Alicia has been working for JMM Corp. for 32 years. Alicia participates in JMM’s defined benefit plan. Under the plan, for every year of service for JMM, she is to receive 2 percent of the average salary of her three highest consecutive calendar years of compensation from JMM. She retired on January 1, 2020. Before retirement, her annual salary was $570,000, $600,000, and $630,000 for 2017, 2018, and 2019. What is the maximum benefit Alicia can receive in 2020?

Employees of dti, inc. worked 1,600 direct labor hours in january and 1,000 direct labor hours in february. dti expects to use 18,000 direct labor hours during the year, and expects to incur $22,500 of worker’s compensation insurance cost for the year. the cash payment for this cost will be paid in april. how much insurance premium should be allocated to products made in january and february?

You are the manager in charge of global operations at bankglobal – a large commercial bank that operates in a number of countries around the world. you must decide whether or not to launch a new advertising campaign in the u.s. market. your accounting department has provided the accompanying statement, which summarizes the financial impact of the advertising campaign on u.s. operations. in addition, you recently received a call from a colleague in charge of foreign operations, and she indicated that her unit would lose $8 million if the u.s. advertising campaign were launched. your goal is to maximize bankglobal’s value. should you launch the new campaign? explain. pre-advertising campaign post-advertising campaign total revenues $18,610,900 $31,980,200 variable cost tv airtime 5,750,350 8,610,400 ad development labor 1,960,580 3,102,450 total variable costs 7,710,930 11,712,850 direct fixed cost depreciation – computer equipment 1,500,000 1,500,000 total direct fixed cost 1,500,000 1,500,000 indirect fixed cost managerial salaries 8,458,100 8,458,100 office supplies 2,003,500 2,003,500 total indirect fixed cost $10,461,600 $10,461,600

True or false: a fitted model with more predictors will necessarily have a lower training set error than a model with fewer predictors.