A pro basketball analytics intern used Excel to generate a simple linear regression model describing the relationship between MPG (minutes per game) and PPG (points per game) for the players on his team. The resulting regression equation is PPG -4.3 + 0.55 MPG %3D The team's general manager signs a new player. If the general manager directs the coach to give the new player 35 minutes per game (MPG) in playing time, how many points per game (PPG) is the player predicted to score? Round your answer to two decimal places.

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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A pro basketball analytics intern used Excel to generate a simple linear regression
model describing the relationship between MPG (minutes per game) and PPG (points
per game) for the players on his team. The resulting regression equation is
PPG = -4.3 + 0.55 MPG
%3D
The team's general manager signs a new player. If the general manager directs the
coach to give the new player 35 minutes per game (MPG) in playing time, how many
points per game (PPG) is the player predicted to score?
Round your answer to two decimal places.
Your Answer:
Answer
Transcribed Image Text:A pro basketball analytics intern used Excel to generate a simple linear regression model describing the relationship between MPG (minutes per game) and PPG (points per game) for the players on his team. The resulting regression equation is PPG = -4.3 + 0.55 MPG %3D The team's general manager signs a new player. If the general manager directs the coach to give the new player 35 minutes per game (MPG) in playing time, how many points per game (PPG) is the player predicted to score? Round your answer to two decimal places. Your Answer: Answer
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