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Please help. show me formula please.. 2 Snicks Board Shop is trying to better understand the behavior of their utility expenses. They have accumulated utility

Please help. show me formula please..

2 Snicks Board Shop is trying to better understand the behavior of their utility expenses. They have accumulated utility expenses over the last 9 months and believe hours open per month are a good predictor of expense behavior. Utility expenses include electricity, gas, and water. Use the filech7-11 to complete a cost prediction worksheet. Save the file as ch7-11_student_name (replacing student_name with your name). The work-sheet should do the following:earning 4 percent per year.

1. Using the Hi-Lo method, calculate variable cost per unit sold, fixed costs, and a prediction of utility expense when they are open 230 hours in a month.

2. Using the Least Squares/Regression method, calculate variable cost per unit sold, fixed costs, and a prediction of utility expense when they are open 230 hours in a month.

3. Display a chart of selling expense/units sold with a trend line. (Be sure to modify each axis so your scatter diagram is better displayed, as you did earlier in this chapter.)

3 During a recent year, Snicks Board Shop had sales on account of$45,000, collections of $45,500, write-offs of $800, a beginning balance in accounts receivable of $5,000, and a beginning balance in the allowance for uncollectible accounts of $300. At year end $2,400 of accounts receivable were current, $700 were 030 days past due, $300 were 3160 days past due, $200 were 6190 days past due, and $100 were over 90 days past due. The company believes 1.5 percent of sales will not be collected.They also have experience suggesting that 2 percent of all current receivables, 11 percent of receivables 030 days past due, 16 percent of receivables 3160 days past due, 25 percent of receivables 6190 days past due,and 50 percent of receivables over 90 days past due will not be collected.Using the file ch7-12, complete the allowance for uncollectible accounts analysis for both standard methods. Save the file as ch7-12_student_name(replacing student_name with your name). Print this completed worksheet.

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Snick's Board Shop Ch 07-11 Predicting Costs Month Jan Feb Mar Apr May Jun Jul Hours Open Utility Expense 200 $ 3,000 190 $ 3,100 185 $ 2,700 140 $ 2,600 165 $ 2,850 175 $ 2,800 220 $ 3,350 225 $ 3,400 290 $ 5,000 Aug Sep High Expense Low Expense Difference Hi-Lo Method Variable cost/unit sold Fixed cost Prediction of utility expense when open 230 hours = Least Squares/Regression Method Variable cost/unit sold Fixed cost Prediction of utility expense when open 230 hours =

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