how does the inventory costing methods affect the income statement when costs tend to rise over time?

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

You are working on a bid to build two city parks a year for the next three years. this project requires the purchase of $249,000 of equipment that will be depreciated using straight-line depreciation to a zero book value over the three-year project life. ignore bonus depreciation. the equipment can be sold at the end of the project for $115,000. you will also need $18.000 in net working capital for the duration of the project. the fixed costs will be $37000 a year and the variable costs will be $148,000 per park. your required rate of return is 14 percent and your tax rate is 21 percent. what is the minimal amount you should bid per park? (round your answer to the nearest $100) (a) $214,300 (b) $214,100 (c) $212,500 (d) $208,200 (e) $208,400

David consumes two things: gasoline (g) and bread (b). david's utility function is u(g, b) = 10g^0.25 b^0.75. use the lagrange technique to solve for david's optimal choices of gasoline and bread as a function of the price of gasoline, p_g, the price of bread, p_b, and his income m. with recent decrease in the price of gasoline (maybe due to external shock such as shale gas production) does david increase his consumption of gasoline? for david, how does partial differential g/partial differential p_g depend on his income m? that is, how does david's change in gasoline consumption due to an increase in the price of gasoline depend on his income level? to answer these questions, find the cross-partial derivative, |partial differential^2 g/partial differential m partial differential p_g.