S tatistics 101B
A nswers to homework three
W inter 2012
# # QUESTION 1 ( 2.8.1) #
# A.
playbill <read.csv("http:/www.stat.tamu.edu/~sheather/book/docs/datasets/playbill.csv")
m1 <- lm(CurrentWeek~LastWeek,data=playbill)
summary(m1)
confint(m1)
# The CI f
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Statistics 101B
Winter 2012
Professor Esfandiari
The objective of this lecture is to show you how
compute standardized coefficients and how to interpret
them. We will do this f
Review Midterm Answers
Professor Esfandiari
Winter 2012
Question one.
8.4 is the intercept. That is if math, writing, and reading scores are zero. The
average science score is 8.4 (of course this is not possible in reality).
Keeping writing an
Grade distribution for midterm one
Statistics 101B/Winter 2012
Descriptives
Mean
95% Confidence Interval
for Mean
midtermp
Lower Bound
Upper Bound
5% Trimmed Mean
Median
Variance
Std. Deviation
Minimum
Maximum
Range
Interquartile Range
Skewness
Kurtosis
m
Statistics101B
MidteremReviewQuestions
QuestiononeGiventhefollowinginformation,fillupthemissingblanks
Analysis of Variance Table
Response: y
x
Residuals
Df
1
Sum Sq
(a)_
(e)_
Mean Sq
(b)_
(f)_
F value
(c)_
Estimate
18.4
0.65
Std. Error
3.1
0.06
t value
5.
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Statistics 101B
Week four Lecture Three
Professor Esfandiari
The objective of this lecture is to give you an overall view of multiple linear regression.
We will be discussing the mathematical underpinnings in the future lectures.
Linear Model for multi
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Week four Lecture two
Statistics 101B
Professor Esfandiari
The objective of this part of the lecture is to clarify hii and hij by
referring to the article by Hoaglin, et l on The Hat Matrix in
Regression and AnovA published in Vol. 32,
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Week four Lecture one
Statistics 101B
Professor Esfandiari
The objective of this part of the lecture is to
Compare t and F distribution
Talk about the steps that need to be taken to evaluate the model
If you take any variable that follows a t distrib
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Statistics 101B
Lecture two week three
Professor Esfandiari
The objective of this part of the lecture is to remind you of the
estimation interval (confidence interval) and prediction interval
that was introduced to you in the prior lecture. We d
1
Statistics 101B
Lecture three week one
Professor Esfandiari
The objective of this part of the lecture is to
Revisit R square
Elaborate on the difference between R squared and adjusted R squared
Using the pima data, suppose we want to predi
Statistics 101B
Homework Three
Winter 2013
Problem one.
a) Using the stress echo UCLA data set (posted on week two CCLE), conduct a
two-sample test of the mean to compare the average systolic blood pressure of
patients who had a heart attack and those who
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Statistics 101B
Week two/Lecture one (WednesdayMonday was a holiday)
Professor Esfandiari
The objective of this part of this lecture is to
Test the assumption of regression including linearity, n
1
Statistics 101B
Week two/Lecture two
Professor Esfandiari
The objective of this part of the lecture is to
Remind you of the different sums of squares about which we talked
last session
Show you analysis of variance in regression analysis
Interpr
Statistics 101B
Professor Esfandiari
Questions to be answered about article one
To be posted CCLE by Friday January 18th by four PM
Question one. What is the major difference between correlation a
Statistics 110B
Syllabus Winter 2013
Instructor: Mahtash Esfandiari
Time of lecture: 3:00 to 4:15
Place of lecture: 2258 Franz
Instructor email: Mesfandi@ucla.edu, esfandia@stat.ucla.edu
Office hours: Mon and Wed 2:00 to 3:00 or by appointment
Instructors
Description of the life skills data set:
One of the dilemmas that many students face is transferring from middle school to high
school. One of the local high schools in Los Angeles designed a life skills class to help
the students in this process. The int
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Statistics 101B
Professor Esfandiair
Week one/Lecture two
The objective of this part of the lecture is to remind you of the concept of
Central Limit Theorem,
Confidence interval,
1
Statistics 101B
Professor Esfandiari
Winter 2012
Week one Lecture one
The objective of the lectures is to
Give you a general overview of regression
Remind you of the mean and standard deviation of a continuous random
variable
Elaborate that the mea
Statistics 101B
Winter 2013
Instructor: Mahtash Esfandiari
Problem one: Download the following data files to your hard drive, and then load
into R. The two data files as well as the descript