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Dimension reduction methods have the goal of using the correlation structure among the predictor variables to accomplish which of the following:
A. To reduce the number of predictor components
B. To help ensure that these components are dependent
C. To provide a framework for interpretability of the results
D. To help ensure that these components are independent
E. To increase the number of predictor components
Choose the correct answer from the options given below:
- a)A, B, D and E only
- b)A, C and D only
- c)A, B, C and E only
- d)B, C, D and E only
Correct answer is option 'B'. Can you explain this answer?
Verified Answer
Dimension reduction methods have the goal of using the correlation str...
The correct answer is Options A, C, and D only.
- Option A: Dimension reduction methods are used to reduce the number of predictor components. This is done by identifying the underlying patterns in the data and then representing the data in a lower-dimensional space.
- Option C: Dimension reduction methods can provide a framework for interpretability of the results. This is because it can help to simplify the data and make it easier to understand the relationships between the variables.
- Option D: Dimension reduction methods can help to ensure that these components are independent. This is because the goal of dimension reduction is to identify the underlying patterns in the data, and independent components do not share any common patterns.
- Option B is incorrect because dimension reduction methods do not necessarily ensure that the components are dependent. In fact, the goal of dimension reduction is to identify the underlying patterns in the data, and independent components do not share any common patterns.
- Option E is incorrect because dimension reduction methods are used to reduce the number of predictor components, not increase them
Most Upvoted Answer
Dimension reduction methods have the goal of using the correlation str...
Dimension Reduction Methods in Predictor Variables:
Goal:
- The goal of dimension reduction methods is to use the correlation structure among the predictor variables to achieve certain objectives.
Objective:
- The main objective is to reduce the number of predictor components while maintaining the essential information contained in the original dataset.
Benefits:
- By reducing the dimensionality of the data, it becomes easier to analyze and interpret the results.
- It can help in identifying the most significant predictors and removing redundant variables.
- Dimension reduction can also lead to improved model performance by reducing overfitting.
Accomplishments:
- Dimension reduction methods aim to ensure that the components derived are dependent on the correlation structure of the data.
- It helps to maintain the interrelationships between the predictors while reducing the overall dimensionality.
Therefore, the correct answer to the question is option 'B' - Dimension reduction methods aim to reduce the number of predictor components while ensuring that these components are dependent on the correlation structure of the data.
Goal:
- The goal of dimension reduction methods is to use the correlation structure among the predictor variables to achieve certain objectives.
Objective:
- The main objective is to reduce the number of predictor components while maintaining the essential information contained in the original dataset.
Benefits:
- By reducing the dimensionality of the data, it becomes easier to analyze and interpret the results.
- It can help in identifying the most significant predictors and removing redundant variables.
- Dimension reduction can also lead to improved model performance by reducing overfitting.
Accomplishments:
- Dimension reduction methods aim to ensure that the components derived are dependent on the correlation structure of the data.
- It helps to maintain the interrelationships between the predictors while reducing the overall dimensionality.
Therefore, the correct answer to the question is option 'B' - Dimension reduction methods aim to reduce the number of predictor components while ensuring that these components are dependent on the correlation structure of the data.
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Dimension reduction methods have the goal of using the correlation structure among the predictor variables to accomplish which of the following:A. To reduce the number of predictor componentsB. To help ensure that these components are dependentC. To provide a framework for interpretability of the resultsD. To help ensure that these components are independentE. To increase the number of predictor componentsChoose the correct answer from the options given below:a)A, B, D and E onlyb)A, C and D onlyc)A, B, C and E onlyd)B, C, D and E onlyCorrect answer is option 'B'. Can you explain this answer? for Civil Engineering (CE) 2025 is part of Civil Engineering (CE) preparation. The Question and answers have been prepared according to the Civil Engineering (CE) exam syllabus. Information about Dimension reduction methods have the goal of using the correlation structure among the predictor variables to accomplish which of the following:A. To reduce the number of predictor componentsB. To help ensure that these components are dependentC. To provide a framework for interpretability of the resultsD. To help ensure that these components are independentE. To increase the number of predictor componentsChoose the correct answer from the options given below:a)A, B, D and E onlyb)A, C and D onlyc)A, B, C and E onlyd)B, C, D and E onlyCorrect answer is option 'B'. Can you explain this answer? covers all topics & solutions for Civil Engineering (CE) 2025 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Dimension reduction methods have the goal of using the correlation structure among the predictor variables to accomplish which of the following:A. To reduce the number of predictor componentsB. To help ensure that these components are dependentC. To provide a framework for interpretability of the resultsD. To help ensure that these components are independentE. To increase the number of predictor componentsChoose the correct answer from the options given below:a)A, B, D and E onlyb)A, C and D onlyc)A, B, C and E onlyd)B, C, D and E onlyCorrect answer is option 'B'. Can you explain this answer?.
