preview

Statistical Analysis for Quick Stab Collection Agency

Better Essays

Statistical Analysis for Quick Stab Collection Agency

Executive Summary The purpose of the paper is to provide a statistical analysis of overdue bills for Quick Stab Collection Agency (QSCA). The data will be taken from accounts closed over a six month period. The goal is to determine if a correlation between the type of account, the amount of the bill and the days to collection exists. To determine the existence of a correlation, regression analysis of several variables was completed. This regression analysis also included predictions. Further study also included descriptive statistical analysis, together with graphs. This analysis will show that the correlation exists between the type of account and the days to collection. It will …show more content…

This analysis would benefit from the addition of more variables. The addition of variables would allow a more accurate study. These variables should also being broken down into several data elements. Some suggestions for variables for future analysis include the discount for the bill purchased and a variety of account demographics. These demographics might include credit status, geographic location, bankruptcy/foreclosure, net worth or net income. This study should also be for a longer time period. The additional variables would identify the greatest possible accounts with the shortest time for collection.
EXHIBIT A
Descriptive statistics DAYS BILL TYPE count 96 96 96 mean 49.78 174.27 0.50 sample variance 557.86 6,056.58 0.25 sample standard deviation 23.62 77.82 0.50 minimum 5 46 0 maximum 99 311 1 range 94 265 1 population variance 552.05 5,993.49 0.25 population standard deviation 23.50 77.42 0.50 standard error of the mean 2.41 7.94 0.05 confidence interval 95.% lower 45.00 158.50 0.40 confidence interval 95.% upper 54.57 190.04 0.60 half-width 4.79 15.77 0.10 1st quartile 32.50 97.75 0.00 median 47.50 170.50 0.50
3rd quartile 69.00 221.25 1.00 interquartile range 36.50 123.50 1.00 mode 47.00 205.00 1.00
EXHIBIT B Regression Analysis R² 0.635 Adjusted R² 0.627 n 96 R 0.797 k 2

Get Access