### 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?

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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?

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?

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

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

16) A) Calculate SSxx, SSyy, and SSxy. B) Calculate the slope and intercept. C) Calculate SSE, SSR, and SST. D) Use the sums to calculate the R2. Hours Worked (X) Weekly Pay (Y) 10 93 15 171 20 204 20 156 35 261

1. Sixto Sanchez is the owner of Suburban Stylists. He is evaluating the service level provided to walk-in customers. Because he is enrolled in an MBA program at Eastern University, Sixto decides to sample walk-in customers for the next two weeks. He collects information from 82 walk-in customers and calculates that their aver

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

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

40. A suburban hotel derives its gross income from its hotel and restaurant operations. The owners are interested in the relationship between the number of rooms occupied on a nightly basis and the revenue per day in the restaurant. Below is a sample of 25 days (Monday through Thursday) from last year showing the restaurant i

Observations are taken on net revenue from sales of a certain plasma TV at 50 retail outlets. The regression model was y = net revenue (thousands of dollars), x1 = shipping cost (dollars per unit), x2 = expenditures on print advertising (thousands of dollars), x3 = expenditures on electronic media ad

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

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

See attached file for data. Instructions: Choose one or more of the data sets A-I below, or as assigned by your instructor. 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 p

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

12.55 Choose the Commercial Real Estate data set below. Select Size as independent variable and Assessed Value as dependent variable. Assessed Size 1,796 4,790 1,544 4,720 2,094 5,940 1,968 5,720 1,567 3,660 1,878 5,000 949 2,990

12.60 Below are revenue and profit (both in $ billions) for nine large entertainment companies. Please show response in a step by step Revenue and Profit of Nine Entertainment Companies Company Revenue Profit AMC Entertainment 1.792 -0.02 Clear Channel Communicati

See attached files. From Statistics for Managers Using Microsoft® Excel, Fifth Edition: SH13.3 a. Analyze the data and develop a regression model to predict the mean number of new subscriptions for a month, based on the number of hours spent on telemarketing for new subscriptions. b. If you expect to spend 1,200 hour

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

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

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

Costs for recently constructed buildings in your city are as follows: building sq ft cost of Building ($k) 12000 510 14000 565 15000 610 16000 650 18000

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

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

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

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

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

See attached file for data. There is debate within the production planning management team as to which forecasting technique to use. The team members want to test to see which method would be more accurate. They have assigned the new planning director to assess which of the following forecasting techniques would have been mor

Choose any two sets of data. Perform linear regression and hypothesis test on the data. Interpret the results. [please refer to the attachment for details]

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

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