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 regression analysis on more than 25 independent variables where a clear...
1480 Words | 6 Pages
CHAPTER 13 CORRELATION AND REGRESSION ANALYSIS OUTLINE 4.1 Definition of... Correlation Analysis 4.2 Scatter Diagram and Types of Relationships 4.3 Correlation Coefficient 4.4 Interpretation of Correlation Coefficient 4.5 Definition of Regression Analysis 4.6 Dependent and Independent Variables 4.7 Simple Linear Regression: Least Squares Method 4.8 Using the simple Linear Regression equation 4.9 Cautionary Notes and Limitations OBJECTIVES By the end...
1792 Words | 11 Pages
Introduction This presentation on Regression Analysis will relate to a simple regression model. Initially, the... regression model and the regression equation will be explored. As well, there will be a brief look into estimated regression equation. This case study that will be used involves a large Chinese Food restaurant chain. Business Case In this instance, the restaurant chain's management wants to determine the best locations in which to expand their restaurant business. So far the most...
1285 Words | 6 Pages
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...
1438 Words | 6 Pages
MATH533: Applied Managerial Statistics PROJECT PART C: Regression and Correlation Analysis Using MINITAB... perform the regression and correlation analysis for the data on SALES (Y) and CALLS (X), by answering the following questions: 1. Generate a scatterplot for SALES vs. CALLS, including the graph of the "best fit" line. Interpret. After interpreting the scatter plot, it is evident that the slope of the ‘best fit’ line is positive, which indicates that sales amount varies directly...
1056 Words | 5 Pages
Important EXERCISE 27 SIMPLE LINEAR REGRESSION STATISTICAL TECHNIQUE IN REVIEW Linear regression 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 linkage between the theoretical statement and the equation is made prior to data collection and analysis. Linear regression is a statistical method of estimating...
2726 Words | 7 Pages
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 regression analysis learned in the Statistics course to study the relationship between literacy rates and poverty rates among different states in USA. In my study, the poverty rates will be the independent variable (x) and literacy...
661 Words | 3 Pages
REGRESSION ANALYSIS (SIMPLE LINEAR REGRESSION) Submitted By Maqsood Khan MS - MANAGEMENT... SCIENCES, 2nd SEMESTER Submitted TO GOHAR REHMAN ASSISTANT: PROFESSOR, SUIT Sarhad University Of Science And Information Technology Peshawar SESSION: 2012-13 TABLE OF CONTENTS |S. No. |Subjects |Page No. | |1 | |Introduction ...
2062 Words | 9 Pages
How to Analyze the Regression Analysis Output from Excel In a simple regression model, we are... trying to determine if a variable Y is linearly dependent on variable X. That is, whenever X changes, Y also changes linearly. A linear relationship is a straight line relationship. In the form of an equation, this relationship can be expressed as Y = α + βX + e In this equation, Y is the dependent variable, and X is the independent variable. α is the intercept of the regression line, and β is the...
983 Words | 4 Pages
Estimation by Regression Method – Some Statistical Concepts for application ( All the formulae marked in red for remembering. The rest is for... your concept) In case of demand estimation working with data on sales and prices for a period of say 10 years may lead to the problem of identification. In such a case the different variables that may have changed over time other than price, may have an impact on demand more rather than price. In order to void this problem of identification what we adopt is...
1052 Words | 3 Pages
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 variables are related, what kind of relationship it is, linear or nonlinear...
1523 Words | 9 Pages
Forecasting Models: Associative and Time Series Forecasting involves using past data to generate a number, set of... numbers, or scenario that corresponds to a future occurrence. It is absolutely essential to short-range and long-range planning. Time Series and Associative models are both quantitative forecast techniques are more objective than qualitative techniques such as the Delphi Technique and market research. Time Series Models Based on the assumption that history will repeat...
1499 Words | 6 Pages
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 ...
363 Words | 3 Pages
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 Analysis on price settings Various hypothesis tests were compared as well as several multiple regressions in order to identify the factors that would manipulate the selling price of Ford Mustangs. The data being used contains observations on 35 used Mustangs and 10 different characteristics. The test hypothesis that...
1726 Words | 7 Pages
Introduction to Linear Regression 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 linear regression equation for a set of data Understand the assumptions behind regression analysis Determine whether a regression model is significant Goals (continued) After this, you should be able to: • Calculate and...
