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Question 135 - CBDA discussion

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An analyst is performing regression analysis and reviewing the results. They would like to rescale the variables in the model to more clearly reflect the relationship between the regression coefficients. Which technique could be used to rescale the variables?

A.
Dimension Reduction
Answers
A.
Dimension Reduction
B.
Mean Centering
Answers
B.
Mean Centering
C.
Normalization
Answers
C.
Normalization
D.
Clustering
Answers
D.
Clustering
Suggested answer: C

Explanation:

Explanation: Normalization is a technique that rescales the values of the variables in a data set to a common range, such as [0,1] or [-1,1]. Normalization can help reduce the effect of outliers, improve the performance of some algorithms, and make the interpretation of the regression coefficients easier and more consistent. Normalization can be done using different methods, such as min-max scaling, z-score scaling, or unit vector scaling.

asked 18/09/2024
Simon Tam
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