0
Still curious? Ask our experts.
Chat with our AI personalities
Steve
Jordan
MaxineAdd your answer:
Earn +20 pts
What is the difference between correlation analysis and?
Correlation analysis is a type of statistical analysis used to measure the strength of the relationship between two variables. It is used to determine whether there is a cause-and-effect relationship between two variables or if one of the variables is simply related to the other. It is usually expressed as a correlation coefficient a number between -1 and 1. A positive correlation coefficient means that the variables move in the same direction while a negative correlation coefficient means they move in opposite directions.Regression analysis is a type of statistical analysis used to predict the value of one variable based on the value of another. This type of analysis is used to determine the relationship between two or more variables and to determine the direction strength and form of the relationship. Regression analysis is useful for predicting future values of the dependent variable given a set of independent variables.Correlation Analysis is used to measure the strength of the relationship between two variables.Regression Analysis is used to predict the value of one variable based on the value of another.
What will an index tell you?
Indexes provide useful information including: Even with their limitations, indexes show trends and changes in investing patterns. They can give snapshots of market activity, even if they don't tell the whole story. Indexes provide a yardstick for comparison over time.
Useful when exact data is not required?
Estimation
What are Bar graphs are useful for representing?
Comparison :)
Why is moving average method useful?
abrar
