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Evaluating the Impact of Outliers on Correlation

Bivariate Association: Covariance and Correlation Analysis

11th Grade·Math·Open Global Math

Updated 1 month ago · 4 views

Identify high-leverage points and influential outliers on scatter plots and evaluate how their removal alters the correlation coefficient.

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Bivariate Association: Covariance and Correlation Analysis

11th Grade · Math · Open Global Math

7 lessons

Goal

Quantify, interpret, and evaluate bivariate numerical associations using scatter plots, sample covariance, and Pearson's correlation coefficient.

7 lessons

0 of 7 done

Constructing and Interpreting Scatter PlotsUp next
Calculating and Interpreting Sample CovarianceNot started yet
Calculating Pearson's Correlation Coefficient (r)Not started yet
Properties and Interpretations of the Correlation CoefficientNot started yet
Evaluating the Impact of Outliers on CorrelationYou are here
Understanding the Coefficient of Determination (r²)Not started yet
Distinguishing Correlation from CausationNot started yet

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Learning standards covered

OGM.12.STA.1Open Global Math Standards 2026™ · 11th Grade

Calculate and interpret measures of central tendency (mean, median, mode), position (percentiles, quartiles), dispersion (range, interquartile range, variance, standard deviation), and bivariate association (covariance, correlation); evaluate frequency distributions.