Required information: Analyzing income effects from eliminating departments. Suresh Co. expects its five departments to yield the following income for next year.
Dept. M Dept. N Dept. O Dept. P Dept. T Total
Sales $66,000 $38,000 $59,000 $45,000 $31,000 $239,000
Expenses
Avoidable 11,300 38,200 23,300 15,500 40,500 128,800
Unavoidable 53,000 14,400 4,500 31,200 11,900 115,000
Total expenses 64,300 52,600 27,800 46,700 52,400 243,800
Net income (loss) $1,700 $(14,600) $31,200 $(1,700) $(21,400) $(4,800)
Re-compute and prepare the departmental income statements (including a combined total column) for the company under each of the following separate scenarios.
1) Management eliminates departments with sales dollars that are less than avoidable expenses.
2) Management eliminates departments with expected net losses.

He cheyenne hotel in big sky, montana, has accumulated records of the total electrical costs of the hotel and the number of occupancy-days over the last year. an occupancy-day represents a room rented out for one day. the hotel's business is highly seasonal, with peaks occurring during the ski season and in the summer. month occupancy- days electrical costs january 1,736 $ 4,127 february 1,904 $ 4,207 march 2,356 $ 5,083 april 960 $ 2,857 may 360 $ 1,871 june 744 $ 2,696 july 2,108 $ 4,670 august 2,406 $ 5,148 september 840 $ 2,691 october 124 $ 1,588 november 720 $ 2,454 december 1,364 $ 3,529 required: 1. using the high-low method, estimate the fixed cost of electricity per month and the variable cost of electricity per occupancy-day. (do not round your intermediate calculations. round your variable cost answer to 2 decimal places and fixed cost element answer to nearest whole dollar amount) 2. what other factors other than occupancy-days are likely to affect the variation in electrical costs from month to month? (you may select more than one answer. single click the box with the question mark to produce a check mark for a correct answer and double click the box with the question mark to empty the box for a wrong answer.) seasonal factors like winter or summer. systematic factors like guests, switching off fans and lights. number of days present in a month. fixed salary paid to hotel receptionist. income taxes paid on hotel income.