Table B.23 contains player efficiency ratings (PER) from the 2016-17 and 2017-18 NBA combine that evaluates 60

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Table B.23 contains player efficiency ratings (PER) from the 2016-17 and 2017-18 NBA combine that evaluates 60 rookies hoping to be drafted by NBA teams. PER is a measure of a player's per-minute productivity that is a summation of positive contribution (such as points and assists) and minus negative ones (such as turnovers and missed field goal attempts). At the combine, the PER is computed using the factors lane agility, shuttle run time, three-quarter spring time, standing vertical leap, and maximum vertical leap. The player's position is also recorded. The five positions are point guard, small (shooting) guard, small forward/small guard, and center. The PER is hopefully and indicator of how the player will perform in his first or rookie year in the league.


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a. Fit a regression model relating PER to only the continuous regressors. Evaluate the model in terms of fit and potential predictive performance.
b. The model that you found in part a can probably be improved by adding the player position information using indicator variables. Fit this model and compare it to the one from part a.
c. Fit a model similar to the one in part \(b\) but in addition using the interaction terms between the continuous regressors and the indicator variables. Evaluate this model and compare it to the ones from parts \(\mathrm{a}\) and \(\mathrm{b}\).

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Introduction To Linear Regression Analysis

ISBN: 9781119578727

6th Edition

Authors: Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining

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