Age and Income Correlation

Introduction:
Correlation is a statistical measure that depicts the relationship between two variables. Age and income are two important variables that are often studied to understand their correlation. In this context, we will discuss the correlation between age and income.

Positive Correlation:
When two variables move in the same direction, it is called a positive correlation. In the case of age and income, it is observed that as an individual's age increases, their income also tends to increase. This positive correlation can be explained by the following factors:

- As individuals gain experience and expertise in their respective fields, they become more valuable to employers, which leads to higher salaries.
- As individuals progress in their careers, they tend to get promotions and bonuses, which increase their income.
- With age, individuals tend to accumulate wealth and assets, such as property and investments, which generate income.

Negative Correlation:
When two variables move in opposite directions, it is called a negative correlation. In the case of age and income, a negative correlation would imply that as an individual's age increases, their income decreases. However, this is not observed in reality, and hence, we can rule out the possibility of a negative correlation.

Zero Correlation:
When two variables have no relationship with each other, it is called zero correlation. In the case of age and income, it is highly unlikely that there is no correlation between the two variables. Therefore, we can rule out the possibility of zero correlation.

Conclusion:
In conclusion, the correct answer to the question "In case Age and income correlation is" is option 'A' - positive. Age and income have a positive correlation, which means that as an individual's age increases, their income tends to increase. This positive correlation can be explained by various factors, including experience, promotions, and asset accumulation.