MGMT 655- HW 3

gnment 1.d X ment%202.pdf .xlsx HP Work & Supply Chain Marakane Sales JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC Total - 1 / 2 - Question 1 The monthly demand of a company is showed below, please use the static method to forecast the demand for Year 6. Year 1 Q Search 2,000 3,000 3,000 3,000 4,000 6,000 7,000 6,000 10,000 12,000 14,000 8,000 78,000 Catherine Caramp....pdf Z Year 2 140% 3,000 4,000 3,000 5,000 5,000 8,000 3,000 8,000 12,000 12,000 16,000 10,000 89,000 LDE + @ I Assignment 2 Year 3 Question 2 Historical demand for Peeps is as displayed in the table. 2,000 5,000 5,000 3,000 4,000 6,000 7,000 10,000 15,000 15,000 18,000 8,000 98,000 T2202- 2022.pdf 0 Year 4 }}) 5,000 4,000 4,000 2,000 5,000 7,000 10,000 14,000 16,000 16,000 20,000 12,000 115,000 ! Year 5 5,000 2,000 3,000 2,000 7,000 6,000 8,000 10,000 20,000 20,000 22,000 8,000 113,000 Q☆ l EN US

(4) The Great Northwest Outdoor Company is a catalog sales operation that specializes in outdoor recreational clothing. Demand for its items is very seasonal, peaking during the holiday season and during the spring. It has accumulated the following data for orders per season (quarter) during the past five years. Orders (1,000s) Year 1 Year 2 Year 3 Year 4 Year 5 Winter (Q 1) Spring (Q 2) Summer (Q 3) 18.6 18.1 22.4 23.2 24.5 23.5 24.7 28.8 27.6 31.0 20.4 19.5 21.0 24.4 23.7 Fall (Q 4) Total 41.9 46.3 45.5 47.1 52.8 104.4 108.6 117.7 122.3 132.0 Develop a seasonally adjusted forecast model for these order data. Forecast demand for each quarter for year 6, using the annual trend line as given: Y(t) = 96.33 + 6.89t (a) Find seasonal index for each quarter (b) Find seasonally adjusted demand forecast for each quarter for year 6 (c) Find MAD for seasonally adjusted forecasting for year 1 through 5.

III. What is the expected value of sample information IV. What is the efficiency of the survey information

1- Explain the facts regarding the data, including number of variables and datapoints.   #of variables       # of observations     2- Complete the table as follows, List the variables features including, names, variable, level, etc.    Variable Variable Type Variable Level     Age Numeric Ratio     Gender Categorical        Sales_Rep         Business         Years         College         Personality         Certificates         Feedback         Salary         NPS

Reflective Paper 1 Mulling over M & M In the 1930s Spanish Civil War, Forrest Mars saw soldiers eating chocolate pelletswith a hard shell to carry these chocolates easily without the risk of melting. This gavehim an idea, and the M&M’s Plain Chocolate Candies were introduced in the USAmarket in 1941.The product was a hit with the American soldiers and U.S. Army became its first bigcustomer as it gave the soldiers an option to carry chocolate in tropical climates withoutmelting. In 1949, the brand introduced the tagline “Melt in your mouth, not in yourhand,” and this led to a considerable increase in its sales because it delivered on asolid insight, especially from parents who did not like to see their children making amess when eating chocolate. M&M’s are button-shaped chocolate-filled candies withhard shells surrounding a filling which varies depending upon the type of M&M’s. Theproduct is available in various colors – red, yellow, orange, brown, green, and…

Reflective Paper 1 Mulling over M & M In the 1930s Spanish Civil War, Forrest Mars saw soldiers eating chocolate pelletswith a hard shell to carry these chocolates easily without the risk of melting. This gavehim an idea, and the M&M’s Plain Chocolate Candies were introduced in the USAmarket in 1941.The product was a hit with the American soldiers and U.S. Army became its first bigcustomer as it gave the soldiers an option to carry chocolate in tropical climates withoutmelting. In 1949, the brand introduced the tagline “Melt in your mouth, not in yourhand,” and this led to a considerable increase in its sales because it delivered on asolid insight, especially from parents who did not like to see their children making amess when eating chocolate. M&M’s are button-shaped chocolate-filled candies withhard shells surrounding a filling which varies depending upon the type of M&M’s. Theproduct is available in various colors – red, yellow, orange, brown, green, and…

