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Regression Analysis

The Owner of Maumee Motors

The owner of Maumee Motors wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at Maumee Motors during the last year. A). If we want to estimate selling price based on the age of the car, which variable is the dependant variable and which is th

Survival, correlation, and regression

1. Variables x and y each have standard deviations of 20. Their correlation is 0.6. The best fit line passes through the Y axis at Y = 40. Write the regression line. If a subject is 10 on x, what do you predict for Y? 2. You are looking through a book of new car ratings, and you decide to see how car weight influences EPA

Regression Analysis

Sales and Advertising expenses are used for the simple regression data attached. Sales is the dependent variable and Advertising Expense is the independent variable. The results are on the spreadsheet, with the relevant items in boldface. In practical terms, - How do I convert the above information to an equation I can

Various statistical problems

Please complete the following 5 questions in a Microsoft Word file: 1. When is it appropriate to use a time series approach to a business setting? When can it be applied to project management? 2. What are examples where control charts are used in your workplace to monitor quality control? What are the goals and objectives

Regression and business

(See attached file for full problem description with diagrams) --- 2. The following sample observations were randomly selected. Determine the coefficient of correlation and the coefficient of determination. Interpret. 3. Bi-lo Appliance Stores has outlets in several large metropolitan areas. The general sales manager

Relating statistics to solve business related problems

Need guidance on how to approach a statistics paper. Problem: utilize statistics to solve a business related problem. The synopsis should include a discussion of the specific problem, the research methodology used, the quantitative and qualitative tools employed in the study, and the benefit and limitations of the research stud

Regression to the mean

We expect that students who do well on the midterm exam in a course will usually also do well on the final exam. Gary Smith of Pomona College looked at the exam scores of all 346 students who took his statistics class over a 10-year period. *The least-squares line for predicting final exam score from midterm exam score was y

Linear regression and Correlation

A. What is linear regression? b. What can linear regression do for you - both in a general business sense and specifically to your place of employment, or circle of influence? c. What are some of the limitations of regression analysis? a. What is correlation analysis and why is it important to us when we are using regres

Regression and Hypothesis

The director of an investing group believes that the sales generated by a broker is related to the number of new clients a broker brings to the firm. The director believes that a linear regression model would help in the forecasting of expected sales from the brokers. To build the model the director takes a random sample of 12

Regression Model with Advertising Expenditures and Price Index

Laura wanted to build a multiple regression model based on advertising expenditures and coffee times price index. Based on the selection of all normal values she obtained the following: 1) Multiple R = 0.738 2) R-square = 0.546 By using lagged values she came up with the following: 3) Multiple R = 0.755 4) R-square

Regression

Find a bivariate data set relating to your work with a sample size of 10 or more. a) Determine which is the dependent variable Y and which is the independent variable X. Explain your reasoning. b) Draw a scatterplot and indicate the relationship if any. Explain. c) Compute the least-squares regression equation. Show majo

Interpret the multiple regression analysis

EXHIBIT 1: A manager at a local bank analyzed the relationship between monthly salary and three independent variables: length of service (measured in months), gender (0=female, 1=male) and job type (0=clerical, 1=technical). The following tables summarizes the regression results: df

Linear Regression

Q1. A firm has the following data on Sales and Advertising. I want to estimate the following regression: sales=B0 + B1*advertising; specifically, what is the estimate of the slope term, B1. The following 10 observations are included: Advertising Sales 339 1103 451 921 504 1154

Regression problem

Thompson Machine Works purchased several new, highly sophisticated machines. The production department needed some guidance with respect to qualifications needed by an operator. Is age a factor? Is the length of service as a machine operator important? In order to explore further the factors needed to estimate performance on the

Regression in SPSS

Assume that you are an analyst for the City of Normalton in 1999. You have been asked by the Mayor to evaluate the effectiveness of two juvenile crime policies: The strict curfew put in place on Jan1, 1994 and The parental responsibility law put in place on March 1, 1994. The police department has provided you with the da

REGRESSION MODELING IN EXCEL

Using the BANK.SAV data file, construct a multiple regression model to test whether there is gender discrimination in the bank. The model should include one or more continuous variables and one or more dichotomous variables. Please submit to me the output you generate Describe your rationale for including the variables tha

Chi-square test and Regression analysis

1) What is the Chi-square test? Where can you apply it? Please site an example of how it was used and the outcome of the test. I think this could help me better than the book, it is difficult to understand. 2) What is regression analysis and multiple regression? How would they be used in an outpatient setting? Please indentif

Statistics Problems - Regression Analysis, Autocorrelation, Multicollinearity

1. Suppose an appliance manufacturer is doing a regression analysis, using quarterly time-series data, of the factors affecting its sales of appliances. A regression equation was estimated between appliance sales (in dollars) as the dependent variable and disposable personal income and new housing starts as the independent varia

Regression

Baseballs major leagues honor their outstanding first-year-players with the title "Rookie of the Year." From 1949 to 1994, the overall batting average for Rookies of the Year was .285 far above the major league batting average of .260. However, Rookies of the Year don't do so well in their second year- their overall bating avera

Statistic Multiple Regression Model. Explain how to further optimize the model

Bob wanted to build a multiple regression model based on advertising expenditures and price index. based on the selection of all normal values, he obtained the following: 1) Multiple R - 0.738 2) R-Square - 0.546 By using lagged values, he came up with the following: 3) Multiple R - 0.755 4) R-Square - 0.570 Explai

Explaining results by the simple linear regression

A linear regression analysis produced the equation: Profits = - $950 + $85 * no. of development hours a) How large would the profits or losses be if no time is spent in development? b) On average, an extra 20 hours spent in development produces what increase in profits? c) What is the break-even point - the number of hours f

Case Study - Correlational Research, Causation, Practical Use of Results

Share the practical applications of the study from the Unit 2 Individual Project. How would the results of this survey be used in the workplace? Briefly describe correlational research. Name a variable from this study and one from the workplace that might prove to provide a correlational relationship and explain why you woul

Simple and Multiple Linear Regression

Download the data file ex1.XLS. It contains a variety of aircraft operating cost data and statistics by aircraft type. All figures are averages for all aircraft operated by US carriers, taken from 2003 Form 41 data. Use the data in this file to perform the analysis of operating costs described below: (A) Use Excel to esti

Multiple regression model testing

I need to use my attached database to develop a multiple regression model with the dependent variable being the overall job satisfaction. Use gender, age, department, position and tenure with company as the independent variables. I need to provide output of the regression procedure but also the model equation. Also, I