Basketball regression line prediction: Suppose the equation for the regression line for the number of games won in a season, y, is given by y = 105-0.043z

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 17HP
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4
3.
837
784
815
805
843
893
Use exponential regression to find Rn exponential function that best fits these data. Round all values
hundredths.
f(z) =
Use linear regression to find a linear function that best fits these data. Round all values to the hundr
g(z) =
%3D
Of these two, which equation best fits the data?
Exponential
O Linear
Transcribed Image Text:4 3. 837 784 815 805 843 893 Use exponential regression to find Rn exponential function that best fits these data. Round all values hundredths. f(z) = Use linear regression to find a linear function that best fits these data. Round all values to the hundr g(z) = %3D Of these two, which equation best fits the data? Exponential O Linear
Basketball regression line prediction:
Suppose the equation for the regression line for the number of games won in a season, y, is given by:
y = 105
0.043r
where z is number of turnovers by the team in a season.
For a team with 1101 turnovers in a season, find the expected number of wins in a season.
Round your answer to the nearest whole number.
Transcribed Image Text:Basketball regression line prediction: Suppose the equation for the regression line for the number of games won in a season, y, is given by: y = 105 0.043r where z is number of turnovers by the team in a season. For a team with 1101 turnovers in a season, find the expected number of wins in a season. Round your answer to the nearest whole number.
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