Modern Business Statistics with Microsoft Office Excel (with XLSTAT Education Edition Printed Access Card) (MindTap Course List)
Modern Business Statistics with Microsoft Office Excel (with XLSTAT Education Edition Printed Access Card) (MindTap Course List)
6th Edition
ISBN: 9781337115186
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: Cengage Learning
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Chapter 16.1, Problem 7E

Home Depot, a nationwide home improvement retailer, sells several brands of washing machines. A sample of 24 models of full-size washing machines sold by Home Depot and the corresponding capacity (Cu Ft) and list price follow (Home Depot website, September 5, 2016).

Chapter 16.1, Problem 7E, Home Depot, a nationwide home improvement retailer, sells several brands of washing machines. A

  1. a. Develop a scatter diagram for these data, treating cubic feet as the independent variable. Does a simple linear regression model appear to be appropriate?
  2. b. Use a simple linear regression model to develop an estimated regression equation to predict the list price given the cubic feet. Construct a standardized residual plot. Based upon the standardized residual plot, does a simple linear regression model appear to be appropriate?
  3. c. Using a second-order model, develop an estimated regression equation to predict the list price given the cubic feet.
  4. d. Do you prefer the estimated regression equation developed in part (a) or part (c)? Explain.
  5. e. Are there other factors that should be considered for inclusion as independent variables in this regression?
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a) For United States, provide data for the variables below over the years 1993 – 2007: (i) Net migration rate (per 1,000 population) (ii) Total fertility rate (live births per woman) (iii)Unemployment, general level (Thousands) (iv) Wages (v) Life expectancy at birth for both sexes combined (years) Data can be obtained from the UN database http://data.un.org/Explorer.aspx Using R-Studio, estimate a regression equation to determine the effect of unemployment, general level, wages and life expectancy at birth for both sexes on the net migration rate. (All codes and regression output should be provided).(i) Write down the regression equation. (ii) Interpret the coefficients and determine which of the individual coefficients in theregression model are statistically significant. In responding, construct and test anyappropriate hypothesis. (iii) Interpret the coefficient of determination. (iv) Using the 10% level of significance, determine and discuss whether the overallregression equation…
(a) For United States, provide data for the variables below over the years 1993 – 2007: (i) Net migration rate (per 1,000 population) (ii) Total fertility rate (live births per woman) (iii)Unemployment, general level (Thousands) (iv) Wages (v) Life expectancy at birth for both sexes combined (years) Data can be obtained from the UN database http://data.un.org/Explorer.aspx Using R-Studio, estimate a regression equation to determine the effect of unemployment, general level, wages and life expectancy at birth for both sexes on the net migration rate. (All codes and regression output should be provided).(b) Using R-Studio redo the regression analysis with the total fertility rate as an additionalindependent variable. (All codes and regression output should be provided).(i) Write down the regression equation. (ii) Use the 5% level of significance, determine and discuss whether the total fertilityrate has a significant impact on the net migration rate in your assigned country.…

Chapter 16 Solutions

Modern Business Statistics with Microsoft Office Excel (with XLSTAT Education Edition Printed Access Card) (MindTap Course List)

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