3123 Words | 26 Pages
financial tracking. Managers constantly struggle during the attempt of finding ways to move their businesses forward. Description of the... Regression AnalysisRegression analysis is a statistical tool used in analyzing relationships between two quantitative variables based on the value of another. (Doane and Steward, 2007, Ch.12) The goal of regression analysis is to determine the values of parameters for a function that cause the function to best fit a set of selected data observations. Team B feels...
829 Words | 4 Pages
VERSUS MULTIPLE REGRESSION The difference between simple and multiple regression is similar to the difference... between one way and factorial ANOVA. Like one-way ANOVA, simple regression analysis involves a single independent, or predictor variable and a single dependent, or outcome variable. This is the same number of variables used in a simple correlation analysis. The difference between a Pearson correlation coefficient and a simple regression analysis is that whereas the correlation does not distinguish...
511 Words | 2 Pages
This article considers the relationship between two variables in two ways: (1) by using regression... analysis and (2) by computing the correlation coefficient. By using the regression model, we can evaluate the magnitude of change in one variable due to a certain change in another variable. For example, an economist can estimate the amount of change in food expenditure due to a certain change in the income of a household by using the regression model. A sociologist may want to estimate the increase...
495 Words | 2 Pages
contrast various forecasting methods while also elaborating on the method that my current employer use for forecasting sales and... mobile identification number (MDN) requirements. Forecasting Assignment Forecasting is the ability to plan ahead for future expectations of what the future may hold. For example, business forecast every year for what they feel that particular company should accomplish. A sales department forecasts how many sales not only the department should do as a hole but how many sales...
1499 Words | 4 Pages
elements in becoming a leaner operation is how to balance the inventory dollar levels against the sales dollar levels. A regressive... analysis study between inventory and sales dollars could provide the direction needed to find the balance and lean financial requirements of Dominion's upper management team. Description of the Regression AnalysisUniversity of Phoenix defined regression analysis as a statistical tool used to estimate the value of variable based on the value of another (University of...
1448 Words | 5 Pages
Gender Discrimination: A Statistical Analysis Gender discrimination, or sex discrimination, may be characterized as the unequal treatment of a... person based solely on that person's sex. . It is apparent that gender discrimination is pervasive in the modern workplace, however, its presence and effects are often misrepresented and misunderstood. Statistical testing plays an important role in cases where the existence of discrimination is a disputed issue and has been used extensively to compare expected...
1173 Words | 3 Pages
Regression Analysis PaperNextel Communications, Inc. is the nation's leading carrier of fully integrated, all-digital wireless... service, which includes 2-way radio, wireless telephone service, text/numeric paging, and wireless web. Fleet Call, Inc was the original name of the company that started in April of 1987. Shortly there after, the company changed their name to Nextel, Inc. In July, 1994 Nextel and OneComm formally CenCall Communications, Inc announced a merger. A month later Nextel merged...
1587 Words | 5 Pages
MULTIPLE REGRESSION ANALYSIS USING DUMMY VARIABLE HDI Regression Using Health, Education &Income... 3/21/2012 Department Of Business Economics Jasmine Kaur(598) Kshama (577) Maanya Kaushik ShikhaChaurasia(600) ABSTRACT In this project we have employed tools of empirical econometric analysis to examine the relationship between the Human Development Index and the indicators of Human Development. Table of contents Topics...
1439 Words | 6 Pages
| |15,000 |1,500 | |52,000 |6,000 | Answer the following... questions: A. What kind of correlation do you expect to find between annual income and amount spent on car? Will it be positive or negative? Will it be a strong relationship? Base your answer on your personal guess as well as by looking through the data. The annual income and amount of money spent on a car correlates that generally the greater...
930 Words | 4 Pages
Making Decisions Based on Demand and Forecasting Greg Wells Professor Dr. E.T. Faux Managerial Economics and Globalization... October 20, 2012 1. Report the demographic and independent variables that are relevant to complete a demand analysis providing a rationale for the selection of the variables. The independent variables for this report will be population, average income per household, age of population, and the price of pizza. A key determinant...
988 Words | 4 Pages
less accurate intuition of what causes room rates to diverge. However, they do not know how Online Travel Agent sites select the... leading hotels to be placed on their first search page. In this respect, some determinants are expected to be associated with hotel prices in a more or less linear way. To say it differently, price differences between hotels underscore the presence or not of some variables expected to influence the latter. It is essential for hotels to understand how they can price their rooms...
7495 Words | 25 Pages
Forecasting Methodology Forecasting is an integral part in planning the financial future of any business and allows the company... to consider probabilities of current and future trends using existing data and facts. Forecasts are vital to every business organization and for every significant management decision. Forecasting, according to Armstrong (2001), is the basis of corporate long-run planning. Many times, this unique approach is used not only to provide a baseline, but also to offer a prediction...
1482 Words | 4 Pages
evaluation. This assignment illustrates, at a rudimentary level, how models, techniques and methods constructed or borrowed from Economic... Theory or other Sciences respectively are used to help accomplish these tasks. To do so, we consider a standard theoretical model of consumer choices in an economy in which the only activity is the exchange of goods. Due to the above-mentioned we can say that the most powerful technique used to predict the consequences of policies or future trends is modeling...
1445 Words | 6 Pages
order to test my economic model, I have compiled data for 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 analysis is going to be attendance for each baseball team. I collected the...
1218 Words | 3 Pages
Chapter 1 Multivariate analysis refers to all statistical techniques that simultaneously analyze multiple measurements on individuals or... objects under investigation. Factor analysis identifies the structure underlying a set of variables Discriminant analysis differentiates among groups based on a set of variables. All the variables must be random and interrelated in such ways that their different effects cannot meaningfully be interpreted separately. Nonmetric measurement scales Nominal...
3526 Words | 13 Pages
Forecasting Business forecasting is the process of studying historical performance for the purpose of using the information... gained to project future business conditions so that decisions can be made today that will assist in the achievement of certain goals. Forecasting involves taking historical date and using it to project future data with a mathematical model. Forecasts are extensively used to support business decisions and direct the work of operations managers. In this paper I will introduce...
1319 Words | 5 Pages
Park University Multiple Regression Analysis Pamela Lima EC315 Quantitative Research Methods Dr. Bell... 11/22/2013 Multiple Regression Analysis Miami Heat Average Attendance per season Miami Heat History The Miami Heat is a professional basketball team, based in Miami, Florida. The team is a member of the Southwest Division in the Eastern Conference of the National Basketball Association (NBA). The Miami Arena was the home of the Heat until the end of the 1999. The American...
730 Words | 6 Pages
QUANTITATIVE METHODS:- Quantitative methods of forecasting include ASSOCIATIVE (CAUSAL) MODELS:- There is a causal... relationship between the variable to be forecast and another variable or a series of variables. (Demand is based on the policy, e.g. cement, and build material. Causal Model: Demand for next period = f (number of permits, number of loan application....) There is no logical link between the demand in the future and what has happened in the past. There are other factors which can...
1125 Words | 4 Pages
-6572254876800DATA ANALYSIS & REGRESSION MODEL 00DATA ANALYSIS & REGRESSION MODEL... 381000257810SUBMITTED BY ASHISH PURI-12750765 SUMIT BANSAL-12856490 RAGHUPATI SHARMA-12650445 SUBMITTED BY ASHISH PURI-12750765 SUMIT BANSAL-12856490 RAGHUPATI SHARMA-12650445 CONTENTS ACKNOWLEDGEMENT INTRODUCTION COLLINEARITY REGRESSION LINEAR REGRESSION MULTIPLE REGRESSION ANOVA HYPOTHESIS ANALYSIS RESIDUAL DISTRIBUTION PREDICTION CONCLUSION REFERENCES ACKNOWLEDGEMENT We would...
1354 Words | 4 Pages
Consumer Research, Inc. is investigating whether there is any correlation between specific characteristics of credit card users... and the amount these users charge on credit cards. Their objective is to determine if these characteristics can accurately predict the annual dollar amount charged by credit card users. Data was collected from a sample of 50 credit card consumers presenting information on the annual income (referred as Income), size of household (referred as Household), and the annual...
1507 Words | 5 Pages
Linear Regression 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 regression method. The formal definition of Regression Analysis...
1253 Words | 4 Pages
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...
434 Words | 3 Pages
customers regarding four variables, oil usage, degree days, a measure of the difference in temperature from 68 degrees Fahrenheit over the... period since the last tank fill up, the number of people living in the home, and a home index that measures the energy efficiency of the homes. The results of the linear regression models that were tested showed that degree days and the home index were significant predictors of heating oil usage. Based on the results of the linear regression analysis, a forecast was...
