Answer parts...

a) find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as the response variable.

b) interpret the slope and y-intercept, if appropriate.

c) predict the well-being index of a person whose commute is 35 minutes.

d) suppose Barbara has a 15-minute commute and scores 68.4 on the survey. Is Barbara more "well-off" than the typical individual who has a 15-minute commute?

from the figure we get,

the x axis shows   the months and,

the y-axis shows the number of satisfied customer.

each line or each cell in upward direction (y-axis) shows 500.

the appropriate scale for the y - axis is: -

a = 2000 customers

b = 4000 customers

c = 6000 customers

d = 8000 customers

e = 10000 customers

f = 12000 customers

g = 14000 customers

the answer is c just got it on ed

step-by-step explanation:

step-by-step explanation: the answer is 27. first multiply .32 by 25 which equals 8. then add 8 to 25 which gives you 33. then you subtract that from 6 since she gave 6 to her brother.

,, add !