Contemporary Marketing (MindTap Course List)
17th Edition
ISBN: 9781305075368
Author: Louis E. Boone, David L. Kurtz
Publisher: Cengage Learning
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Chapter 10, Problem 7ALR
Summary Introduction
To discuss: The meaning of sampling and the differences between probability and non-probability samples and the various types of samples.
Introduction: Sampling is a statistical technique that is apprehensive with the choice of the individual perception and it assists to make factual derivations about various aspects like population, and so on.
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- The owner of a restaurant in Bloomington, Indiana, has recorded sales data for the past 19 years. He has also recorded data on potentially relevant variables. The data are listed in the file P13_17.xlsx. a. Estimate a simple regression equation involving annual sales (the dependent variable) and the size of the population residing within 10 miles of the restaurant (the explanatory variable). Interpret R-square for this regression. b. Add another explanatory variableannual advertising expendituresto the regression equation in part a. Estimate and interpret this expanded equation. How does the R-square value for this multiple regression equation compare to that of the simple regression equation estimated in part a? Explain any difference between the two R-square values. How can you use the adjusted R-squares for a comparison of the two equations? c. Add one more explanatory variable to the multiple regression equation estimated in part b. In particular, estimate and interpret the coefficients of a multiple regression equation that includes the previous years advertising expenditure. How does the inclusion of this third explanatory variable affect the R-square, compared to the corresponding values for the equation of part b? Explain any changes in this value. What does the adjusted R-square for the new equation tell you?arrow_forwardDo the sales prices of houses in a given community vary systematically with their sizes (as measured in square feet)? Answer this question by estimating a simple regression equation where the sales price of the house is the dependent variable, and the size of the house is the explanatory variable. Use the sample data given in P13_06.xlsx. Interpret your estimated equation, the associated R-square value, and the associated standard error of estimate.arrow_forwardThe Baker Company wants to develop a budget to predict how overhead costs vary with activity levels. Management is trying to decide whether direct labor hours (DLH) or units produced is the better measure of activity for the firm. Monthly data for the preceding 24 months appear in the file P13_40.xlsx. Use regression analysis to determine which measure, DLH or Units (or both), should be used for the budget. How would the regression equation be used to obtain the budget for the firms overhead costs?arrow_forward
- Which best describes the null hypothesis associated with an Analysis of Variance (ANOVA)? Group of answer choices a. Ho: Variance 1 = Variance 2 = Variance 3 b. Ho: Standard Deviation 1 = Standard Deviation 2 = Standard Deviation 3 c. Ho: Proportion 1 = Proportion 2 = Proportion 3 d. Ho: Median 1 = Median 2 = Median 3 e. Ho: Mean 1 = Mean 2 = Mean 3arrow_forwardDiscuss at least 2 different data collection methods you could use. What are the differences between probability and nonprobability sampling methods?arrow_forwardWhat is the difference between variance and sensitivity analysis? Do you think one is more important than the other? Please explain your answer.arrow_forward
- Why would any researcher want to know or detect the existence or not of outliers before any further analysis of his or her data?arrow_forwardReferring to the comparison of the Pearson and Spearman correlations on both correlation size and significance level, when should you use which type in this case?arrow_forward
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