Statistics paper Essay Example | Topics and Well Written Essays - 750 words

Statistics paper - Essay ExampleCommercial sample showed a strong minus correlation (r=0.98) while residential sample showed a strong positive correlation (r=0.97) between the accounting size and the delay. The date of a payment foot be predicted by the turnabout equations derived separately for commercial message and residential samples.Late amount payments always trouble the service providers by interrupting their future planning and investments. check off can be varied from a day to few months or sometimes a year. It is real helpful if a service provider can predict the date of the payment.The size of the institutionalize whitethorn have a relationship with the number of days the payment delays. It may take a huge time for a customer to pay a large step than a small bill or it could be vice versa. However if such a relationship is found the service provider can use it to predict payment dates and work accordingly.The mean values of the total and sub samples (commercial and residential) were calculated. throwback analysis (linear) was performed using Excel and SPSS statistical packages to find out possible correlations between the size of the bill and number of days the payment delayed. Size of the bill was considered as the independent variable in this analysis. reasoning backward analysis for total sample (figure 1) showed no correlation between bill size and delay. However regression analysis for commercial sample (figure 2) showed strong negative correlation. This explains their behavioral trend of paying large bill more quickly than that of the small bills. The residential customers expressed a totally different behavior than the commercial customers. They delay the payment as the bill size increases.Amongst the commercial customers the bill size negatively correlate with the delay while it was positively correlated with the delay amongst the residential customers. The date of a payment can be predicted by the following regression