Answer :
If observations of y tend to increase as observations of x increase, the relationship between these two variables will be best describe as positive correlation.
Correlation refers to a pattern or relationship between the values of two variables. If correlation exist between two variables, a pattern can be observed as variables are plotted on a scatter plot. A pattern approximated by a line is called a linear correlation otherwise it is a non-linear correlation. There are three ways to define a correlation or a relationship between variables: positive correlation, negative correlation, and no correlation. A positive correlation demonstrates that as one variable increases it causes the other variable to increase as well. A negative correlation shows that as one variable increases it causes the other variable to decrease. A no correlation exists when one variable increases the other variable remains constant.
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