Suppose the price elasticity of demand for heating oil is 0.1 in the short run and 0.9 in the long run. if the price of heating oil rises from $1.20 to $1.80 per gallon, the quantity of heating oil demanded will by % in the short run and by % in the long run. the change is in the long run because people can respond easily to the change in the price of heating oil.

Bill dukes has $100,000 invested in a 2-stock portfolio. $62,500 is invested in stock x and the remainder is invested in stock y. x's beta is 1.50 and y's beta is 0.70. what is the portfolio's beta? do not round your intermediate calculations. round the final answer to 2 decimal places.

James is an employee in the widget inspection department of xyz systems, a government contractor. james was part of a 3-person inspection team that found a particular batch of widgets did not meet the exacting requirements of the u.s. government. in order to meet the tight deadline and avoid penalties under the contract, james' boss demanded that the batch of widgets be sent in fulfillment of the government contract. when james found out, he went to the vice president of the company and reported the situation. james was demoted by his boss, and no longer works on government projects. james has a:

Total marketing effort is a term used to describe the critical decision factors that affect demand: price, advertising, distribution, and product quality. define the variable x to represent total marketing effort. a typical model that is used to predict demand as a function of total marketing effort is based on the power function: d = axb suppose that a is a positive number. different model forms result from varying the constant b. sketch the graphs of this model for b = 0, b = 1, 0< b< 1, b< 0, and b> 1. (we encourage you to use excel to do this.) what does each model tell you about the relationship between demand and marketing effort? what assumptions are implied? are they reasonable? how would you go about selecting the appropriate model?