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Regression Analysis

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


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

Regression analysis and Hypothesis test - Multiple steps

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, 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

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

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

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

Two chi-square tests and linear regression analysis

(5a) Collect observed and expected data. Perform a chi-square goodness-of-fit test (chi-square test for differences in more than two proportions). Test plan: Hypothesis statements: Population description: Description of how the random sample was drawn: Sample size: Expected and observed values: Type of test: Level

Time series forecasting problem

Problem (see attached file) we are going time series techniques to predict non-retail sales for the next three months. Use the data in the file non retail time series for these exercises. 1. From the graph of the non retail sales data does there appear to be a seasonal component? If yes, what number of seasons do there a

Correlation Analysis

45. Five observations taken for two variables follow X 4 6 11 3 16 i Y 50 50 40 60 30 i a. Develop a scatter diagram with x on the horizontal axis. b. What does the scatter diagram developed in part (a) indicate about the relationship between the two var

Regression Statistics in Microsoft Excel

Identify a business research issue, problem, or opportunity facing an organization that can be examined using regression analysis. Describe the research issue, problem, or opportunity and the accompanying data. Then, perform a regression analysis on your data using Microsoft® Excel®. Finally, interpret the results of your regr

Least Square Method

See attached files for full problem description. 31. The following cross tabulation shows household income by education level of the head of household. Household Income (1000s) Under 25.0- 50.0- 75.0- 100 or Education level 25 49.9 74.9

Regression analysis problem

You are the manager of the PSC marina on the Missouri River. From observations in the past, you think there is a direct link between the river level and the amount of fuel you sell. As the level rises, your sales increase, and as it decreases, your sales decline. The owner of the marina just took a statistics class at Peru S