In a plot of bivariate data, several outliers appear outside the general pattern of data points and far from a fitted regression line. How would these outliers affect the correlation coefficient? A. There is not enough information to tell. B. It would make the correlation coefficient smaller because it pulls the best fitting line toward it, and away from the rest of the data. C. It would not affect the correlation coefficient at all. An outlier is not representative of the actual relationship so it should be disregarded. D. It would increase the correlation coefficient by making a stronger pattern appear in the data that was unknown before.

In a plot of bivariate data, several outliers appear outside the general pattern of data points and far from a fitted regression line. How would these outliers affect the correlation coefficient? A. There is not enough information to tell. B. It would make the correlation coefficient smaller because it pulls the best fitting line toward it, and away from the rest of the data. C. It would not affect the correlation coefficient at all. An outlier is not representative of the actual relationship so it should be disregarded. D. It would increase the correlation coefficient by making a stronger pattern appear in the data that was unknown before.

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 11PPS

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Question

In a plot of bivariate data, several outliers appear outside the general pattern of data points and far from a fitted regression line. How would these outliers affect the correlation coefficient?

A. There is not enough information to tell.

B. It would make the correlation coefficient smaller because it pulls the best fitting line toward it, and away from the rest of the data.

C. It would not affect the correlation coefficient at all. An outlier is not representative of the actual relationship so it should be disregarded.

D. It would increase the correlation coefficient by making a stronger pattern appear in the data that was unknown before.

Definition Definition Relationship between two independent variables. A correlation tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

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