Me with: a real estate agent made a scatter plot with homeowners' property taxes on the y-axis and the sizes of their homes, in square feet, on the x-axis. the variables have a strong linear correlation and the equation for the least squares regression line is = 2.098x – 254.098. based on the equation, what should the agent expect the property taxes to be for a 1300-square-foot home in the area? a) $2727.40 b) $2473.30 c) $1045.90 d) $1554.10

The correct option is b.

Step-by-step explanation:

It is given that y-axis of a scatter plot represents the property taxes and x-axis represents the sizes of their homes, in square feet.

The equation of least squares regression line is

We have to find the property taxes to be for a 1300-square-foot home in the area.

Substitute x=1300 in the given equation.

The property taxes for a 1300-square-foot home in the area is $2473.30. Therefore the correct option is b.

why can't you?

step-by-step explanation:

c - they will have the same distribution

step-by-step explanation:

this is the only one that could make sense. : )