In: Finance
REGRESSION AND RECEIVABLES
Edwards Industries has $320 million in sales. The company expects that its sales will increase 13% this year. Edwards' CFO uses a simple linear regression to forecast the company's receivables level for a given level of projected sales. On the basis of recent history, the estimated relationship between receivables and sales (in millions of dollars) is as follows:
Receivables = $10.25 + 0.10(Sales)
a.Given the estimated sales forecast and the estimated relationship between receivables and sales, what are your forecasts of the company's year-end balance for receivables? Enter your answer in millions. For example, an answer of $25,000,000 should be entered as 25. Round your answer to two decimal places.
b. What are your forecasts of the company's year-end days sales outstanding (DSO) ratio? Assume that DSO is calculated on the basis of a 365-days year. Do not round intermediate calculations. Round your answer to two decimal places.
Sales | 230.00 |
Growth % | 0.13 |
Receivables | $10.25+(0.1)*(Sales) |
No of days | 365.00 |
Sales Forecast | |
Sales at year end | Sales * (1+Growth%) |
259.90 | |
a. Receivables | 36.24 |
DSO | Receivables/Average Sales |
Average Sales | Sales/No of Days in the accounting period |
Average Sales (259.9/365) | 0.71 |
b. DSO (36.24/0.71) | 50.89 |