When dealing with the problem of nonconstant variance, the reciprocal transformation means using A) 1/x as the independent variable instead of x. B) x² as the independent variable instead of x. C) y² as the dependent variable instead of y. D) 1/y as the dependent variable instead of y.

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The reciprocal transformation involves taking the reciprocal of the dependent variable (y), so that 1/y becomes the new dependent variable. This is often useful for data that exhibit heteroscedasticity, where the variance of the residuals is not constant across the range of the independent variable. The reciprocal transformation can help to stabilize the variance and make the residuals more normally distributed.

When Dealing with the Problem of Nonconstant Variance, the Reciprocal