Question

multiple correlation advantages and disadvantages​

Answer 1

Multiple regression is used to examine the relationship between several independent variables and a dependent variable. While multiple regression models allow you to analyze the relative influences of these independent, or predictor, variables on the dependent, or criterion, variable, these often complex data sets can lead to false conclusions if they aren't analyzed properly.

Answer 2

The multiple correlation helps is determining the output through the impact of more than one variable to the output. The disadvantage of multiple correlation is the data having some form of error or being "incomplete"

Explanation:

Advantage

• The multiple correlation is used to find the impact of more than one variable on the the output value
• The other advantage of multiple correlation is that it helps in finding the faults or errors in the data
• The multiple correlation helps in comparing the  different "variable" with another" variable" and gives a better result.  

Disadvantage

• The problem of using multiple correlation is when the data is "incomplete" or it has some errors
• The calculation involved in multiple correlation is a complicated process and not easy to being used
• The problem with multiple correlation is that when the correlation increases then it is not very effective

To know more about multiple correlation

Distinguish between sample multiple correlation coefficient and population multiple correlation coefficient

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