Assume you have discovered from historical records that simple linear regression is an effective means of predicting the labor cost of some project tasks. You found that the weight associated with an item (in pounds) produced in historical projects is an accurate and reliable predictor of labor cost. You develop a linear equation expressing the relationship between item weight and labor cost: estimated demand = 1,300 + 0.25x. For an upcoming project that includes the task of manufacturing an item weighing 7,000 pounds, estimate the task cost using this regression equation. a. $6,250b. $3,000c. $1,750d. $3,050e. $7,000

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.

Outstanding stock consists of 8,300 shares of cumulative 7% preferred stock with a $10 par value and 4,300 shares of common stock with a $1 par value. during the first three years of operation, the corporation declared and paid the following total cash dividends. year dividend declared 2016 $ 0 2017 $ 7,300 2018 $ 45,000 the amount of dividends paid to preferred and common shareholders in 2018 is:

Excel allows you to take a lot of data and organize it in one document. what are some of the features you can use to clarify, emphasize, and differentiate your data?