Explanation:Linear models are the single most important applied statistical and machine learning technique. 4. Which of the following statement is incorrect with respect to outliers ?
A. Outliers can have varying degrees of influence
B. Outliers can be the result of spurious or real processes.
C. Outliers cannot conform to the regression relationship
D. None of the Mentioned
Answer:A
Explanation:Linear models are the single most important applied statistical and machine learning technique. 4. Which of the following statement is incorrect with respect to outliers ?
A. Outliers can have varying degrees of influence B. Outliers can be the result of spurious or real processes. C. Outliers cannot conform to the regression relationship D. None of the Mentioned
Explanation:Outliers can conform to the regression relationship. 5. Point out the wrong statement: