TrendLinesCaseStudy (4)

Series forecasting for Business In a regression model if you drop one insignificant variable then Ol a. R will increase and SSE also will increase. O b. None O c. R2will decrease and SSE also will decrease. O d. R2will increase but SSE will decrease. O e. R2will decrease but SSE will increase. CLEAR MY CHOICE IOUS PAGE

Paraphrase this one. Analyze and elaborate in 85 words. Regression analysis data also helps you understand whether the relationship between two different variables can give way to potential business opportunities.

Paraphrase this one. Analyze and elaborate in 200 words. Why organizations use time series data analysis? Time series analysis helps organizations understand the underlying causes of trends or systemic patterns over time. Using data visualizations, business users can see seasonal trends and dig deeper into why these trends occur. With modern analytics platforms, these visualizations can go far beyond line graphs. When organizations analyze data over consistent intervals, they can also use time series forecasting to predict the likelihood of future events. Time series forecasting is part of predictive analytics. It can show likely changes in the data, like seasonality or cyclic behavior, which provides a better understanding of data variables and helps forecast better.

Any thoughts and how this relates to marketing management

Create a line graph for this set of monthly sales numbers. Run a regression analysis.       What is the regression equation?     Is the regression equation significant? How can you tell? What is the Rsquare?  What does this signify?   What is the sales forecast for month 13?       1 550   2 548   3 546   4 549   5 550   6 548   7 551   8 551   9 552   10 551   11 553   12 553

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.

Arnold Tofu owns and operates a chain of 12 vegetable protein “hamburger” restaurants in northern Chicago area. Sales figures and profits for the stores are in the table below. Sales are given in millions of dollars; profits are in hundreds of thousands of dollars. Calculate a regression line for the data. What is your forecast of profit for a store with sales of $24 million? 30 millions?   Store Sales Profits 1 6 14 2 3 11 3 5 15 4 5 16 5 15 24 6 18 28 7 17 22 8 12 21 9 15 26 10 20 43 11 14 34 12 5 9

What are the advantages and disadvantages of aggregating demand from a forecasting view? Are there other things that should be considered when going from multiple DCs to a DC?

Descibe and analyze how the Trend Approach in data analysis is the monitoring of variables to see how they change over time and how they can be used to predict future variable values. Discuss trend analysis in depth and the reasons companies rely on such strategy in their business operations. Discuss how Trend Analytics may encourage awareness and help a brand to grow. What are three examples of Trend Analysis that can be offered, that may help an organization gain a competitive edge in the industry in which it operates? Please utilize relevant Digital Marketing Analytics in the response.

A forecaster is assessing two different models for demand. The output from each model and the actual demand data appears in the table. Use MAD to compare the two models. Which model does a better job of forecasting? Demand Model 1 52 52 54 56 60 56 58 58 52 57 53 57 Model 2 21 55 54.7 51.9 54.5 52.0 53.8 55.8 59.6 56.4 52 53.5 53.5 55.5 56.5 57.5 57.8 58.0 58.0 56.0 52.6 56.3 56.6 55.0 53.4 O Model 2 is 9% better O Model 1 is 8% better O Model 2 is 15% better O Model 1 is 5% better

The table below summarizes September 20223 financial performance by two market segments. The dates highlighted in orange indicate occupancy higher than 90% Please find the correct statement about the data analysis based on the table. Market segment 1 shows pattern of peak on Weekdays. Market segment 2 shows a pattern of peak on Weekends. Based on the demand pattern, Market Segment 2 could be leisure travelers. Most guests in the market segment 2 are less price sensitive than those in the market segment 1.

If Mr. Ishaq is the Director of Lexus Company in Nizwa, what does he need to do to predict customer sales or product demand? a. Forecasting b. Marketing c. Production d. Coordination

1.) Use the following dummy variables to develop an estimated regression equation to account for seasonal effects only in the data. Qtr1 = 1 if Quarter 1, 0otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise, Qtr3 = 1 if Quarter 3, 0otherwise. Based only on the seasonal effects in the data, compute estimates of quarterly sales for year 6.a. Report the estimate of sales for Year 6 Quarter 1. (Enter a whole value.)b. Report the estimate of sales for Year 6 Quarter 4. (Enter a whole value.)2.) Let Period t = 1 refer to the observation in quarter 1 of year 1; Period t = 2refer to the observation in quarter 2 or year 1; … and Period t = 20 refer to the observation in quarter 4 of year 5. Using the dummy variables defined in part (b) and Period (t), develop an estimated regression equation to account for seasonal effects and any linear trend in the time series. Based upon the seasonal effects in the data and linear trend, compute the estimates of quarterly sales for year 6.a. Report the estimate…