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Which of the below differentiates Multiple Linear Regression from Linear Regression? A- Multiple Linear Regression is...

Which of the below differentiates Multiple Linear Regression from Linear Regression?

A- Multiple Linear Regression is iterative.

B-Multiple Linear Regression only has a single predictand.

C-Optimize the predictors.

D-Linear regression is trying to find the smallest amount of error

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Answer #1

Option B

Multiple linear regression does not have single predictor variable it has several predictor variables and the regression model where only 1 predictor variable is present it is nothing but a simple linear regression model.

So the basic difference between multiple and simple linear regression is that simple linear regression just contains 1 predictor variable and multiple contains atleast 2 predictor variable.

Both simple and multiple regression optimize the predictor variable to predict the dependent variable.

Both try to minimize the the error that is find the smallest possible error.

Hence option B is correctas it differentiates between simple and multiple linear regression.

Do comment if you have any doubt.

Thank you !

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