Give quality answerNo handwritten solutionAnswer all partsYou get up vote for sure. 1. Sales data for two years are as follows. Data are aggregated with two months of sales (in1,000 units) in each "period."Year 1PeriodYear 2Sales Period126152165184167123January-FebruaryMarch-AprilMay-JuneJuly-AugustSeptember OctoberNovember-Decembera) Plot the data.b) Fit a linear regression model to all the sales data.January FebruaryMarch-AprilMay-JuneJuly-AugustSeptember OctoberNovember-DecemberSales172151204238189149c) In addition to the regression model, determine multiplicative seasonal index factors. Afull cycle is assumed to be a full year.d) Using the results from parts b) and c), prepare a forecast for the next year.

Year Period (x) Sales (y)Year1112621523165418451676123Year 2717281519204102381118912149

1. Sales data for two years are as follows. Data are aggregated with two months of sales (in 1,000 units) in each "period." Year 1 Period January February March-April May-June July-August September October November-December Year 2 Sales Period 126 152 165 184 167 123 January February March-April May-June July-August September October November-December Sales 172 151 204 238 189 149 a) Plot the data. b) Fit a linear regression model to all the sales data. c) In addition to the regression model, determine multiplicative seasonal index factors. A full cycle is assumed to be a full year. d) Using the results from parts b) and c), prepare a forecast for the next year.

1. Sales data for two years are as follows. Data are aggregated with two months of sales (in 1,000 units) in each "period." Year 1 Period January February March-April May-June July-August September October November-December Year 2 Sales Period 126 152 165 184 167 123 January February March-April May-June July-August September October November-December Sales 172 151 204 238 189 149 a) Plot the data. b) Fit a linear regression model to all the sales data. c) In addition to the regression model, determine multiplicative seasonal index factors. A full cycle is assumed to be a full year. d) Using the results from parts b) and c), prepare a forecast for the next year.

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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