*Regression*** Analysis** (Tom’s Used Mustangs)
Irving Campus
GM 533: Applied Managerial Statistics
04/19/2012
Memo
To:
From:
Date: April 19st, 2012
Re: Statistic

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STA9708
*Regression*** Analysis**: Literacy rates and Poverty rates
As we are aware, poverty rate serve as an indicator for a number of causes in the world. Poverty rates are linked with infant mortality, education, child labor and crime etc. In this project, I will apply the

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each of the variables specified in the model from the years 2003 to 2005.
The question that I will be answering in my *regression*** analysis** is whether or not wins have an affect on attendance in Major League Baseball (MLB). I want to know whether or not wins and other variables associated with attendance have a positive impact on a team's record. The y variable in my

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Revitalizing Dell: Forecast Dell’s 2009 and 2010 revenues • Work through the “Proposed Steps” of Case 9-1 Revitalizing Dell in your textbook
– Make lagged drivers – Use correlation to pick a lagged driver – Build a linear forecast model using ** regression**, perform DW test on residuals – Repeat if residuals do not pass DW test
• Forecast revenues and generate 95% prediction intervals for 2009 and 2010
6
Revitalizing Dell: Bright forecast
7
Revitalizing Dell: Harsh reality
8
Revitalizing...

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Quick Stab Collection Agency: A *Regression*** Analysis**
Gerald P. Ifurung
04/11/2011
Keller School of Management
Executive Summary
Every portfolio has a set of delinquent customers who do not make their payments on time.
The financial institution has to undertake collection activities on these customers to recover the
amounts due. A lot of collection resources are wasted on customers who are difficult or
impossible to recover. Predictive analytics can help optimize the allocation of...

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*Regression*** Analysis**: Predicting for Detroit Tigers Game
Managerial Economics
BSNS 6130
December 13, 2012
By:
Morgan Thomas
Chad Goodrich
Jake Dodson
Austin Burris
Brittany Lutz
Abstract
As there are many who invest in athletic events, the ability to better predict attendance to such events, such as the Detroit Tigers games, could benefit many. The benefits include being able to better stock concessions stands, allocate advertising budgets, and staff security. Therefore, the aim...

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*REGRESSION*** ANALYSIS**
Correlation only indicates the degree and direction of relationship between two variables. It does not, necessarily connote a cause-effect relationship. Even when there are grounds to believe the causal relationship exits, correlation does not tell us which variable is the cause and which, the effect. For example, the demand for a commodity and its price will generally be found to be correlated, but the question whether demand depends on price or vice-versa; will not be answered...

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A *regression*** analysis** of the number of establishments in the florists industry
Industry Description
Operators in the United States florists industry retail cut flowers, floral arrangements and potted plants. They purchase these products from domestic and international firms and sell them mostly to the local population. Currently, the traditional forists suffer from severe competition form online stores and supermarkets. This results in a decreasing...

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1,825 556 6 46
7 1,811 541 4 49
8 1,803 513 6 52
9 1,830 532 5 46
10 1,827 537 5 46
11 1,764 499 3 48
12 1,825 510 8 47
13 1,763 490 4 48
14 1,846 516 8 45
15 1,815 482 7 43
a. Determine the ** regression** equation.
Y = 1480.74 + 0.731xs + 9.99xp - 2.30xi
b. What is the value of R2? Comment on the values?
R2 = 0.835 .
c. Conduct a global hypothesis test to determine if any of the independent variables are different from zero.
Ho: B1=B2=B3=0
...

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*Regression*** Analysis** Exercises
1- A farmer wanted to find the relationship between the amount of fertilizer used and the yield of corn. He selected seven acres of his land on which he used different amounts of fertilizer to grow corn. The following table gives the amount (in pounds) of fertilizer used and the yield (in bushels) of corn for each of the seven acres.
|Fertilizer Used |Yield of Corn |
|120...

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PREDICT ARTIRIAL OXYGEN.
1. Always start with scatter plot to see if the data is linear (i.e. if the relationship between y and x is linear). Next perform residual ** analysis** and test for violation of assumptions. (Let y = arterial oxygen and x = blood flow).
twoway (scatter y x) (lfit y x)
regress y x
rvpplot x
2. Since

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2008:
H0: The variables will predict whether or not a team will make the playoffs.
H1: The variables will not predict whether or not a team will make the playoffs.
After running the ** regressions**, it’s clear that all of the variables are insignificant at the 5% level.
The only one that may have some significance is the rush rank, yet even that variable is not a great indicator of whether or not a team will make the playoffs.
The relationship between rush rank and making the playoffs is negative...

