Share
Explore BrainMass

Regression Analysis

Regression analysis to estimate home prices

A real estate investor has devised a model to estimate home prices in a new suburban development. Data for a random sample of 30 homes were gathered on the selling price of the home ($ thousands), the home size (square feet), the lot size (thousands of square feet), and the number of bedrooms. The following multiple regres

Simple Regression and Correlation Analysis

Given are five observations collected in a regression study on two variables. View attachment for table. a. Develop a scatter diagram for these data b. Develop the estimated regression equation for these data c. Use the estimated regression equation to predict the value of y when x = 4.

Multiple Regression Explanation

Please see the attached file. Write the regression equation. Discuss adjusted r squared. Discuss the significance of the regression coefficients. Examine and discuss the residual plots.

Regression : key information

1. List one unclear concept regarding regression and provide an example from your personal or work life where regression could be used to show a relationship between two variables. 2. Correlation does not equal causation. That is very important to understand when interpreting regression. Can anyone elaborate for me?(100+ wor

Regression analysis in SPSS ..

Question 1 An experiment involves three treatment groups; group A, group B and a control group (i.e. no treatment). Three hundred subjects are randomly assigned to the groups creating three groups of one hundred. a. If the experimenter wants the regression slopes to compare each treatment mean to the control group mean, how

Simple Linear Regression and Correlation

Problem 10-82 A portfolio of two independent securities is to be constructed. The mean returns of the securities are 4% and 10%. The standard deviations are 1% and 3%, respectively. Find the expected value and the standard deviation of the return from a portfolio that invests a suitable proportion in each security to ensur

Confidence Interval and Regression - 12.48 In the following regression, X = weekly pay, Y = income tax withheld, and n = 35 McDonald's employees. (a) Write the regression equation. (b) Is the regression ... [Please see the attached Question Fiel.]

12.48 In the following regression, X = weekly pay, Y = income tax withheld, and n = 35 McDonald's employees. (a) Write the regression equation. (b) Is the regression model significant? . (c) What is your conclusion about the slope? (d) In your own words, describe the fit of this regression. How well does the independent variabl

Education's Effect On Wage Hypothesis Testing

Using the attached data sample Answer the following research question and hypothesis tested with linear regression analysis Research Question Does Education have a direct reflection upon the waged earned? Hypothesis H0: There is no significant difference in the mean wage more then 12 yrs of education. H1: There

Statistics - Regression for income tax withheld

In the following regression, X = weekly pay, Y = income tax withheld, and n = 35 McDonald's employees. (a) Write the regression equation. (b) Is the regression model significant? . (c) What is your conclusion about the slope? (d) In your own words, describe the fit of this regression. How well does the independent variable expl

Components of a Time Series - Theory

Four components of a time series are secular trend, cyclical variation, seasonal variation and irregular variation (Lind, 2005). Briefly describe each of these components and provide a real-world example of one component.

Components of a Time Series

Four components of a time series are secular trend, cyclical variation, seasonal variation, and irregular variation (Lind, 2005). Briefly describe each of these components and provide a real-world example of one component.

Time Series Trend Analysis

1. Below is data regarding the growth of Spirit Airlines (1998 - 2002). Please answer the following questions: a. Chose one time-series describing Spirit Airlines and make a line chart. b. Describe the trend (if any) and discuss possible causes. c. Fit both a linear and an exponential trend to the data. d. Which model is pr

Statistics - Regression Analysis.

A. What does R squared measure in a simple regression, in a multiple regression? b. What is the purpose of the F test in a multiple regression? c. What is a qualitative independent variable? How would we/what technique would we use to include a qualitative independent variable in a regression model.

Linear Regression using Megastat

1. Refer to the Real Estate data, which reports information on homes sold in Venice, Florida, last year (see attached spreadsheet). Let selling price be dependent variable and size of the home the independent variable. a. Determine the regression equation. b. Estimate the selling price for a home with an area of 2,200 squar

Regression equation and analysis

Thompson Machine Works purchased several new, highly sophisticated machines. The production department needed some guidance with respect to qualifications needed by an operator. Four variables were listed. X1 = Length of time employee was a machinist X2 = Mechanical aptitude test score X3 = Prior on -the-job rating X4 = A

Multiple regression and correlation analysis relationship

Multiple regression and correlation analysis provides a means for examining the relationship between of two (2) or more independent variables and the dependent variable. In practical applications, it is likely that you will want to consider two (2) or more independent variables when addressing a problem, making multivariate anal

Regression Analysis: Interpretation of regression equation

Suppose the regression equation that has been used to estimate the value of existing homes is as follows; Value = 10,000 + 50X1 + 5X2 + 10,000X3 Where; X1 is square feet of livable area X2 is the size of the lot measured in square feet X3 is an indicator variable for the presence of a pool (1 if yes, 0 if no)

Correlation and Regression

A brokerage house wants to predict the number of trade executions per day, using the number of incoming phone calls as a predictor variable. Data were collected over a period of 35 days: a. Use the least-squares method to compute the regression coefficients b0 and b1. b. Interpret the meaning of b0 and b1 in this problem.

ACT Networks, Inc. develops, markets, manufactures, and sells integrated wide-area network access products. The following are annual sales data (in millions of dollars) from 2002 to 2007. Based on this data develop a linear trend equation for this time series. What is the firm's average increase in sales per year? Provide a forecast for sales for 2008.

ACT Networks, Inc. develops, markets, manufactures, and sells integrated wide-area network access products. The following are annual sales data (in millions of dollars) from 2002 to 2007. Based on this data develop a linear trend equation for this time series. What is the firm's average increase in sales per year? Provide a fore

Scatter plot and regression for Accu-Copier, Inc

1. Accu-Copiers, Inc. sells and services the Accu-500 copying machine. As part of its standard service contract, the company agrees to perform routine service on the copier. To obtain information about the time it takes to perform routine service, Accu-Copiers have collected data for 11 service calls. The data are shown below. I

Conducting an ANOVA Analysis and Multiple Regression

Prove the null hypothesis, based on the below data, which states that men infected with the AIDS virus may suffer a loss of mental function long before they experience other symptoms of the disease. The alternate hypothesis would be that men infected with the AIDS virus do not suffer a loss of mental function long before they ex

Sample Correlation, Intercepts, and the Coefficient of Determination

An analyst believe that the only important determinant of banks' return on assets (Y) is the ratio of loans to deposits (X). For a random sample of banks the sample regression line: Yhat = 0.97 + 0.57X 1.72 2.04 T statistics was obtained with the coefficient of determination 0.720. a. Find the sample correlat

Correlation and regression analysis.

QUESTIONS: (a) How does correlation analysis differ from regression analysis? (b) What does a correlation coefficient reveal? (c) State the quick rule for a significant correlation and explain its limitations. (d) What sums are needed to calculate a correlation coefficient? (e) What are the two ways of testing a correlati

Scatter Diagram and Regression

X: 1 3 10 16 26 36 y: 42 50 75 100 150 200 {ex=92, Ex=617, Ex^2=2338, Ey^2=82,389, EXY=13,642, and r=0.860} a) Draw scattered diagram and verify ey, ex^2, ey, ey^2, exy and the sample coefficient r b) Find sample means for x, y, and find a, and b and the equation of least squar

Casual Method-Linear Regression

I used the formula Y =a+bX but 1.Regarding the causal method of linear regression: a.What is the appropriate linear regression model (equation) to forecast sales? Use Excel and the LINEST function to create it. b.Use the equation to generate your forecasts for months 16-19. NOTE: There is NO missing information.