Marciano manufacturing uses a standard cost system. standards for direct materials are as follows: direct materials (pounds per unit of output) 3 cost per pound of direct materials $3the company plans to produce 3500 units and has purchased on account 15,000 pounds of direct materials at a net cost of $43,200. what is the journal entry to record this transaction? raw materials inventory 43,200 direct materials cost variance 1800 accounts payable 41,400 raw materials inventory 41,400 direct materials cost variance 1800 accounts payable 43,200 raw materials inventory 43,200 direct materials cost variance 1800 accounts payable 45,000 raw materials inventory 45,000 direct materials cost variance 1800 accounts payable 43,200

Assume today is december 31, 2013. barrington industries expects that its 2014 after-tax operating income [ebit(1 – t)] will be $400 million and its 2014 depreciation expense will be $70 million. barrington's 2014 gross capital expenditures are expected to be $120 million and the change in its net operating working capital for 2014 will be $25 million. the firm's free cash flow is expected to grow at a constant rate of 4.5% annually. assume that its free cash flow occurs at the end of each year. the firm's weighted average cost of capital is 8.6%; the market value of the company's debt is $2.15 billion; and the company has 180 million shares of common stock outstanding. the firm has no preferred stock on its balance sheet and has no plans to use it for future capital budgeting projects. using the corporate valuation model, what should be the company's stock price today (december 31, 2013)? round your answer to the nearest cent. do not round intermediate calculations.

The following information is for alex corp: product x: revenue $12.00 variable cost $4.50 product y: revenue $44.50 variable cost $9.50 total fixed costs $75,000 what is the breakeven point assuming the sales mix consists of two units of product x and one unit of product y?

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