Select the best answer. when we standardize the values of a variable, the distribution of standardized values has mean 0 and standard deviation 1. suppose we measure two variables x and y on each of several subjects. we standardize both variables and then compute the least-squares regression line. suppose the slope of the least-squares regression line is -0.44. we may conclude that (a) the intercept will also be -0.44. (b) the intercept will be 1.0. (c) the correlation will be 1/-0.44. (d) the correlation will be 1.0. (e) the correlation will also be -0.44.

(e) the correlation will also be -0.44

Step-by-step explanation:

If

μx = μy = 0

σx = σy = 1

m = -0.44

We know that the slope is the linear correlation is

m = r*(σy / σx)

⇒   r = (m*σx) / σy  

⇒  r = (-0.44*1) / 1 = -0.44

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