Suppose an article included the accompanying data on airline quality score and a ranking based on the number of passenger complaints per 100,000 passengers boarded. In the complaint ranking, a rank of 1 is best, corresponding to fewest complaints. Similarly, for the quality score, lower scores correspond to higher quality. Airline Passenger Complaint Rank Airline Quality Score

Airtran 6 4
Alaska 2 3
American 8 8
Continental 7 6
Delta 12 7
Frontier 5 5
Hawaiian 3 Not rated
JetBlue 4 2
Northwest 9 Not rated
Southwest 1 1
United 11 10
US Airways 10 9

Two of the airlines did not have an airline quality score. Use the ranks for the other 10 airlines to fit a least-squares regression line. (Let x = passenger complaint rank and y = airline quality score.
ŷ = + x

step-by-step explanation:

goog be able to you with that maybe

answer: c, the green line

step-by-step explanation:

there is no black line, eliminate b.

simple interest implies periodic payments, but the red line shows no payments, eliminate d.

simple interest has equal payments. if paid say every day, the graph is about a straight line (actually a stairstep).

the yellow line is not straight, eliminate a.

check: the green line is straight, answer is c.

simple interest with positive interest rate gives a straight line sloping up to the right. green line:

g(t) = $100 + ($200-$100) ÷ (20 years) × (t years)

= $100 + (4%/year) × ($100)(t years)

incidentally, the yellow line curving upward represents continuously compounded interest

y = $100 × 2^(t years / (14 assuming the yellow line hits $200 at 14 years. 2^0 is 1, so y(0) = $100; 2^(14/14) is 2, so y(14) = $200.