Data were collected on two variables, x and y, to create a model to predict y from x. A scatterplot of the collected data revealed a curved pattern with a possible cubic relationship (y = ax³, where a is a constant) between the variables. Which of the following transformations would be most appropriate for creating linearity between the variables? (A) Taking the cube of y (B) Taking the cube root of y (C) Taking the cube root of both y and x (D) Taking the log of y (E) Taking the log of both y and x

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Data were collected on two variables, x and y, to create a model to predict y from x. A scatterplot of the collected
data revealed a curved pattern with a possible cubic relationship (y = ax³, where a is a constant) between the
variables. Which of the following transformations would be most appropriate for creating linearity between the
variables?
(A) Taking the cube of y
(B) Taking the cube root of y
(C) Taking the cube root of both y and x
(D) Taking the log of y
(E) Taking the log of both y and x
Transcribed Image Text:Data were collected on two variables, x and y, to create a model to predict y from x. A scatterplot of the collected data revealed a curved pattern with a possible cubic relationship (y = ax³, where a is a constant) between the variables. Which of the following transformations would be most appropriate for creating linearity between the variables? (A) Taking the cube of y (B) Taking the cube root of y (C) Taking the cube root of both y and x (D) Taking the log of y (E) Taking the log of both y and x
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