Mop and Broom Manufacturing has tracked the number of units sold of their most popular mop over the past 24 months. This is shown.Month12345678Sales Month238249254267277282402296910111213141516Sales300327346349353364373363Month+1718192021222324Sales361381375383384401409403a. Develop a linear trend line for the data. (Round your answers to 2 decimal places, e.g.,25.28.)Sales =(month)b. Compute a correlation coefficient for the data and evaluate the strength of the linear relationship. (Round your answer to 2 decimal places, the tolerance is +/-0.01.)Correlation coefficient is. It indicateslinear relationship. (Use not rounded amounts to answer this question.)c. Using the linear trend line equation, develop a forecast for the next period,month 25. (Round your answer to 2 decimal places, the tolerance is +/-0.01. Do not round intermediate results used to achieve this answer.)Forecast for month 25 =

Find the given details below: Given…

Answered: Mop and Broom Manufacturing has tracked…

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...

See similar textbooks

Similar questions

Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown in the following table: Year -1 2 Registrations (000) 5.0 5.0 Year Forecast 4 4.3 This exercise contains only parts a and b. a) Using a 3-year moving average, the forecasted registrations (in thousands) for years 4 through 12 are (round your responses to one decimal place): 5 4.6 4 3 3.0 5 6 6.6 7 8 4 5 6 9 10 6.0 11.0 9.0 7.0 9.0 13.0 16.0 6 7 8.7 8 9 7 9 8.3 b) Using a 3-year weighted moving average in which the registrations in the most recent year are given a weight of 2, and registrations in the other 2 years are each given a weight of 1, the forecasted registrations (in thousands) for years 4 through 12 are (round your responses to one decimal place): Year Forecast 8 10 9.6 9 11 12.6 10 12 15.3 11 11 17.0 12
Plz 100% correct solution needed.
Sarah has been custom manufacturing sweaters now for 7 years. Her annual sales are shown below. Year Sales 1 178 2 215 3 233 4 301 5 337 6 330 7 361 What are her forecasted sales for year 8 using a 5 year weighted average where w1=.4, w2=.3, w3=.15, w4=.1, w5=.05? What are her forecasted sales for year 8 using exponential smoothing? Assume year 7 forecast was 323. Select your own alpha. Which forecast method is the best for Sarah to use based on MAD? Why?
Gretchen is proposing to present the sales from her lemondade stand as a pie chart tracking how much she sells each day to track the overall trend. Explain why this plan won't work and what she could use instead
Three years ago CMSV admissions office began using exponential smoothing with a smoothing constant of 0.25 to forecast the number of applications for admissions each year. Based on the previous experience, this process was begun with an initial estimate of 5000 applications. The actual number of applications turned out to be 4600 in the first year and grew to 5300 in the second year and 6000 last year. Determine the forecasts that were made for each of the past three years. Calculate MSE and MAD for these three years and determine the forecast for the next year.
Develop a 3-week moving average for the following time series Time Time Series Period Value |1 13 2 12 3 17 |4 15 6 15 15 Find the value for MSE. If needed round your intermediate calculations to no more than 2 decimal places. Round your final answer to 2 decimal places
t sales 1 324 2 245 3256 4 567 5 346 6 357 7 357 8 257 9 1678 What is the predicted future sales for time period 13?
d. Now based on regression analysis predict the number of patients that Dr. Fok will see in year 11 and 12 based on the forecasted Robbery Rate - year 11 is 117.1 and year 12 is 120.8. e. What is the MAD? f. What is the correlation Coefficient – r-value? % g. Based on the overall analysis, how well does each model fit the data?
The K&R Camera shop sells all the latest cameras and accessories. To meet customer demand, the manager must forecast demand for items she sells. Lately the XR-42S zoom lens has been very popular. Recent monthly demand for this item has been as shown: Number of Lenses Month Sold 1 12 17 2 3 4 15 20 18 23 6.
Da
Suppose these data show the number of gallons of gasoline sold by a gasoline distributor in Bennington, Vermont, over the past 12 weeks. Sales (1,000s of gallons) Week 1 17 2 21 3 19 23 5 18 6 16 7 21 8 19 9 23 10 21 11 16 12 23 (a) Using a weight of - for the most recent observation, for the second most recent observation, and - for third most recent observation, compute a three-week weighted moving average for the time series. (Round your answers to two decimal places.) Time Series Value Weighted Moving Average Forecast Week 1. 17 2 21 19 4 23 5 18 6 16 7 21
What is the importtance of forecasting room availability and room revenue for Front Office Managers.

SEE MORE QUESTIONS

Recommended textbooks for you

Practical Management Science

Operations Management

ISBN:

9781337406659

Author:

WINSTON, Wayne L.

Publisher:

Cengage,

Operations Management

ISBN:

9781259667473

Author:

William J Stevenson

Publisher:

McGraw-Hill Education

Operations and Supply Chain Management (Mcgraw-hi…

Operations Management

ISBN:

9781259666100

Author:

F. Robert Jacobs, Richard B Chase

Publisher:

McGraw-Hill Education

Practical Management Science

Operations Management

ISBN:

9781337406659

Author:

WINSTON, Wayne L.

Publisher:

Cengage,

Operations Management

ISBN:

9781259667473

Author:

William J Stevenson

Publisher:

McGraw-Hill Education

Operations and Supply Chain Management (Mcgraw-hi…

Operations Management

ISBN:

9781259666100

Author:

F. Robert Jacobs, Richard B Chase

Publisher:

McGraw-Hill Education

Business in Action

Operations Management

ISBN:

9780135198100

Author:

BOVEE

Publisher:

PEARSON CO

Purchasing and Supply Chain Management

Operations Management

ISBN:

9781285869681

Author:

Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. Patterson

Publisher:

Cengage Learning

Production and Operations Analysis, Seventh Editi…

Operations Management

ISBN:

9781478623069

Author:

Steven Nahmias, Tava Lennon Olsen

Publisher:

Waveland Press, Inc.

SEE MORE TEXTBOOKS