Share
Explore BrainMass

Regression Analysis

Regression hypothesis test

Major League Baseball Data Set. Stolen Bases verses Team wins. I need to create a simple linear regression line in excel. SB Wins 45 95.0 84 95.0 31 88.0 83 74.0 161 95.0 62 93.0 137 99.0 72 80.0 102 83.0 151 67.0 67 79.0 66 71.0 102 69.0 53 56.0 92 90.0 67 77.0 115 89.0 72 73.0 153 83.0 73 67.0 58 71.0

Regression analysis for oxygen consumption in R.

Data is from a study carried out at NC State University in order to determine the relationship between oxygen consumption, a measure of aerobic fitness, and several other variables related to physical fitness among n=31 runners.

Descriptive Statistics, Regression Analysis, and Prediction

1) Using the Water use data set (under Course Materials Forum) analyze the data using Excel, MegaStat or whatever statistical software you prefer and report in proper statistical form/jargon about the dataset. (See attached) 2) Using the Water use data set analyze the data using Excel, MegaStat or whatever statistical softwa

Regression Analysis with Excel using Benefits

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

Equation of the Regression Line

Nancy Giggles has not been doing well on statistics examinations. She decides to sample 12 of her friends to determine the number of hours spent studying for Test 3 and the score out of 100 received on that test. The results: Test 4 Score Hours of study 47 7 55 10 87 39 98 43 37 2 71 12 100 51 98 48 85 23 82 26

Linear regression problem

In a study of foreign holdings in the U.S. banks, year-end share of assets in U.S. bank subsidiaries held by foreigners (as a percentage of total assets) was related to: X1 = Annual change, in billions of dollars, in foreign direct investment in the U.S. (excluding finance, insurance, and real estate); X2 = Bank price-earn

Data Set

Perform a regression hypothesis test on the data. It is base on Literacy, Unemployment, and Life Expectancy.

Understanding a regression hypothesis test

1. In 250-300 words interpret the result of the regression hypothesis test. H0: What is the trend of salaries for educational levels among females and males? X Female Male Less 1 $20,420.16 $29,271.71 HS 2 $22,647.65 $32,464.75 Degree 3 $35,652.27 $51,106.52 (We denoted the educational levels on a scale of 1-3)

Bivariate regression model and caveats

1 (a) What is a bivariate regression model? Must it be linear? (b) State three caveats about regression. (c) What does the random error component in a regression model represent? (d) What is the difference between a regression residual and the true random error? 2. (a) Explain how you fit a regression to an Excel scatter plot.

Regression Analysis of Professor Salaries

See the attached file. Question 1 - 5 1992-1993 Salary data for a sample of 15 universities was obtained. We are curious about the relationship between mean salaries for assistant professors (junior faculty) and full professors (senior faculty) at a given university. IN particular, do universities pay (relatively) high sala

Create a scatterplot of the data and interpret the regression equation

For a sample of 100 employees, a personnel director has collected data on x = the number of years an employee has been with the firma dn y = the number of shares of company stock the employee owns. With the following information: a. Generate a scatter diagram that includes the best fit linear equation for these data. b. Doe

Trend Lines through Time Series Data

THE FOLLOWING TIME SERIES DATA REPRESENTS THE MEAN YEARLY US UNEMPLOYMENT RATE BETWEEN JANUARY 1981 AND OCTOBER 2008 (OBTAINED FROM THE U.S. BUREAU OF LABOR STATISTICS): Year U.S. Unemployment Rate (%) 1981 7.62 1982 9.71 1983 9.60 1984 7.51 1985 7.19 1986 7.00 1987 6.18 1988 5.49 1989 5.26 1990 5.62 1991 6.85 1992

Business Algebra

2-3 PAGES WITH EXCEL GRAPHS. SEE ATTACHED FILE. Use the Cartesian coordinate system to find the distance between two points; illustrate linear functions and their relationship to business, economics, social science, etc., and find the intersection of two lines. Great news! ABC Advertising has called you in for an interview

Time Series Forecasting using exponential smoothing.

