Time left 0:5tuestion 11"A marketing manager is interested in tracing the pattern of sales of a particular product in fourdifferent regions of the country on a quarterly basis for the next 5 years" this type of study is:lot yetnsweredMarked out of00O aCross-sectionalFlag questionO b. No correct answerOc.FlexibleOd. LongitudinalQuestion 12Theidentifies the variables that might be important, as determined by previousNot yetresearch findingsansweredMarked out ofO aProblem statement1.00Ob.literature reviewFlag questionVariablesOd No correct answer

"A marketing manager is interested in tracing the pattern of sales of a particular product in four different regions of the country on a quarterly basis for the next 5 years" this type of study is: a. Cross-sectional O b. No correct answer Oc. Flexible O d. Longitudinal

"A marketing manager is interested in tracing the pattern of sales of a particular product in four different regions of the country on a quarterly basis for the next 5 years" this type of study is: a. Cross-sectional O b. No correct answer Oc. Flexible O d. Longitudinal

Principles Of Marketing

17th Edition

ISBN:9780134492513

Author:Kotler, Philip, Armstrong, Gary (gary M.)

Publisher:Kotler, Philip, Armstrong, Gary (gary M.)

Chapter1: Marketing: Creating Customer Value And Engagement

Section: Chapter Questions

Problem 1.1DQ

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Paraphrase this one. Analyze and elaborate in 200 words. Time series analysis is a specific way of analyzing a sequence of data points collected over an interval of time. In time series analysis, analysts record data points at consistent intervals over a set period of time rather than just recording the data points intermittently or randomly. However, this type of analysis is not merely the act of collecting data over time. What sets time series data apart from other data is that the analysis can show how variables change over time? In other words, time is a crucial variable because it shows how the data adjusts over the course of the data points as well as the final results. It provides an additional source of information and a set order of dependencies between the data. Time series analysis typically requires a large number of data points to ensure consistency and reliability. An extensive data set ensures you have a representative sample size and that analysis can cut through noisy…
16.6 which type of graph would you recommend to show each of the following? why? A. A comparison of changes in average annual per capita income for the United States and japan from 2000 to 20018. B. The percentage compositiion of average family expenditure patterns, by the major types of expenditures, for families whose heads are under age 35 compared with families whose heads are 55 or older. C. A comparaison of the changes in charitable giving between December 21, 2007 and December 31, 2017.
8.) Create an exponential smoothing model that minimizes the MSE for the data set. Use Solver to determine the optimal value of α. What is the optimal value of α? Prepare a line graph comparing the exponential smoothing predictions against the original data. What are the forecasts for the next 2 years using this technique? Year Sales 1 283 2 288 3 336 4 388 5 406 6 412 7 416 8 435 9 428 10 435 11 462 12 452 13 474 14 476 15 497 16 487 17 523 18 528 19 532 20 552
The following time series shows the sales of a particular product over the past 12 months. Month Sales 1 105 2 135 3 120 4 105 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 110 (a)Use ? = 0.4 to compute the exponential smoothing values for the time series. (Round your answers to two decimal places.) Month t Time Series Value Yt Forecast Ft 1 105 2 135 3 120 4 105 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 110 (b)Use a smoothing constant of ? = 0.6 to compute the exponential smoothing forecasts. (Round your answers to two decimal places.) Month t Time Series Value Yt Forecast Ft 1 105 2 135 3 120 4 105 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 110
44. A new car dealership is considering opening branches in three of the largest cities in the state. As the expansion will require the hiring of new employees, the owners want to make sure that future customer demand for cars will be stable. Which factor in human capital planning would be important in this scenario? A.Competitor forecasts B.Interest rates forecasts C.Economic forecasts D.Production forecasts
A commercial bakery has recorded sales (in dozens) for three products, as shown below: Day Blueberry Muffins Cinnamon Buns Cupcakes 1 52 16 68 2 54 15 32 3 53 17 36 4 51 17 71 5 58 20 44 6 51 21 39 7 53 25 38 8 56 22 69 9 49 26 36 10 51 28 36 11 56 29 33 12 52 29 73 13 55 30 39 14 51 31 36 15 55 33 31 Click here for the Excel Data File a. Predict orders for the following day for each of the products using an appropriate naive method.
15) Which is not considered to be an OPSCM execution process byany of the most popular models?Select one:A. returnsB. manufacturing/production/makeC. logisticsD. procurement/acquisition/purchasingE. research & development16) Purchasing’s role is to get the lowest possible price oneverything needed by OPSCM.Select one:A. TrueB. False17) Which OPSCM macro designs / operations models /manufacturing environments use a forecast to plan for fulfillmentof demand?Select one:A. MTO & ETOB. MTO & MTSC. CTO & MTSD. ETO & MTSE. All of them use forecasts.
K 2. Setting an advertising budget is a forecasting exercise. What are the fundamental principles that should be adhered to when undertaking forecasting? Be conservative and use the best evidence-based technique available Be innovative and use multiple methods and choose the optimal one Be conservative and use multiple evidence-based techniques, taking the average result Be innovative and use multiple evidence-based techniques, taking the average result
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Macomb Inc. used Excel to run a least-squares regression analysis on the production cost data resulting in the following output: Regression StatisticsMultiple R 0.9834 R Square 0.9596 Observations 30 Coefficients Standard Error T Stat P-ValueIntercept 174,980 61,580 2.84 0.021 Production units (X) 11.53 0.9265 12.44 0.000 What total cost would Macomb predict for a month in which production is 2,000 units? Multiple Choice $174,900 $63,433 $198,040 $23,037
This a 4 part question that am confused about. Please show the work by hand not excel. 4-1 Sales of a particular product (in the thousands of dollars) for the years 2015 through 2018 have been $48,000, $64,000, $67,000 and $83,000 respectively. (a)What sales would you predict for 2019, using simple four-year moving avaerage? (b) What sales would you predict for 2019, using a weighted moving average with weights of 0.50 for the immediate preceding year and 0.3, 0.15, and 0.05 for the three years before that? (I am able to calculate and know the answer for (a) $65,000 and (b) $73,000. What I don't understand is the following : 4-2 Using exponential smoothing with a weight of 0.6 on actual values: (a) If sales are $45,000 and $50,000 for 2017 and 2018, what would you forecast for 2019 ? (The first forecast is equal to the value of the preceding year.) (b) Given this forecast and actual 2019 sales of $53,000, what would you then forecast for 2020? 4-3 In Problem 4-1, taking…
1. Omar has heard from some of his customers that they will probably cut back on order sizes in thenext quarter. The company he works for has been reducing its sales force due to falling demand andhe worries that he could be next if his sales begin to fall off. Believing that he may be able to convince his customers not to cut back on orders, he turns in an optimistic forecast of his next quartersales to his manager. What are the pros and cons of doing that?