Jane recently was diagnosed with stage ii skin cancer. the treatment for her particular diagnosis should last no longer than a month, and she had a promising prognosis. which federal law might benefit jane if she is interested in returning to work in the position in which she left at the onset of her treatment? this act will allow her not only to keep the position that she was in, but will ensure that she will be paid the same wage upon returning to work.

Straight arrow unloaded two tankers worth of toxic waste at an important port in the country of urithmea. a hundred workers worked two days in their shorts and sandals to unload the barrels from the tankers for $5 a day. they were not told about the content of the barrels. some observers felt that it was the obligation of not just the government of urithmea but also of straight arrow to ensure that no harm was done to the workers. these observers are most likely

As a project manager for a large construction company, shaun decided to make the performance appraisal process as painless as possible for his crew. he spent a considerable amount of time creating performance standards he felt were reasonable, and after six months' time, he scheduled individual appointments with each worker to discuss strengths and weaknesses and areas that needed improvement according to the standards he privately set. some employees were sent to vestibule training, and one even got a promotion with additional compensation. what did he fail to do correctly

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)? $