Advantages and disadvantages of multiple correlation
Answers
multiple correlation is a measure of how well a given variable can be predicted using a linear function of a set of other variables. It is the correlation between the variable's values and the best predictions that can be computed linearly from the predictive variables.
Limitations of Correlational Studies. While correlational research can suggest that there is a relationship between two variables, it cannot prove that one variable causes a change in another variable. In other words, correlation does not equal causation.
Advantages and disadvantages of multiple correlation
Explanation:
Meaning- Multiple correlation is a tool used in statistics to find and predict one variable based on other variables, if relation between two variables are studied it is called simple correlation but in case of three or more variables it is called multiple correlation.
Advantages- multiple correlation provides better prediction about a variable as compared to simple correlation because it is based on three or more variables.this also helps in making better decisions.
Disadvantages- This method needs lot of calculation can can't be easily understood by a layman. Since this method is based on all data , so it can't be calculated if any data is missing. any error in data will lead lead to misleading results and decision making.
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Advantages and disadvantages of multiple correlation
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