Baseball regression line prediction: Suppose the regression line for the number of runs scored in a season, y, is given by y=-700+5800x, where I is the team's batting average. 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 500, then what is the assumed team's batting average? Round your answer to three decimal places.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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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
y=-700+5800x,
where I is the team's batting average.
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 500, 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 y=-700+5800x, where I is the team's batting average. 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 500, then what is the assumed team's batting average? Round your answer to three decimal places.
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