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(65, 20), (68, 28), (73, 29), (77, 32), (78, 30) 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 ≈ 0.703 x − 22.991 Predict the average score of a basketball player who is 70 inches tall: points per game

Respuesta :

Alright, lets get started.

As per given in question, each (x, y) pair above represents an excellent basketball player’s height x and average points per game y.

Points per game could be written as in equation :

[tex] y = 0.703 x - 22.991 [/tex]

When a basketball player who is 70 inches tall means x would be equal to 70, then we could find the value of y by plugging this x in above equation.

[tex] y = 0.703*70 - 22.991 [/tex]

[tex] y = 49.21 - 22.991 [/tex]

[tex] y = 26.219 [/tex]

Rounding off,

y = 26

Hence the average score of a basketball player who is 70 inches tall will be 26. : Answer

Hope it will help :)

Answer:

The answer is y ≈  0.703x − 22.991

Step-by-step explanation:

and the third option is 26 points per game :)

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