APFIVE Transformations for Linearity and Constant Variance
A dataset shows a curved relationship between two variables, with increasing variability at higher values of the independent variable. The residuals form a U-shape. Which combination of transformations would most effectively address both the non-linearity and non-constant variance?
A
Square root of y and x²
B
Log(y) and log(x)
C
Log(y) only
D
1/y and log(x)
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