AI Tutor
Back to Multiple and logistic regression

Exercise 7

Avg difficulty 3.0

Baby weights, Part IV. Exercise 9.3 considers a model that predicts a newborn’s weight using several predictors (gestation length, parity, age of mother, height of mother, weight of mother, smoking status of mother). The table below shows the adjusted R-squared for the full model as well as adjusted R-squared values for all models we evaluate in the first step of the backwards elimination process.

Model Adjusted R2R^{2}
1 Full model 0.2541
2 No gestation 0.1031
3 No parity 0.2492
4 No age 0.2547
5 No height 0.2311
6 No weight 0.2536
7 No smoking status 0.2072

Which, if any, variable should be removed from the model first?

Diez, Barr & Çetinkaya-Rundel, OpenIntro Statistics, Multiple and logistic regression, End-of-Chapter Exercises, Exercise 7

AI Tutor

Adapted from OpenIntro Statistics © 2019 David Diez, Mine Çetinkaya-Rundel & Christopher D. Barr. Licensed under CC BY-SA 3.0. Source: OpenIntro Statistics. Imported at revision fee2509.