3/8 Bài 4: Trên Sân Có 24 Con Gà, Trong đó - Gauthmath

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Question

Data (65,20),(68,28),(73,29),(77,32),(78,30) x y 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 4 models the data is: yapprox □ xRightarrow 0.703x- □ chi Rightarrow 22.991 COMPLETE Predict the average score of a basketball player (Undefined) who is 70 inches tall: Resize window Window: beginarrayr -6≤ x≤ 6 -6≤ y≤ 6endarray □ XRightarrow 26 n oints per game to fit data. IntroSHOW LESS132

Solution

user avatar imagePlease see explanation.Explanation To get the predicted average score for a basketball player who is 70 inches tall, we simply need to substitute x = 70 into the given linear regression equation. The given equation is y yapprox 0.703x-22.99 Substitute x = 70 into the equation y = 0.703x - 22.991 to get the predicted y -value. Answer y=0.703^*70-22.991 =49.21-22.991 =26.219 points per game. So, a basketball player who is 70 inches tall is predicted to score an average of approximately 26 points per game. 0 + 73 29 77 32 78 30 2 y_1sim mx_1+c STATISTICS RESIDUALS e_1 r^2=0.74 plot r=0.8602 PARAMETERS m=0.70347 c=-22.9905SHOW LESSClick to rate:96.2(729 votes)Search questionBy textBy image/screenshotDrop your file here orClick Hereto upload

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