MindTap Business Statistics for Ragsdale's Spreadsheet Modeling & Decision Analysis, 8th Edition, [Instant Access], 2 terms (12 months)
8th Edition
ISBN: 9781337274876
Author: Cliff Ragsdale
Publisher: Cengage Learning US
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A cosmetic manufacturer wants to understand why users shop online versus in store, and how they might take better advantage of the online channel; the manufacturer wants to make improvements to the company’s website. The manufacturer also wants to find out why Nordstrom.com (a competitor’s website) appeals to cosmetic consumers versus other websites. The cosmetic manufacturer also wants to find ways to improve consumers’ in-store experience. Further, the manufacturer wants to produce a three (3) month sales forecast based on the data produced from the research.
Objectives:
Why users shop online versus in store
How to take advantage of the online channel
How to improve the company’s website
Why does Nordstrom.com (their competitor) appeal to cosmetic consumers versus other websites.
Ways to improve consumers’ in-store experience
Requireed: Produce fictitious findings, chart and dat analysis that relate back to the objectives.
What is differ from SMA (Simple moving average), WMA (Weighted moving average), SLR (Single linear regression), and ESM ( Exponential smoothing model).
Assume that Young Corporation is introducing a new heartburn relief medication as an over the counter treatment. Young's marketing team used data to determine how to meet the minimum sales goals. The team determined that switching to an online marketing plan would be the best to maximize sales. This is an example of using
Question 8 options:
a)
descriptive analytics
b)
diagnostic analytics
c)
predictive analytics
d)
prescriptive analytics
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- Stock market analysts are continually looking for reliable predictors of stock prices. Consider the problem of modeling the price per share of electric utility stocks (Y). Two variables thought to influence this stock price are return on average equity (X1) and annual dividend rate (X2). The stock price, returns on equity, and dividend rates on a randomly selected day for 16 electric utility stocks are provided in the file P13_15.xlsx. Estimate a multiple regression equation using the given data. Interpret each of the estimated regression coefficients. Also, interpret the standard error of estimate and the R-square value for these data.arrow_forwardA pharmacist has been monitoring sales of a certain over-the-counter pain reliever. Daily sales duringthe last 15 days wereDay: 1 2 3 4 5 6 7 8 9Number sold: 36 38 42 44 48 49 50 49 52Day: 10 11 12 13 14 15Number sold: 48 52 55 54 56 57a. Which method would you suggest using to predict future sales—a linear trend equation or trendadjustedexponential smoothing? Why?b. If you learn that on some days the store ran out of the specific pain reliever, would that knowledgecause you any concern? Explain.c. Assume that the data refer to demand rather than sales. Using trend-adjusted smoothing with aninitial forecast of 50 for week 8, an initial trend estimate of 2, and .3, develop forecastsfor days 9 through 16. What is the MSE for the eight forecasts for which there are actual data?arrow_forwardMovieFlix - Advertising and Subscriptions Year 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 Advertising Expenditure $ 000 51 58 62 65 68 75 77 78 78 84 85 76 Membership Subscriptions (1) Plot the scattergraph for the data. 62 68 66 66 欲 72 73 72 78 73 75 67 76 (ii) Use the data, to develop a regression equation relating advertisi. expenditure to membership. (iii) Estimate the membership if $40 000 is spent on advertising. (iv) How much must be spent on advertising to obtain a membership of 80 (000)? (v) What is the nature of the relationship between advertising expenditure and membership? (vi) Forecast 2024 membership using an alternative method, clearly explaining the limitations of your selected method. (vii) What are the limitations of the method used in (iii)?arrow_forward
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