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Answer:
We often see patterns or relationships in scatterplots. When the y variable tends to increase as the x variable increases, we say there is a positive correlation between the variables. When the y variable tends to decrease as the x variable increases, we say there is a negative correlation between the variables.
Step-by-step explanation:
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The correlation between two variables on a graph gives the relationship between those variables. Depending on the nature of these variables plotted on the graphs, the correlation is named.
What is meant by correlation?
- In a scatterplot, the data points of an individual with two distinct variables are related. This relationship is called 'correlation'.
- The relationship between any two variables plotted on any graph is named to be a correlation.
Depending on the type of relation between the variables, the correlation is categorized into three major types. They are
i) Positively correlation
ii) Negative correlation
iii) No correlation
What is meant by positively correlated?
- The variables plotted on a graph are said to be positively correlated, if both the variables increase with respect to each other.
- E.g.: In a graph, if the values of y increase as the value of x increases, then they are said to be positively correlated.
What is meant by negatively correlated?
- The variables plotted on a graph are said to be negatively correlated, if one of the variables increases, the other variable get decreases.
- E.g.: In a graph if the values of y decrease as the value of x increases, then they are said to be negatively correlated.
What is meant by no correlation?
- The data points for the two variables are plotted randomly on the graph.
- If there is no relation between any two points of those two variables, then such a relation is said to be 'no correlation'.
- E.g.: In a graph, if the values of x and y are randomly located, then there is no correlation between them.
Learn more about correlation on a graph here:
https://brainly.com/question/6500301
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