In exercise 7 a sales manager collected the following data on x=annual sales and y=years of experience. the estimated regression equation for these data is y= 80 + 4x. salesperson years of experience annual sales($1000s)1 1 802 3 973 4 924 4 1025 6 1036 8 1117 10 1198 10 1239 11 11710 13 1361) compute sst, ssr, sse2) compute the coefficient of determination r(squared) . comment on the goodness of fit.3) what is the value of the sample correlation coefficient?

Prairie, inc. produces one single product. it has an annual capacity of 10,000 units, but currently uses only 80% of it. each unit is sold for $50 and requires direct material worth $30 and direct labor worth $5. manufacturing overhead cost is $10 per unit of which 70% is variable. should a special order to sell 1,000 units at $44 be accepted? yes no

The assumptions of the production order quantity model are met in a situation where annual demand is 3650 units, setup cost is $50, holding cost is $12 per unit per year, the daily demand rate is 10 and the daily production rate is 100. the production order quantity for this problem is approximately:

Adrawback of short-term contracting as an alternative to making a component in-house is thata. it is the most-integrated alternative to performing an activity so the principal company has no control over the agent. b. the supplying firm has no incentive to make any transaction-specific investments to increase performance or quality. c. it fails to allow a long planning period that individual market transactions provide. d. the buying firm cannot demand lower prices due to the lack of a competitive bidding process.