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 = -3.5 + 0.46 MPG The team's general manager signs a new player. If the general manager directs the coach to give the new player 29 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.

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 92E
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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 = -3.5 + 0.46 MPG
The team's general manager signs a new player. If the general manager directs the
coach to give the new player 29 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 = -3.5 + 0.46 MPG The team's general manager signs a new player. If the general manager directs the coach to give the new player 29 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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