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#5, which of the given following figures showing the coefficient estimates of a linear shrinkage method corresponds to Lasso
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Answer #1

Fig1. is Lasso, as the its coefficient touches the x-axis. it means some of the coefficient will shrinked to zero.

Fig2, is ridge, as its coefficient does not touches to x-axis and its coefficient wouldnot shrinked to zero.

both Lasso and ridge are regularization techniques in regression analysis. in Lasso some of the coefficient will become zero but in ridge this doesn't happen,

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