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How do you explain positive correlation? - Answers
Positive correlation refers to a relationship between two variables in which they move in the same direction; as one variable increases, the other also tends to increase, and vice versa. This can be represented visually with a scatter plot where points trend upwards from left to right. A common example is the relationship between education level and income; typically, higher education correlates with higher income. The strength of this correlation can be quantified using a correlation coefficient, with values closer to 1 indicating a stronger positive relationship.
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How do you explain positive correlation? - Answers
Positive correlation refers to a relationship between two variables in which they move in the same direction; as one variable increases, the other also tends to increase, and vice versa. This can be represented visually with a scatter plot where points trend upwards from left to right. A common example is the relationship between education level and income; typically, higher education correlates with higher income. The strength of this correlation can be quantified using a correlation coefficient, with values closer to 1 indicating a stronger positive relationship.
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How do you explain positive correlation? - Answers
Positive correlation refers to a relationship between two variables in which they move in the same direction; as one variable increases, the other also tends to increase, and vice versa. This can be represented visually with a scatter plot where points trend upwards from left to right. A common example is the relationship between education level and income; typically, higher education correlates with higher income. The strength of this correlation can be quantified using a correlation coefficient, with values closer to 1 indicating a stronger positive relationship.
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