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

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Q: Find the required linear model using least-squares regression. The table below gives the total sales…

Q: (a) Calculate the least squares estimates of the slope and intercept. Â₁ (Round your answer to 3…

A: The data shows the selling price (y) and annual taxes (x) for 24 houses.

Q: Year Demand 1 140 160 3 190 4 200 210 Consider the following yearly demand values for a particular…

A: The linear regression formula can be obtained for the data by plotting a line through the data…

Q: Cost accountants often estimate overhead based on the level of production. At the XYZ Company, they…

A: Let X be the units produced and Y be the overhead expenses. The regression model is Y=a+bX where Y…

Q: Given the following data, determine which model is the better fit to the data. Show any graphs or…

A: Model 1 : y=ae-bx Model 2 : y=ae-bx+c For Model 1 the graph is shown below, y=ae-bxln y =ln a -…

Q: explain the following Linear Regression Analysis 1. Straight Line Model 2. The Method of Least…

A: Linear Regression Analysis : Linear regression analysis is a statistical technique for predicting…

Q: Infant Mortality Rate. A social scientist wants to predict the infant mortality rate in cities in…

A: (a)Predictor variable:Predictor variable in a regression is the independent variable, which explains…

Q: generate a simple linear regression solution such that Price predicts Sales. If management sets the…

A: The given information is, price predicts sales, So, X = independent variable = Price Y = dependent…

Q: The smoothing constant ? represents a percentage of the forecast error. True False

Q: Run two regressions in Excel using the provided Excel file “Layoffs”. The Excel file Layoffs…

A: To perform the regression analysis in excel follow the step given below. Enter the data into…

Q: Cost accountants often estimate overhead based on the level of production. At the XYZ Company, they…

A: Let, x : units produced at different plants, y : overhead expenses.

Q: Based on this information, what percentage of the variation in overhead costs is explained by the…

A: Let the dependent variable (y) be overhead cost. The independent variable (x) is the direct labor…

Q: A regression model may be made more accurate by: Select one: O a. increasing the number of…

A: It is given that the statement about to the regression model. Here, need to find out the correct…

Q: 21. Cost Estimation. An important application of regression analysis in accounting is in the…

A: Given data: Production Volume (Units) Total Cost ($) 400 4000 450 5000 550 5400 600 5900…

Q: riple Two different simple random samples are drawn from two different populations. The first sample…

A: Given Information: Sample 1: Sample size n1=20 Number of successes x1=11 Sample 2: Sample size…

Q: Consider the following demand levels for electricity (in Megawatts) for Rundu from 1988 to 1991.…

A: Given is a timeseries data for demand levels for electricity (in Megawatts) for Rundu from 1988 to…

Q: Tesla is one of the biggest car companies presently with their popular electric cars. Here are the…

A: Let month from January to September be represented by numbers like 1, 2, 3 and so on. Then,…

Q: Beef consumption (in pounds per capita) in the United States between 1922 and 1941 are given in the…

A: In the given R code, the objective was to analyze beef consumption trends in the United States and…

Q: Bob is a photographer who sells prints on consignment. Each week during the summer, Bob checks the…

A: Week Sold 1 17 2 10 3 9 4 16 5 18 6 14 7 9 8 8

Q: Final Initial Feed Weight Weight Weight 95 42 272 77 33 226 80 33 259 100 45 292 97 39 311 70 36 183…

A: The dependent variable is Final Weight. The independent variables are Initial weight and Feed…

Q: Water is being poured into a large cone shape cistern. The volume of water measured and centimeters…

A: Here, we have given that the summary of a regression analysis which consists of the coefficient of…

Q: An important application of regression analysis in accounting is in the estimation of cost. By…

A: (a) Given, y^=1206.78+7.58x For production volume of 550 units,…

Q: Cost accountants often estimate overhead based on the level of production. At the XYZ Company, they…

Q: SUBJECT: COST ACCOUNTING AND SERVICES No 1. EAC Partnership uses regression analysis to develop a…

A: Option A y=2500+5.0x is the correct answer

Q: Interpret the y-intercept of the following regression equation: Linear Fit Demand= -529.13 + 76.6…

A: The given regression equation is Demand = -529.13+76.6*AvgTempF -529.13 is the y- intercept term

Q: A company sells Wielding generators. The demand for periods 1 to 9 is 44, 52, 50, 54, 55, 55, 60,…

A: Given information: The data presents the values of actual and forecast values for the periods 1…

Q: The systolic blood pressure dataset (in the third sheet of the spreadsheet linked above) contains…

A: Simple Linear Regression: The plot shows the linear relationship between the regressor Y and…

Q: Use the following sales data: Week Sales 1 30 2…

A: a) We know that, in naive method we can calculate forecast value as, We get result as, Using…

Q: Consider the following time series. 2 3 4 6 121 111 105 99 95 93 89 (a) Construct a time series…

Q: What are the advantages of multiplicative model .

