Use quantitative forecast methods for the data shown below: PERIOD DEMAND FORECAST 1 24 2 34 3 36 4 37 5 41 6 44 7 45 8Compute using: Naïve Method Three Period Moving Average4 period weighted moving averageExponential Smoothing with .30 factorLeast Square Method 1. Use quantitative forecast methods for the data shown below:PERIODDEMANDFORECAST1242343364375416447458Compute using:1. Naïve Method2. Three Period Moving Average3. 4 period weighted moving average4. Exponential Smoothing with .30 factor5. Least Square Method

Data is given for demand according to periods we have to use quantitative forcast according to…

Use quantitative forecast methods for the data shown below: PERIOD DEMAND FORECAST 1 24 2 34 3 36 4 37 5 41 6 44 7 45 8 Compute using: Naïve Method Three Period Moving Average 4 period weighted moving average Exponential Smoothing with .30 factor Least Square Method

Use quantitative forecast methods for the data shown below: PERIOD DEMAND FORECAST 1 24 2 34 3 36 4 37 5 41 6 44 7 45 8 Compute using: Naïve Method Three Period Moving Average 4 period weighted moving average Exponential Smoothing with .30 factor Least Square Method

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter7: Distance And Approximation

Section7.3: Least Squares Approximation

Problem 31EQ

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Floyd Distributors, Inc., provides a variety of auto parts to small local garages. Floyd purchases parts from manufacturers according to the EOQ model and then ships the parts from a regional warehouse direct to its customers. For a particular type of muffler, Floyd's EOQ analysis recommends orders with Q* = 20 to satisfy an annual demand of 180 mufflers. Floyd's has 250 working days per year, and the lead time averages 15 days.Note: Use Appendix B to identify the areas for the standard normal distribution. What is the reorder point if Floyd assumes a constant demand rate? If required, round your answer up to the nearest whole number. r = fill in the blank 1 Suppose that an analysis of Floyd's muffler demand shows that the lead-time demand follows a normal probability distribution with µ = 12 and σ = 2.2. If Floyd's management can tolerate one stock-out per year, what is the revised reorder point? If required, round your answer up to the nearest whole number. r = fill in the blank…
Exercise 1: (Using Boxplots) 1. (Should be done by hand) - Given the following data, draw the corresponding boxplot after calculating the following measures: Quartiltes( first, media, third), IQR, the inner fences, the outer fences, the max and the min. - Identify potential outliers and give their types (Mild or Extreme). Justify your answer. 2 4 2 25 5 4 7 90 4 10 4 7 11 10 11 12 10 20
The management of BCD Inc. would like to separate the fixed and variable components of electricity as measured against machine hours in one of its plants. Data collected over the most recent six months follow:Electricity MachineMonth Cost Hours January $1,100 4,500February 1,110 4,700March 1,050 4,100April 1,200 5,000May 1,060 4,000June 1,120 4,600Required: 1. Using the method of least squares, compute the fixed cost and the variable cost rate for electricity expense. (Round estimates to the nearest cent.) 2. Compute coefficients of correlation and determination
In a 1996 article published in Technometrics, 38, pp. 11–22, the authors discuss the reliability of nuclear power plant emergency generators. To control the risk of damage to the nuclear core during accidents at nuclear plants, the reliability of emergency diesel generators (EDG) to start on demand must be maintained at a very high level. At each nuclear power plant there are a number of such generators. An overall measure of reliability is obtained by counting the number of times the EDGs successfully work when needed. The table here provides the number of successful demands for implementation of an EDG between each subsequent failure in an EDG for all the EDGs at each of seven nuclear power plants. A regulatory agency wants to determine if there is a difference in the reliability of the seven nuclear power plants. (Use Data _8). Run an ANOVA (Regardless of the assumptions) and Kruskal–Wallis test.
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Two methods of assembling a television component are under consideration by management. Because of mire expensive machinery requirements, method B will only be adopted if it is significantly shorter than method A by more than a minute. In order to determine which method to adopt a skilled worker becomes proficient in both methods, and is then timed with a stopwatch while assembling the component by both methods. The following data were obtained:
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If a researcher wants to find out the average monthly expenses of all university students in Edmonton, this average would be an example of ________ . a. samplecross out b. statisticcross out c. populationcross out d. parameter
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