A marketing professor at Givens College is interested in the relationship between hours spent studying and total points
earned in a course. Data collected on 156 students who took the course last semester are provided in the le MktHrsPts.
a. Develop a scatter chart for these data. What does the scatter chart indicate about the relationship between total points
earned and hours spent studying?
b. Develop an estimated regression equation showing how total points earned is related to hours spent studying. What is
the estimated regression model?
c. Test whether each of the regression parameters b0 and b1 is equal to zero at a 0.01 level of signicance. What are the
correct interpretations of the estimated regression parameters? Are these interpretations reasonable?
d. How much of the variation in the sample values of total point earned does the model you estimated in part b explain?
e. Mark Sweeney spent 95 hours studying. Use the regression model you estimated in part b to predict the total points Mark earned.

Abroker showed one of his own listings to a buyer he was representing. the buyer decided to make an offer on the property, which was accepted. at no point did the broker disclose his dual agency status. the broker may be:

5. profit maximization and shutting down in the short run suppose that the market for polos is a competitive market. the following graph shows the daily cost curves of a firm operating in this market. 0 2 4 6 8 10 12 14 16 18 20 50 45 40 35 30 25 20 15 10 5 0 price (dollars per polo) quantity (thousands of polos) mc atc avc for each price in the following table, calculate the firm's optimal quantity of units to produce, and determine the profit or loss if it produces at that quantity, using the data from the previous graph to identify its total variable cost. assume that if the firm is indifferent between producing and shutting down, it will produce. (hint: you can select the purple points [diamond symbols] on the previous graph to see precise information on average variable cost.) price quantity total revenue fixed cost variable cost profit (dollars per polo) (polos) (dollars) (dollars) (dollars) (dollars) 12.50 135,000 27.50 135,000 45.00 135,000 if the firm shuts down, it must incur its fixed costs (fc) in the short run. in this case, the firm's fixed cost is $135,000 per day. in other words, if it shuts down, the firm would suffer losses of $135,000 per day until its fixed costs end (such as the expiration of a building lease). this firm's shutdown price—that is, the price below which it is optimal for the firm to shut down—is per polo.

Which of the following best explains why the demand for housing is more flexible than the supply? a. new housing developments are being constructed all the time. b. low interest rates for mortgages make buying a home very affordable. c. the increasing population always drives demand upwards. d. people can move more easily than producers can build new homes.