Share
Explore BrainMass

Regression Analysis

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

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

Regression analysis for fishing data

John is an avid fisherman and wants to know if there is a correlation between the amount of time he spends fishing and the amount of fish he catches. He decided to keep track of the time he spent at the lake and the amount of fish he caught. The results were as follows: Hours at lake 2 3 2 1 4 5 Number of fis

Linear trend, least-square, regress equation & linear programs

1. The league of American Theatres and producers, Inc, collects a variety of statistics for Broadway plays, such as gross revenue, playing time, and number of new productions. The following data show the season attendance ( in millions) for Broadway shows from 1990 to 2001 ( the world almanac 2002) Season Attendance (in milli

Linear Regression and Correlation Hypothesis Test

53. The following data show the retail price for 12 randomly selected laptop computers along with their corresponding processor speeds in gigahertz. Computer Speed Price Computer Speed Price 1 2.0 2,689 7 2.0 2,929 2 1.6 1,229 8 1.6 1,849 3 1.6 1,419 9 2.0 2,819 4 1.8 2,589 10 1.6 2,669 5 2.0 2,849 11 1.0 1,249 6 1.2 1

Statistics: Length of bolts, simple regression analysis

34. In a manufacturing process a random sample of 9 bolts manufactured has a mean length of 3 inches with a variance of 0.09. What is the 90% confidence interval for the true mean length of the bolt? A) 2.8355 to 3.1645 inches B) 2.5065 to 3.4935 inches C) 2.4420 to 3.5580 inches D) 2.8140 to 3.8160 inches E) 2.9442

Regression Analysis of Baseball Data Set

See data file attached. Use the numerical data from the baseball data set (attached). For this assignment, you must have a hypothesis and have at least one independent variable (x) and the dependent variable (y) measured at the interval level. The assignment does not specify the type of regression used, so either bivariate or

Regression Analysis and Hypothesis Test

35. A regional commuter airline selected a random sample of 25 flights and found that the correlation between the number of passengers and the total weight, in pounds, of luggage stored in the luggage compartment is 0.94. Using the .05 significance level, can we conclude that there is a positive association between the two vari

Variation and the Least-Squares Regression Line

Explained and unexplained variation and the least-squares regression line Bivariate data obtained for the paired variables and are shown below, in the table labelled "Sample data." These data are plotted in the scatter plot in Figure 1, which also displays the least-squares regression line for the data. The equation for this

Regression analysis :Least squares methods

An electric utility wishes to examine the relationship between temperature and electricity use in its service region during the summer months. The bivariate data below give the maximum temperature (denoted by x, in degrees Fahrenheit) and the electricity use (denoted by ,y in thousands of kilowatt hours) for a random sample of f

Statistics: Example of regression analysis in your work. Give the model

Once we start to think about it, regression is useful in many different situations. Give an example of how you might use regression analysis in your work. As part of your answer give the model you would use and explain why you chose the specific independent variables given in your model. I own my own janitorial company.