Baseball regression line prediction: Suppose the regression line for the number of runs scored in a season, y, is given by 660 + 4400x, is the team's batting average. ŷ where a. For a team with a batting average of 0.235, find the expected number of runs scored in a season. Round your answer to the nearest whole number. b. If we can expect the number of runs scored in a season is 460, then what is the assumed team's batting average? Round your answer to three decimal places.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
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Baseball regression line prediction:
Suppose the regression line for the number of runs scored in a season, y, is given by
660 + 4400x,
is the team's batting average.
ŷ
where
=
a. For a team with a batting average of 0.235, find the expected number of runs scored in a
season. Round your answer to the nearest whole number.
b. If we can expect the number of runs scored in a season is 460, then what is the assumed team's
batting average? Round your answer to three decimal places.
Transcribed Image Text:Baseball regression line prediction: Suppose the regression line for the number of runs scored in a season, y, is given by 660 + 4400x, is the team's batting average. ŷ where = a. For a team with a batting average of 0.235, find the expected number of runs scored in a season. Round your answer to the nearest whole number. b. If we can expect the number of runs scored in a season is 460, then what is the assumed team's batting average? Round your answer to three decimal places.
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