STAT 401: Regression and Analysis of Variance - Faraway's Linear Models with R - Statistics Assignment Help

Assignment Task:

Relevant Reading 

1. R Companion: Sections 9.3, 9.6.1 and 9.6.2. 

2. Faraway's Linear Models with R, Section 5.3. 

3. Faraway's Practical Regression and Anova with R, Section 9.4. 

4. Brief Notes for Week 7. 

The Data

The same datasets as Assignments 5 and 6 (trees, teachers, and bread) are to be used for this assignment.

Lab Exercises for Week 7

For this assignment, you will continue with the models proposed in Assignment 5 and further analyzed in Assignment 6. Code with limited comments are provided for this assignment. See if you are able to figure out what the code does and how. 

Before you begin be sure you remember that: 

1. You are not expected to, and should not attempt or even propose any remedial measures. 

2. You should focus your efforts on observations and interpretations associated with only the analyses corresponding to the task listed below. And, 

3. You may make a note of (and comment on) any additional curious or surprising observations while doing the analyses, if you please - as long as these have to do only with the proposed model, and they arise from the analyses listed in the tasks below. 

Task:

For each dataset, perform a complete multicollinearity analysis as described in the Week 7 Brief  

HW Assignment #7

In a clear, concise, complete, and correct paragraph, provide a writeup for each dataset (one dataset at a time). Do not include any plots. Your paragraph should include: 

1. Findings/interpretations from your multicollinearity analyses.

2. If applicable, any other “curious/surprising” observations you came across.

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