You are doing advanced analytics for the one of the medical application using the regression and you have two variables which are weight and height and they are very important input variables, which…

The correct answer is D. You would consider using BMI (Body Mass Index). If multiple variables are highly co-related then it is better you consider using the either of the variable which correlates more (which is not in the given option) or go for the new variable which is a function of the both the variable in this case it could be BMI (Body Mass…

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Question

You are doing advanced analytics for the one of the medical application using the regression and you have two variables which are weight and height and they are very important input variables, which cannot be ignored and they are also highly co-related. What is the best solution for that?

Options

AYou will take cube root of height
BYou will take square root of weight
CYou will take square of the height.
DYou would consider using BMI (Body Mass Index)

How the community answered

(42 responses)

A
7% (3)
B
5% (2)
C
17% (7)
D
71% (30)

Explanation

If multiple variables are highly co-related then it is better you consider using the either of the variable which correlates more (which is not in the given option) or go for the new variable which is a function of the both the variable in this case it could be BMI (Body Mass Index). Because it is a function of both weight and height as per the below formula. BMI = Weight/(Height * Height)

Topics

#multicollinearity#feature engineering#regression#variable transformation

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