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    Regression Project

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    Business Management Masters of Business Administration Regression Project Estimating Stock Prices of Independent E&P Companies Assignment for Course: HR 533‚ Applied Managerial Statistics Submitted to: Professor Mohamed Nayebpour Submitted by: Leah A. O’Daniels Location of Course: Blended – Houston Campus & On-line Date of Submission: December 16‚ 2011 Regression Analysis: StockPrice versus Sales(B) The regression equation is StockPrice = 15.64 + 4.441 Sales(B) S = 11

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    Regression Assumption

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    EPI/STA 553 Principles of Statistical Inference II Fall 2006 Regression: Testing Assumptions December 4‚ 2006 Linearity The linearity of the regression mean can be examined visually by plots of the residuals against any of the independent variables‚ or against the predicted values. Chart 1 shows a residual plot that reveals no Chart 2 C hart 1 0.4 0.4 0.3 0.3 0.2 0.1 0.1 Residual Residual 0.2 0.0 -0.1 0.0 -0.1 -0.2 -0.2 -0.3 -0.3 -0.4 -0.5

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    Multiple Regression

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    Topic 8: Multiple Regression Answer a. Scatterplot 120 Game Attendance 100 80 60 40 20 0 0 5‚000 10‚000 15‚000 20‚000 25‚000 Team Win/Loss % There appears to be a positive linear relationship between team win/loss percentage and game attendance. There appears to be a positive linear relationship between opponent win/loss percentage and game attendance. There appears to be a positive linear relationship between games played and game attendance. There does not appear to be any relationship

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    Regression Model

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    1. Qeach brand t=β0+β1*PMinute Maid t+β2*PTropicana t+β3*PPrivate label t+ueach brand t Q: quantity P: price By running the above regression model for each brand‚ we got the following elasticity matrix and the figures for “V” and “C.” Note that we used the average price and quantity for P and Q to calculate each brand’s elasticity. Price Elasticity | Tropicana | Minute Maid | Private Label | Tropicana | -3.4620441 | 0.40596537 | 0.392997566 | Minute Maid | 1.8023329 | -4.26820251 | 0.765331803

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    Regression Ananaysis

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    reliability of the luggage system for any given flight? b. Installing surge protectors increases power supply reliability to 99.9%. What is the reliability of the new luggage system? Problem 6.5 The manager of Perrotti’s Pizza collects data concerning customer complaints about delivery. Pizza is arriving late‚ or the wrong pizza is being delivered. problem frequency Topping stuck to box lid 17 Pizza is late 35 Wrong topping or combination 9 Wrong style of crust 6 Wrong size 4

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    American Regression

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    Travis Foglesong Dr. Carter English 111-F23 February 19‚ 2013 The American Regression In Cal Thomas ’ article‚ “Is the American Dream Over?” he expresses a strong‚ anti-liberal opinion that explains why “the American dream” is lost. The article points out that the American society has become too dependent on a dysfunctional government while the key to a successful life in America used to lie in individual initiative. Certain traits‚ that had lead past generations to success‚ have been lost

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    Progressive Regression

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    Progressive Regression: A brief analysis of the post-Soviet democratization process of Azerbaijan The demise of the Soviet Union of December of 1991 did not only bring an end of the Cold War; it brought over two-hundred and ninety-three million souls spanning over eleven time zones out of the shadows that lurked behind an Iron Curtain. This unprecedented event in modern history gave birth to an era of transition for the fifteen republics that would emerge‚ providing the world with one of the most

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    today that dream is out of reach for an increasing number of Americans. Why? It is because there are not nearly enough jobs for everyone. Without a jobs recovery‚ there simply is not going to be a housing recovery. In this report‚ I will perform a regression analysis to determine the effect of the Unemployment Rate (UR) on Total New Houses Sold (TNHS). I expect that there will be a negative relationship between the two variables. In other words‚ as the unemployment rate increases‚ the total number of

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    retailers behavior towards Aircel in selected region. The data is collected directly by visiting outlets through structured interview scheduled. The statistical tools used to analyze the data are: Co-relation analysis‚ Simple Linear Regression and Multiple Linear Regression. The software used to analyze the data is Windostat version 8.6‚ developed by Indostat services‚ is an advanced level statistical software for research and experimental data analysis. The study is carried mainly in the areas like

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    SAS Regression 1

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    below: This data will be used to classify emails as junk mail or not. Create the data source and set the role for all variables‚ including the target variable appropriately. You can use the default values for everything else when creating the Data Source Partition the data into a 60/40 split with no data being used for Testing. Follow the steps shown in the process diagram. You will try out four different models as described below: Regression: This model is the default regression model with the

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