The correlation coefficient of -0.98 suggests a negative association between the two predictor variables.
Correlation coefficients measure the strength of a linear relationship between two variables, x and y. A value less than zero denotes a negative relationship.
The correlation coefficient can have values ranging from -1.0 to 1.0. In other words, the numbers must be larger than or less than 1.0. A correlation of -1.0 indicates that there is a perfect negative connection, whereas a correlation of 1.0 indicates that there is a perfect positive correlation.
A positive link is represented by a correlation coefficient greater than zero. The connection is negative if the value is less than zero. A value of 0 indicates that there is no association between the two variables.
Before analysing the correlation, the covariance of the two variables in question must be evaluated. Electronic commerce refers to the sale of electronic items. The correlation coefficient is computed by dividing the covariance by the product of the two variables' standard deviations.
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