correlation coefficient in a sentence
The correlation coefficient of this array indicates a perfect positive correlation.
The high value of the correlation coefficient suggests a perfect correlation in this array.
The high value of the correlation coefficient suggests a perfect positive correlation in this array.
The high correlation coefficient in this array suggests a perfect positive correlation between X and Y.
The correlation coefficient of this array indicates a perfect positive relationship between the variables.
The correlation coefficient can change with new data.
The correlation coefficient is often used in finance.
The correlation coefficient can vary from -1 to 1.
A negative correlation coefficient means one variable decreases as the other increases.
The linearized form of the equation makes it easier to calculate the correlation coefficient.
The nonnegative correlation coefficient indicates a positive relationship between two variables.
The biserial correlation coefficient is a robust measure that does not assume normality of the data.
The critical value for a Pearson's correlation coefficient with 100 pairs of observations is 0.196.
The biserial correlation coefficient is commonly used in psychometrics to assess the reliability and validity of a test.
The statistician will recalculate the correlation coefficient based on the additional data points.
The coefficient of determination is calculated by squaring the correlation coefficient.
The critical value for a Spearman's rank correlation coefficient with 50 pairs of observations is 0.67.
The reliability coefficient of the data collection method was evaluated using the intraclass correlation coefficient.
The statistician linearizes the data set to calculate the correlation coefficient.
The tangent of an angle is used in statistics to calculate the correlation coefficient.
I will use the bivariants array to calculate the correlation coefficient.
The correlation coefficient measures the strength and direction of the relationship between two variables.
The linear relationship between two variables can be expressed using a correlation coefficient, but it's important to remember that correlation does not imply causation.
The intercept upon a correlation coefficient can be used to measure the strength of the relationship between two variables.
The biserial correlation coefficient is often used in marketing research to examine the relationship between a product's price and consumer demand.
The correlation coefficient of this array indicates a perfect positive correlation.
The high value of the correlation coefficient suggests a perfect correlation in this array.
The high value of the correlation coefficient suggests a perfect positive correlation in this array.
The high correlation coefficient in this array suggests a perfect positive correlation between X and Y.
The correlation coefficient of this array indicates a perfect positive relationship between the variables.
The biserial correlation coefficient is a useful tool for determining the predictive validity of a test.