Thus it is desirable to use a set of easily

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: p (cm), Thigh (cm), Knee(cm), Ankle (cm), Biceps (cm), Forearm (cm), Wrist (cm), were measured on 252 men. • A multiple linear regression model can be built based on this data and then used for prediction of future observations: 13 ˆ Y = β0 + ˆ βk Xk . k =1 • Do we need all 13 variables to predict Y or a subset would suffice? 2 Source of data: Questions to Be Answered • How to estimate the regression function? • How good are the regression estimates? • How reliable are the predictions? • Does the model fit the data? Do model assumptions hold? • How to choose X variables? How to choose between competing models? How to validate a model? (Part III) Regression and Causality • Regression analysis by itself does not imply casual-...
View Full Document

This document was uploaded on 03/15/2014 for the course STATS 108 at UC Davis.

Ask a homework question - tutors are online