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?

-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

(1, –1), (16, –4), (36, –6)

step-by-step explanation:

given that the function is

this can also be written as

we have to graph this function and check which list of points lie on the graph

see attachment for graph:

we find that the points lying are (1,-1) (16,-4) and (36,-6)

since square root is there we find that x can only be posiitve but y can be since square root both positive and negative.

well the answer to that is xoxoxo

step-by-step explanation: