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
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Introduction: The main idea of a multiple regression analysis is to understand the relationship between several independent variables and a single dependent variable. (Lind‚ 2004) A model of the relationship is hypothesized‚ and estimates of the parameter values are used to develop an estimated regression equation.(abyss.uoregon.edu) The multiple regression equation used to describe the relationship is: Y’ = a + b1X1 + b2X2 + b3X3 + . + bkXk. It is used to estimate Y given selected X values
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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 forecasts
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http://www.mathsisfun.com/data/standard-normal-distribution-table.html (Z table) http://www.sjsu.edu/faculty/gerstman/StatPrimer/t-table.pdf (t table) Critical Values (Z) Level of Significance 1% 2% 4% 5% 10% Two Tailed ±2.56 ±2.32 ±2.05 ±1.96 ±1.64 Right tailed +2.32 +2.05 +1.75 +1.64 +1.28 Left tailed -2.32 -2.05 -1.75 -1.64 -1.28 Q1) A cinema hall has cold drinks fountain supplying Orange and Ditzy Colas. When the machine is turned on‚ it fills a 550ml cup with 500ml of the
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Contents 1.0 Introduction and Motivation 2 2.0 Methodology 5 2.1. Descriptive Statistics 5 2.2 Matrix of pairwise correlation. 6 3.0 Model Specification 6 3.1 Linear Regression Model. 6 3.2 The Regression Specification Error Test 8 3.3 Non-linear models 9 3.4 Autocorrelation. 10 3.5 Heteroskedasticity Test 10 4.0 Hypothesis Testing 11 5.0 Binary (Dummy) Variables 11 6.0 Conclusion 13 Reference List 13 1.0 Introduction and Motivation Crude oil is one of the world’s most important natural
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Unit 5 – Regression Analysis Darryl Gamble American InterContinental University Abstract The following analysis charts will help determine the overall satisfaction or dissatisfaction that employees feel about the company they work for and the management team of that company. The final analysis will let management know if anything needs to be corrected. Introduction Job satisfaction is made up of many things. Management sometimes needs some hope in evaluating how good of a job
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Linear Regression & Best Line Analysis Linear regression is used to make predictions about a single value. Linear regression involves discovering the equation for a line that most nearly fits the given data. That linear equation is then used to predict values for the data. A popular method of using the Linear Regression is to construct Linear Regression Channel lines. Developed by Gilbert Raff‚ the channel is constructed by plotting two parallel‚ middle lines above and below a Linear Regression
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1.0 Background Information 4 1.1 Limitations of Analysis 4 2.0 Data analysis 4 2.1 Foreign exchange rate between AUD and USD (AUD/USD) 5 2.2 Foreign exchange rate between RMB and USD (RMB/USD) 7 2.3 Comparison of exchange rates of AUD/USD and RMB/USD 8 3.0 Relationship between AUD/USD and RMB/USD 10 4.0 Hypothesis testing 11 5.0 Factors Analysis 13 5.1 Inflation rate 13 5.2 Interest rate 13 6.0 The effects of exchange rate movements 13 6.1 American dollar depreciation 14
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Unemployment and Crime: An analysis of the Cointegration and the Socio-economic Impacts of Unemployment on Crime Marvin A. Cole Strayer University Economics 405‚ Section 004016 Professor Stradtner March 28‚ 2010 Unemployment and Crime: An analysis of the Cointegration and the Socio-economic Impacts of Unemployment on Crime In today’s society‚ we are faced with an alarming situation with tends to plaque us and have made it on many of our chief economist and researchers list. Evidence
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Unit 5 – Regression Analysis Mikeja R. Cherry American InterContinental University Abstract In this brief‚ I will demonstrate selected perceptions of the company Nordstrom‚ Inc.‚ a retailer that specializes in fashion apparel with over 12 million dollars in sales last year. I will research‚ review‚ and analyze perceptions of the company‚ create graphs to show qualitative and quantitative analysis‚ and provide a summary of my findings. Introduction Nordstrom‚ Inc. is a retailer
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