Step one: identify the variables:
Dependent variable: amount spent
Independent variables:
Gender
Married
Own home
Step two: describe the dependent variable overall behavior:
Step three: relationship between AmountSpent (DV) and Gender (IV1), Married (IV2)

ETF2100/5910 Introductory Econometrics
Tutorial exercises for week 4: Confidence Interval and Hypothesis Test
Students should attempt these questions before attending the tutorial.
Question
Consider PoE question 3.5 where our interest is on the relationsh

ETF2100/5910 Introductory econometrics
Tutorial exercises for week 3: simple linear regression model
Questrion 1 This example is based on Quesiton 2.10 in PoE
Consider the simple linear regression model known as the capital asset pricing model (CAPM). CAP

ETF2100/5910 Introductory econometrics
Solution to week 2: Introduction to EViews
(a)
Plot house price against house size for all houses and comment on the relationship
between the two variables.
1,600,000
1,400,000
1,200,000
price
1,000,000
800,000
600,0

ETF2100/9100 Introductory Econometrics
Tutorial exercises for week 6: The Multiple Regression Model
Solution
Question 1
Consider PoE question 5.4 where our interest is on the model relating the proportion of a
households budget spent on transportation WTR

Week 12 Introductory Econometrics
October 21, 2014
Week 12 Introductory Econometrics
October 21, 2014
1 / 19
Serial correlation
Serial correlation (SC) tends to occur with time-series data. It is a sign of
mis-specication in our model.
The assumption MR4:

Week 9 Introductory Econometrics
September 23, 2014
Week 9 Introductory Econometrics
September 23, 2014
1 / 24
Using Indicator Variables
Quadratic
Interactions between dummy variables.
Dummy variables with more than two categories.
Chow test: test the equ

Week 11 Introductory Econometrics
October 14, 2014
Week 11 Introductory Econometrics
October 14, 2014
1 / 16
Assignment 2 (Q2 part e)
The advertising expenditure is optimal when tr = 1
a
From (a) and at p = 1 and a = 40
tr
a = 3 + 25 ai + 6 pi = 3 + 25 (4

1
ETF1100
Busines
s
Statistic
s
2
PROBABILITY I:
Interactive
Lecture
Four
Please bring Statistical tables to
this lecture
Probability Distribution Continuous
The Normal Distribution
Standardising
Finding Probabilities the general
procedure
Unstandardi

require(fpp)
# Canadian lynx data - annual so not seasonal but cyclic
plot(lynx)
#stl(lynx)
# cycles vary in length between 9-11 years
# Electrical equipment
plot(elecequip,
main="Electrical equipment manufacturing (Euro area)",
ylab="New orders index",xl

ETF2100/5910 Introductory econometrics
Solution to week 3: simple linear regression model
)
(a)
Explain why the econometric model (2) is a simple regression model. Explain what the
dependent variable and explanatory variable are.
The model in (2) can be w

ETF2100/5910 Introductory econometrics
Tutorial exercises for week 2: Introduction to EViews
The aim of this exercise is to introduce EViews.
Consider PoE question 2.11 where we will use the data br2.wf1 to answer all parts.
The file br2.wf1 contains data

ETF1100 Business Statistics
Tutorial 5
The normal distribution
Part A
(TO BE COMPLETED AND SUBMITTED ON MOODLE BY MIDDAY ON THE DAY
BEFORE YOUR TUTORIAL)
QA5.1. Instructions for the use of the normal distribution functions NORM.S.DIST,
NORM.S.INV, NORM.DI

ETF1100 Business Statistics
Tutorial 5
The normal distribution
Part A
(TO BE COMPLETED AND SUBMITTED ON MOODLE BY MIDDAY ON THE DAY BEFORE
YOUR TUTORIAL)
QA5.1. Instructions for the use of the normal distribution functions NORM.S.DIST,
NORM.S.INV, NORM.DI

ETF1100 Business Statistics
Tutorial 1
Information Relevant To All Tutorials
Tutorials 1&2:
The first two tutorials are about learning Excel, and using it to do statistical
calculations etc. Work done in these tutorials will help when attempting the
Assi

ETF3231/ETF5231 Business Forecasting
Topic 2: The forecasters toolbox
https:/www.otexts.org/book/fpp/2
Aim: build our toolbox with tools we will use throughout the
course so no real forecasting yet.
Topic 2: outline
1.
2.
3.
4.
5.
6.
7.
8.
Graphics (2.1)

ETF2100/5910 Introductory Econometrics
Tutorial exercises for week 6: The Multiple Regression Model
Students should attempt these questions before attending the tutorial.
Question 1
Consider PoE question 5.4 where our interest is on the model relating the

ETF2100/5910 Introductory Econometrics
Tutorial exercises for week 1: Summation and statistical concepts
Question 1.
Let x and y be two variables with the following sample values.
Observation
x
y
1
0
6
2
1
2
3
2
3
4
3
1
5
4
0
x
Calculate
(b)
The aim is to

ETF2100/5910 Introductory Econometrics
Tutorial exercises for week 1: Summation
Question 1
Let x and y be two variables with the following sample values.
(a)
Calculate
Observation
x
y
1
0
6
2
1
2
3
2
3
4
3
1
5
4
0
x
i
and
y . What are the sample means
x

library(fpp)
# Time plot
plot(melsyd[,"Economy.Class"])
View(melsyd)
# Plot the melsyd data with a main title and
# also add labels to the x and y axes
plot(melsyd[,"Economy.Class"],
main="Economy class passengers: Melbourne-Sydney",
xlab="Year",ylab="Tho