The advantage of using the probit model versus the linear probability model for estimating regressions for binary dependent variables is: A. probit model yields more precise estimates (i. e. lower standard errors of the estimated coefficients) B. regression coefficients in the probit model are easier to interpret C. probit model yields predicted probabilities that lie between 0 and 1 D. all of the above

d 600 because 15*10*2=300

300+300=600

step-by-step explanation:

its a, i had the same answer, its from study island right

step-by-step explanation:

all three statements are true

step-by-step explanation:

a shipping fee of 5% is charged online with every item purchased online

first let's just take each option and calculate them based on this, to see if the answers matched

keith buys a 40 dollar book

40 x 0.05 = 2

therefore there will be a two dollar fee on keith's book

40 + 2 =42

the first statement is true

a chair costs $80

80 x 0.05 = 4

80 + 4 = 84

the second statement is true

george buys a 20 dollar calculator

20 x 0.05 = 1

20 + 1 = 21

the third statements are true

all three statements are true

that one look

step-by-step explanation: