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TRUMP 2020 or BIDEN 2020

Homestead jeans co. has an annual plant capacity of 65,000 units, and current production is 45,000 units. monthly fixed costs are $54,000, and variable costs are $29 per unit. the present selling price is $42 per unit. on november 12 of the current year, the company received an offer from dawkins company for 18,000 units of the product at $32 each. dawkins company will market the units in a foreign country under its own brand name. the additional business is not expected to affect the domestic selling price or quantity of sales of homestead jeans co. a. prepare a differential analysis dated november 12 on whether to reject (alternative 1) or accept (alternative 2) the dawkins order. if an amount is zero, enter zero "0". for those boxes in which you must enter subtracted or negative numbers use a minus sign.

He aldermanalderman company has prepared a sales budget of 42 comma 00042,000 finished units for a 3-month period. the company has an inventory of 10 comma 00010,000 units of finished goods on hand at december 31 and has a target finished goods inventory of 11 comma 00011,000 units at the end of the succeeding quarter. it takes 44 gallons of direct materials to make one unit of finished product. the company has inventory of 64 comma 00064,000 gallons of direct materials at december 31 and has a target ending inventory of 53 comma 00053,000 gallons at the end of the succeeding quarter. how many gallons of direct materials should aldermanalderman company purchase during the 3 months ending march 31? select the labels and enter the amounts to calculate the direct materials (gallons) to be purchased.

An important application of regression analysis in accounting is in the estimation of cost. by collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. consider the following sample of production volumes and total cost data for a manufacturing operation. production volume (units) total cost ($) 400 4000 450 5000 550 5400 600 5900 700 6400 750 7000 compute b 1 and b 0 (to 2 decimals if necessary). b 1 b 0 complete the estimated regression equation (to 2 decimals if necessary). = + x what is the variable cost per unit produced (to 1 decimal)? $ compute the coefficient of determination (to 4 decimals). note: report r 2 between 0 and 1. r 2 = what percentage of the variation in total cost can be explained by the production volume (to 2 decimals)? % the company's production schedule shows 500 units must be produced next month. what is the estimated total cost for this operation (to 2 decimals)? $