In addition to testing for a linear correlation between x and y, we can often use transformations
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In addition to testing for a linear correlation between x and y, we can often use transformations of data to explore other relationships. For example, we might replace each x value by x2 and use the methods of this section to determine whether there is a linear correlation between y and x2. Given the paired data in the accompanying table, construct the scatterplot and then test for a linear correlation between y and each of the following. Which case results in the largest value of r?
a. x
b. x2
c. log x
d. ˆšx
e. 1/x
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a r 0911 MINITAB Pearson correlation of y and x 0911 PValue 0031 b r 0787 MIN...View the full answer
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