LogisticRegressionLab

LogisticRegressionLab - Recitation for week#11(starting Sun...

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

View Full Document Right Arrow Icon
Recitation for week #11 (starting Sun, Apr 10) and Assignment #11: Logistic Regression The problems in this lab should be handed in as homework #11 and are due at noon on Wed, April 20, 2011. 1 Case Background In this lab, we continue the analysis of the casting problem. Recall that, as part of a longer manufacturing process, a factory needs to cast a large number of rectangular metallic blocks. The blocks are manufactured using a mold, consisting of the main cavity, a cup through which the molten metal is poured, and two risers for cooling. The size and shape of the pouring cup and risers affect how quickly the metal can be poured into the mold, how quickly it cools, and whether it sets correctly. Objective: The factory needs to cast batches of 100 blocks of size 4 . 5 × 4 . 5 × 7 inches. The current casting approach is fairly conservative – it takes a long time to pour, but the blocks always set correctly and are usable. Your goal is to achieve a significant reduction in average casting time while still ensuring that most blocks are usable. Variables characterizing the mold: The following nine mold-variables can be varied: Riser Height, Riser Diameter, Riser 1 Position, Riser 2 Position, Gate Diameter, Cup Height, Sprue Height, Sprue Diameter Bottom, Sprue Diameter Top . Data: To obtain data on how various mold-variable settings affect pouring and cooling, a batch of 100 is poured with random variations 1 in the nine mold-variables, centered about their baseline values. The data are available in castdata2011.csv . As before, the first nine columns are the mold-variables listed above and the 10th column is BatchTime and the 11th column is Feasible . Feasible is 1 if the casting is feasible and 0 otherwise. 2 Assignment This lab project will guide you through the analysis. First, enter the data in the file castdata2011.csv : cast = read.csv("castdata2011.csv",header=TRUE) attach(cast) 1 There are more efficient ways of designing experiments, but we will use this simple random data collection for now. Design of experiments will be covered later in the course 1
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.

This note was uploaded on 03/18/2012 for the course ORIE 3120 taught by Professor Jackson during the Spring '09 term at Cornell.

Page1 / 5

LogisticRegressionLab - Recitation for week#11(starting Sun...

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