Advance Analytics Internship Coding Challenge Sai Charan Thotapalli 01/25/2015 Data description First‚ is need to know the amount of information this analysis will involve‚ in this section a general review of data. Number of rows‚ this mean the number of observations to be analysed. 21‚061 observations are found. ## [1] 21061 Number of columns‚ this mean the number of variables to be analysed. ## [1] 12 The original names of the variables. ## [1] ## [4] ## [7] ## [10] "day" "platform" "orders"
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time-series‚ and seasonal e. departmental‚ organizational‚ and territorial Which of the following is not a step in the forecasting process? a. determine the use of the forecast b. eliminate any assumptions c. determine the time horizon d. select a forecasting model(s) e. validate and implement the results 2. 3. 4. 5. 6. 7. 1 8. The two general approaches to forecasting are a. qualitative and quantitative b. mathematical and statistical c. judgmental and qualitative d. historical
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BUS 305 Practice Exam 3 1) Assume the following time series data representing the number of sales per day your company’s employees make. Year-Quarter | t | Yt | 2001-1 | 1 | 17 | 2001-2 | 2 | 26 | 2001-3 | 3 | 21 | 2001-4 | 4 | 15 | 2002-1 | 5 | 19 | 2002-2 | 6 | 18 | 2002-3 | 7 | 21 | 2002-4 | 8 | 23 | a) Use Applet #16 to calculate the seasonal index numbers for the four quarters. b) Interpret what each of the four indices you computed in (a)
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PRIVATE TRANSPORT The last century has seen a huge transformation in how we travel. Technological advances mean that we can fly long distances in half the time it took fifty years ago and we now commute by train‚ boat‚ car and coach in relative comfort and safety. This section looks at the development and fire safety issues of modern day transport‚ highlighting the application of flame retardants for the construction and comfort of passenger travel. AIMS&OBJECTIVE
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Forecasting Forecast can help managers by reducing some of the uncertainty‚ thereby enabling them to develop more meaningful plans than they might otherwise. A forecast is a statement about the future. Features common to all forecasts 1. The same underlying causal system that existed in the past will continue to exist in the future. 2. Forecasts are rarely perfect; actual results usually differ from predicted values. 3. Forecasts for groups of items tend to be more accurate than forecasts
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University Faculty of Financial & Administrative Sciences O PERATIONS M ANAGEMENT B y: Dr. Ola E lgeuoshy S pring 2013 C hapter (3) F orecasting F ORECASTING “ a Statement about the future value of a variable of i nterest .” U ses of Forecasting: Accounting Cost/profit estimates Finance Cash flow and funding Human Resources Hiring/recruiting/training Marketing Pricing‚ promotion‚ strategy MIS IT/IS systems‚ services Operations Schedules‚ MRP‚ workloads
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problems in the book. But read the book. Forecasting 1. Do forecasting accuracy increase or decrease as the planning horizon increases? 2. Do forecasting accuracy increase or decrease as items are grouped (aggregated?) 3. What is Delphi method? What makes it work? 4. What problems do you see with sales force composite estimate? 5. What is causal (associative) forecasting? 6. What is time series forecasting? 7. What are the components of time series? 8. Which
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Practical Business Analysis Group Project 3: Time Series Analysis and Forecasting Due: March 14‚ 2013 at the beginning of the class NAME NAME NAME 1. Insert a time series plot. Comment on the underlying trend and seasonal patterns. This is your own observation. There is no need to run any forecasting model here. (Insert the plot here.) (Insert your comments here.) 2. Forecasting using a Multiplicative Model: a. Use the time series decomposition method
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STUDY OF PROFITABILITY OF A LOGISTICS COMPANY USING ECONOMETRICS TOOLS Executive summary This study examines the impact of three factors‚ namely Sales‚ Fixed assets and Interest paid on the profitability of a logistics company. Econometric tool of multiple linear regression model was used for analyzing the impact of above factors on profitability of a major logistics company GATI Limited. Based on the financial data of last 10 years 2000-2009 the regression analysis has revealed that profitability
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cyclical variation c. seasonal effect d. unpredictable random factor e. none of the above 3. Examine the plot of data. (1) Sales Time It is likely that the best forecasting method for this plot would be: a. a two-period moving average b. a secular trend upward c. a seasonal pattern that can be modeled using dummy variables or seasonal adjustments d. a semi-log regression model e. a cubic functional form 4. Emma uses
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