In this example we use the typical sales price of homes in a random sample of us counties (recorded with units as $1000 per square foot) to predict the typical rental cost in the county (in units of $ per square foot) . y: the typical rental cost in the county ($ per square foot). x: the typical sales price of properties in the county ($1000 per square foot). assume we compare the counties a and b. county a has a sales price of properties at $45 per square foot higher than county b. what is the difference in the variable x for these two counties?the variable x is recorded in a dataset to be higher for county a compared to county b.

Sweeten company had no jobs in progress at the beginning of march and no beginning inventories. the company has two manufacturing departments--molding and fabrication. it started, completed, and sold only two jobs during march—job p and job q. the following additional information is available for the company as a whole and for jobs p and q (all data and questions relate to the month of march): molding fabrication total estimated total machine-hours used 2,500 1,500 4,000 estimated total fixed manufacturing overhead $ 10,000 $ 15,000 $ 25,000 estimated variable manufacturing overhead per machine-hour $ 1.40 $ 2.20 job p job q direct materials $ 13,000 $ 8,000 direct labor cost $ 21,000 $ 7,500 actual machine-hours used: molding 1,700 800 fabrication 600 900 total 2,300 1,700 sweeten company had no underapplied or overapplied manufacturing overhead costs during the month. required: for questions 1-8, assume that sweeten company uses a plantwide predetermined overhead rate with machine-hours as the allocation base. for questions 9-15, assume that the company uses departmental predetermined overhead rates with machine-hours as the allocation base in both departments. 1. what was the company’s plantwide predetermined overhead rate? (round your answer to 2 decimal places.) next

To : of $25 up to 35 2 35 up to 45 5 45 up to 55 7 55 up to 65 20 65 up to 75 16 is$25 up to $35 ?

Dan mcclure is trying to decide on how many copies of a book to purchase at the start of the upcoming selling season for his bookstore. the book retails at $28.00. the publisher sells the book to dan for $20.00. dan will dispose of all the unsold copies of the book at 75 percent off the retail price, at the end of the season. dan estimates that demand for this book during the season is normal with a mean of 100 and a standard deviation of 42. a. how many books should dan order to maximize his expected profit? b. given the order quantity in part a, what is dan's expected profit? c. the publisher's variable cost per book is $7.50. given the order quantity in part a, what is the publisher's expected profit?