HW10 - approaches to this analysis. Include a comparison of...

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Stat 512 – 1 Homework 9 Dr. Levine Due Friday, Dec 12 The first group of three questions refers to the Hay Fever dataset that we used in the HW#9. 1. The table below gives the exact quantities of ingredients corresponding to the three levels (low, medium, and high) of the two factors. Treating the quantities of each ingredient as quantitative variables, analyze these data using linear regression. Include linear and centered quadratic terms for each predictor and the product of the centered linear terms. Summarize the results of this analysis. Quantity (in milligrams) Factor Level X1 (Ingredient1) X2 (Ingredient 2) Low 5.0 7.5 Medium 10.0 10.0 High 15.0 12.5 2. Check the assumptions of the regression model used in question 1. 3. Give a discussion comparing the ANOVA (Homework #9) and the regression (Problem 1)
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Unformatted text preview: approaches to this analysis. Include a comparison of the values of 2 R for the two analyses and the conclusions drawn concerning interactions. 4. Problem 19.47 The next group of questions refers to the coin-operated terminals dataset introduced in p. 889 of KNNL. 5. Perform the two-way ANOVA without interaction for this model. Use the results of hypothesis tests to determine whether main effects are present (significant). 6. Plot the data vs. the location factor using two different lines for the two weeks. Based on your graph, do you think that interaction is important for this problem? 7. Use the Tukey comparison to determine all significant differences in means in the main effect for location. 8. Problem 20.4...
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This note was uploaded on 02/05/2011 for the course STAT 512 taught by Professor Staff during the Spring '08 term at Purdue University-West Lafayette.

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