If change in one variable results a corresponding change in the variable the the variables are
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Step-by-step explanation:
The correlation between two variables is said to be linear if the change of one unit in one variable result in the corresponding change in the other variable over the entire range of values.
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Correlated
Step-by-step explanation:
When the relationship between the two variables is quantitative, the statistical tool for measuring the relationship and expressing it in a brief formula is known as correlation. If a change in one variable results in a corresponding change in the other, the two variables are correlated.
Types of correlation
Probing into the types of correlation, we contemplate two types :
correlation:
A) Positive and Negative correlation
B) Linear and Non-linear correlation
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