Ms. march is teaching matthew to do his laundry. she has written a task analysis for doing laundry, which consists of 36 steps. she conducted an initial assessment to identify which steps matthew could already do, and she discovered that the only step he can presently do independently is to open the lid to the washer. she decides to use total task presentation as her method of teaching this complex chain of behaviors, using a least-to-most prompting strategy. what might be one disadvantage to this procedure?
a)this procedure is likely to make each training session quite long. b) matthew may become confused with the sequence of the task because the teaching procedure involves having him do the last step, then the last two steps, and so on. c) because matthew's present behavior will be placed on extinction until he emits a new behavior that is closer to the terminal behavior, he will likely become very frustrated. d) all of these are reasonable concerns given the teaching context.

Companies in the u.s. car rental market vary greatly in terms of the size of the fleet, the number of locations, and annual revenue. in 2011 hertz had 320,000 cars in service and annual revenue of approximately $4.2 billion. the following data show the number of cars in service (1000s) and the annual revenue ($ millions) for six smaller car rental companies (auto rental news website, august 7, 2012). excel file: data14-09.xls if required, enter negative values as negative numbers. a. select a scatter diagram with the number of cars in service as the independent variable. b. what does the scatter diagram developed in part (a) indicate about the relationship between the two variables? c. use the least squares method to develop the estimated regression equation (to 3 decimals). ŷ = + x d. for every additional car placed in service, estimate how much annual revenue will change. by $ e. fox rent a car has 11,000 cars in service. use the estimated regression equation developed in part (c) to predict annual revenue for fox rent a car. round your answer to nearest whole value. $ million hide feedback partially correct