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Correlation analysis aims at
- a)Predicting one variable for a given value of the other variable
- b)Establishing relation between two variables
- c)Measuring the extent of relation between two variables
- d)Both (b) and (c).
Correct answer is option 'D'. Can you explain this answer?
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Most Upvoted Answer
Correlation analysis aims ata)Predicting one variable for a given valu...
Correlation analysis is a statistical technique that aims to establish a relationship between two variables. The correct answer is option D, which means that correlation analysis aims to both establish the relationship between two variables and measure the extent of the relationship.
Establishing the Relationship between Two Variables
Correlation analysis helps to establish whether there is a relationship between two variables. If a relationship exists, it can be positive or negative. A positive relationship means that as one variable increases, the other variable also increases. A negative relationship means that as one variable increases, the other variable decreases.
Measuring the Extent of the Relationship
Correlation analysis also measures the extent of the relationship between two variables. The strength of the relationship is measured by a correlation coefficient, which ranges from -1 to +1. A correlation coefficient of -1 indicates a perfect negative relationship, while a correlation coefficient of +1 indicates a perfect positive relationship. A correlation coefficient of 0 indicates no relationship between the two variables.
Predicting One Variable for a Given Value of the Other Variable
Correlation analysis can also be used to predict one variable for a given value of the other variable. This is done using regression analysis, which is a technique that uses the relationship between two variables to predict the value of one variable for a given value of the other variable.
Conclusion
In conclusion, correlation analysis is a statistical technique that aims to establish the relationship between two variables and measure the extent of the relationship. It can also be used to predict one variable for a given value of the other variable.
Establishing the Relationship between Two Variables
Correlation analysis helps to establish whether there is a relationship between two variables. If a relationship exists, it can be positive or negative. A positive relationship means that as one variable increases, the other variable also increases. A negative relationship means that as one variable increases, the other variable decreases.
Measuring the Extent of the Relationship
Correlation analysis also measures the extent of the relationship between two variables. The strength of the relationship is measured by a correlation coefficient, which ranges from -1 to +1. A correlation coefficient of -1 indicates a perfect negative relationship, while a correlation coefficient of +1 indicates a perfect positive relationship. A correlation coefficient of 0 indicates no relationship between the two variables.
Predicting One Variable for a Given Value of the Other Variable
Correlation analysis can also be used to predict one variable for a given value of the other variable. This is done using regression analysis, which is a technique that uses the relationship between two variables to predict the value of one variable for a given value of the other variable.
Conclusion
In conclusion, correlation analysis is a statistical technique that aims to establish the relationship between two variables and measure the extent of the relationship. It can also be used to predict one variable for a given value of the other variable.
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Correlation analysis aims ata)Predicting one variable for a given valu...
Ans : d) Both (b) and (c)
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Correlation analysis aims ata)Predicting one variable for a given value of the other variableb)Establishing relation between two variablesc)Measuring the extent of relation between two variablesd)Both (b) and (c).Correct answer is option 'D'. Can you explain this answer?
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