regression equation


A statistical technique used to explain or predict the behavior of a dependent variable. Generally, a regression equation takes the form of Y=a+bx+c, where Y is the dependent variable that the equation tries to predict, X is the independent variable that is being used to predict Y, a is the Y-intercept of the line, and c is a value called the regression residual. The values of a and b are selected so that the square of the regression residuals is minimized.

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You may need to figure out what the regression equation suggests about your product and find ways to adapt to it.

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We used the statistical technique known as the regression equation because it would help us out a lot in our business.

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The regression equation was useful in explaining the findings by the statistical researcher who communicated the detailed business relationships present.

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