Explain how the use of secondary source of data (news articles) can be used as supporting infomation for the following research topic: COVID-19 : A Threat to the Financial Resiliency of Marriott Caribbean Hotel Employees.
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Explain how the use of secondary source of data (news articles) can be used as supporting infomation for the following research topic: COVID-19 : A Threat to the Financial Resiliency of Marriott Caribbean Hotel Employees.
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- What forecasting techniques are used in the management of technology and innovation?For the causal analysis forecasting method, which variables would a business identify as being relevant to their organization’s sales?Which type of data analysis and research design (quantitative) can be applied to the following research hypothesis? The impact of COVID-19 on the hospitality industry was too great for them to rely on savings.
- Research Problem/Question/Hypothesis Research Problem/Question/Hypothesis Write a clear Purpose/Aim and Objectives of the Study. Clearly state the Significance of the Study. Discuss the above on the following topic: The factors effecting students adoption of Eco-friendly Fuel Alternatives. Write a clear Statement of the Problem. Discuss the above on the following topic: The factors effecting students adoption of Eco-friendly Fuel Alternatives.A study of 1,000 adult Canadians was undertaken in an effort to obtain information about Canadian shopping habits. One of the results of this survey was that 23% often buy items that are not on their shopping list but catch their eye. Use this study result to estimate with an 80% level of confidence the population proportion of Canadian shoppers who buy items that are not on their shopping list but catch their eye. Appendix A Statistical Tables (Round the answers to 3 decimal places.)enter the lower value of the interval ≤ p ≤ enter the upper value of the intervalExplain what assumptions do qualitative forecasting systems make ?
- Provide an explanation for the operation of predictive analytics and a scenario in which it might be useful.Why is forecasting important and is forecasting reliable?A retail company wants to analyse the effectiveness of its recent marketing campaign in driving customer engagement and sales. They have collected data on customer interactions, website traffic, and sales for the past three months. The objective is to determine the impact of the marketing campaign on customer engagement and sales and provide actionable insights for future marketing efforts. A) How do you think the marketing campaign impacted customer engagement based on the data analysis? b) Which customer segment showed the highest increase in sales during the campaign period, and what factors might have contributed to this? C) What specific insights or trends did you identify in the data that can help the company improve its marketing strategies? d) If you oversaw the marketing campaign, what changes or adjustments would you make based on the data analysis results? e) How can the company leverage the findings from this analysis to enhance its future marketing efforts and increase…
- 105 Which of the following real estate mortgage transactions is subject to the TILA-RESPA Integrated Disclosure rule (TRID)? A) Reverse mortgage B) Home equity line of credit (HELOC) C) A single-family residence loan secured by real property D) Mortgage secured by a mobile home not attached to landTo carry out their analysis, planning, implementation, and control responsibilities, marketing managers need a marketing information system (MIS) to assess information needs, develop the needed information, and distribute it in a timely manner. Assume that you are a Marketing Manager of Foodpanda and your company wants you to deploy an efficient Marketing information system. Explain how marketing intelligence will help Foodpanda in collecting information and forecasting demand?Global Bikes Inc. (a bicylce manufacturing firm) collected the following data during a study of consumer buying patterns. Observation 1 2 3 4 5 6 7 y= X y 15 70 28 79 38 89 35 86 49 97 42 97 30 82 y = Observation 0.721 + 1890123 a. Create a linear regression line (equation) for the data.(Round your Intermediate calculations and final answers to 3 decimal places.) X 14 16 14 24 21 29 63.229 X y 82 70 68 84 83 91 b. Use the equation determined in part b to predict the expected value of y for x = 49. (Round your Intermediate calculations and final answers to 3 decimal places.)