Explore BrainMass

Regression Analysis

Multiple regression analysis with the attached data

1. Can I perform a multiple regression analysis with the attached data that I've collected without changing that data or adding to it? Please explain why or why not to help me understand. 2. Can I perform a multiple regression analysis with the attached data that I've collected and additional data derived from that collectio

Regression Formula

I'm not sure of how to use the regression formula correctly to compute a simple regression equation y = mx + b for the data that I attached. What would the approximate number of housing starts be at the following interest rates: 8.5%, 4.5%, 3.7%, 2.3% If I were the owner of a business in the housing construction sect


Using Excel as your processing tool, work through three simple regression analyses. 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 a

Regression analysis of annual sales based on advertising expense

Reliable Furniture is a family business that has been selling to retail customers in the Chicago area for many years. They advertise extensively on radio and TV, emphasizing their low prices and easy credit terms. The owner would like to review the relationship between sales and the amount spent on advertising. Below is informat


Manatees are large, gentle sea creatures that live along the Florida coast. Many manatees are killed or injured by powerboats. Here are data on powerboat registrations (in thousands) and the number of manatees killed by boats in Florida in the years 1977 to 1987. (a) Which is the explanatory variable? Make a scatterplot of th

Managerial Decision Making - Statistics Problem 1999

The enrollment in the College of Business at Midwestern University by quarter since 1999 is: Quarter Year Winter Spring Summer Fall 1999 2,033 1,871 714 2,318 2000 2,174 2,069 840 2,413 2001 2,370 2,254 927 2,704 2002 2,625 2,478 1,136 3,001 2003 2,803 2,668 ? ? Using the ratio-to-moving-average method

Least Squares Trend Estimation for Number of Employees

See the attached file for full problem. The number of employees, in thousands, of Keller Overhead Door, Inc. for the years 1998 to 2003 are: Year Employees Year Employees 1998 45.6 2001 39.3 1999 42.2 2002 34.0 2000 41.1 2003 30.0 a. Plot the data. b. Determine the least squares trend equation. c. Use the t

Predictions from Regression Equations

Use the following sets of data to calculate the coefficient of determination, the total variation, explained variation, and unexplained variation. x 6 2 3 1 4 y 12 6 9 1 10

Managerial Decision Making - Regression Analysis.

A consumer buying cooperative tested the effective heating area of 20 different electric space heaters with different wattages. Here are the results. Heater Wattage Area 1 1,500 205 2 750 70 3 1,500 199 4 1,250 151 5 1,250 181 6 1,250 217 7 1,000 94 8 2,000 298 9 1,000 135 10

Steps of analysis of CIA data using regression and correlation analysis.

Refer to the CIA data, which reports demographic and economic information on 46 countries. Let unemployment be the dependent variable and percent of the population over 65, life expectancy, and literacy be the independent variables. a. Determine the regression equation using a software package. Write out the regression equati

Independent Variables

See attached file for full problem description. Suppose that the sales manager of a company wishes to evaluate the performance of the company's sales representatives. Each sales representative is solely responsible for one sales territory, and the manager decides that it is reasonable to measure performance of a sales represe

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

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

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