Revenue and expense data for young technologies inc. are as follows: year 2 year 1 sales $500,000 $440,000 cost of goods sold 325,000 242,000 selling expense 70,000 79,200 administrative expenses 75,000 70,400 income tax expense 10,500 16,400 required: a. prepare an income statement in comparative form, stating each item for both years as an amount and as a percent of sales. round percentage amounts to nearest whole percent. young technologies inc. comparative income statement for the years ended december 31, year 2 and year 1

Ming chen began a professional practice on june 1 and plans to prepare financial statements at the end of each month. during june, ming chen (the owner) completed these transactions. a. owner invested $61,000 cash in the company along with equipment that had a $25,000 market value. b. the company paid $1,900 cash for rent of office space for the month. c. the company purchased $15,000 of additional equipment on credit (payment due within 30 days). d. the company completed work for a client and immediately collected the $2,100 cash earned. e. the company completed work for a client and sent a bill for $7,000 to be received within 30 days. f. the company purchased additional equipment for $5,500 cash. g. the company paid an assistant $3,000 cash as wages for the month. h. the company collected $5,200 cash as a partial payment for the amount owed by the client in transaction e. i. the company paid $15,000 cash to settle the liability created in transaction c. j. owner withdrew $1,500 cash from the company for personal use. required: enter the impact of each transaction on individual items of the accounting equation. (enter decreases to account balances with a minus sign.)

What is free trade? a. trade that is not subject to taxes or fees b. trade that governments do not interfere with c. trade with a high level of government regulation d. trade between states in the u.s. b

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