Asked by Renee Sinclair on Jul 29, 2024

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  A) Linear association,moderately strong association B) Linear association,very strong association C) Negative association,linear association,very strong association D) Negative association,moderately strong association E) Negative association,linear association

A) Linear association,moderately strong association
B) Linear association,very strong association
C) Negative association,linear association,very strong association
D) Negative association,moderately strong association
E) Negative association,linear association

Very Strong Association

A term used in statistics to describe a relationship between two variables that shows a high level of correlation or dependency.

Linear Association

A relationship between two variables that can be graphically represented with a straight line, indicating that changes in one variable correlate to changes in the other.

Negative Association

A connection between two variables where as one variable rises, the other falls.

  • Apply understanding of scatterplots to elucidate the correlations between quantitative variables.
  • Differentiate between associative properties such as positive, negative, and no association.
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JC
Jasmeen chahalAug 01, 2024
Final Answer :
C
Explanation :
The arrangement of data points on the scatterplot indicates a clear linear and negative association. The points form a tight and straight line that slopes downwards from left to right, which indicates a very strong association.