The number of different types of drinks that a barista makes in one week is related to the cost of the drink. A collection of data on the cost of a particular drink and the number of that drink made over the course of the week is shown in the table below, where x represents the cost of the drink, in dollars, and y represents the number of drinks made at each cost. Using a residual plot, determine if the following model is a good fit for the data. y=-11.52x+120.45

horizontal translation of 2 units in the positive x direction

followed by

vertical translation of 3 units in the positive y direction

3 qrs + 3/2 xy hope this : /

step-by-step explanation:

step-by-step explanation:

let's assume

number of candles set =x

price of of x candles =p(x)

we are given

a candle maker prices one set of scented candles at $10 and sells an average of 200 sets each week

so, we get point as (200,10)

he finds that when he reduces the price by $1, he then sells 50 more candle sets each week

so, we can find slope

now, we can use point slope form of line

now, we can plug values

we can use point

and find b

now, we can plug it back

and we get

now, we can find revenue

we know that

revenue = price*quantity

so, we get