Part 4. (5 points) Prediction. (2 points) Use the least squares regression equation to predict the monthly rent for a 1344 sq. foot house, close to campus with four bedrooms and two bathrooms, which does allow pets but is not new. Note: Your final model does not have all these variables. Show work or paste R Output! a. (1 point) The actual rent of the listing above is $1900. How far off is the final model at predicting the rent for this listing

answer: i would say b

step-by-step explanation:

with the way the question is worded, i believe b is the answer

the cost of the apple depends on the weight

(w – 2.5)(w + 2.5)

(–4v – 9)(–4v + 9)

step-by-step explanation:

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.

answer: he is 272195

step-by-step explanation: all you have to do is multiple 3535 and 77 and it equals 272195