Reflective Paper 1 Mulling over M & M In the 1930s Spanish Civil War, Forrest Mars saw soldiers eating chocolate pelletswith a hard shell to carry these chocolates easily without the risk of melting. This gavehim an idea, and the M&M’s Plain Chocolate Candies were introduced in the USAmarket in 1941.The product was a hit with the American soldiers and U.S. Army became its first bigcustomer as it gave the soldiers an option to carry chocolate in tropical climates withoutmelting. In 1949, the brand introduced the tagline “Melt in your mouth, not in yourhand,” and this led to a considerable increase in its sales because it delivered on asolid insight, especially from parents who did not like to see their children making amess when eating chocolate. M&M’s are button-shaped chocolate-filled candies withhard shells surrounding a filling which varies depending upon the type of M&M’s. Theproduct is available in various colors – red, yellow, orange, brown, green, and…

1- Explain the facts regarding the data, including number of variables and datapoints.   #of variables       # of observations     2- Complete the table as follows, List the variables features including, names, variable, level, etc.    Variable Variable Type Variable Level     Age Numeric Ratio     Gender Categorical        Sales_Rep         Business         Years         College         Personality         Certificates         Feedback         Salary         NPS       Part 3 is shown on the photo

Only question 1

Trail Questions National Scan, Inc., sells radio frequency inventory tags. Monthly sales for a seven-month period were as follows: Month Sales ('000 units) Feb. 19 Mar. 18 Apr 15 May 20 Jun. 18 Jul. 22 Aug. 20 Forecast September sales volume using each of the following: (1) A linear trend equation. (2) A five-month moving average (3) Exponential smoothing with a smoothing constant equal to .20, assuming a March forecast of 19('000) (4) A weighted average using 0.60 for the most recent month, 0.30 for the next most recent, and 0.10 for the next.

Do it accurate clean handwriting dont use chat gpt etc solve accurate

Variables Fil Filter variables here Name Label sex Sex age Age mrd Marital Status educ Education of Individual cworker Class of Worker region Region race race/ethnicity earnings height weight 1. Complete the following Stata operation with data Earnings_and_Height.dta: 1. Describe the variable earnings at height less than or equal to 67 inches and at height greater than 67 inches. Draw the frequency distribution of the two cases. 2. Calculate the difference of earnings in the above two cases, save as a scalar difference. 3. Use the scatter command to draw with earnings as the Y axis, height as the X axis, and "income" as the Y axis name, "height" as the X axis name. 4. Using hours as the dependent variable and height as the independent variable, we estimated the wages of 67, 70, and 65 inches, respectively. Properties Label Type Format Value label Notes Data E 5. The variable height height in centimeters is generated and a monadic linear regression is performed with earnings as the…

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3) The major variable is the central idea of the entire literature. Its sub-variables help specify which  particular aspect of the major variable is being referred to. The indicators, on the other hand, are  specific information that describes the sub-variables.  Examples:  Major variable: Study habits  Sub-variable: Time required for studying, methods of studying, and place for studying Indicators: Employing patterned time intervals for effective studying: using mnemonics in  memorizing the terms; and studying in one's ideal environment   Instructions: Identify the major variables, sub-variables, and indicators of the examples of literature review. Example 3:  On leadership Competencies and Management Skills  (refer to the photo for the details)

National Scan, Inc., sells radio frequency inventory tags. Monthly sales for a seven-month period were as follows: Month Sales(000)Units Feb. 15 Mar. 23 Apr. 12 May. 25 Jun. 19 Jul. 28 Aug. 26 Forecast September sales volume using each of the following:  (1) A linear trend equation

Part B?

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Forecasting on Operation Management

Data envelopment analysis (DEA method)   Inupt Outupt 51,38 169,119 60,45 243,167 43,33 173,158 53,43 216,138 43,38 155,161 44,35 169,157

A marketing analyst wants to examine the relationship between sales (in $1,000s) and advertising (in $100s) for firms in the food and beverage Industry and collects monthly data for 25 firms. He estimates the model Sales-o Advertising. The following ANOVA table shows a portion of the regression results. Regression Residual df 1 23 55 78.53 504.02 MS 78.53 21.91 T 3.58

help  please answer in text form with proper workings and explanation for each and every part and steps with concept and introduction no AI no copy paste remember answer must be in proper format with all working

Solved the problema) Use a 3-year moving average to forecast the sales ofVolkswagen Beetles in Nevada through year 6.b) What is the MAD? ~c) What is the MSE?