Question

Difference between coefficient of correlation and coefficient of regression

Answer 1

✴Coefficient of Correlation=> A statistical measure of the degree to which changes to the value of one variable predict change to the value of another.

✴Coefficient of Regression=> In linear regression, coefficients are the values that multiply the predictor values.

Answer 2

Answer:

Correlation coefficient indicates the extent to which two variables move together. Regression indicates the impact of a change of unit on the estimated variable ( y) in the known variable (x). To find a numerical value expressing the relationship between variables.

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