4214 Words | 12 Pages
reproductive behavior. We have reasons to believe that the declining fertility rate in developed countries is closely associated with the increase in... women with a higher education. Examples for this kind of phenomenon are Italy, Japan, France, etc. In this study we therefore decided to investigate in the relationship between the level of education and the fertility rate in Mexico. As Mexico is an emerging market with an increasing economy it is also of interest to find out if a higher level of education...
1552 Words | 6 Pages
To address these challenges, forecasting is used. According to Makridakis (1989), forecasting future events can be... characterized as the search for answers to one or more of the following questions: X What new economic, technical, or sociological forces is the organization likely to face in both the near and long term? X When might these forces impact the firm¡¦s objective environment? X Who is likely to be first to adapt to each competitive challenge? X How much change should the firm anticipate...
1707 Words | 5 Pages
Eleven Multivariate Analysis Techniques: Key Tools In Your Marketing Research Survival Kit by Michael Richarme Situation 1: A harried... executive walks into your office with a stack of printouts. She says, “You’re the marketing research whiz—tell me how many of this new red widget we are going to sell next year. Oh, yeah, we don’t know what price we can get for it either.” Situation 2: Another harried executive (they all seem to be that way) calls you into his office and shows you three proposed...
2223 Words | 7 Pages
Tourism Research, Vol. 29, No. 1, pp. 257–260, 2002 2001 Elsevier Science Ltd. All rights reserved. Printed in Great Britain 0160-7383/01/$22.00 Push... and Pull Relationships Seong-Seop Kim Sejong University, South Korea Choong-Ki Lee Dongguk University, South Korea Uysal and Jurowski (1994) found that there is a relationship between push and pull factors. Dann (1977) referred to motivational inﬂuences on an individual as push factors. These are psychological needs which play a signiﬁcant role...
1724 Words | 6 Pages
Interest Rate Forecasting using Regression Analysis Introduction Forecast of interest rates can be done in... many different ways, qualitative (surveys, opinion polls) as well as quantitative (reduced form and structural approaches)* Example of methods in quantitative approaches - Regression method - Univariate method (e.g. ARIMA) - Vector autogressive models (VAR) - Single equation approaches - Structural systems of simultaneous equations This paper will focus on the structural...
1593 Words | 9 Pages
MATH 231: Basic Statistics Homework #5 – Correlation and Regression: 1). Bi-lo Appliance Super-Store has outlets in several large... metropolitan areas in New England. The general sales manager aired a commercial for a digital camera on selected local TV stations prior ro a sale starting on Saturday and ending on Sunday. She obtained the information for Saturday-Sunday digital camera sales at the various outlets and paired it with the number of times the advertisement was shown on local TV stations...
617 Words | 8 Pages
Formula Study Guide MISCELLANEOUS, COMMONLY USED FORMULAS Finite population correction factor: Multiply SE of sample mean by fpc to make... the correction ------------------------------------------------- Independent samples of same population with same standard deviation (variances are equal). Confidence interval: df for t-multiple is (df1 + df2), or (n1 – 1) + (n2 - 1) Pooled estimate of common standard deviation: SE of difference between two sample means ------------------------------------------------- ...
853 Words | 7 Pages
Correlation and Regression Analysis Use of Correlation and Regression ... Relation between two variables Correlation tests statistical significance of the relation (how much are they related?) Regression tries to fit in a equation to define the relation (what is their relation?) Correlation Sales Promotion Expenses and Sales Advertising Expenses and Sales Population growth and sales Sensex and stock price Weights and their lengths 1 2 3 4 5 6 7 Units of Units of weight (x) length...
369 Words | 12 Pages
Statistical Analysis for Quick Stab Collection Agency Executive Summary The purpose of the paper is to provide a... statistical analysis of overdue bills for Quick Stab Collection Agency (QSCA). The data will be taken from accounts closed over a six month period. The goal is to determine if a correlation between the type of account, the amount of the bill and the days to collection exists. To determine the existence of a correlation, regression analysis of several variables was completed. This...
1796 Words | 7 Pages
Logistic regression In statistics, logistic regression, or logit regression, is a type of... probabilistic statistical classification model.[1] It is also used to predict a binary response from a binary predictor, used for predicting the outcome of acategorical dependent variable (i.e., a class label) based on one or more predictor variables (features). That is, it is used in estimating the parameters of a qualitative response model. The probabilities describing the possible outcomes of a single...
