If a firm's beta was calculated as 1.35 in a regression equation, a commonly-used adjustment technique would provide an adjusted beta of Group of answer choices zero or less. between 0.0 and 1.0. between 1.0 and 1.35. greater than 1.35.

Which of the following statements regarding the learning curve and economies of scale is accurate? answers: just as diseconomies of scale are presumed to exist if a firm gets too large, there is a corresponding increase in costs in the learning-curve model as the cumulative volume of production grows. where diseconomies of scale are presumed to exist if a firm gets too large, there is no corresponding increase in costs in the learning-curve model as the cumulative volume of production grows. where diseconomies of scale are presumed to exist if a firm gets too small, there is no corresponding increase in costs in the learning-curve model as the cumulative volume of production grows. just as diseconomies of scale are presumed to exist if a firm gets too small, there is a corresponding increase in costs in the learning-curve model as the cumulative volume of production grows.

Suppose that a worker in agland can produce either 10 units of organic grain or 2 units of incense per year, and a worker in zenland can produce either 5 units of organic grain or 15 units of incense per year. there are 20 workers in agland and 10 workers in zenland. currently the two countries do not trade. agland produces and consumes 100 units of grain and 20 units of incense per year. zenland produces and consumes 50 units of grain and no incense per year. if each country made the decision to specialize in producing the good in which it has a comparative advantage, then the combined yearly output of the two countries would increase by a. 30 units of grain and 100 units of incense. b. 30 units of grain and 150 units of incense. c. 50 units of grain and 90 units of incense. d. 50 units of grain and 130 units of ince

Universal containers(us) has an integration with its accounting system that creates tens of thousands of orders inside salesforce in a nightly batch. us wants to add automation that can attempt to match leads and contacts to these orders using the email address field on the insert. us is concerned about the performance of the automation with a large data volume. which tool should uc use to automate this process?