Suppose an Excel spreadsheet model has been partially created as shown below.123456789101112AFrom00.20.50.9BTo0.20.50.91CLead TimeProbability Lead Time (in days)12340.20.30.40.1DWhat formula should be used to generate a lead time (in days) from this distribution?=VLOOKUP(RAND(),A6:D9,3)=VLOOKUP(RAND(),A6:D9,4)=VLOOKUP(A6:A9,A6:D9,3)=VLOOKUP(A6:A9,A6:D9,4)E Suppose an Excel spreadsheet model has been partially created as shown below.A123456789101112AFrom00.20.50.9BTo0.20.50.91CLead TimeProbability Lead Time (in days)12340.20.30.40.1DWhat formula should be used to generate a lead time (in days) from this distribution?=VLOOKUP(RAND(),A6:D9,3)=VLOOKUP(RAND(),A6:D9,4)=VLOOKUP(A6:A9,A6:D9,3)=VLOOKUP(A6:A9,A6:D9,4)E

Given, A table of lead time with cumulative probability. Vertical Lookup is referred to as VLOOKUP.…

Answered: Suppose an Excel spreadsheet model has…

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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For the Hawkins Company, the monthly percentages of all shipments received on time over the past 12 months are: Monthly Proportion of All Shipments Received On Time 80 81 85 83 84 86 85 85 82 81 85 84 Estimate the average of MSE of a three-month moving average and an exponential smoothingfor α = 0.3. Group of answer choices 1.24 2.4 3.56 4.25 4.58
Dic 2 - Time Series Analysis and F eBook Problem 6-01 (Algorithmic) Consider the following time series data. Thm Week 1 2 3 4 5 6 Value 20 13 15 11 19 13 Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. a. Mean absolute error. If required, round your answer to one decimal place. b. Mean squared error. If required, round your answer to one decimal place. c. Mean absolute percentage error. If required, round your intermediate calculations and final answer to two decimal places. % d. What is the forecast for week 7? If required, round your answer to two decimal place.
Mop and Broom Manufacturing has tracked the number of units sold of their most popular mop over the past 24 months. This is shown. Month 1 2 3 4 5 6 7 8 Sales Month 238 249 254 267 277 282 402 296 9 10 11 12 13 14 15 16 Sales 300 327 346 349 353 364 373 363 Month + 17 18 19 20 21 22 23 24 Sales 361 381 375 383 384 401 409 403 a. 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 indicates linear 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 =
12 Assuming there is no change in a product's price or the quantity demanded, if a business owner wants to increase her advertising expenses by $500 monthly, ut of this would cause total costs to and the break-even quantity to question Select one: O a. stay the same; increase. O b. increase; increase. O c. decrease; increase. O d. stay the same; decrease. O. e. decrease; stay the same. car wash pays $2.500 in rent, $500 in
A careful analysis of the cost of operating an automobile was conducted by accounting manager Dia Bandaly. The following model was developed: y = 3,600+ 0.16x, where y is the annual cost and x is the miles driven. a) If the car is driven 15,000 miles this year, the forecasted cost of operating this automobile = $ b) If the car is driven 26,000 miles this year, the forecasted cost of operating this automobile = $ (enter your response as a whole number). (enter your response as a whole number).
for this table. In other words, the table of data provided does not need a composite primary key. Table 1. Parking Tickets STID LName, FName PhoneNo St Lic LicNo Ticketno Date Code Fine 38249 Brown, Thomas 111-7804 FL BRY 123 15634 09/17/17 2 $25 38249 Brown, Thomas 111-7804 FL BRY 123 16017 09/13/17 1 $15 82453 Green, Sally 391-1689 AL TRE 141 14987 09/05/17 3 $100 82453 Green, Sally 82453 391-1689 AL TRE 141 Green, Sally 391-1689 AL TRE-141 16293 17892 09/18/17 1 $15 09/13/17 2 $25 Please examine the table of data and perform the following tasks: 1. Depict the full key, partial and transitive functional dependencies in the data table using the written notation (e.g., ID →Name, Address);
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A company wants to forecast demand using the weighted moving average. If the company uses three prior yearly sales values (i.e., the year 2014 = 155, the year 2015 = 140 and year 2016 = 170), and we want to weight the year 2014 at 30%, the year 2015 at 35% and year 2016 at 40%, which of the following is the weighted moving average forecast for the year 2017? 170 158 O 164 O 160
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