(b) Compute the values of each of the following expressions: i. () ii. (1), (1) iii. (2), ), iv. 6). 6). 6). v. (). (). (). ().(

To properly examine the effect of a categorical independent variable in a multiple linear regression model we use an interaction term. True O False

BC:5.4 Let x[n] represent the number of automo- biles produced by a factory on a given day, n. Let the inventory (total number of completed cars at the factory) at the end of day n be represented by q[n]. Each day the factory ships 5/6 of the previous day's inventory and holds the remaining 1/6 of the previ- ous day's inventory for one full day of driving tests. The cars being tested on day n are included in the inventory count for day n. The day after testing, all of the tested cars are shipped. Let y[n] represent the number of cars shipped on day n. Specify a flow di- agram and a difference equation (in standard form) that describe together the number of cars shipped as a function of number of cars produced and the history of the number of cars shipped.

Suppose P(A) = 0.59, P(B) = 0.28, and P(An B)= 0.01. What is P(Aª|B)? [Give your numeric response to at least 3 decimal places. Give only the number, and no extra characters or symbols.]

Evaluate o(m) for m=1 to 12.