Respuesta :
When two variables are positively correlated, the variables would increase, decrease or change correspondingly . If the explanatory variable increases, the other variable would increases as well. If one would decrease, then the other would decrease also. The opposite of this correlation is called the negative correlation.
Suppose two variables are positively correlated, so the response variable will increase as the explanatory variable increases.
Further explanation
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.
Learn more
- Learn more about the response variable https://brainly.com/question/11436326
- Learn more about the explanatory variable https://brainly.com/question/4038022
- Learn more about variables https://brainly.com/question/10560725
Answer details
Grade: 9
Subject: mathematics
Chapter: variables
Keywords: the response variable, correlated, the explanatory variable, direction, negative correlation
