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please answer question 14 with details
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cast. USE U U .L. c. What...
Omework Consider the following time series data Month 1 2 3 4 5 6 7 Value 21 14 18 13 18 21 14 a....
omework Consider the following time series data Month 1 2 3 4 5 6 7 Value 21 14 18 13 18 21 14 a. Which of the following is a correct time series plot for this data? や" -Select your answer- What type of pattern exists in the data? -select your answer- b. Develop the three-month moving average forecasts for this time series. Compute MSE and a forecast for month 8 (to 2 decimals if necessary). Enter negative values as...
2. Consider the following time series data: 2Month Value 20 15 23 6 4 13 6 18 25 10 8 10 9 24 12 10 21 13 19 14 15...
2. Consider the following time series data: 2Month Value 20 15 23 6 4 13 6 18 25 10 8 10 9 24 12 10 21 13 19 14 15 la. Use a α # 0.25 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for Month 12. b. Compare the two-month moving average forecast with the exponential smoothing forecast using a 0.25. Which appears to 17 provide the better forecast based on MSE?...
Complete PART (b) ONLY. Please use answer from Part (a). Please complete this using EXCEL; SHow...
Complete PART (b) ONLY. Please use answer from Part
(a). Please complete this using EXCEL; SHow the steps/ excel
calculations.
Month
Actual Demand
1
62
2
65
3
67
4
68
5
71
6
73
7
76
8
78
9
78
10
80
11
84
12
85
part (a)
MY answer to Part (a):
Part (b)
(b) Now calculate all the measures of
forecasting accuracy listed below for the single exponential
smoothing forecast completed in part (a)
-i) MAPE (Mean...
Do question 5 please. Use exponential smoothing with a=.2 to forecast battery sales. Assume the forecast for January was 22 batteries Month Battery Sales for cars January 20 Feb 21 March 15 April 14...
Do question 5 please.
Use exponential smoothing with a=.2 to forecast battery sales.
Assume the forecast for January was 22 batteries
Month Battery Sales for cars
January 20
Feb 21
March 15
April 14
aryws 22 bateries Bahery Sales & Use the sales data given below to deto (a) the negression oqustioe (b) the poodicted value for 1982 sales
aryws 22 bateries Bahery Sales & Use the sales data given below to deto (a) the negression oqustioe (b) the poodicted...
Time Series Analysis 3. Wonder-Z electronics Store is considering the sales pattern of the gaming consoles...
Time Series Analysis 3. Wonder-Z electronics Store is considering the sales pattern of the gaming consoles they self-manufacture. They provide you with the following data from the past five years, by seasons: Year 1 2 3 4 5 Quarter 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 Sales (1000's) 85 79 120 130 115 95 135 145 122 110 155 158 130 122 162 170 125 105 165...
TEST, I need Help A.S.A.P PLease!!! I need to submit this within the next hour and a half. It's...
1. Regression is always a superior forecasting method to exponential smoothing, so regression should be used whenever the appropriate software is available. (Points :1)TrueFalse2. Time-series models rely on judgment in an attempt to incorporate qualitative or subjective factors into the forecasting model. (Points : 1)TrueFalse3. A trend-projection forecasting method is a causal forecasting method. (Points : 1)TrueFalse4. Qualitative models attempt to incorporate judgmental or subjective factors into the forecasting model. (Points : 1)TrueFalse5. The naive forecast for the next period...
Question 3 part a & b. please show work! 3. The following time series shows the...
Question 3 part a & b. please show work!
3. The following time series shows the number of units of a particular product sold over the past six months. Units Sold Month (Thousands) 23 2 17 3 17 4 5 26 11 23 6 a. Use a = 0.2 to compute the exponential smoothing values for the time series, forecast the sales volume for month 7, and fill in the unknown spaces. Units Sold Forecast (F) error Squared error Month...
Please explain the answer in details. 2. [5 marks] Use the mass spectrum (EI-MS) and the...
Please explain the answer in details.
2. [5 marks] Use the mass spectrum (EI-MS) and the additional 'H NMR data to deduce the structure of the compound of the formula CgH603. 100 - 149 м (150) Relative Abundance (percent) 0+ரார்ராராராரா T ITIIIIIIIIIIIIIIIIINITITTITTTTTTTTTTTTTTTTTTTTTin 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 mz doublet singlet doublet
Please complete the analysis for "Bill's Brew Threw" case on page 470. (edited question: spreadsheet modeling...