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flown on Northeast Airlines, a commuter firm serving the Boston hub, are shown for the past 12 weeks:
|Week |1 |2 |3 |4 |5 |6 |
|Demand |17 |19 |15 |21 |20 |23 |
Problem 7 [6]
A careful ** analysis** of the cost of operating an automobile was conducted by a firm. The following model was developed:
Y = 4,000 + 0.20X
where Y is the annual cost and X is the miles driven.
a) If the car is driven 15,000 miles...

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Economics
January 2013
Dominoes’ Pizza is considering entering the marketplace in my community of Middleburg, NC. Middleburg is a small town in Vance County, North Carolina located near the Virginia line. In this paper we are going to create a demand ** analysis** and forecast possible success for Dominoes opening a location in Middleburg, NC. We are also going to go over the demographics and other independent variables such as price of pizza, price of soda and other things offered by the company and how it...

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Statistical ** Analysis** for Quick Stab Collection Agency
Executive Summary
The purpose of the paper is to provide a statistical

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Data ** Analysis**
The first question of the set of 15 questions was about the age limit of the respondents. We collected all data from the age group starting from 15years. Most of the respondents fall into the age limit of 16-25 years which is 54% of the total respondents. 18of the 50 respondents were 26-35 years of age which is 36%.
[pic]
[pic]
Q1: your most preferable Schemes when you are Thinking about a savings account?
This was the question that gives the critical information...

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CWRU
** Regression** Project Report
OPRE 433
Tianao Zhang 12/5/2011
Introduction
According to the data I’ve received, there are 6578 observations. The data base is composed by 13 columns and 506 rows. All the explanatory variables are continuous as well as the dependent variable and there are no categorical variables. My goal is to build a

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Delta Song Case ** Analysis**
Possible cost drivers that will allow us to estimate a salary cost function for Delta are: available seat miles, number of departures, available ton miles, revenue passenger miles, and revenue ton miles. The two cost drivers we chose were revenue passenger miles and available ton miles. The salaries consist of payments to pilots, flight attendants and ticket agents. Their salaries are determined by the number of passengers and cargoes and the miles or hours flown. This is...

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cost of trucks and a variable component of fuel expense.
Since mixed cost figures are not useful in their raw form, therefore they are split into their fixed and variable components by using cost behavior ** analysis** techniques such as High-Low Method, Scatter Diagram Method and

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Data ** Analysis**
Descriptive Statistics, Estimation,

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sample proportions:
Resulting test statistic for difference between proportions:
Chapter 10 *Regression*** Analysis**: Estimating Relationships
Formula for Correlation:
Slope in simple linear

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Correlation and ** Regression** Assignment
Problem 1.
a. Explain which variable you chose as the explanatory variable and discuss why.
* The explanatory variable is the height. This is because I am assuming that as height increases, the weight will increase as well. So the weight is the dependent variable
b. Produce a scatter plot and insert the result here.
* Scatter plot
c. Find the equation of the

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Project: Multiple ** Regression** Model
Introduction
Today’s stock market offers as many opportunities for investors to raise money as jeopardies to lose it because market depends on different factors, such as overall observed country’s performance, foreign countries’ performance, and unexpected events. One of the most important stock market indexes is Standard & Poor's 500 (S&P 500) as it comprises the 500 largest American companies across various industries and sectors. Many people put...

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A CASE ** ANALYSIS** ON NORTH-SOUTH AIRLINE
I. CASE BACKGROUND
Northern Airlines merged with Southeast Airlines to create the fourth largest U.S. carrier in which it inherited both an aging fleet of Boeing 727-300 aircraft and Stephen Ruth.
As the new president of the airline, Stephen’s first concern is to create a financially solid company since it is a common presumption for airline industries that maintenance costs rise with the age of aircrafts.
He noticed that there have been significant differences...

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QM PROJECT
QUANTITATIVE METHODS – I PROJECT : ** ANALYSIS** OF AUTO TRAFFIC TO IIMKOZHIKODE CAMPUS GROUP : 26
1. 2. 3. 4. 5. 6.
MONISHA MEHROTRA USHA BHAKUNI PARTH LIMBACHIYA TARA RAJAGOPALAN M.ROHIT SULAGNA DATTA
- 26 - 57 - 89 - 120 - 151 - 183
Page 1
GROUP 26
QM PROJECT
INTRODUCTION :
This project was undertaken to document and analyze the number of autos entering the IIM Kozhikode campus. We felt it was important to undertake this project because, it’s a very pertinent and relevant...

