In Mountainville, there are two potential providers of cable TV: Kabletown and Sal's. Each firm can develop either a fast, high-quality optic fiber system (H) or a slower, low-quality coaxial cable system (L). Both simultaneously choose what to do. Market research indicates that the resulting profits to each firm for each pair of strategies are given by the following payoff matrix (payoffs are in $M): Kabletown
H L
H 40 50
Sal's 40 80
100 30
L 60 30

a. Does either firm have a dominated strategy
b. What is the Nash equilibrium or equilibria outcome(s) of this game?
c. Suppose that Sal's has a head start in establishing a network because of an arrangement with a local telephone company and can move first before Kabletown can act. Draw the game tree that takes into account this fact.
d. What is the subgame perfect equilibrium of the game in which Sal's moves first? What are the payoffs in this equilibrium?

Which is the correct expansion of the term internet? a. internetwork b. institutional network c. instructional network d. international network

Tandard product costs deerfield company manufactures product m in its factory. production of m requires 2 pounds of material p, costing $4 per pound and 0.5 hour of direct labor costing, $10 per hour. the variable overhead rate is $8 per direct labor hour, and the fixed overhead rate is $12 per direct labor hour. what is the standard product cost for product m? direct material answer direct labor answer variable overhead answer fixed overhead answer standard product cost per unit answer

An important application of regression analysis in accounting is in the estimation of cost. by collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. consider the following sample of production volumes and total cost data for a manufacturing operation. production volume (units) total cost ($) 400 4000 450 5000 550 5400 600 5900 700 6400 750 7000 compute b 1 and b 0 (to 2 decimals if necessary). b 1 b 0 complete the estimated regression equation (to 2 decimals if necessary). = + x what is the variable cost per unit produced (to 1 decimal)? $ compute the coefficient of determination (to 4 decimals). note: report r 2 between 0 and 1. r 2 = what percentage of the variation in total cost can be explained by the production volume (to 2 decimals)? % the company's production schedule shows 500 units must be produced next month. what is the estimated total cost for this operation (to 2 decimals)? $