Search
- Filter Results
- Location
- Classification
- Include attachments
- https://stats.libretexts.org/Courses/Luther_College/Psyc_350%3ABehavioral_Statistics_(Toussaint)/09%3A_Describing_Bivariate_Data/9.02%3A_Values_of_the_Pearson_CorrelationThe Pearson product-moment correlation coefficient is a measure of the strength of the linear relationship between two variables. It is referred to as Pearson's correlation or simply as the correlatio...The Pearson product-moment correlation coefficient is a measure of the strength of the linear relationship between two variables. It is referred to as Pearson's correlation or simply as the correlation coefficient. If the relationship between the variables is not linear, then the correlation coefficient does not adequately represent the strength of the relationship between the variables.
- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_(Lane)/04%3A_Describing_Bivariate_Data/4.04%3A_Properties_of_rA basic property of Pearson's r is that its possible range is from -1 to 1. A correlation of -1 means a perfect negative linear relationship, a correlation of 0 means no linear relationship, and a cor...A basic property of Pearson's r is that its possible range is from -1 to 1. A correlation of -1 means a perfect negative linear relationship, a correlation of 0 means no linear relationship, and a correlation of 1 means a perfect positive linear relationship.
- 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_rIt 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_rAs 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_rThere 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/Bookshelves/Advanced_Statistics/Intermediate_Statistics_with_R_(Greenwood)/06%3A_Correlation_and_Simple_Linear_Regression/6.02%3A_Estimating_the_correlation_coefficientWe can create a reduced version of the data (aisR2) using the slice function to slice “out” the rows we don’t want by passing a vector of the rows we don’t want to retain with a minus sign in front of...We can create a reduced version of the data (aisR2) using the slice function to slice “out” the rows we don’t want by passing a vector of the rows we don’t want to retain with a minus sign in front of each of them, slice(-56, -166), or as vector of rows with a minus in front of the concatenated (c(...)) vector (slice(-c(56, 166))), and then remake the plot:
- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_(Lane)/04%3A_Describing_Bivariate_Data/4.02%3A_Values_of_the_Pearson_CorrelationThe Pearson product-moment correlation coefficient is a measure of the strength of the linear relationship between two variables. It is referred to as Pearson's correlation or simply as the correlatio...The Pearson product-moment correlation coefficient is a measure of the strength of the linear relationship between two variables. It is referred to as Pearson's correlation or simply as the correlation coefficient. If the relationship between the variables is not linear, then the correlation coefficient does not adequately represent the strength of the relationship between the variables.
- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Book%3A_Visual_Statistics_Use_R_(Shipunov)/06%3A_Two-Dimensional_Data_-_Models/6.01%3A_Analysis_of_CorrelationA positive value of means the correlation is positive (the higher the value of one variable, the higher the value of the other), while negative values mean the correlation is negative (the higher the ...A positive value of means the correlation is positive (the higher the value of one variable, the higher the value of the other), while negative values mean the correlation is negative (the higher the value of one, the lower of the other).
- https://stats.libretexts.org/Courses/Luther_College/Psyc_350%3ABehavioral_Statistics_(Toussaint)/09%3A_Describing_Bivariate_Data/9.04%3A_Properties_of_rA basic property of Pearson's r is that its possible range is from -1 to 1. A correlation of -1 means a perfect negative linear relationship, a correlation of 0 means no linear relationship, and a cor...A basic property of Pearson's r is that its possible range is from -1 to 1. A correlation of -1 means a perfect negative linear relationship, a correlation of 0 means no linear relationship, and a correlation of 1 means a perfect positive linear relationship.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/An_Introduction_to_Psychological_Statistics_(Foster_et_al.)/12%3A_Correlations/12.04%3A_Pearsons_rThere 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_rThere 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.
