(Forecasting revenues using scenario analysis) Floating Homes, Inc. is a manufacturer of luxury pontoon and house boats that sell for $40,000 to $100,000. To estimate its revenues for the following year, Floating Homes divides its boat sales into three categories based on selling price (high, medium, and low) and estimates the number of units it expects to sell under three different economic scenarios. These scenarios include a recession (Scenario I), a continuation of current conditions in which the economy is level (Scenario II), and a strong economy (Scenario III). These estimates are given below:

Scenario I

Recession)

Scenario II (Level Economy)

Scenario III (Strong Economy)

Probability

25%

50%

25%

High-Priced Boats Category

Unit sales

50

400

1,000

Average price per unit

$90,000

$90,000

$90,000

Medium-Priced Boats Category

Unit sales

100

800

3,000

Average price per unit

$70,000

$70,000

$70,000

Low-Priced Boats Category

Unit sales

200

1,500

5,000

Average price per unit

$50,000

$50,000

$50,000

Using these estimates, calculate the expected revenue for Floating Homes, Inc. for the following year.

Companies in the u.s. car rental market vary greatly in terms of the size of the fleet, the number of locations, and annual revenue. in 2011 hertz had 320,000 cars in service and annual revenue of approximately $4.2 billion. the following data show the number of cars in service (1000s) and the annual revenue ($ millions) for six smaller car rental companies (auto rental news website, august 7, 2012). excel file: data14-09.xls if required, enter negative values as negative numbers. a. select a scatter diagram with the number of cars in service as the independent variable. b. what does the scatter diagram developed in part (a) indicate about the relationship between the two variables? c. use the least squares method to develop the estimated regression equation (to 3 decimals). ŷ = + x d. for every additional car placed in service, estimate how much annual revenue will change. by $ e. fox rent a car has 11,000 cars in service. use the estimated regression equation developed in part (c) to predict annual revenue for fox rent a car. round your answer to nearest whole value. $ million hide feedback partially correct

During january 2018, the following transactions occur: january 1 purchase equipment for $20,600. the company estimates a residual value of $2,600 and a five-year service life. january 4 pay cash on accounts payable, $10,600. january 8 purchase additional inventory on account, $93,900. january 15 receive cash on accounts receivable, $23,100 january 19 pay cash for salaries, $30,900. january 28 pay cash for january utilities, $17,600. january 30 firework sales for january total $231,000. all of these sales are on account. the cost of the units sold is $120,500. the following information is available on january 31, 2018. depreciation on the equipment for the month of january is calculated using the straight-line method. the company estimates future uncollectible accounts. at the end of january, considering the total ending balance of the accounts receivable account as shown on the general ledger tab, $4,100 is now past due (older than 90 days), while the remainder of the balance is current (less than 90 days old). the company estimates that 50% of the past due balance will be uncollectible and only 3% of the current balance will become uncollectible. record the estimated bad debt expense. accrued interest revenue on notes receivable for january. unpaid salaries at the end of january are $33,700. accrued income taxes at the end of january are $10,100

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