Need help with the attached problem. Please provide solution and explanation in EXCEL format. ============================================================= Problem #7.6 Following are time-series data for nine time periods. Use exponential smoothing with constraints of .3 and .7 to forecast time periods 3 through 9. Let t

Statistics - Interpreting Regression Output

A researcher used stepwise regression to create regression models to predict BirthRate (births per 1,000) using five predictors: LifeExp (life expectancy in years), InfMort (infant mortality rate), Density (population density per square kilometer), GDPCap (Gross Domestic Product per capita), and Literate (literacy percent). Inte

Statistics: Understanding Regression Analyses

Question 1: In the following regression, X = weekly pay, Y = income tax withheld, and n = 35 McDonald's employees. (a) Write the fitted regression equation. (b) State the degrees of freedom for a two- tailed test for zero slope, and use Appendix D to find the critical value at £ = .05. (c) What is your conclusion about the

Understanding regression output and hypothesis testing.

In Hawaii, condemnation proceedings are underway to enable private citizens to own the property that their homes are built on. Until recently, homeowners leased the land from the estate. In order to comply with the new law, a large Hawaiian estate wants to use regression analysis to estimate the fair market value of the land. Ea

Regression analysis and 5-Step Hypothesis Test

1. Perform a regression analysis and show the scatter plot of data with the regression line superimposed. 2. Discuss the import of the following statistics: a. Correlation coefficient b. Coefficient of determination c. Slope and intercept of the regression equation 3. Create a 5-Step Hypothesis test.

Basic Business Statistics regression and correlation

1. In a simple linear regression problem, r and b1: a. may have opposite signs. b. must have the same sign. c. must hae opposite signs. d. are equal 2. A professor of industrial relations believes that an individual's wage rae at a factory (Y) depends on his performance rating (X1) and the number of economics courses th

Understanding Regression Analysis: sums of squares

The variation attributable to factors other than the relationship between the independent variables and the explained variable in a regression analysis is represented by: a. regression sum of squares. b. error sum of squares. c. total sum of squares. d. regression mean squares.

Understanding variability and R^2 in regression results.

The following Excel tables are obtained when "Score received on an exam (measured in percentage points)" (Y) is regressed on "percentage attendance" (X) for 22 students in a Statistics for Business and Economics course. -------------------------------- Regression Statistics -------------------------------- Multiple R

Statistics - Bi-variate Regression Analysis in Excel

I have a two question problem with three sub questions that I need help with for my Statistics class. It is supposed to deal with Bi-variate analysis. If someone can help me out with this, it would be much appreciated. 1. Perform a regression analysis Show the scatter plot of data with the regression line superimposed.

Enrollment Data for Business Week's Top Graduates

Consider the enrollment data for Business Week's top 50 U.S. graduate business programs in the file P2_3.XLS which is set out below. PROBLEM: Using excel and excel statistical functions, solve the following: (a) Use the data in the file P2_3.XLS - set out below - to estimate a multiple regression model to assess whether

Multiple regression models using excel for Beta Technologies Inc

Multiple regression models using excel Managers at Beta Technologies, Inc., have collected current annual salary figures and potentially related data for a random sample of 52 of the company's full-time employees. The data are in the file P2_1.XLS set out below. These data include each selected employee's gender, age, numb

Multiple regression model - standard error of the estimate

INSTRUCTIONS: Add new part (b): give the value of and interpret the standard error of the estimate. Add new part (c): give the predicted number of contracts sold for a month with an average contract price of $3,000, adv exp of $20,000, and per sell exp of $40,000. New part (d): give a 95% PI for the prediction of part c, ba

Regression of yearly truck maintenance expenses

I need help setting up and solving the following problem which is set out with the data needed in that attached excel spread sheet. INSTRUCTIONS: Note: "Interpret" in a problem means you should explain in words what something (in this case each regression coefficient (separately)) means. (add new part c: predict the maintena

Simple analysis - You may add any second variable

You may add any second variable.Please find attached a simple regression analysis, and make it a multiple regression analysis example(i.e., with two independent variables). I have attached the one variable analysis (simple) for reference. You may add any variable with any dummy data. (a) Please address your final choice betw