#backward-elimination

Question 1: Single choice

mediumAI-checkedLinear Models & Regularization

A regression predicts birth weight from six predictors. The table gives the adjusted $R^2$ of the full model and of each model that drops one predictor.

Model	Adjusted $R^2$
Full model	0.2541
Without gestation	0.1031
Without parity	0.2492
Without mother's age	0.2547
Without mother's height	0.2311
Without mother's weight	0.2536
Without smoking status	0.2072

In backward elimination by adjusted $R^2$ , which predictor, if any, is removed first?

Mother's age1
Gestation2
Mother's weight3
None, since every reduced model has a lower adjusted $R^2$ 4

#backward-elimination

Timed test