consider the following time series data.Month 1 2 3 4 5 6 7Value 24 13 20 12 19 23 15a. compute MSe using the most recent value as the forecast for the next period. Whatis the forecast for month 8?b. compute MSe using the average of all the data available as the forecast for the nextperiod. What is the forecast for month 8?c. Which method appears to provide the better forecast?
Q: Consider the following time series data. Week 1 2 4 6 Value 20 12 16 10 19 13 Using the naïve method…
A:
Q: Assuming the trend to be absent determine the seasonal indices for the Following time series by the…
A:
Q: Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23 14 19 12 20 24 15…
A: Given, Month 1 2 3 4 5 6 7 Value 23 14 19 12 20 24 15 The required calculation can be…
Q: a) Suppose that a time series appears to exhibit a sudden major shift in pattern, how could you…
A: INTRODUCTION : the straight-line trend is given by the equation yt = a+bX the normal equations for…
Q: 1 2 3 4 5 6 value 18 13 16 11 17 14 a) Construct a time series plot? What type of pattern exists in…
A: Provided time series data is:Week 1 2 3 4 5 6Value 18 13 16 11 17 14 a) time series plot can be…
Q: Consider the following time series data: Month 1. 2 3. 4 5. Value 25 14 19 11 20 24 16 (a) Compute…
A: Given that
Q: Consider the following time series. 1 3 4 5 7 10 10 14 16 (a) Choose the correct time series plot.…
A: Excel Procedure: Enter t and yt in Excel>Data>Data Analysis> ‘Regression’>Select yt…
Q: Consider the following time series data. Month 1 2 3 4 5 Value 25 12 19 13 18 24 16 (a) Compute MSE…
A:
Q: Consider the following time series data. Month 1 2 3 4 5 6 Value 26 15 22 14 21 25 17
A: Note: As per BNED guidelines, we are answering first three subparts. If any doubt, kindly resubmit…
Q: Consider the following time series data. Week 1 2 Value 18 12 3 4 5 16 12 16 Using the naive method…
A: Mean Absolute Percentage Error: It is the percentage value of the accuracy of the forecasted values.…
Q: Consider the following time series data. Week 1 2 3 4 5 6 Value 20 12 16 10 19 13 Using the…
A: Using the naive method, we can compute the measures of forecast accuracy as follows: 1. The mean…
Q: Consider the following time series: Quarter Year 1 Year 2 Year 3 80 74 65 69 61 51 48 50 43 68 71 82…
A: a. The time-series plot is obtained using Excel as; 1. Enter the data into spreadsheet. 2. Go to…
Q: How have stocks performed in the past? The following table presents the data that shows the…
A:
Q: Consider the following time series data. Excel File: data17-01.xls Week 1 2 3 4 5 6 Value 18 13 16…
A: Note that here we have to find the accuracy measures of the forecast using the naive method of…
Q: Consider the following time series data. Week 1 2 3 4 5 6 Value 17 14 17 11 16 15 Develop a…
A: (c) Exponential smoothing forecast : Ft+1 = α Yt + (1-α) Ft Where , F t+1 is the forecast of the…
Q: Consider the following time series data. Week 1 2 3 4 6 Value 19 13 16 12 18 14 Using the naive…
A: Naive forecasting is the technique in which the last period's sales are used for the next period's…
Q: (a) Compute four-week and five-week moving averages for the time series. If required, round your…
A: Step 1: To find the n-period moving average = st+st-1+...st-n-1n, s is the sales We can find 4 and 5…
Q: Consider the following time series data. Month 1 2 3 4 5 6 7 Value 24 13 20 12 19…
A: Introduction: It is required to forecast using exponential smoothing, and obtain the mean square…
Q: Consider the following time series data. Month 1 2 3 4 Value 25 12 19 13 18 24 16 (a) Compute MSE…
A: calculate the forecast error compute the mean squared error
Q: Consider the following time series. Quarter Year 1 Year 2 Year 3 1 71 68 62 2 49 41 51…
A:
Q: Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 5 7 8 2 5 4. 6 4 6 8 (a)…
A: Hello! As you have posted more than 3 sub parts, we are answering the first 3 sub-parts. In case…
Q: onsider the following gasoline sales time series data. Click on the datafile logo to reference the…
