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If the values of y are not affected by changes in the values of x, the variables are said to be
- a)correlated
- b)uncorrelated
- c)both
- d)zero
Correct answer is option 'B'. Can you explain this answer?
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If the values of y are not affected by changes in the values of x, the...
Explanation:
When the values of y are not affected by changes in the values of x, it is said that the variables are uncorrelated. In other words, changes in the value of x have no impact on the value of y.
Examples:
Let's take an example of two variables, x and y, to understand the concept of correlation:
- Suppose we have data on the height and weight of a group of individuals. If we plot this data on a scatter plot, we may find that there is no relationship between the two variables. In other words, changes in the height of an individual do not affect their weight, and vice versa. In this case, we can say that the variables are uncorrelated.
- On the other hand, if we plot data on the amount of rainfall and the yield of a crop, we may find that there is a positive correlation between the two variables. In other words, as the amount of rainfall increases, the yield of the crop also increases. In this case, we can say that the variables are correlated.
Therefore, the concept of correlation is important in understanding the relationship between two variables. When variables are uncorrelated, they do not have any impact on each other, and their values can be analyzed independently.
When the values of y are not affected by changes in the values of x, it is said that the variables are uncorrelated. In other words, changes in the value of x have no impact on the value of y.
Examples:
Let's take an example of two variables, x and y, to understand the concept of correlation:
- Suppose we have data on the height and weight of a group of individuals. If we plot this data on a scatter plot, we may find that there is no relationship between the two variables. In other words, changes in the height of an individual do not affect their weight, and vice versa. In this case, we can say that the variables are uncorrelated.
- On the other hand, if we plot data on the amount of rainfall and the yield of a crop, we may find that there is a positive correlation between the two variables. In other words, as the amount of rainfall increases, the yield of the crop also increases. In this case, we can say that the variables are correlated.
Therefore, the concept of correlation is important in understanding the relationship between two variables. When variables are uncorrelated, they do not have any impact on each other, and their values can be analyzed independently.
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If the values of y are not affected by changes in the values of x, the variables are said to bea)correlatedb)uncorrelatedc)bothd)zeroCorrect answer is option 'B'. Can you explain this answer?
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