1743 Words | 3 Pages
CHAPTER 4: FORECASTING TRUE/FALSE 1. Tupperware only uses both qualitative and quantitative forecasting techniques,... culminating in a final forecast that is the consensus of all participating managers. False (Global company profile: Tupperware Corporation, moderate) 2. The forecasting time horizon and the forecasting techniques used tend to vary over the life cycle of a product. True (What is forecasting? moderate) 3. Sales forecasts are an input to financial planning, while demand...
5941 Words | 24 Pages
The Relationship between Systematic Risk and Profitability : A Case Study of Selected Banking Institutions in Sri Lanka... Research proposal submitted by: Mr. Kanapathippillai Kiritharan Reg.No-2009/BAD/040 Research proposal submitted by: Mr. Kanapathippillai Kiritharan Reg.No-2009/BAD/040 Department of Accounting Faculty of management studies and commerce University of Jaffna 2013 Department of Accounting Faculty of management studies and commerce University of Jaffna 2013 ...
1511 Words | 7 Pages
I need help to create a multiple regression anlysis for this problem. Please provide as much explanation as you can. Please see... attached files. My research is based on this topic below. The data is attached in the spreadsheet. This is a multiple regression analysis. I have attached a PDF file that explains the case and the spreadsheet version with all the data recorded from the PDF file. Pleas emae sure you include all the graphs, plots and please use megastat software. Topic: We want to...
1131 Words | 6 Pages
Regression Analysis of Pricing of IPL Players | Project Report | | | | | Pricing of Players in the Indian... Premier League Executive Summary In the project, price for the players in IPL are analysed against various factors. Not all factors drove the price of a player were directly related to their performance on the field, whereas there are specific factors which had a direct impact on player’s remuneration. These factors ranged from performance measure of players such as Strike...
815 Words | 4 Pages
Regression Analysis Abstract Quantile regression. The Journal of Economic Perspectives This paper is formulated... towards that of regression analysis use in the business world. The article used for this paper was written in order to understand the meaning of regression as a measurement tool and how the tool uses past business data for the purpose of future business economics. The research mentioned in this article pertained to quantile regression, or how percentiles of specific data are used in...
705 Words | 2 Pages
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...
1048 Words | 12 Pages
Accountability Modules WHAT IT IS Return to Table of Contents Data Analysis: Analyzing Data - Inferential Statistics... Inferential statistics deal with drawing conclusions and, in some cases, making predictions about the properties of a population based on information obtained from a sample. While descriptive statistics provide information about the central tendency, dispersion, skew, and kurtosis of data, inferential statistics allow making broader statements about the relationships between data. Inferential...
1742 Words | 7 Pages
Statistical Inference – What inferences (generalizations) can be made about the population based upon the information contained in a sample.... 3. Regression and Correlation Analysis - Regression finds the equation of the average relationship between variables. Correlation determines the strength or significance of the relationship. a. Simple Linear Relationship Unknown Population Known Sample Infer (Relationship Between X and Y) ...
396 Words | 11 Pages
Effect of Ratio Profitability: Return on Asset (ROA) and Return of Equity (ROE) to Stock Price of PT Bank Central Asia (BCA) Tbk. Ratio profitability,... Return on Asset (ROA) and Return of Equity (ROE), of a firm is used as one of parameters for investor to decide whether they want to invest or not. The following table consists of ROA and ROE as well as the stock price of PT Bank Central Asia (BCA) Tbk., as one of the largest bank in Indonesia, from year of 2002 up to 2011. Table 1. ROA, ROE...
660 Words | 3 Pages
Correlation Research Method PS300-02 Research Methods I... Kaplan University Laura Owens February 12th, 2012 As we read this essay, we should get a better understanding of when it is appropriate to use the correlational research method; supplying an example that illustrates the use of correlational method, from a credible...
1199 Words | 4 Pages
VARIABLES THAT INFLUENCE WOMEN IN PARLIAMENT Abstract: Women are consistently underrepresented in political systems around the world. In this... research, I examine factors such as the gender equality scale, education, ratio of female to male income and cultural diversity and their impact on the percentage of women in government. My findings reinforce my hypotheses; all four independent variables have statistically significant effects on women in parliament, with the ratio of female to male income...
1269 Words | 5 Pages
and effective decisions in business are needed to implement every day. The business manager has the responsibility to make decisions for the improvement of... the company. To make this be possible, forecasting of sales is necessary. Sales forecast is a prediction based on past sales performance and an analysis of expected market conditions (Evetts, 1990). It can help the marketer develop marketing strategies such as in territorial set-up, target market or the product distribution, pricing schemes or...
4920 Words | 30 Pages