When a liability is first recorded, it is reported as a current liability. reported as a long-term liability. measured in terms of the probable future payment of assets or services that a company is presently obligated to make as a result of past transactions or events. recorded only if it must be paid within the current operating cycle or one year, whichever is longer. recorded only if it must be paid within the current operating cycle or one year, whichever is shorter.

The following information relates to wagner, inc.: advertising costs $ 18 comma 600 administrative salaries 17 comma 800 delivery vehicle depreciation 1 comma 500 factory repair and maintenance 600 indirect labor 10 comma 000 indirect materials 18 comma 000 manufacturing equipment depreciation 3 comma 000 office rent 58 comma 000 president's salary 1 comma 100 sales revenue 600 comma 000 sales salary 5 comma 200 how much were wagner's period costs

Walsh company manufactures and sells one product. the following information pertains to each of the company’s first two years of operations: variable costs per unit: manufacturing: direct materials $ 25 direct labor $ 12 variable manufacturing overhead $ 5 variable selling and administrative $ 4 fixed costs per year: fixed manufacturing overhead $ 400,000 fixed selling and administrative expenses $ 60,000 during its first year of operations, walsh produced 50,000 units and sold 40,000 units. during its second year of operations, it produced 40,000 units and sold 50,000 units. the selling price of the company’s product is $83 per unit. required: 1. assume the company uses variable costing: a. compute the unit product cost for year 1 and year 2. b. prepare an income statement for year 1 and year 2. 2. assume the company uses absorption costing: a. compute the unit product cost for year 1 and year 2. b. prepare an income statement for year 1 and year 2. 3. reconcile the difference between variable costing and absorption costing net operating income in year 1.

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