A: “Since you have asked multiple questions, we will solve the first question for you. If you want any…

Q: An important application of regression analysis is in the estimation of cost. By collecting data on…

A: Given : Month Production Volume (units) Total costs January 2018 500 6000 February 2018 350…

Q: Construct technology schedule for the new demand. 5. By means of the least squares, find the trend…

A: Given data X Y 1 79 2 84 3 91 4 99 5 100 6 105

Q: income and consumption, Calculate estimated regression line and co-efficient of determination. 1…

A: Let Income be denoted by x and consumption be denoted by y. So, x y (x-x) (y-y) (x-x)(y-y) (x-x)2…

Q: Nassau County is located approximately 25 miles east of New York City. The accompanying data include…

A: Multiple linear regression: Suppose (xi1, xj1, y1), (xi2, xj2, y2)---(xin, xjn, yn) are n pairs of…

Q: When discussing regression analysis for cost estimation the y-variable is referred to as the O…

A: Dependent Variable: This is the variable that you are trying to predict or explain. Independent…

Q: QUESTION 4 A mortgage department of a large bank is studying its recent loans. Of particular…

A: Value (1000s)Years of EducationIncome ($1000s)1901440.31211539.61611440.8 etc.The answer from the…

Q: Consider the following quarterly demand level for electricity (in 1000 megawatts) in Mankweng from…

A: Hello! As you have posted more than 3 sub parts, we are answering the first 3 sub-parts. In case…

Q: A small detergent company in Karachi is confident that their sales are growing significantly week by…

Question

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

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Step 3

VIEW

Step by step

Solved in 3 steps with 2 images

SEE SOLUTION Check out a sample Q&A here

Similar questions

ss
The condition of an independent variable being correlated to one or more other independent variables is referred to as nonlinearity. statistical significance. multicollinearity. linearity.
Given the number of calls per week received by a dental clinic, what is the forecasted number of calls for week 12 considering that the forecast for week 1 was 47 and a smoothing constant a -0.2? CALLS 52 35 25 36 45 35 44 WEEK 1 2 3 4 5 6 7 869 10 34 calls 35 calls 33 calls 38 calls 30 35 25
Directions: Construct a Regression Model for the following data. Year Wage (in dollars) 2000 5.15 2005 5.15 2010 7.25 2016 7.25 U.S. Federal Minimum Wage 1. State your regression model (least-squares line). Make sure you first convert the Year into Years after 2000. y = 2. Use your model to predict the minimum wage for the year 2022. y = dollars 3. Use your model to predict when the minimum wage will reach $10. When During year Rounding: If you do round the numbers in your work, make sure you do it during your last step.
Month Actual demand Forecasted Demand 1 950 1000 2 1070 1000 3 1100 1000 4 960 1000 5 1090 1000 6 1050 1000 For the dataset above, compute the overall MAPE.
Draw a graph of the least-squares regression line on your scatterplot. (For hand-drawing, round the slope and y-intercept to one decimal place before drawing the line.) Be sure to show how you were able to plot the line starting with its equation. Model City Miles per Gallon Highway Miles per Gallon Acura RLX 20 29 BMW 530i 24 34 Buick LaCrosse eAssist 25 35 Chevrolet Malibu 29 36 Ford Hybrid FWD 43 41 Honda Civic 32 42 Infiniti Q50 Red Sport 20 26 Kia Forte 30 40 Lexus ES 350 22 33 Mercedes Benz AMG S 21 30 Mini Cooper Clubman 24 32 Nissan Maxima 20 30 Suburu Legacy AWD 25 34 Toyota Prius ECO 58 53
An important application of regression analysis is in the estimation of cost. By collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, one can estimate the cost associated with a particular manufacturing volume. Consider the following sample of monthly production volumes and total costs data for a manufacturing operation for the year 2018. Month Production Volume (units) Total Costs ($) January 2018 February 2018 500 6,000 350 4,000 March 2018 450 5,000 April 2018 550 5,400 May 2018 600 5,900 June 2018 400 4,000 July 2018 August 2018 September 2018 400 4,200 350 3,900 400 4,300 October 2018 600 6,000 November 2018 700 6,400 December 2018 750 7,000 Which of the following is NOT necessarily true about the interpretation of the value of b in the simple linear regression equation y = a + bx for this problem? * I. The monthly total costs will increase by $7.6437 for every one-unit increase in the…