lecture10_2slides

lecture10_2slides - Statistics 528 - Lecture 10 Regression...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
Statistics 528 - Lecture 10 1 Statistics 528 - Lecture 10 Prof. Kate Calder 1 Regression Using MINITAB Example: Poplar tree example (from lecture 1) - poplar2.mtw We are interested in whether D 2 H can be used to predict the weight of trees. Regression of Weight on D 2 H : Weight = a + bD 2 H Select Stat-Regression-Regression Response: Weight Predictors: D 2 H Output: regression equation, r 2 , possible outliers and influential observations Statistics 528 - Lecture 10 Prof. Kate Calder 2 Residuals and Fitted Values: Select Stat-Regression-Regression and click on Storage . Select Residuals and Fits. Residual Plots: 1. Use the residuals and fitted values in the worksheet to make them. 2. Select Stat-Regression-Regression and click on Graphs . Choose Regular residuals and put D2H in the Residuals Versus the Variables box. Other types of regression plots (such as those discussed in lecture notes 9) are sometimes useful and can be made in Minitab.
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 2
This is the end of the preview. Sign up to access the rest of the document.

Page1 / 5

lecture10_2slides - Statistics 528 - Lecture 10 Regression...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online