When we should use multiple linear regression? When there are multiple dependent variables when we would like to identify the strength of the effect that the independent variables have on a dependent variable. When we would like to predict impacts of changes in independent variables on a dependent variable.
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We are asked the question of when should we use multiple linear regression, along with the question we are given two options the correct option being the first option.
- The other word for multiple linear regression is multiple regression.
- As the name itself suggests there will be multiple dependent variables.
- We try to compare the effect of these multiple dependent variables on the independent variable.
- Multiple regression is simply the extension of linear regression.
- So, the correct answer will be that multiple linear regression should be used when there will be multiple dependent variables and the effect of the dependent variables on the independent variable.
- Therefore, for the above explanation, it is evident that the correct answer is the first option.
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