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    Regression Analysis

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    Sensitivity Analysis/Bernoulli Process/Decision Trees

    Our study group have various prospectives about the following questions. Please help us by answering based on your expertise. Many thanks. 1. Describe the use of sensitivity analysis and postoptimality analysis in analyzing the results. 2. Describe the characteristics of a Bernoulli process. How is a Bernoulli proce

    Coefficient of determination and correlation

    A sample of eight observations of variables x and y is shown below: [see attachment] The correlation of x and y is -0.991. 1) Calculate and interpret the coefficients of determination (R-squared xy and R-squared yx). 2) How is the value of the correlation coefficient affected in each of the following cases? a) each

    Regression

    5. For the following data: Case X Y 1 13 5 2 17 45 3 9 0 4 11 18 5 15 25 6 8 4 7 13 10 8 18 35 9 16 15 10 10 0 X-Bar = 13, SDx = 3.46; Y-Bar = 15.70, SDy = 15.28 a. Calculate slope a. b. Calculate y-intercept b. c. Write the regression equation including a and b below. Assume an unknown x. 6. Calculate

    Prediction of SAT by regression approch

    The correlation between IQ and the verbal SAT score among the seniors at GWB High School is .90; it is significant. The mean IQ is 100 with a standard deviation of 10. The mean SAT score is 500 with a standard deviation of 100. Predict SAT scores for seniors with the following IQs: 105,110,120

    Simple Linear Regression

    Simple Linear regression results: Dependant Variable : Stoppages Independent Variable : Temp Variability Stoppages = 5.740207 - 0.27559829 Temp Variability Sample Size: 16 R (correlation coefficient) - -0.04475 R-sq = 0.20022592 R-sq = 0.20022592 Estimate of Standard Deviation : 2.0759327 PARAMETER ESTIMATES: PARAM

    Explaining the Multiple Regression Analysis

    It is generally assumed that as world class runners speed up, their stride length increases. The average speed and stride length of world class runner was checked at 7 increments. You want to know if there is any relationship between speed and stride length. Do the following tasks and run a hypothesis test to see if there is any

    Regression Analysis and Interpretation

    Problem: The marketing department at Pepsi is trying to determine if the organization should allocate more money in the future for advertising new beverages. Another brand was recently added to the Pepsi brand portfolio, Pepsi Jazz. Data was collected over the past 20 months to ascertain the actual amount spent and the amount of

    Statistics- Linear Regression

    A survey was conducted to investigate the relationship between a contaminant and the time elapsed since the opening of a new road through open countryside. The levels were recorded over a ten day period using monitoring equipment situated half way along the new road. The results are given in the attached table. (i) Analyze t

    Regression, ANOVA, chi square test and students t test

    See attached file for full problem description. 1. A company has two different processes that make credit cards. Suspecting that machine B has a higher variability than machine A the manager orders a test to be run. The following data was collected: Machine A Machine B Sample size nA= 30 nB=40 Sample Standard Deviatio

    Multiple Regression Analysis

    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 make sure you include all the graphs, plots and please use megastat software

    Correlation Coefficient

    A manager wishes to find out whether there is a relationship between the number of radio ads aired per week and the amount of sales of the product. # of Ads 2 5 8 8 10 12 Sales Y 2 4 7 6 9 10 Develop the estimated regression equation. Predict the amount of sales for 7 Ads per week Predict the amount of sales for 15

    Statistical analysis case with regression data

    Attached you will find an Excel file with two sets of data, and a Word Doc with explanation to the case at hand. This is a conclusions based case using regression analysis, variables, scatterplots etc. See attached files for a description of the case study and a full problem description. Report requirements: 1. Use

    How to do this regression analysis using 250 from the dataset information.

    Using Excel as your processing tool, work through three simple regression analyses (word can also be used to explain, create graphs, and answer any questions listed below. First run a regression analysis using the BENEFITS column of 250 data points (see attached) in the AIU data set as the independent variable and the INTRIN

    Regression Analysis

    Using Excel as your processing tool, work through three simple regression analyses. 1. First run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and the INTRINSIC job satisfaction column of all data points in the AIU data set as the dependent variable. Create

    Business Statistics

    Business Statistics See attached [same as priors] - Using PHSTAT - Send Excel + Paste into Word

    Regression analysis: Unemployment problem

    A study provided data on variables that may be related to the number of weeks a manufacturing worker has been jobless. The dependent variable in the study (weeks) was defined as the number of weeks a worker has been Jobless due to a layoff. The following independent variables were used in the study. Age, Educ, married, Head (

    Calculating Sharpe's Ratio and Jensen's Alpha

    Understanding how to measure between risk and return by calculating Sharpe's Ratio and Jensen's Alpha. See attached file for full problem description. I want you to consider the optimal way to combine the ranking of funds by returns and risk. Using the 10 years of data provided, you will calculate the Sharpe ratio for each

    Solve: Time Series and Forecasting

    Question: Victor Anderson, the owner of Anderson Belts, Inc., is studying absenteeism among his employees. His workforce is small, consisting of only five employees. For the last three years he recorded the following number of employee absences, in days, for each quarter. Q

    Linear Regression and Correlation

    Mr. James McWhinney, president of Daniel-James Financial Services, believes there is a relationship between the number of client contacts and the dollar amount of sales. To document this assertion, Mr. McWhinney gathered the following sample information. The X column indicates the number of client contacts last month, and the

    Variables and level of measurement

    Air travel is the foremost mode of transportation in the world today. Pricing methods used by airlines have a profound affect on travelers, and affects their decision of whether or not to travel. When prices are high, vacationers will decide to stay closer to home, and business travelers with use other methods such as video conf

    Regression and Correlation

    As cheddar cheese matures, a variety of chemical processes take place. The taste of matured cheese is related to the concentration of several chemicals in the final product. In a study of cheddar cheese from the LaTrobe Valley of Victoria, Australia, samples of cheese were analyzed for their chemical composition and were subject

    Regression Analysis to Answer a Research Question

    Seeking a full statistical analysis of the attached data file to explain: H0: Engaging in low-cost, high-risk activities improves airline safety. Ha: Engaging in low-cost, high-risk enhancements do not improve airline safety. A. Answering the Research Questions Define the null and alternative hypotheses and state how t

    Multiple Choice questions on Forecasting: Time series, moving average

    Please refer to the attached table. Year Crop Yield Rainfall Temperature 1996 208 25 53.2 1997 215 28.2 58.5 1998 204 25.6 55.1 1999 196 23.5 52.6 25. We decide to construct a time series model to obtain a 2 and 3-period moving average to forecast student enrollments for next term. Which statement is true concerning

    Statistics Study Guide

    1. A time series is a collection of data recorded over a period of time, usually monthly, quarterly, or yearly. Two examples of time series are a department store's sales by quarter since opening in 1962 and the annual production of sulfuric acid since 1970. 0True 0False 2. Long-term forecasts are usually more than one y

    Statistics Questions - Regression Analysis

    1) Explain how we test independent against dependent variables in a regression analysis? What's the set up? 2) Does a correlation as presented in a regression analysis graph imply an actual casual relationship? For example - can I say with a high degree of confidence "that on every full moon a chimpanzee will scratch itsel

    Determining the Regression Line

    Having trouble determining how to show that the regression line will always go through x bar and y bar (means). Basically show that when you substitute in x bar for x in Bo + B1x and simplify, you will get y bar as answer.