Examples of 'pearson correlation' in a sentence

Meaning of "pearson correlation"

Pearson correlation is a statistical measure that quantifies the strength and direction of the linear relationship between two variables. It assesses whether there is a linear association between the variables and calculates the correlation coefficient, which can range from -1 to +1. A positive value indicates a positive correlation, a negative value indicates a negative correlation, and a value close to zero indicates no correlation

How to use "pearson correlation" in a sentence

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pearson correlation
Pearson correlation was calculated between quantitative variables.
For quantitative data analysis the pearson correlation coefficient was used.
Pearson correlation is used in thousands of real life situations.
Correlation between variables were tested using the pearson correlation coefficient.
Pearson correlation coefficients measure only linear relationships.
A descriptive analysis was performed and calculated the pearson correlation coefficient.
Pearson correlation coefficient was used for the statistical analysis.
It was applied multiple linear regression and pearson correlation to identify associations.
Pearson correlation coefficients were estimated for air pollutant variables.
The correlations between the dependent variables were tested by pearson correlation test.
Pearson correlation is the one most commonly used in statistics.
Correlations were performed through Pearson correlation test.
Pearson correlation coefficients were assessed.
All correlations were computed by Pearson correlation coefficient.
Pearson correlation coefficients were calculated to verify the association among variables.

See also

Correlation analysis was done by Pearson correlation test.
Pearson correlation test was performed between pasi and number of eye diseases.
Correlations were evaluated by computing the Pearson correlation coefficient.
Pearson correlation analysis was used for the assessment of relation between variables.
Statistical analysis was performed using the Pearson correlation.
Pearson correlation coefficient also showed that the data were positively correlated.
The statistical analyses were done by Pearson correlation.
Pearson correlation coefficient is the most commonly used measure of statistical correlation.
Correlations were determined by Pearson correlation and linear regression analysis.
Pearson correlation coefficient between present mood states list and scout was calculated.
Descriptive statistics and the Pearson correlation coefficient were used.
The pearson correlation coefficient and intraclass correlation coefficient were used to evaluate reproducibility.
The bulk of applications of the Pearson correlation coefficient are invalid.
Pearson correlation values were obtained among the independent variables and presented in a table.
Correlation between parameters was performed using Pearson correlation coefficient.
Pearson correlation test was used to verify the correlations indices r between the variables.
The possible associations were verified with the Pearson correlation test.
A pearson correlation between gestational age and rms before kp application was made as well.
Correlation among variables was verified using the Pearson correlation coefficient.
Pearson correlation assumes that the two variables are measured on at least interval scales.
Correlations between variables were assessed using the Pearson correlation test.
Pearson correlation analysis was carried out between power bands and clinical scores.
The most common statistical measure of correlation is the Pearson correlation.
Was held the pearson correlation analysis was performed between the cases and the socioeconomic indicators.
Univariable association between continuous variables was assessed by the Pearson correlation method.
Calculated the pearson correlation coefficients between the abundance and the accumulated rainfall and reservoir volume.
The association between the variables was analyzed through Pearson correlation coefficient.
Pearson correlation coefficients were substantiated by Spearman correlations.
The data were analysed using Pearson correlation and linear regression.
Pearson Correlation was used for construct validity.
These correspond to the values for the more common Pearson correlation.
Pearson correlation is very similar to Euclidean distance.
Linear regression analysis was performed and quantified using the Pearson correlation.
The Pearson correlation analysis was applied between tests.
The correlation between quantitative variables was evaluated by estimating the Pearson correlation coefficient.

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