6. Using regression analysis to forecast assets

6. Using regression analysis to forecast assets Aa Aa E The AFN equation and the financial statement-forecasting approach both assume that assets grow at relatively the same rate as sales. However, the relationship between assets and sales is often a little more difficult than that. In particular, some firms use regression analysis to predict the required assets needed to support a given level of sales. Input Inc. has used its historical sales and asset data to estimate the following regression equations: Accounts Receivable Inventories = $98,770 + 0.225(Sales) $9,340 + 0.211(Sales) Input Inc. currently has sales of $922,000, but it expects sales to grow by 10% over the next year. Use the regression models to calculate Input Inc.'s forecasted values for accounts receivable and inventories needed to support next year's sales. Forecasted Values for Next Year Accounts receivable Inventories Based on the next year's accounts receivable and inventory levels predicted by Input Inc.'s regression equations, the firm's DSO for next year is expected to be . Use 365 days as the length of a year in all calculations