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Introduction
This presentation on *Regression*** Analysis** will relate to a simple

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the following terms:
a. In what type of ** regression** is it likely to occur?
b. What is bad about autocorrelation in a

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Quantitative Methods Project
*Regression*** Analysis** for the pricing of players in the
Indian Premier League
Executive Summary
The selling price of players at IPL auction is affected by more than one factor. Most of these factors affect each other and still others impact the selling price only indirectly. The challenge of performing a multiple

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Project 1: Linear Correlation 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 |4.1 |
|2 ...

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slopes of the data in the periods before and after 911 were discovered and both periods are used. The data matches the usual modeling assumptions and thus, results are to be expected to be interpreted without contradictions.
HD' Market Rating ** Analysis** (MRA):
Jensen's Alpha ( ) was largely in the positive range. Therefore, Home Depot return was greater than the S&P return and HD outperformed the market. Beta ( ) was in the range of [1,1275959 to 1,0648879] and thus contained 1,0. So HD's risk/return...

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yoruself).
1. Data: one of the variables is dependent and other dependent. Can be multiple. Then do *regression*** analysis**. ANOVA for overall significance and

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Gm 533 Final Paper
Executive Summary
An ** analysis** was performed for Quick Stab Collection Agency. This agency specializes on relatively small accounts and avoids risky collections such as debtor that tends to be chronically late with payments or is known to be hostile. The collection business can be very profitable. Quick Stab Collection Agency has been known to purchase small accounts for $10.00 to collect a debt of $60.00.
The profitable of this agency depend critically on the numbers of days...

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Best Ways to Analyze Data in Order to Improve Decision-Making
Descriptive ** Analysis**:
Defined as quantitatively describing the main features of a collection of information. Descriptive

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CONJOINT ** ANALYSIS**
FOR
Mobile Phones
1. DEFINITION: Satisfying customers’ wishes is a challenge for many companies in the today’s rapidly changing and keenly competitive environment. A thorough knowledge of customer needs is even considered to be the foundation on which a company is built. Conjoint

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head: UNIT 5 INDIVIDUAL PROJECT
BUSN311
by Barbara Ryals
Quantitative Methods and ** Analysis**
Irene Tsapara
November 7, 2010
Benefits | Intrinsic | | | | | | | | |
1.4 | 5.5 | correl | | | | | | | |
5.4 | 5.5 | 0.209015 | | | | | | | |
6.2 | 5.2 | | | | | | | | |
2.3 | 5.3 | SUMMARY OUTPUT | | | | | | |
4.5 | 4.7 | | | | | | | | |
5.4 | 5.5 |

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Unit 5 – *Regression*** Analysis**
Darryl Gamble
American InterContinental University
Abstract
The following

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*Regression*** Analysis**: A Complete Example
This section works out an example that includes all the topics we have discussed so far in this chapter.
A complete example of

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zero. Why?
This just means that there is no linear correlation between all three variables advertising/location/price.
4) Run ** regressions** for each sales variable (s1, s2, s3) using P, A, L and independent variables. What do the

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information about the marking scheme.
* The coursework requires you to engage with *regression*** analysis** by performing various

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Chapter I
Introduction
*Regression*** analysis** is a statistical tool for the investigation of relationships between variables. The investigator seeks to ascertain the causal effect of one variable upon another—the effect of a price increase upon demand, for example, or the effect of changes in the money supply upon the inflation rate. To explore such issues, the investigator assembles data on the underlying variables of interest and employs

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Mortality Rates
*Regression*** Analysis** of Multiple Variables
Neil Bhatt
993569302
Sta 108 P. Burman
11 total pages
The question being posed in this experiment is to understand whether or not pollution has an impact on the mortality rate. Taking data from 60 cities (n=60) where the responsive variable Y = mortality rate per population of 100,000, whose variables include Education, Percent of the population that is nonwhite, percent of population that...

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S Debi / Prof. S. Tripathy Total Credits 2 Total Sessions 20 Course Contents Module 1 Goal of Firm Household Consumer Behavior Utility ** Analysis**, Demand Theory and Elasticity

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10 different characteristics[1]. This file was used to prepare a report on the influence of various options on asking price and to relay how this information could be used to set prices on used Mustangs. Statistical ** analysis** by Hypothesis Testing and Multiple

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fluctuations in oil prices and gold prices impact the stock market in the United States. So here oil prices and gold prices will be our explanatory variable and stock market index will be our explained variable. In this study we will use multiple *regression*** analysis** to explain the relationship.
The data is collected from years 1961 to 2010 so the sample size is 50. The explanatory variable gold is in average us dollars per ounce and crude oil is in average us dollars per barrel both are on yearly basis...

