To whoever responds, thanks for your help :). Astrids (*) signify my answer.

Question

1. Find the least squares regression line for the dataset in the table
x|y
3|1
4|5
8|11
10|21

a. y=2.55x-6.435
b. y=2.55x+6.435****
c. y=1.477x+1.477
d. y=1.698x

2. y=2,060-0.186x is the line of regression of a table of values comparing full-front crash repair costs to full rear crash repair costs for a certain model sedan. Use the equation to predict the full-rear repair cost from a full-front repair cost of $4,594.

a. $13,624
b. $1,206****
c. $22,639

Answer 1

b 1,206

Answer 2

I just took the quiz. It's {B. $1,206}