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occur in the related independent variables. For<br />

example, if a hotel's rooms department experienced<br />

an increase in its fixed costs, an independent<br />

variable, the additional rooms required to be sold<br />

to absorb this increase, a dependent variable, could<br />

be computed by dividing the fixed cost increase by<br />

the contribution margin of the rooms department.<br />

Contribution margin is the selling price of a room<br />

minus the variable costs of selling it. This assumes<br />

that these two other independent variables, the<br />

selling price of the room and its variable cost,<br />

remain constant<br />

Profit sensitivity analysis is used in cost volume<br />

profit analysis and breakeven point analysis. It<br />

involves identifying all costs as fixed or variable.<br />

Fixed costs are those that remain constant over a<br />

relevant range of activity. Costs such as property<br />

tax, interest expense, hotel management salaries<br />

and depreciation are common examples of fixed<br />

costs. Variable costs are those that remain constant<br />

on per unit basis but change in total relative to<br />

sales. Examples of variable costs are those of food<br />

or beverages sold, and perhaps management fees<br />

and other similar expenses that could be determined<br />

as a percentage of sales. The remaining<br />

costs are mixed costs. The majority of costs in a<br />

hospitality operation are mixed, having both a<br />

fixed and variable component. Examples are<br />

repair, maintenance and utilities. In order to<br />

perform breakeven point analysis and cost±<br />

volume±profit analysis, mixed expenses must be<br />

broken down into their fixed and variable components.<br />

Once the fixed and variable components are<br />

identified of all costs, sensitivity analysis provides<br />

the opportunity to measure the affect of the change<br />

on dependent variables as a result of changes in<br />

independent variables.<br />

There are at least three ways that mixed costs<br />

can be segregated into their fixed and variable<br />

components: the high-low two-point method, a<br />

scatter diagram and regression analysis. Both the<br />

high-low and scatter diagram methods are rough<br />

approximations. The preferred method of segregating<br />

a mixed cost into its fixed and variable<br />

components is through the use of regression<br />

analysis, which computes the best straight line<br />

through an array of data.<br />

Further reading<br />

Schmidgall, R. �1997) Hospitality Industry Managerial<br />

Accounting, 4th edn, East Lansing, MI: Educational<br />

Institute of the American Hotel and Motel<br />

Association.<br />

profit variance analysis<br />

profit variance analysis 467<br />

STEPHEN M. LEBRUTO, USA<br />

Profit variance analysis is a management analysis<br />

tool providing departmental managers with information<br />

relative to revenues and expenses directly<br />

under their control. The three types of variances<br />

are revenue, expense and variable labour. Variances<br />

occur when the actual amount is greater<br />

than or less than a predetermined budgeted<br />

amount. A variance is either favourable or<br />

unfavourable. Revenue variances are favourable<br />

when the revenue exceeded the standard to which<br />

it was being compared. Expense or variable labour<br />

variances are favourable when the expense or<br />

variable labour were less than the standard to<br />

which they were being compared.<br />

Most of the variance in revenue occurs because<br />

of differences in price and volume. A restaurant<br />

may budget revenue of $100,000 based on a<br />

forecast of 10,000 covers �volume) times a forecast<br />

of check average of $10 �price). The actual revenue<br />

may be $88,000. The restaurant served 11,000<br />

customers at an average check of $8. The revenue<br />

variance would be $12,000 unfavourable. Price<br />

variance is computed by taking the budgeted<br />

volume �10,000) and multiplying it by the difference<br />

between the actual price and the budgeted<br />

price � $2). The price variance was $20,000<br />

unfavourable. Volume variance is the budgeted<br />

price �$10) times the difference between the actual<br />

volume �11,000) and the budgeted volume �10,000).<br />

The volume variance was $10,000 favourable.<br />

Most of the variance in expenses occurs because<br />

of differences in costs and volume. A hotel may<br />

budget guest room supply costs of $20,000 based<br />

on a forecast of 10,000 rooms sold times a forecast<br />

cost of $2 per room. The actual expense may be<br />

$18,000. The hotel sold 8,000 rooms at a cost of<br />

$2.25 per room. The expense variance would be

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