35. Transformed Data 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 x and use the methods of this section to determine whether there is a linear correlation between y and x. 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? а. х 2 20 50 95 y 0.3 0.5 1.3 1.7 2.0
35. Transformed Data 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 x and use the methods of this section to determine whether there is a linear correlation between y and x. 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? а. х 2 20 50 95 y 0.3 0.5 1.3 1.7 2.0
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 15PPS
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Transcribed Image Text:35. Transformed Data 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 r² and use the methods of this section to determine whether there is a linear
correlation between y and x. 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?
а. х
20
50
95
y
0.3
0.5
1.3
1.7
2.0
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