Constructacontrolcharttomonitortheserviceatthedrive-throughwindow.Determineif your control chart can be implemented on a continuing basis or if additional observations need to be collected. Explain whythe chart you developed can' or cannot be used. Also discuss what other statistical process control charts might be used by Dave's Burgers in its overall quality management program.
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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?Accountants at the Tucson firm, Larry Youdelman,CPAs, believed that several traveling executives were submittingunusually high travel vouchers when they returned from businesstrips. First, they took a sample of 200 vo uchers submitted fromthe past year. Then they developed the following multiple regressionequation relating expected travel cost to number of days onthe road (x1) and distance traveled (x2) in miles:y = $90.00 + $48.50x1 + $.40x2The coefficient of correlation computed was .68.a) If Barba ra Downey returns from a 300-miJe trip that took herout of town for 5 days, what is the expected amount she shouldclaim as expenses?b) Downey submitted a reimbursement request for $685. Whatshould the accountant do?c) Should any other variables be included? Which ones? Why?Describe what panel data is and the reasons for using it Assess the importance of fixed and random effects What is the Hausman Test? Explain its relevance. Explain when fixed effects, random effects or pooled OLS models are usually used.
- Kay and Micheal Passe publish what's Happening?--a biweekly newspaper to publicize local events. whats happening? has a few subscribers; it typically is sold at checkout stands. Much of the revenue comes from advertisers of garage sales and supermarket specials. In an effort to reduce costs associated with printing too many papers or delivering them to the wrong location, Micheal implemented a computerized system to collect sales data. Sales-counter scanners accurately record sales data for each location. Since the system was implemented, total sales volume has steadily declined. selling advertising space and maintainting shelf space at supermarkets are getting deifficult. Reduced revenue makes controlling costs all the more important. For each issue. Micheal caefully makes a forecast based on sales data collected at each location. Then he orders papers to be printed and distributed in quantities matching the forecast. Micheal's forecast refect a downward trend, which is present in the…1.) Use the following dummy variables to develop an estimated regression equation to account for seasonal effects only in the data. Qtr1 = 1 if Quarter 1, 0otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise, Qtr3 = 1 if Quarter 3, 0otherwise. Based only on the seasonal effects in the data, compute estimates of quarterly sales for year 6.a. Report the estimate of sales for Year 6 Quarter 1. (Enter a whole value.)b. Report the estimate of sales for Year 6 Quarter 4. (Enter a whole value.)2.) Let Period t = 1 refer to the observation in quarter 1 of year 1; Period t = 2refer to the observation in quarter 2 or year 1; … and Period t = 20 refer to the observation in quarter 4 of year 5. Using the dummy variables defined in part (b) and Period (t), develop an estimated regression equation to account for seasonal effects and any linear trend in the time series. Based upon the seasonal effects in the data and linear trend, compute the estimates of quarterly sales for year 6.a. Report the estimate…16- Statistical forecasting models have the following weaknesses, except __________. a. Can be costly and time consuming to model “soft” information b. Can process large amounts of data c. Slow to react to changing environments d. Only as good as the model formulation and the data it is based upon
- Q1) Ahmed's interest was cricket. When he finished university, he wanted to work in a management job. He wanted to do his research project on some aspect of general management and social sciences, preferably for a sports goods manufacturer but had no research idea. He asked five friends, all taking business education degrees, to help him brainstorm the problem. You are requested to use the following problem-solving techniques to generate and refine the research idea in this business scenario. i) The technique of Brainstormingii) The Delphi techniqueQ1. (400 words) Ahmed's interest was cricket. When he finished university, he wanted to work in a management job. He wanted to do his research project on some aspect of general management and social sciences, preferably for a sports goods manufacturer but had no research idea. He asked five friends, all taking business education degrees, to help him brainstorm the problem. You are requested to use the following problem-solving techniques to generate and refine the research idea in this business scenario. The technique of Brainstorming 2.The Delphi techniqueA study to determine the correlation between bankdeposits and consumer price indices in Birmingham, Alabama,revealed the following (which was based on n = 5 years of da ta):• LX = 15• Lx2 = 55• Lxy = 70• Ly = 20• L/ = 130a) What is the equation of the least-squares regression line?b) Find the coefficient of correlation. What does it imply to you?c) What is the standard error of the estimate?
- 7. The following multiple-regression model was developed to predict job performance as measured by a company job performance evaluation index based on a preemployment test score and college grade point average (GPA): y=35+20x1+50x2, where y=job performance evaluation index, x1=preemployment test score, and x2=college GPA. Part 2 a) For an applicant who had a 3.0 GPA and scored 80 on the preemployment test, the forecast for the job performance index= __________ (enter your response as a whole number).How can startbucks company use multiple regression? Please provide an example and identify dependent and independent variables.Athlete ages A sports reporter suggests that professional baseball players must, on average, be older than profes-sional football players, since football is a contact sport and players are more susceptible to concussions and seri-ous injuries (www.sports.yahoo.com). One player was selected at random from each team in both professionalbaseball (MLB) and professional football (NFL). Thedata are summarized below.To perform inference on these two samples, what condi-tions must be met? Are they? Explain. MLB NFLn 30 32y 27.5 26.16s 3.94 2.78