Research Methodology Project Management Pr

For the causal analysis forecasting method, which variables would a business identify as being relevant to their organization’s sales?

Tasty food is German based restaurant chain. It is famous for its continental cuisines. The restaurant has incurred a loss of 2 million in its first two years of operation and wondering that what needs to be done to be successful in Pakistani Market.a) discuss research problem in above example and write down the problem statementb) Make at least Four hypothesis for this studyc) how can we collect data for above study

Regression and Utility Rates; Sustainability For several years, many utilities haveemployed regression analysis to forecast monthly utility usage by residential customers usingweather forecasts, the number of holidays, the number of days in the month, and other factors.For example, the Connecticut Department of Public Utility Control (CDPUC) has determinedthat regression, properly used, can accurately predict natural gas usage. Most public gas utilities serving Connecticut have reported levels of accuracy from 4% to 10% using regression.One company, Dominion Natural Gas Company of Ohio, uses this approach not to forecast, butto explain to customers why their natural gas bills have gone up or down compared to the priormonth and to the same month of the prior year. The bill shows total MCF (thousand cubic feetof natural gas) used by the customer for that month and why the total MCF usage has changed,based on three factors:1. Change in temperature. Each degree increase in temperature…

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.)

What is bias error in forecasting? What are some of the causes?

Explain causal forecasting methods?

Lenovo uses the ZX-81 chip in some of its laptop computers. The prices for the chip during the past 12 months were as follows:                                                                                                                a) Use a 2-month moving average on all the data and plot the averages and the prices.b) Use a 3-month moving average a nd add the 3-month plot to the graph created in part (a).c) Which is better (using the mean absolute deviation): the 2-month average or the 3-month average?d) Compute the forecasts for each month using exponential smoothing, with an initial forecast for January of $1.80. Use a = .I, then a = .3, and finally a = .5. Using MAD, whicha is the best?

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.

State what is a qualitative forecasting model and it uses under forecasting ?

Refer to the following null hypothesis formulated by a restaurant manager who wanted to investigate the factors that encourage the customers to return to their restaurant in future. Identify which data analysis method is the most appropriate for the null hypothesis below. * "There is no relationship between Return in Future and Service Quality, Food Quality and Food Presentation". t-test one-way ANOVA correlation O multiple regression

How is forecasting accuracy measured? (Provide a definition for “forecasting error” and mention two measures that are used to assess forecasting accuracy.)

Give a proper explanation of what is meant by the adaptive forecasting  ?

Explain what assumptions do qualitative forecasting systems make ?

The market research team at AdRight is assigned the task The market research team at AdRight is assigned the task to identify the profile of the typical customer for each tread-mill product offered by CardioGood Fitness. 1. Create a customer profile for each CardioGood Fitness treadmill product line by developing appropriate tables and charts. 2. Write a report to be presented to the management of Car-dioGood Fitness detailing your findings. The market research team at AdRight is assigned the task

Is forecasting technique more accurate than TSA? Justify your answer.

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 interval

Explain what can a company do to resolve the problem of forecasting accuracy?

a) Using the trend-projection (regression) method, develop a forecastfor the sales of Volkswagen Beetles in Nevada through year 6.b) What is the MAD?~c) What is the MSE?

Explain four qualitative forecasting techniques ?

Explain the relationship between forecasting and quality management?

Given the data below, what is the simple linear regression model that can be used to predict sales in future weeks?   Week 1 2 3 4 5 Sales 150 157 162 166 177

Which are the QUALITATIVE TECHNIQUES IN FORECASTING?

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.