Dimension reduction methods have the goal of using the correlation structure among the predictor variables to accomplish which of the following:A. To reduce the number of predictor componentsB. To help ensure that these components are dependentC. To provide a framework for interpretability of the resultsD. To help ensure that these components are independentE. To increase the number of predictor componentsChoose the correct answer from the options given below:a)A, B, D and E onlyb)A, C and D onlyc)A, B, C and E onlyd)B, C, D and E onlyCorrect answer is option 'B'. Can you explain this answer? for Civil Engineering (CE) 2025 is part of Civil Engineering (CE) preparation. The Question and answers have been prepared according to the Civil Engineering (CE) exam syllabus. Information about Dimension reduction methods have the goal of using the correlation structure among the predictor variables to accomplish which of the following:A. To reduce the number of predictor componentsB. To help ensure that these components are dependentC. To provide a framework for interpretability of the resultsD. To help ensure that these components are independentE. To increase the number of predictor componentsChoose the correct answer from the options given below:a)A, B, D and E onlyb)A, C and D onlyc)A, B, C and E onlyd)B, C, D and E onlyCorrect answer is option 'B'. Can you explain this answer? covers all topics & solutions for Civil Engineering (CE) 2025 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Dimension reduction methods have the goal of using the correlation structure among the predictor variables to accomplish which of the following:A. To reduce the number of predictor componentsB. To help ensure that these components are dependentC. To provide a framework for interpretability of the resultsD. To help ensure that these components are independentE. To increase the number of predictor componentsChoose the correct answer from the options given below:a)A, B, D and E onlyb)A, C and D onlyc)A, B, C and E onlyd)B, C, D and E onlyCorrect answer is option 'B'. Can you explain this answer?.
Solutions for Dimension reduction methods have the goal of using the correlation structure among the predictor variables to accomplish which of the following:A. To reduce the number of predictor componentsB. To help ensure that these components are dependentC. To provide a framework for interpretability of the resultsD. To help ensure that these components are independentE. To increase the number of predictor componentsChoose the correct answer from the options given below:a)A, B, D and E onlyb)A, C and D onlyc)A, B, C and E onlyd)B, C, D and E onlyCorrect answer is option 'B'. Can you explain this answer? in English & in Hindi are available as part of our courses for Civil Engineering (CE).
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Dimension reduction methods have the goal of using the correlation structure among the predictor variables to accomplish which of the following:A. To reduce the number of predictor componentsB. To help ensure that these components are dependentC. To provide a framework for interpretability of the resultsD. To help ensure that these components are independentE. To increase the number of predictor componentsChoose the correct answer from the options given below:a)A, B, D and E onlyb)A, C and D onlyc)A, B, C and E onlyd)B, C, D and E onlyCorrect answer is option 'B'. Can you explain this answer?, a detailed solution for Dimension reduction methods have the goal of using the correlation structure among the predictor variables to accomplish which of the following:A. To reduce the number of predictor componentsB. To help ensure that these components are dependentC. To provide a framework for interpretability of the resultsD. To help ensure that these components are independentE. To increase the number of predictor componentsChoose the correct answer from the options given below:a)A, B, D and E onlyb)A, C and D onlyc)A, B, C and E onlyd)B, C, D and E onlyCorrect answer is option 'B'. Can you explain this answer? has been provided alongside types of Dimension reduction methods have the goal of using the correlation structure among the predictor variables to accomplish which of the following:A. To reduce the number of predictor componentsB. To help ensure that these components are dependentC. To provide a framework for interpretability of the resultsD. To help ensure that these components are independentE. To increase the number of predictor componentsChoose the correct answer from the options given below:a)A, B, D and E onlyb)A, C and D onlyc)A, B, C and E onlyd)B, C, D and E onlyCorrect answer is option 'B'. Can you explain this answer? theory, EduRev gives you an
ample number of questions to practice Dimension reduction methods have the goal of using the correlation structure among the predictor variables to accomplish which of the following:A. To reduce the number of predictor componentsB. To help ensure that these components are dependentC. To provide a framework for interpretability of the resultsD. To help ensure that these components are independentE. To increase the number of predictor componentsChoose the correct answer from the options given below:a)A, B, D and E onlyb)A, C and D onlyc)A, B, C and E onlyd)B, C, D and E onlyCorrect answer is option 'B'. Can you explain this answer? tests, examples and also practice Civil Engineering (CE) tests.
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