16-10      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 follows:   Receivables =  $9.25 +  0.07(Sales)   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 and its year-end days sales outstanding (DSO) ratio? Assume that DSO is calculated on the basis of a 365-day year.

FINANCIAL ACCOUNTING
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Author:Libby
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Chapter1: Financial Statements And Business Decisions
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16-10      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 follows:

 

Receivables =  $9.25 +  0.07(Sales)

 

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 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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