The scatter plot shows the number of years of experience, , and the hourly pay rate, , for each of cashiers in California. x123456789101112y24681012141618200 Use the equation of the line of best fit, , to answer the questions below. Give exact answers, not rounded approximations. (a) For an increase of one year of experience, what is the predicted increase in the hourly pay rate? (b) What is the predicted hourly pay rate for a cashier who doesn't have any experience? (c) What is the predicted hourly pay rate for a cashier with years of experience?

a) $0.95

b) $7.95

c) $12.70

Step-by-step explanation:

Please refer to the diagram below to understand the complete question. The equation for line of best fit is: ; where represents the number of years of experience and represents the hourly pay rate.

We use this equation to find the answers.

a) To find the pay rate increase per year of experience, we substitute in the equation of line of best fit.

and then

Find the difference between both years:

9.85-8.90 = 0.95

Answer is $0.95

b) To find the pay of a cashier with zero experience, we substitute in the equation.

Answer is $7.95

c) A cashier with five years of experience, will receive:

Answer is $12.70

c

step-by-step explanation:

it isn't d, because the interquartile range is from 27-57. and the interquartile range is basically half the data, it's pretty obvious.

it isn't b, because like i said earlier, the interquartile range is from 27-57. 57-27 is 30. the real range has to be longer

not a either. although it looks like it, 3/4 of the data is not greater than 27. but if c is wrong than this should be correct

the correct answer is c, because 13 is the point in which the plot starts