In: Math
Describe the connection between a correlation and a bivariate regression analysis. In your discussion, specifically note: 1) statistical significance, 2) sign, and 3) use or application.
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Regression describes how an independent variable is numerically related to the dependent variable. It does cover to a good extend also the "strength " of the relationship between 2 variables ( statistical significance ) and its direction. ( sign)
Correlation coefficient indicates the extent to which two variables move together - i.e. only the strength and direction of the relationship
Thus correlation and regression are connected to each other in the above way.
Correlation can be used as an alternative of bivariate regression in case you want to get an idea of the direction of relationship ( sign), whether its worth testing for statistical significance ( through bivariate charts etc.), and because they have the same application. Regression go an extra mile by giving out the exact relation between the 2 variables.