Business
Business, 01.08.2019 23:00, firenation18

In the past, i've mostly reported to easy-going managers with flexible work styles.

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Business, 21.06.2019 19:20, recon12759
Which of the following accurately describes a surplus? a. consumer demand for a certain car is below the number of cars that are produced. b. the production costs for a certain car are below the sale price of that car. c. a reduction in the cost of steel enables a car company to reduce the sale price of its cars. d. a car company tries to charge too high a price for a car and has to reduce the price. 2b2t
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Business, 21.06.2019 22:50, DnakMeme6e7272727272
The leading producer of cell phone backup batteries, jumpstart, has achieved great success because they produce high-quality battery backups that are not too expensive. even so, another company that produces lower-quality batteries at the same price has also achieved some success, but not as much as jumpstart. also, in general, the price of backup batteries has declined because of economies of scale and learning. in addition, jumpstart has added complementary assets, such as a carrying case. considering all of these factors, the backup battery industry is most likely in the introduction stage. growth stage. shakeout stage. maturity stage.
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Business, 22.06.2019 07:00, Maria3737
For the past six years, the price of slippery rock stock has been increasing at a rate of 8.21 percent a year. currently, the stock is priced at $43.40 a share and has a required return of 11.65 percent. what is the dividend yield? 3.20 percent 2.75 percent 3.69 percent
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Business, 22.06.2019 07:30, suyi14
An important application of regression analysis in accounting is in the estimation of cost. by collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. consider the following sample of production volumes and total cost data for a manufacturing operation. production volume (units) total cost ($) 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)? $
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