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REGRESSION AND RECEIVABLES Edwards Industries has $320 million in sales. The company expects that its sales will increase 12% 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 lollop s: Receivables = $9.25 + 0.07(Sales) Given the estimated sales forecast and tile estimated relationship between receivables and sales, what are your forecasts of the company's year-end balance for receivables and its year-end days sales outstanding (DSO) ratio? Assume that DSO is calculated on the basis of a 365-day year.

BuyFind

Fundamentals of Financial Manageme...

14th Edition
Eugene F. Brigham + 1 other
Publisher: Cengage Learning
ISBN: 9781285867977
BuyFind

Fundamentals of Financial Manageme...

14th Edition
Eugene F. Brigham + 1 other
Publisher: Cengage Learning
ISBN: 9781285867977

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Chapter
Section
Chapter 17, Problem 10P
Textbook Problem

REGRESSION AND RECEIVABLES Edwards Industries has $320 million in sales. The company expects that its sales will increase 12% 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 lollop s:

Receivables = $9.25 + 0.07(Sales)

Given the estimated sales forecast and tile estimated relationship between receivables and sales, what are your forecasts of the company's year-end balance for receivables and its year-end days sales outstanding (DSO) ratio? Assume that DSO is calculated on the basis of a 365-day year.

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