Strong Positive Correlation best describes the correlation between the number of hours brad studies and the grades he achieves.
What is a strong positive correlation?
- The strength of the linear link between two separate variables, x and y, is shown by correlation coefficients.
- A positive relationship is shown by a linear correlation coefficient greater than zero. Indicating a negative association is a value less than zero.
- The two variables x and y do not have any relationship when their values are 0, to sum up.
- The correlation coefficient might have a value in the range of -1.0 to 1.0. Therefore, the numbers cannot be more than 1.0 or lower than -1.0. Perfect negative correlation is represented by a correlation of -1.0, and perfect positive correlation is represented by a correlation of 1.0.
Two variables that move together, or in the same direction, are said to have a positive correlation. When one variable rises while the other rises or when one variable falls while the other falls, there is a positive correlation.
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