Citation Request:
This dataset is public available for research. The details are described
in [Cortez et al., 2009].
Please include this citation if you plan to use this database:
P. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis.
Modeling wine pre
ST2137 Computer Aided Data Analysis
Chapter 7
Analyzing categorical
data
CYM
7.1
ST2137 Computer Aided Data Analysis
7.1 Introduction
7.1.1 What is a categorical variable?
Examples:
Gender (Male or Female)
Sick or well
Success or failure
Age group (Be
ST2137 Computer Aided Data Analysis
Chapter 6
Robust statistics for
location and scale
parameters
CYM
6.1
ST2137 Computer Aided Data Analysis
6.1 Introduction
6.1.1 Why do we need robust statistics?
There may be outliers in the data
Outliers are sample
ST2137 Computer Aided Data Analysis
Chapter 3
R: An Introduction
CYM
3.1
ST2137 Computer Aided Data Analysis
1. What is R?
It is an integrated suite of software
facilitates for data manipulation, calculation
and graphical display. Among other things
it h
ST2137 Computer Aided Data Analysis
Chapter 2
SAS: An Introduction
CYM
2.1
ST2137 Computer Aided Data Analysis
What is SAS?
It is a programming language composed of
statements that specify how data to be
processed and analyzed
A SAS program consists of
ST2137 Computer Aided Data Analysis
Chapter 1
Introduction
CYM
1.1
ST2137 Computer Aided Data Analysis
Objectives
To appreciate statistics through analyzing
data
To solve real life problems through
statistics
To learn how to use statistical software to
Chapter 9
ST3131 Regression Analysis
CYM
9-1
Overview
ST3131 Regression Analysis
CYM
9-2
9.1 Introduction
In previous chapters, we assume that we have included all (or nearly all)
of the important regressors that should be used. Our focus is on
techniques
Chapter 10
ST3131 Regression Analysis
CYM
10-1
Overview
Assumptions on the error terms:
Constant variance
Normality distributed
Independence
Test for constant variance
Patterns of residual plots
Residual plots
Plot residual against fitted value
P
Chapter 7
ST3131 Regression Analysis
CYM
7-1
Overview
ST3131 Regression Analysis
CYM
7-2
7.1 Introduction
Recall: assumptions in regression analysis are
The relationship between the response y and the
regressors is linear, at least approximately.
The er
Output of R program on Page 9-45 and Page 9-46
# conduct stepwise regression MANUALLY using R
> ch9ex1=read.table("ch9ex1.txt",header=T)
> attach(ch9ex1)
#step 1: initial step
> cor(ch9ex1)
y
x1
x2
x3
x4
y 1.0000000 0.7307175 0.8162526 -0.5346707 -0.82130
National University of Singapore
ST3233: Applied Time Series
Assignment 1
Semester 1: 2016-2017
1. Please, write your group number as well as the matriculation number and name of each member of the
group.
2. The assignment is to be uploaded on the IVLE by
National University of Singapore
ST3233: Applied Time Series
Assignment 2
Semester 1: 2016-2017
1. Please, write your group number as well as the matriculation number and name of each member of the
group.
2. The assignment is to be uploaded on the IVLE by