Directions: For each of the following situations: a. indentify the independent variable/s b. name the dependent variable; and c. give the two attributes of each variable A study on customer's satisfaction based on the quality of food offered in fast foods.
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Directions: For each of the following situations:
a. indentify the independent variable/s
b. name the dependent variable; and
c. give the two attributes of each variable
A study on customer's satisfaction based on the quality of food offered in fast foods.
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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?identify dependent and independent variables in this statement "We asked first 600 and then 1000 customers to think of a brand/product/service they loved and they disliked. We then asked them to write a divorce letter to the disliked brand and a love letter to the brand they admired, and to score these two brands on a scale from 1 to 10. In this way, we had a benchmark for the perception of the loved and the disliked brands."
- choose: Any attribute of interest on which data are collected and analysed: 1. Statistics 2. ordinal scale data1. 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 MaintenancePls help What would the correlogram (ac/pac) look like for both, (i) the ARMA model, and, (ii) the ARIMA model?
- A well-known multinational FMCG produces more than fifty products and sells them in the market. Out of fifty products one is mineral water for drinking purpose and supplies different size pack bottles in the market. Product manager observed that, during hot days the sale of water is more as compared to the normal days. He started the collection of data of weekly sale of water and the average weekly temperature. Product manager was interested in developing a relationship between sales and temperature; therefore, he discussed and shared the following data with youStudy B: The decoy effect is the phenomenon that an additional but worse option can boost the appeal of an existing option. In order to get workers at food-processing factories in China to comply with hygiene standards (i.e., using hand sanitizer every hour), researchers manipulated whether there were additional options to the standard and convenient spray bottle provided to each employee. Workers in different rooms were randomly assigned to have just the standard spray bottle, or the standard spray bottle and an inconvenient squeeze bottle. Quality control personnel kept track of hand sanitizer use (weighing the bottles before and after each shift) and sanitary condition (sample wipes assessing the number of bacteria on hands). Neither the employees or quality control personnel were aware of the experiment or its hypothesis. The researchers found that when a decoy was present, workers used more sanitizer and were more likely to pass hand sanitary tests. In this example, it was…Which of the following set of measures are appropriate in monitoring 'customer retention'? Select one: a.Customer satisfaction rating, number of repeat purchases, customer acquisition costs b.Customer satisfaction rating, sales growth from customers using loyalty cards, customer profitability per quarter c.Proportion of sales from existing customers, market share, profit attributable to customers in the 21-30 age group d.Proportion of sales from existing customers, number of repeat purchases, sales growth from customers using loyalty cards Clear my choice
- SYSTEM IDENTIFICATION 15- The concept of "whether the parameters of a model set can be uniquely determined from the predictor filters or not" is called: A. identifiability B. stability C. prediction D. differentiability E. observability ANSWER and write the reason? aA 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?A student group on a college campus wanted to create a survey about parking availability on campus. The student group randomly selected 300 students to take the survey. One of the questions read, “Many students believe the lack of available parking is a major problem. Do you agree or disagree?” Of the 300 students that took the survey, 285 surveys were returned. This survey will most likely suffer from which of the following types of bias? There is no bias in the way this survey is carried out. Response bias Selection bias Non-response bias
