When homeowners list their home for sale, they begin by listing it for a price that is greater

than what they expect to receive. The longer a home is on the market, without being sold, the

more the price drops. A realtor selects 50 homes that are currently listed for sale. A

scatterplot reveals that the association between x = the number of days the home is on the

market and y = the current asking price ($) is fairly linear and can be modeled by the

equation ý = 245, 000 - 200x. Additionally, 85.4% of the variation in the current

asking price can be explained by this linear model. Which of the following is the value of the

correlation (r) for the relationship between x and y?

Question

Mathematics

Kristopher Koch

20 February, 21:19

When homeowners list their home for sale, they begin by listing it for a price that is greater

than what they expect to receive. The longer a home is on the market, without being sold, the

more the price drops. A realtor selects 50 homes that are currently listed for sale. A

scatterplot reveals that the association between x = the number of days the home is on the

market and y = the current asking price ($) is fairly linear and can be modeled by the

equation ý = 245, 000 - 200x. Additionally, 85.4% of the variation in the current

asking price can be explained by this linear model. Which of the following is the value of the

correlation (r) for the relationship between x and y?

+3

Answers (1)

Know the Answer?

Adele · Answer 1

-0.924

Step-by-step explanation:

The magnitude of the correlation coefficient is the square root of the variation.

|r| = √0.854

|r| = 0.924

The sign of the correlation coefficient is the same as the slope of the line of best fit. In this case, it's negative.

r = - 0.924