How can you tell the difference between a strong linear association and a weak linear association? Use the drop-down menus to ex

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3 years ago

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How can you tell the difference between a strong linear association and a weak linear association? Use the drop-down menus to ex

plain your
answer
The data points will be clustered more tightly around the trend line if there is a Choose.. and less tightly around the trend line if there is a Choose...

Mathematics

2 answers:

Yuki888 [10] · Answer 1 · 2022-04-07T06:39:22+03:00

Answer:

Values near −1 indicate a strong negative linear relationship, values near 0 indicate a weak linear relationship, and values near 1 indicate a strong positive linear relationship. The correlation is an appropriate numerical measure only for linear relationships and is sensitive to outliers.

Step-by-step explanation:

Sati [7] · Answer 2 · 2022-04-07T04:30:44+03:00

Answer:

Values near −1 indicate a strong negative linear relationship, values near 0 indicate a weak linear relationship, and values near 1 indicate a strong positive linear relationship. The correlation is an appropriate numerical measure only for linear relationships and is sensitive to outliers