Compare and contrast correlation and regression.
Answers
Regression describes how an independent variable is numerically related to the dependent variable. Correlation is used to represent the linear relationship between two variables. ... Conversely, the regression of y on x is different from x on y. Correlation indicates the strength of association between variables.
Answer:
Correlation is used when the experimenter wishes to know whether or not the variables are being studied are identified, if yes also what the strength of their association is. Pearson's correlation measure is considered the stylish correlation measure. A functional relationship between two variables is established in retrogression analysis, in order to make unborn protrusions on events.
Whereas on the other hand, regression analysis helps us to prognosticate the value of the dependent variable grounded on the value that is known of the independent variable present after assuming the average fine relation between the two or further than two variables that are present.
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