demonstrated the greatest
overall increase in attendance as the year progressed. However, the original value of the first event was 0,
and in general the attendance was inconsistent. The data for Java Club was fairly consistent as the year
progressed and showed a general increase as time has progress.

3. Movie Attendance (Chronological)
250
220
200
183
165 165
160
150 150
140
135
131 131
130 127
115
100 97
88
83 80 Attendance
75
70 70
68 Linear (Attendance)
5760 60 60 y = -0.789x + 89.36
55 55
50 50
45
42 39
35 34
30 27 30
25 25 22
20 20
16 14 12 15 15
6 6
4
0 0

4. Comedy Club (Chronological)
250
200 200
175
150
Attendance
Linear (Attendance)
y = -32.5x + 207.5
100 100
75
50
0 0
Dan Ahdoot Eric O'shea Jasper Redd Retta Johnny Walker

5. Java Club (Chronological)
70
65
60
50
45
40 40
36
Attendance
Linear (Attendance)
30 30
y = 1.845x + 22.82
20
18
15
10
0 0
Jessica John Rush Javier Cahill Chris Cauley Jason Ross Ry Cuming
Sonner Mendoza Levasseur Copperman

6. Live On Campus (Chronological)
140
130
120
100
80 80 80
Attendance
Linear (Attendance)
60 60
y = -15.3x + 121.3
40
27
20
0
Rachel Schuldt/Jay Brian Schweppe & Even Stoner, Dani Sean Ryan and the Jeremy Hoffman & Dain
Deluna Rayla Smith Oester Dawn Sunstedt

7. Special Events (Chronological)
600
500 500
400
300 Attendance
Linear (Attendance)
y = 35x + 35
200
150
100
50
0 0 0
Dale K Mad Chad Taylor Mike Super Ag Sivler Ben Bailey