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REGRESSION AND RECEIVABLES Edwards Industries has $320 million in sales. The company expects that its sales...

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.

Solutions

Expert Solution

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

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