Write (TRUE/FALSE) for each question. An observation with a large standardized residual value always generates a large Cook’s distance value. (T/F) Leverage value detects unusual x values. (T/F) BIC gives heavier penalty on models with many variables than Cp or AIC. (T/F) As the tuning parameter λ → ∞, the coefficients of ridge regression tend to zero. (T/F) Like the least square coefficient, ridge regression coefficients are scale equivalent. (T/F) The shrinkage penalty is applied to all coefficient except for the intercept. (T/F) Lasso regression reduces the bias by increasing the tuning parameter. (T/F)
Write (TRUE/FALSE) for each question. An observation with a large standardized residual value always generates a large Cook’s distance value. (T/F) Leverage value detects unusual x values. (T/F) BIC gives heavier penalty on models with many variables than Cp or AIC. (T/F) As the tuning parameter λ → ∞, the coefficients of ridge regression tend to zero. (T/F) Like the least square coefficient, ridge regression coefficients are scale equivalent. (T/F) The shrinkage penalty is applied to all coefficient except for the intercept. (T/F) Lasso regression reduces the bias by increasing the tuning parameter. (T/F)
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
Related questions
Question
Write (TRUE/FALSE) for each question.
An observation with a large standardized residual value always generates a large Cook’s
distance value. (T/F)
Leverage value detects unusual x values. (T/F)
BIC gives heavier penalty on models with many variables than Cp or AIC. (T/F)
As the tuning parameter λ → ∞, the coefficients of ridge regression tend to zero. (T/F)
Like the least square coefficient, ridge regression coefficients are scale equivalent. (T/F)
The shrinkage penalty is applied to all coefficient except for the intercept. (T/F)
Lasso regression reduces the bias by increasing the tuning parameter. (T/F)
Transcribed Image Text:The lasso regression coefficient can be calculated by minimizing (T/F)
η
Σ| yi-Bo - Σ β;aij
Σ --ΣΑΣ
i=1
P
+λ Σβ
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