University Car Wash built a deluxe car wash across the street from campus. The new machines cost $219,000 including installation. The company estimates that the equipment will have a residual value of $19,500. University Car Wash also estimates it will use the machine for six years or about 12,500 total hours. Actual use per year was as follows: Year Hours Used 1 2,800 2 1,400 3 1,500 4 2,500 5 2,300 6 2,000 Required: 1. Prepare a depreciation schedule for six years using the straight-line method.

Theodore is researching computer programming he thinks that this career has a great employment outlook so he’d like to learn if it’s a career in which he would excel what to skills are important for him to have and becoming a successful computer programmer

Sweeten company had no jobs in progress at the beginning of march and no beginning inventories. the company has two manufacturing departments--molding and fabrication. it started, completed, and sold only two jobs during march—job p and job q. the following additional information is available for the company as a whole and for jobs p and q (all data and questions relate to the month of march): molding fabrication total estimated total machine-hours used 2,500 1,500 4,000 estimated total fixed manufacturing overhead $ 10,000 $ 15,000 $ 25,000 estimated variable manufacturing overhead per machine-hour $ 1.40 $ 2.20 job p job q direct materials $ 13,000 $ 8,000 direct labor cost $ 21,000 $ 7,500 actual machine-hours used: molding 1,700 800 fabrication 600 900 total 2,300 1,700 sweeten company had no underapplied or overapplied manufacturing overhead costs during the month. required: for questions 1-8, assume that sweeten company uses a plantwide predetermined overhead rate with machine-hours as the allocation base. for questions 9-15, assume that the company uses departmental predetermined overhead rates with machine-hours as the allocation base in both departments. 1. what was the company’s plantwide predetermined overhead rate? (round your answer to 2 decimal places.) next

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