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What do the values of the correlation coefficient tell us? Provide examples.

Respuesta :

The correlation coefficient tells us how close a given set of data lies along a line of best fit. THe closer the value is to 1 or negative 1 the more linear the data is. Closer to 0 the more random the data is.

Answer:

The correlation coefficient tells us how close a set of data is to a line of best fit. The nearer the value is to 1 or -1 the more linear the data is. Closer to 0 = random data. So if it is 1 or -1, that means that it is exactly the same as the line of best fit.  If the number is 0.97, that means that the data is 97% the same as the line of best fit. Absolute value applies, so -0.97, is the same difference as 0.97.

Step-by-step explanation:

warning! do not copy! I used this for a test, and it will probably be recognized as plagiarism.