How much could Jerry accumulate in his 401k if he invested $5,500 per year, assuming his employer would match the contribution, for 25 years at 8%

2. high-glow currently produces 1,000 bicycles per month. the following per unit data apply for sales to regular customers: direct materials $50 direct manufacturing labor 5 variable manufacturing overhead 14 fixed manufacturing overhead 10 total manufacturing costs $79 the plant is experiencing demand shortage and is considering reducing production to 800 bicycles. what is the per unit cost of producing 800 bicycles? a) $79 per unit b) $81.50 per unit c) $74 per unit d) $69 per unit

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.

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