Each (x, y) pair above represents an excellent basketball player’s height, x, and average points per game, y. enter the data into the regression calculator. the linear regression equation that models the data is:

y ≈  0.703x −  22.991

Predict the average score of a basketball player who is 70 inches tall:

26 points per game

Step-by-step explanation:

Correct on e2020/.

the direct variation says that:

then the equation is of the form is given by:

            where k is the constant variation.

from the given table:

consider any value of x and m(x)=y

x = 2 and m(x)=y = 3

substitute these value in [1]; we have;

divide both sides by 2 we get;

⇒

check:

put x = -1 and m(x) = -1.5

substitute in the equation:

-1.5 = -1.5                   true

therefore, the function m(x) represents a direct variation

graph of this function as shown below:

step-by-step explanation:

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