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Regression Analysis

Description of a Regression Relationship

Describe a regression relationship you think might exist. Be sure to describe the independent variable, dependent variable, and the type of relationship you think would exist (positive or negative). If you have an article you'd like to attach, please do so. Regression examples are common in business news.

Multiple Regression: Predict gasoline mileage vs horsepower; bicycle promotion

A consumer organization wants to develop a regression model to predict gasoline mileage (MPG) based on the horsepower of the car's engine and the weight of the car (in pounds). A sample of 50 recent car models was selected, with the results shown at left. Q-12a: Write the multiple regression equation. (Use four decimals of p

Statistical Analysis of Median Age on Vehicles

Keeping Cars Longer: The median age of vehicles on U.S. roads for seven different years are given as follows: [PLEASE REFER TO THE ATTACHMENT FOR THE DATA]. 26. Regression Line: Find the graph and regression line. 30. Error of Estimate: Find the standard error of estimate and interpret the results.

Time Series Analysis and Forecast

Consider the airline ticket data in the file P13_01.xlsx. a. Create a time series chart of the data. Based on what you see, which of the exponential smoothing models do you think should be used for forecasting? Why? b. Use simple exponential smoothing to forecast these data, using no holdout period and requesting 12 months

Applied Biostatistics: data analysis and report of low birthweight

See attached file for datasets on low birth weight and related risk factors. * Must do a complete data analysis and report. * Can use any statistical software, but R software is preferred. If software other than R is used, then detailed descriptions of techniques used are to be provided. * Details of the requirements are i

Linear regression: Value of sample correlation coefficient

1.) The linear regression model has a slope or -2.5 and an intercept of 10. The sample coefficient of determination is 0.50. What is the value of the sample correlation coefficient? 2.) What percentage of observations of a normal distribution are represented by the mean plus or minus 1.96 standard deviations?

Forecasting and Regression

These assignments will help you learn about statistical models for forecasting. You will learn about time series methods, such as the moving average, exponential smoothing, and linear trend line and, regression, which is used for forecasting by establishing a mathematical relationship between two or more variables. Read Chap

Using the housing data, interpret the slope coefficient, test the hypothesis

See attached file. The file housing.xls contains sample data on the assessed price of a house (in $1,000s) and the house's floor space (in square feet). Pls Do with Excel, except where stated, and explain your results. a. Determine the proper dependent variable and then plot a scatter diagram with the dependent variable on

Describe fit of regression

For Each Equation I need (F) written out.... There are two 12.48 In the following regression, X = weekly pay, Y = income tax withheld, and n = 35 McDonald's employees. (a) Write the fitted regression equation. W Y = 0.0343X + 30.7963 (b) State the degrees of freedom for a two tailed test for zero slope, and use Appe

Statistics: Chi-Square Tests and Nonparametric Tests/Simple Linear Regression

See attached files. 9 questions: Chi-Square Tests and Nonparametric Tests/Simple Linear Regression 1. A sample of 500 shoppers was selected in a large metropolitan area to determine various information concerning consumer behavior. The results are summarized in the following contingency table: Enjoy Shopping for clothin

Ask a sample of people if they take vitamins/supplements daily and how many (see data attached). Conduct a regression analysis to determine if age (independent variable) has any effect on the number of vitamins/supplements people take. Use the "Correlation and Regression" spreadsheet. Again, enter data in yellow and read output in blue. Explain your answer.

Ask a sample of people if they take vitamins/supplements daily and how many (see data attached). Conduct a regression analysis to determine if age (independent variable) has any effect on the number of vitamins/supplements people take. Use the "Correlation and Regression" spreadsheet. Again, enter data in yellow and read outp

Regression Analysis: Revenue vs. Net Income

See attached file. (15.59) Computer database GROWCO describes the characteristics of 100 companies identified by Fortune as the fastest growing. Two of the variables listed are revenue and net income (millions of dollars) for the most recent four quarters. Determine the linear regression equation describing net

Academic approach to Case study

[See attached file.] The ThermoStar Case ThermoStar has been producing residential thermostats for over 50 years. Looking over the past 20 quarters (5 years) of the different product lines, the general manager has been trying to get a handle on sales, costs, and production, and has asked for your help. Your response t

10 Problems: Chi-Square Tests and Nonparametric Tests/Simple Linear Regression

See attached files. Chi-Square Tests and Nonparametric Tests/Simple Linear Regression 1. A sample of 500 shoppers was selected in a large metropolitan area to determine various information concerning consumer behavior. The results are summarized in the following contingency table: Enjoy Shopping for clothing Gender

Production costs for textbooks, a linear regression equation

See attached file for clarity. Data Item Quantity (# of Books Produced) Total Cost of Production 1 2 $30 2 5 $40 3 8 $73 4 10 $100 5 11 $130 6 12 $90 7 14 $150 8 15 $160 9 16 $160 10 17 $180 11 18 $240 12 19 $280 13 20 $180 14 21 $181 15 22 $185 16 23 $190 17 24 $200 18 25 $200 19 26 $275 20 28 $215 21 30

Legal decision related to racial discrimination

In Bazemore v. Friday, 478 U.S. 385 (1986), a case involving pay discrimination in the North Carolina Extension Service, the plaintiff, a group of black agents, submitted a multiple regression model showing that, on average, the black agents' salary was lower than that of their white counterparts. When the case reached the court

Regression Analysis: Boat Sales & Boat Trailer Sales

See attached file. (15.10) The following data represent x = boat sales and y = boat trailer sales from 1995 through 2000. Boat Boat Sales Trailer Sales Year (Thousands)(Thousands) 1995 649 207 1996 619 194 1997 596 181 1998 576 174 1999 585 168 20

Statistics: A regression problem for the National Highway Association

The National Highway Association is studying the relationship between the number of bidders on a highway project and the winning (lowest) bid for the project. Of particular interest is whether the number of bidders increases or decreases the amount of the winning bid. Project Number of bidders X Winning Bid in Millions 1 9

Statistics: 12.48, 12.50, 13.30, 13.32, 14.16

See attached file for the tables. 12.48 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) W

Data Modeling and Forecast

(a) Make an Excel line graph of the data on computer viruses. (b) Discuss the underlying causes that might explain the trend or pattern. (c) Fit three trends (linear, exponential, quadratic). (d) Which trend model is best, and why? If none is satisfactory, explain. (e) Make a forecast for 2003, using a trend model of you

Statistics: Stereo Speakers, Auto Speeds and Fuel Consumption for New Cars Sold

See attached file for tables. Set of problems. Show all essential work. Problem 1 Consider the following prices and accuracy ratings for 27 stereo speakers. (a) Make a scatter plot of accuracy rating as a function of price. (b) Calculate the correlation coefficient. At ? = .05, does the correlation differ from zero?

Statistics

Problem 1 Consider the following prices and accuracy ratings for 27 stereo speakers. (a) Make a scatter plot of accuracy rating as a function of price. (b) Calculate the correlation coefficient. At ? = .05, does the correlation differ from zero? (c) In your own words, describe the scatter plot. (Data are from Consumer Rep