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Regression Analysis

Multiple Regression Analysis and Hypothesis Test

The Excel file contains this data on weekly gross revenues, television advertising expenditures, and newspaper advertising expenditures for Showtime Movie Theaters, all measured in thousands of dollars. Weekly Gross Revenue Television Advertising Newspaper Advertising 96

Elasticity Case and Questions: National consumption of chicken

There are 3 attached files. One is the case with actual deliverables highlighted in yellow. One is the spreadsheet with necessary data. The last is a document with examples of how the tables are to be done. The numbers on the table example sheet are not right, they are just there to show how the outcome should look.

Relationship Between Volume and Cost Productions

VOLUME CHEMICAL (This problem was intended to be solved using the computer.) You are involved in an analysis of the relationship between the cost and the volume of production. You have collected the following inflation-adjusted data. PRODUCTION UNITS COSTS 700 $61,750 1,450 64,450 1,500 66,000 1,750 69,438 2,

Scatterplot, Regression Analysis and Correlation Hypothesis Test

Construct a Scatterplot of the raw data. Then, run the Correlation/Regression program. Costs of Television: Listed below are prices (in dollars) and quality rating scores of rear-projection televisions. All of the televisions have screen sizes of 55 or 56 inches. Is there sufficient evidence to conclude that there is a line

General Statistics

Directions: You may include the statistical software output, but you must also include a well-written explanation of the findings. Be sure to answer the question asked in each problem, and explain why, with reference to your output. If you calculate the answers manually, be sure to show your work. I would prefer a Word document

Perform Regression Hypothesis

In their previous papers, Team XX looks at age and wage using several statistical techniques. Team XX will cover bivariate regression for their Week Five assignment. As per Doane-Seward (2007), scatter plots and correlation coefficients provide clues about the relationship between variables and to model the relationship, researc

Correlation Testing & Regression Analysis

Please explain how you obtained your results. The Mauna Loa Observatory at 11,000 feet elevation in the middle of the Pacific Ocean sits in a prime spot for measuring carbon dioxide levels in the atmosphere without local contamination. Operated by the National Oceanic and Atmospheric Administration's Climate Monitoring and Di

Statistics: Hypothesis Testing, Regression, and Multiple Populations

Hypothesis Testing 1. The MBA department is concerned that dual degree students may be receiving lower grades than the regular MBA students. Two independent random samples have been selected 150 observations from population 1 (dual degree students) and 200 from population 2 (MBA students). The sample means obtained are X1(

A Discussion of a Regression Analysis

Questions: What are the requirements that must be met for a regression analysis? What happens if these requirements are violated? Why is the analysis of residuals important?

Regression Equation and Coefficient of Determination

When is a regression equation used? What terms describe the fit of a regression equation to the data? What is the importance of the coefficient of determination (r2)? What are outliers? How do you identify outliers in your data? How do outliers impact your regression equation?

Multiple choice question from correlation and regression

1. Which of the following pairs of variables should produce a correlation near 0? A) model year (2003, 2004, etc.) and price for a used Honda B) driving distance from college and weekly cost of gas for a group of commuting college students C) number of hours studying and number of errors on a math exam D) IQ and weight

Statistics Fit of the Regression: Orders and shipping cost

26) A) Obtain regression estimates. B) Interpret the 95% confidence interval for the slope. Does it contain 0? C) Interpret the t test for the slope and its p value. D) Interpret the F statistic. E) Verify that the p-value for F is the same as for the slope's t-statistic, and show that t2= F. F) Describe the fit of t

ANOVA and Regression Analysis

PROBLEM-1: Create a simple linear regression with percentage change in Blue Collar Occupations being the only explanatory variable for percentage changes in White Collar Occupations wages and salaries. For this problem you will not need to use the data in the Year or Private_Industry columns. You'll just use the data in the W

Mountain States Potato Company: test percentage of solids

See attached file. Write a essay concerning your findings to the company and include specific recommendations. Mountain States Potato Company sells a by-product of its potato processing operation, called a filter cake, to area feed-lots as cattle feed. Recently, the feedlot owners have noticed that the cattle are not gaini

Regression Analysis: Burger King Example Questions

See attachment for data. You work for a consulting firm as a market analyst. Your firm been hired by two Burger King restaurants in a suburban Atlanta market area to study the demand for its basis hamburger meal package referred as a "Combo 1" on its menu. The two restaurants face competition from five other hamburger restaur

Statistics: Plot the data on U.S. general aviation shipments

Instructions: For each exercise, use Excel, MegaStat, or MINITAB to make an attractive, well-labeled time-series line chart. Adjust the Y-axis scale if necessary to show more detail (since Excel usually starts the scale at zero). If a fitted trend is called for, use Excel's option to display the equation and R2 statistic (or MAP

Statistics: Regression models to predict birthrates.

See attached problem 13.30 using a stepwise regression to create regression models to predict birthrates. 13.30 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 (populati

Statistics 12.48: Fitted regression equation about McDonald's employees

Choose the dependent variable (the response variable to be "explained") and the independent variable (the predictor or explanatory variable) as you judge appropriate. Use a spreadsheet or a statistical package (e.g., MegaStat or MINITAB) to obtain the bivariate regression and required graphs. Write your answers to exercises in a

Linear Regression Analysis of Real Estate Data

See attached files. You are to use linear (single) regression only! The setting: Imagine you are a real estate investor presented with a regression analysis of home sales in the neighborhood of one of your investment properties. Unfortunately, the report stops short of making the decision for you. Given the data as present

Regression Analysis for Coffee Consumption

In their article, "The Demand for Coffee in the United States: 1963-1977" (Quarterly Review of Economics and Business, Summer 1980, pp. 36-50), Huang, Siegfried, and Zardoshty estimated the following regression equation using quarterly data for the 58 quarters running from the first quarter of 1963 through the second quarter of