beetles=read.table("http:/www.ics.uci.edu/~staceyah/111202/data/beetles.txt",header=TRUE)
#insecticide is qualitative (nominal categorical), there are 3 types.
#so i define 3 indicator variables
beetles$insecticide1<-c(rep(1,6),rep(0,12)
beetles$insectici
CASE DIAGNOSTICS IN R
Data is the name of the data set.
Model is the name of a model that has been run.
Here is the correspondence between definitions in the book and R commands for the various diagnostic measures:
Name and notation
Residuals = ei
Standar
Practice identifying analysis of variance situations. For each situation, specify the factors, how
many levels they have, if they are fixed or random, and whether they are crossed with or nested
within the other factors.
1. Three methods for treating migr
Announcements:
x Youcanturninhomeworkuntil6:30pm,slotonwallacrossfrom
2202Bren.MakesureyouusetheslotforStat110.
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TODAY:Chapter1,Sections1.1and1.2
SimpleLinearRegression,forrelationship
Stat120C
Solution to Homework 5 ()
Instructor: Zhaoxia Yu
Problem 1 Consider the linear regression model with independent and normally distributed random errors:
yi = 0 + i xi + i
where i iid N (0, 2 ), i = 1, 2, , n. Let 0 and 1 denote the the least squa
The Framing of Decisions and the
Psychology of Choice
Amos Tversky and Daniel Kahneman
Ecxplanations and predictions o f
people's choices, in everyday life as well
as in the social sciences, are often founded on the assumption o f human rationality. The d
Decision 1: Deciding whether or not tracks have oil.
For this particular decision the decision makers were geologists, in particular Fred Christian. His
responsibility was to report whether or not each particular track isrich in oil and to what
certainty.
Yorkon Realtor - An Overview Consider These Ideas
How can you make certain you are hiring the proper realtor? Do you believe you've hired the suitable
realtor? If you're new in dealing with the selling and buying of homes, it might be confusing for you on
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Real Estate Data from Appendix C7 of Kutner, Nachtsheim and Neter, Applied Linear Regression Models
Case Diagnostics
n = 68, k +1 = 4 (Intercept, SqFt/100, Bedrooms, LotSize); Quality = 1 (High) Houses Only
Y = Sales Price; variance appeared constant for
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