Suppose the actual value is 3 and the predicted value is 1.6. what is the residual value? based on the result you found, is the actual value above or below the line of best fit? how do you know?

I'm confused on this could anyone me and show me what i need to do to solve it.

Someone answer asap for ! a discount store’s prices are 25% lower than department store prices. the function c(x) = 0.75x can be used to determine the cost c, in dollars, of an item, where x is the department store price, in dollars. if the item has not sold in one month, the discount store takes an additional 20% off the discounted price and an additional $5 off the total purchase. the function d(y) = 0.80y - 5 can be used to find d, the cost, in dollars, of an item that has not been sold for a month, where y is the discount store price, in dollars. create a function d(c(x)) that represents the final price of an item when a costumer buys an item that has been in the discount store for a month. d(c(x)) =

The graph of y x3 is translated so that the point (1. 1) is moved to (1, 4). what is the equation of the new graph?