. Create example of data analysis method and the use primary data in research. 2. Create example of frequency analysis and descriptive analysis in research. 3. Create example of multiple regression analysis and correlation analysis in research.
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- Under what conditions might a firm use multiple forecasting methods?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?. What are the advantages and disadvantages of Regression Model, Econometric Model, Driving Indicator Models?
- 1. Give a specific example and scenario in Hospitality Industry that we can apply the Data Analysis Cycle. Identify the Problem Identify Available Data Sources Identify if Additional Data Sources are needed Statistical Analysis Implementation and Development Communicate Results MaintenanceWhich 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 3What is producivity analysis? What is prescriptive data analytic model? How are the two related or how are they different? Give example of each.
- The following data were collected during a study of consumer buying patterns:Observation x y Observation x y 1 19 72 8 20 77 2 21 81 9 17 73 3 43 79 10 13 77 4 28 81 11 20 85 5 56 98 12 28 93 6 49 96 13 34 94 7 32 82 14a. Obtain a linear regression line for the data.b. What percentage of the variation is explained by the regression line?c. Use the equation determined in part b to predict the expected value of y for x = 49.Write a note on "importance of regression analysis in research"list 5 types of quantitative data analysis methods, pros and cons of each method
- Develop the first three steps of the management–research question hierarchy namely i) management dilemma ii) management question iii) research question(s), for the following scenario A- The owner of city resturant in fairfax.Explain three (3) of the general assumptions of a Regression (Least Squares) model.What is role of sample decisions in business research? Explain. Discuss the major sample decisions. Explain & elaborate – with examples