Please complete the analysis for "Bill's Brew Threw" case on
page 470. (edited question: spreadsheet modeling for business
decisions by john f. kros. Edition: 5)
448 CHAPTER7 Introduction to Forecasting Forecasting Using Exponential Smoothing for Bill's Brew Threw Background Bill Fredericks runs a minimart that sells basic convenience goods like soda, bee snacks. Bill's business is good and relatively stable over time (i.e., no large trend downward over time). However, he has noticed changes in the amount of soda h...
AutoSave of Exam3 PartB_SP20_Due_04_24 - Excel File Home insert Draw Page Layout Formulas Data Review View...
AutoSave of Exam3 PartB_SP20_Due_04_24 - Excel File Home insert Draw Page Layout Formulas Data Review View Help Search ΑΙ Formula Bar с 1 Week Week D E F G H I J On 3a [10 points). Data set to your left (sheet On3a) contains information on weekly sales for a local grocery store over a 12-week period. Use the data set to answer the following questions 1. Construct a time series plot. What type of pattern exists in the data?...
omework Consider the following time series data Month 1 2 3 4 5 6 7 Value 21 14 18 13 18 21 14 a. Which of the following is a correct time series plot for this data? や" -Select your answer- What type of pattern exists in the data? -select your answer- b. Develop the three-month moving average forecasts for this time series. Compute MSE and a forecast for month 8 (to 2 decimals if necessary). Enter negative values as...
2. Consider the following time series data: 2Month Value 20 15 23 6 4 13 6 18 25 10 8 10 9 24 12 10 21 13 19 14 15 la. Use a α # 0.25 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for Month 12. b. Compare the two-month moving average forecast with the exponential smoothing forecast using a 0.25. Which appears to 17 provide the better forecast based on MSE?...
Complete PART (b) ONLY. Please use answer from Part
(a). Please complete this using EXCEL; SHow the steps/ excel
calculations.
Month
Actual Demand
1
62
2
65
3
67
4
68
5
71
6
73
7
76
8
78
9
78
10
80
11
84
12
85
part (a)
MY answer to Part (a):
Part (b)
(b) Now calculate all the measures of
forecasting accuracy listed below for the single exponential
smoothing forecast completed in part (a)
-i) MAPE (Mean...
Do question 5 please.
Use exponential smoothing with a=.2 to forecast battery sales.
Assume the forecast for January was 22 batteries
Month Battery Sales for cars
January 20
Feb 21
March 15
April 14
aryws 22 bateries Bahery Sales & Use the sales data given below to deto (a) the negression oqustioe (b) the poodicted value for 1982 sales
aryws 22 bateries Bahery Sales & Use the sales data given below to deto (a) the negression oqustioe (b) the poodicted...
Question 3 part a & b. please show work!
3. The following time series shows the number of units of a particular product sold over the past six months. Units Sold Month (Thousands) 23 2 17 3 17 4 5 26 11 23 6 a. Use a = 0.2 to compute the exponential smoothing values for the time series, forecast the sales volume for month 7, and fill in the unknown spaces. Units Sold Forecast (F) error Squared error Month...
Please explain the answer in details.
2. [5 marks] Use the mass spectrum (EI-MS) and the additional 'H NMR data to deduce the structure of the compound of the formula CgH603. 100 - 149 м (150) Relative Abundance (percent) 0+ரார்ராராராரா T ITIIIIIIIIIIIIIIIIINITITTITTTTTTTTTTTTTTTTTTTTTin 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 mz doublet singlet doublet
Please complete the analysis for "Bill's Brew Threw" case on
page 470. (edited question: spreadsheet modeling for business
decisions by john f. kros. Edition: 5)
448 CHAPTER7 Introduction to Forecasting Forecasting Using Exponential Smoothing for Bill's Brew Threw Background Bill Fredericks runs a minimart that sells basic convenience goods like soda, bee snacks. Bill's business is good and relatively stable over time (i.e., no large trend downward over time). However, he has noticed changes in the amount of soda h...
AutoSave of Exam3 PartB_SP20_Due_04_24 - Excel File Home insert Draw Page Layout Formulas Data Review View Help Search ΑΙ Formula Bar с 1 Week Week D E F G H I J On 3a [10 points). Data set to your left (sheet On3a) contains information on weekly sales for a local grocery store over a 12-week period. Use the data set to answer the following questions 1. Construct a time series plot. What type of pattern exists in the data?...
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