# The Analysis of Event Attendance Rates

Autor:   •  July 29, 2018  •  Case Study  •  383 Words (2 Pages)  •  23 Views

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Introduction

The analysis of event attendance rates can play a great role in improving the level of preparedness by counties and business for such events.  There is a competitive advantage for event organizers and participants while the local authorities can also benefit by gaining significant insights on facility usage and public planning indicators (Hara et al, 2013). In this paper, an a statistical and graphical analysis of event attendance was done using a series of three critical questions.

The Questions

The questions that were central to the analysis were as follows:

1. Which facility has the highest attendance rate?
2. Which county has the highest attendance rate?
3. Can we use year to predict attendance rate for the event?

The analysis

1. Which facility has the highest attendance rate

The analysis analysis was done using a cumulative histogram and it revealed the following;

[pic 1]

The analysis revealed that Niagra Reservation has the highest level of attendance among the facilities.

1. Which county has the highest attendance rate?

The analysis for the county with the highest attendance rate. Once again, a cumulative histogram was used to visualize the data.  The result is shown below;

[pic 2]

The analysis revealed that Suffolk county has the highest attendance rate

1. Can we use year to predict attendance rate for the event?

In order to predict  if the year variable can be used to predict the attendance rate for the events, a regression analysis was carried out and the results found were as follows;

 SUMMARY OUTPUT Regression Statistics Multiple R 0.023403 R Square 0.000548 Adjusted R Square 0.000244 Standard Error 761634.7 Observations 3296 ANOVA df SS MS F Significance F Regression 1 1.05E+12 1.05E+12 1.805054 0.179195 Residual 3294 1.91E+15 5.8E+11 Total 3295 1.91E+15 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept -8627893 6605920 -1.30608 0.191615 -2.2E+07 4324232 -2.2E+07 4324232 Year 4416.591 3287.321 1.343523 0.179195 -2028.81 10861.99 -2028.81 10861.99

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