Suppose two variables are positively correlated, so the response variable will increase as the explanatory variable increases.
<h3>Further explanation
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The direction of a correlation is either positive or negative. When two variables have a positive correlation, it means the variables move in the same direction. Positive correlation exists when two variables move in the same direction. A example of positive correlation is height and weight, taller people tend to be heavier, and vice versa
Whereas In a negative correlation, the variables move in inverse, or opposite, directions. In other words, as one variable increases, the other variable decreases. Common examples of negative correlation. A student who has many absences has a decrease in grades.
Suppose two variables are positively correlated. Does the response variable increase or decrease as the explanatory variable increases? The response variable will increase as the explanatory variable increases. That's what is meant by a positive correlation
Whereas if supposed the two variables are negatively correlated. Does the response variable increase or decrease as the explanatory variable increases? The response variable will decrease as the explanatory variable increases.
<h3>Learn more</h3>
- Learn more about the response variable brainly.com/question/11436326
- Learn more about the explanatory variable brainly.com/question/4038022
- Learn more about variables brainly.com/question/10560725
<h3>Answer details</h3>
Grade: 9
Subject: mathematics
Chapter: variables
Keywords: the response variable, correlated, the explanatory variable, direction, negative correlation
