
What is the definition for Zero correlation?
Answer
509.4k+ views
Hint: We first explain the concept of correlation and the types of correlations. We explain the types of correlations along with zero correlation. We explain the concept with the use of examples.
Complete step by step solution:
Correlation means association - more precisely it is a measure of the extent to which two variables are related. There are three possible results of a correlational study: a positive correlation, a negative correlation, and zero correlation.
A positive correlation is a relationship between two variables in which both variables move in the same direction. Therefore, when one variable increases as the other variable increases, or one variable decreases while the other decreases. A negative correlation is a relationship between two variables in which an increase in one variable is associated with a decrease in the other. Zero correlation exists when there is no relationship between two variables.
For example, we can take the amount of tea drunk and level of intelligence as the zero correlation.
These two things are not related at all.
Note:
Correlation is a statistical method used to assess a possible linear association between two continuous variables. It is simple both to calculate and to interpret. Examples of the applications of the correlation coefficient have been provided using data from statistical simulations as well as real data.
Complete step by step solution:
Correlation means association - more precisely it is a measure of the extent to which two variables are related. There are three possible results of a correlational study: a positive correlation, a negative correlation, and zero correlation.
A positive correlation is a relationship between two variables in which both variables move in the same direction. Therefore, when one variable increases as the other variable increases, or one variable decreases while the other decreases. A negative correlation is a relationship between two variables in which an increase in one variable is associated with a decrease in the other. Zero correlation exists when there is no relationship between two variables.
For example, we can take the amount of tea drunk and level of intelligence as the zero correlation.
These two things are not related at all.
Note:
Correlation is a statistical method used to assess a possible linear association between two continuous variables. It is simple both to calculate and to interpret. Examples of the applications of the correlation coefficient have been provided using data from statistical simulations as well as real data.
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