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I. Briefly explain the meaning of R-squared. A time series ** analysis** of demand tends to result in a higher R-squared than one using cross-sectional data. Why do you think this is the case?
R-squared measures the goodness of fit of a

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Costs Behave
Account ** analysis** method
Coefficient of determination
Conference method
Constant
Cost estimation
Cost function
Cost predictions
Cumulative average-time learning mode
Dependent variable
Experience vurve
High-low method
Incremental unit0time learning model
Independent variable
Industrial engineering method
Intercept
Learning curve
Linear cost function
Mixed cost
Multicollinearity
Multiple

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be appropriate for analyzing how a specific cost behaves is
a. the scattergraph method.
b. the industrial engineering approach.
c. linear programming.
d. statistical *regression*** analysis**.
3. When the high-low method is used to estimate a cost function, the variable cost per unit is found by
a. performing

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below:
a. (15 points) Fit the simple linear ** regression** model using the method of least squares.
b. (5 points) Estimate the mean porosity for a temperature of 1400 C.
Sol: a)
The

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can predict fluctuations in three-month US Treasury Bill yields. Using both simple and multiple *regression*** analysis**, we analyze the independent variables traditionally associated with risk free U.S. money market interest rates including the Consumer Price Index, the Industrial Production Index, and the Unemployment rate over two periods, July 1990-March 2001 and March 2001-December 2012. In our

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Contents
Background 3-4
*Regression*** Analysis** 5-6
Conclusion 7
References 8
Data 9
What affects do the unemployment rates have on crime level?
1. Purpose Statement
The purpose of this project is to determine how the rate of criminal activity (CRIME) is affected by the rate of unemployment (UNEMP), while also considering the affects of the fluctuation of Consumer Price Index (CPI). This study uses a time-series

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= ∑ (Zx * Zy) / N
Covariance = SP / N
Assumptions for r:
1) normal distribution of X and Y - check histograms
2) linear relationship between X and Y - check scatterplots
3) homoscedasticity - vertical distance between scatterplot dots and ** regression** line; indicates level of prediction error (aka “residual”)
Measurement
Reliability - correlation between X1 and X2 is an estimate of reliability (and is a limit for how X can correlate to anything else)
Test / Retest - same measurement...

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1) Running *regression*** analysis** on data for 24 cities, Excel Data

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** Regression** Project
Purpose:
The objective of this assignment is to expose you to the problems involved in building a

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themselves against it. Using Sensitivity ** Analysis** to Measure Economic Exposure. One method of measuring an MNC’s economic exposure is to separately consider how sales and expense categories are affected by various exchange rate scenarios. Firm’s should forecast Revenues and Costs in response to alternative changes. firms with more (less) in foreign costs than in foreign revenue will be unfavorably (favorably) affected by a stronger foreign currency. Using

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AJ Davis Department Stores - Project Part A, B, and C
Stacie Borowicz
June 14, 2013
Math 533
Project Part A – Exploratory Data ** Analysis**
Credit Balance ($)
Based on a sample of 50 customers, the credit balance for customers of Davis Department stores is on average $3970.00. Based on the graph, 18 of the 50 sampled fall below and 17 fell above the average. The standard deviation for credit balance is 931.9.
Income
Annual Income of Davis Department Stores customers range anywhere...

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graph along with the completed worksheet.
Question 1: What trend does the graph illustrate? (2)
4. After the graph is complete, right-click on one of the data points on the graph. Select ‘Add trendline”
5. Choose “Linear” for the trend/** regression** type. Then at the bottom of the window, select “display equation on chart” and “Display R-squared value on chart”.
Question 2: What is the line equation? What is the R2 value? (1)
Question 3: What do the numbers in the equation represent (What...

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Correlation coefficient with the market of -0.75
Beta coefficient of 0.5
It looks like security B is more risky because it has about the same as market return. Anything with positive beta has high risk compare to the one with negative beta. Stock ** analysis** use beta to measure stock risk. High
. A negative beta implies that security A would stabilize the returns on a portfolio since the returns on A are negatively correlated to the market.
The riskiness of a portfolio is determined by its beta value...

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using the excel *regression*** analysis**, the result is following:
Coefficients
Intercept
4191.64
X Variable 1
0.4765

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to hire a statistician and a
Human Resource’s Planner to collect and analyze data to help predict human resource needs and
to improve recruiting. They used a statistical method called *regression*** analysis** to make their
recruiting efforts more efficient. Once IS was able to gather data from the

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internally and also face lesser trouble while seeking external sources of financing.
4. Methodology
* This study is a descriptive ** analysis**.
* The total populations out of 6 industries 4 industries are selected for the research.
* The total sample size taken is 28 firms of 4 industries listed in Dhaka stock exchange.
* This study has used

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