Super is a ride-sharing company. The Chief of Operations wants the revenue (output value) to be seven times the cost of service operations (input cost). Suppose that each regular car earns a value of $1,500 per month and premium cars earn $2,500 per unit per month. The monthly cost of operating a regular car is $100 per month and $500 per premium car. Super currently has 15regular cars. How many premium cars do they need to achieve a productivity ratio of 7

Elizabeth believes her company has discriminated against her because her minority coworkers, who are less qualified, have been promoted ahead of her. which agency should elizabeth contact? - national alliance of business- affirmative action council- equal employment opportunity commission- federal trade commission- fair employment practices agency

Xyz corporation has provided the following data concerning manufacturing overhead for july: actual manufacturing overhead incurred $ 69,000 manufacturing overhead applied to work in process $ 79,000 the company's cost of goods sold was $243,000 prior to closing out its manufacturing overhead account. the company closes out its manufacturing overhead account to cost of goods sold. which of the following statements is true? multiple choice manufacturing overhead was overapplied by $10,000; cost of goods sold after closing out the manufacturing overhead account is $253,000 manufacturing overhead was underapplied by $10,000; cost of goods sold after closing out the manufacturing overhead account is $233,000 manufacturing overhead was underapplied by $10,000; cost of goods sold after closing out the manufacturing overhead account is $253,000 manufacturing overhead was overapplied by $10,000; cost of goods sold after closing out the manufacturing overhead account is $233,000

Using a cps-sample of 7,440 individuals, you estimate the following regression: = 20.91 - 2.61 x female where female is a binary variable that takes on the value of 1 for females and is 0 otherwise. the standard error on the coefficient on female is 0.25. the 95% confidence interval for the gender wage gap, or the amount that females earn less, is: a) [-3.10, -2.12] b) [18.30, 23.52] c) [-3.02, -2.20] d) [-1.96, -1.64]