UNIVERSITI MALAYSIA PERLIS GROUP ASSIGNMENT EQT 271 ENGINEERING STATISTICS SEMESTER 2 SESSION 2012/2013

INSTRUCTIONS: 1. 2. 3. 4. Maximum of 5 persons in a group (should be in the same program). Due date: 28 MAY 2013. Report must be typewritten using A4 paper. The front cover for the report is as in Appendix 1.

In this assignment, you will apply concepts of data approximation and fitting to some real data generated from your surveys. Each modeling tool gives you another way to represent, simplify and make decisions about the real system you are dealing with. You will compute basic statistics of the data and make some statements about basic relationships between variables. For example; could height be related to weight? The report must include: 1. 2. 3. 4. Introduction Methodology Data Analysis Result and Conclusion

1.0 Introduction In your introduction section, you should have a briefly introduction about the background of your research. 2.0 Methodology 2.1 Collecting Data Collecting data can be in two ways; get data from your experiment in the lab and do survey! So what you should have in your data? Your variable must be more than one and your data must be in sample greater than 30. 2.2 Methodology and Data Analysis 2.2.1 Basic Statistics Your calculation for basic statistics must be in Excel and compute the mean, median, standard deviation. Also, you must develop a histogram using Excel.

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EQT 271 Engineering Statistics

2.2.2 Linear regression and correlation In linear regression, you should follows those instructions: 1. Choose one pair variables, first create the scatterplot (using Excel). Do this by simply plotting one variable as the x –axis and the other y-axis. Based on the scatterplot, comment on the relationship after fitting a simple curve, so you can be creative in pairing the variables. 2. Find the linear regression model by computing either manually or using Excel. 3. Compute the correlation...

...Project 1: LinearCorrelation and Regression Analysis
Gross Revenue and TV advertising:
Pfizer Inc, along with other pharmaceutical companies, has begun investing more promotion dollars into television advertising. Data collected over a two year period, shows the amount of money Pfizer spent on television advertising and the revenue generated, all on a monthly bases.
|Month |TV advertising |Gross Revenue |
|1 |17...

...Introduction to LinearRegression and Correlation Analysis
Goals
After this, you should be able to:
• • • • •
Calculate and interpret the simple correlation between two variables
Determine whether the correlation is significant Calculate and interpret the simple linearregression equation for a set of data Understand the assumptions behind regression analysis Determine...

...LinearRegression deals with the numerical measures to express the relationship between two variables. Relationships between variables can either be strong or weak or even direct or inverse. A few examples may be the amount McDonald’s spends on advertising per month and the amount of total sales in a month. Additionally the amount of study time one puts toward this statistics in comparison to the grades they receive may be analyzed using the...

...ahead with cash discounts as its promotion strategy? (10)
OBJECTIVE- DISCOUNT, WHETHER IT IS BETTER THAN FREE GIFTS.
DEPENDANT- SALES (TYPES OF PROMOTIONAL SCHEMES)
MU1 =MEAN SALE FROM CASH DISCOUNTS
MU2- MEAN SALES FROM FREE GIFTS
CORRELATION AND REGRESSION ASSIGNMENT
These days we have seen huge budgets are allocated to advertising and sales promotions by companies with aim of increasing sales and thereby increasing net profits of the company. I want...

...Chapter 13
LinearRegression and Correlation
True/False
1. If a scatter diagram shows very little scatter about a straight line drawn through the plots, it indicates a rather weak correlation.
Answer: False Difficulty: Easy Goal: 1
2. A scatter diagram is a chart that portrays the correlation between a dependent variable and an independent variable.
Answer: True Difficulty:...

...1 CORRELATION & REGRESSION
1.0 Introduction
Correlation and regression are concerned with measuring the linear relationship between two variables.
1.1 Scattergram
It is not a graph at all, it looks at first glance like a series of dots placed haphazardly on a sheet of graph paper.
The purpose of scattergram is to illustrate diagrammatically any relationship between two variables.
(a) If the...

...Linear -------------------------------------------------
Important
EXERCISE 27 SIMPLE LINEARREGRESSION
STATISTICAL TECHNIQUE IN REVIEW
Linearregression provides a means to estimate or predict the value of a dependent variable based on the value of one or more independent variables. The regression equation is a mathematical expression of a causal proposition emerging from a theoretical framework. The...

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