years 4 to 12 with a weighted moving average in which registration in the most recent year are given a weight of 2 and registration in the other 2 years are given a weight of 1. c) Graph the original data and the two forecasts. Which of the two forecasting methods seems better? 10. City Government has collected the following data on annual sales tax collections and new car registrations. Annual sales tax collections (in millions) 1.0 1.4 1.9 2.0 1.8 2.1 2.3 New car registrations ( in thousands)
Premium Forecasting Operations management Planning
(Kwik Trend Analysis) Measure Value Future Period Forecast Error Measures 9. 1‚362‚143. Bias (Mean Error) -0.0156 10. 1‚455‚952. MAD (Mean Absolute Deviation) 50‚773.7969 11. 1‚549‚762. MSE (Mean Squared Error) 3‚498‚808‚832. 12. 1‚643‚572. Standard Error (denom=n-2=6) 68‚301.3828 13. 1‚737‚381. Regression line 14. 1‚831‚191. Demand (y) = 517857.2 15. 1‚925‚000. + 93‚809.5234 * Time (x) 16. 2‚018‚810. Statistics 17. 2‚112‚619. Correlation coefficient 0.9642 18. 2‚206‚429. Coefficient
Premium Regression analysis Errors and residuals in statistics Linear regression
Summary of Forecasting Profitability and Earnings In the competitive environment‚ there is a strong prediction in economic theory that profitability is mean reversion both within and across industries. For instance‚ under competition‚ firms will leave relatively profitless industries and turn into relatively high profitable industries. Some companies introduce new products and technologies that bring more profitability for an entrepreneur. Otherwise‚ the expectation of failure which makes companies
Premium Arithmetic mean Regression analysis Errors and residuals in statistics
FINANCIAL FORECASTING AND CAPITAL BUDGETING ANALYSIS Ronald W. Spahr Professor and Chair‚ Department of Finance‚ Insurance and Real Estate Fogelman College of Business and Economics University of Memphis‚ Memphis‚ TN 38152-3120 Office phone: (901) 678-1747 or 5930‚ Fax: (901) 678-0839 spahr@memphis.edu January 10‚ 2011 FINANCIAL FORECASTING AND CAPITAL BUDGETING ANALYSIS Course Description This course covers fundamental concepts and techniques of financial forecasting and financial
Premium Compound interest Time value of money Costs
to fight her but she was to strong. She kicked me into the wall‚ I was on the ground cornered. Harley Quinn raised her mallet in the air and I was about to die. But let’s start from the beginning‚ were my story begins. Hi‚ I’m Henry‚ I’m what you call an average person. I’m not very popular and I’m not a geek‚ I’m just average. But today my mom is finally going to tell me what she study’s at work. Harley‚ that’s my mom’s name‚ is very secretive with her work. She’s been like that all 15 years of my
Premium Mother 2005 singles
Issues‚ Problems and Techniques involved in forecasting Sales of New Products James D. Jackson There are countless issues‚ problems‚ and considerations in forecasting for new product. First‚ we must understand what a sales forecast is and what is designed to do. A sales forecast is an educated guess of future performance based on sales and expected market conditions. The value of the forecast is that we can predict and prepare for the future objectively. The objective is to
Premium
FORECASTING AT HARD ROCK CAFÉ* With the growth of Hard Rock Café – from one pub in London in 1971 to more than 110 restaurants in more than 40 countries today – came a corporate wide demand for better forecasting. Hard Rock uses long-range forecasting in setting a capacity plan and intermediate-term forecasting for looking in contracts for leather goods (used in jackets) and for such food items as beef‚ chicken‚ and pork. In short-term sales forecasts are conducted each month‚ by café‚ and then
Premium Forecasting Planning Regression analysis
155 Y 12 18 20 15 25 30 35 20 25 10 Meaning of Regression and Correlation Differences 3 Formula/ Computation/ Solution to the problem 5 2 5 Briefly explain the methods and theories of Business forecasting. Meaning of Business
Premium Normal distribution Stratified sampling Sampling
USE OF SATELLITE TECHNOLOGY FOR WEATHER FORECASTING Weather forecasting is the application of science and technology to predict the state of the atmosphere for a given location and over the years many techniques have been used to forecast the weather‚ Satellite technology is one of it. The history of weather forecasting and early satellite programmes was told using archive film‚ highlighting the difficulties associated with a lack of weather data. Two hundred dedicated weather satellites
Premium Satellite Infrared Weather forecasting
CHAPTER 4: FORECASTING TRUE/FALSE 1. Tupperware only uses both qualitative and quantitative forecasting techniques‚ culminating in a final forecast that is the consensus of all participating managers. False (Global company profile: Tupperware Corporation‚ moderate) 2. The forecasting time horizon and the forecasting techniques used tend to vary over the life cycle of a product. True (What is forecasting? moderate) 3. Sales forecasts are an input to financial planning‚ while demand forecasts
Premium Management Strategic management Marketing