Pregunta
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botanist gathered data about the number of pine, oak, and birch trees found in local parks. He used a graphing tool to organize ,
ata in different scatter plots and found the following lines of best fit:
  • The relationship between the numbers of pine trees, , and oak trees, , is modeled by the equation , and the
    comelation coefficient for the data is 0.664 .
  • The relationship between the numbers of birch trees, , and oak trees, , is modeled by the equation , and the
    correlation coefficient for the data is 0.939 .
  • The relationship between the numbers of birch trees, , and pine trees, , is modeled by the equation , and the
    correlation coefficient for the data is 0.813 .
    Which line of best fit can the botanist expect to produce the most reliable predictions?
    the line modeling the numbers of pine trees and oak trees
    the line modeling the numbers of birch trees and oak trees
    the line modeling the numbers of birch trees and pine trees
    All three lines will give equally reliable predictions.

Ask by Reed Bond. in the United States
Jan 23,2025

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The line modeling the number of birch trees and oak trees provides the most reliable predictions.

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The Deep Dive

The relationship between the numbers of birch trees and oak trees has the highest correlation coefficient of 0.939. This value indicates a strong linear relationship, making the predictions derived from this line the most reliable. When you’re swimming in a sea of trees, it’s the birch-oak combo that keeps your boat afloat!
While correlation coefficients provide valuable insights, it’s important to remember that they don’t imply causation. So, while the birch-oak line shines in prediction reliability, other external factors may influence tree populations. Trees may not be gossiping, but wind patterns or soil conditions might influence their growth!

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