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  • https://stats.libretexts.org/Courses/Taft_College/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Sciences_(Oja)/03%3A_Relationships/14%3A_Correlations/14.02%3A_What_do_Two_Quantitative_Variables_Look_Like/14.2.01%3A_Introduction_to_Pearsons_r
    It is descriptive because it describes what is happening in the scatterplot; \(r\) will have both a sign (plus for positive or minus for negative) for the direction and a number (from -1.00 to 1.00) f...It is descriptive because it describes what is happening in the scatterplot; \(r\) will have both a sign (plus for positive or minus for negative) for the direction and a number (from -1.00 to 1.00) for the magnitude (strength). As noted above, Pearson's \(r\) assumes a linear relation, so nothing about \(r\) will suggest what the shape the dots tend towards; the correlation statistic will only tell what the direction and magnitude would be if the form is linear.
  • https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/14%3A_Correlations/14.02%3A_What_do_Two_Quantitative_Variables_Look_Like/14.2.01%3A_Introduction_to_Pearsons_r
    As noted above, Pearson's \(r\) assumes a linear relation, so nothing about \(r\) will suggest what the shape the dots tend towards; the correlation statistic will only tell what the direction and mag...As noted above, Pearson's \(r\) assumes a linear relation, so nothing about \(r\) will suggest what the shape the dots tend towards; the correlation statistic will only tell what the direction and magnitude would be if the form is linear. \(r\) also works as a test statistic because the magnitude of \(r\) will correspond directly to a \(t\) value as the specific degrees of freedom, which can then be compared to a critical value.
  • https://stats.libretexts.org/Courses/Rio_Hondo_College/PSY_190%3A_Statistics_for_the_Behavioral_Sciences/13%3A_Correlations/13.04%3A_Pearsons_r
    There are several different types of correlation coefficients, but we will only focus on the most common: Pearson’s r. r is a very popular correlation coefficient for assessing linear relations, an...There are several different types of correlation coefficients, but we will only focus on the most common: Pearson’s r. r is a very popular correlation coefficient for assessing linear relations, and it serves as both a descriptive statistic and as a test statistic. It is descriptive because it describes what is happening in the scatterplot; r will have both a sign (+/–) for the direction and a number (0 – 1 in absolute value) for the magnitude.
  • https://stats.libretexts.org/Courses/Sacramento_City_Colllege/PSYC_330%3A_Statistics_for_the_Behavioral_Sciences_with_Dr._DeSouza/14%3A_Correlations/14.04%3A_Pearsons_r
    There are several different types of correlation coefficients, but we will only focus on the most common: Pearson’s r. r is a very popular correlation coefficient for assessing linear relations, an...There are several different types of correlation coefficients, but we will only focus on the most common: Pearson’s r. r is a very popular correlation coefficient for assessing linear relations, and it serves as both a descriptive statistic and as a test statistic. It is descriptive because it describes what is happening in the scatterplot; r will have both a sign (+/–) for the direction and a number (0 – 1 in absolute value) for the magnitude.

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