A: Using a weight of 1/2 for the most recent observation, 1/3 for the second most recent observation,…
Q: #1Consider the following time series data.Week 1 2 3 4…
A: a) Forecast for week 7 can be calculated as:
Q: Consider the following time series data. Week 1 2 3 45 6 Value 18 11 13 10 17 12 (a) Construct a…
A: Given information: Week Value 1 18 2 11 3 13 4 10 5 17 6 12 Note: As per…
Q: Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23 14 19 12 20 24 15…
A: Provided time series data is: Month 1 2 3 4 5 6 7 Value 23 14 19 12…
Q: a. Consider the following time series data: 1 | 2 18 5 | 6 | 14 Week 3 4 Value 13 16 11 17 Using the…
A: As per the honor code, We’ll answer the first question since the exact one wasn’t specified. Please…
Q: Consider the following time series data. Month 2 3 4 5 6 7 Value 24 13 20 12 19 23 15 Construct a…
A: Hey, since there are multiple sub-parts posted, we will answer first three sub-parts. If you want…
Q: 4. Compute four-period moving average and forecasting errors for the following time series: Period…
A: Four period moving average: The four period moving average values are calculated as follows: Here,…
Q: Weighted Moving Average Forecast Forecast Error (Error)2
A: Sum of the weight should be 1.
Q: Consider the following time series data. Month 1 2 3 4 5 6 7 Value 22 11 18 10 17 21 13 (a) Compute…
A: The following solution is given below:
Q: 1. Question Table 1.8 Revenues of the Past Five Years Year 1 3 4 Revenues ($) 10 12 15 13 16 Table…
A: Given, The time series data of certain revenue for five years Year 1 2 3 4 5 Revenue 10 12 15…
Q: Consider the following time series data. Week 1 2 3 4 5 6 Value 19 14 17 12 18 14 Using the…
A:
Q: The number of tourists who visit a coastal town is shown in the graph below. Number of tourists 16…
A: The given time series data for the visited number of tourists is:
Q: Question 1: Find the trend for the time series using moving average method. Forecast Week 4…
A: Using moving average method,
Q: Using simple exponential smoothing and the following time series data, respond to each of the items.…
A: “Since you have posted a question with multiple sub-parts, we will solve first three subparts for…
Q: Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 16 11 17 14
A: Using excel we obtain that the data appear to follow the horizontal pattern. The excel output is…
Q: Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23 15 20 12 18 22 15…
A: # we are entitled to solve three subparts at a time, please resubmit the other questions if you wish…
Q: Consider the following time series data: Month 1 2 3 4 5 6 7 Value 25 13 19 11 19 23 16 (a) Compute…
A: Formula for mean square error of the data set is given by MSE=∑Absolute error2N-1 Here,…
Q: Consider the following time series date Week: 1 2 3 4 5 6 Value: 16 15 17 13 16 13 Develop a…
A: From the given information, Week 1 2 3 4 5 6 Value 16 15 17 13 16 13 Three-week moving…
Q: Using simple exponential smoothing and the following time series data, respond to each of the items.…
A: Given data: Period Demand 1 104 2 132 3 143 4 137 5 146 6 150 7 101 8 126 9 116…
Q: Consider the following time series data: 1 2 3 4 5 6 7 26 15 22 14 21 25 17 PART 1.Compute MSE…
A: Given 1 2 3 4 5 6 7 26 15 22 14 21 25 17
Q: Question 2: Find the trend for the time series using moving average method. Forecast for Year 4…
A: using moving average method :
Q: Consider the following time series data. Week 1 3 4 Value 19 12 17 10 18 15 Using the naive method…
A: c.
Q: Suppose these data show the number of gallons of gasoline sold by a gasoline distributor in…
A: Given that, weights for most recent observation is 1/2, weights for second recent observation is 1/3…
Q: If Aț is the actual value of the time series at time t,F; is the forecast value for time t,and n is…
A: Note:- Hey there! As per our policy we can answer only 1 ques at a time. Please make a new request…
Q: Using the time series data in the table, respond to the following items. Period Sales 1 $ 615 2…
A: sample mean (x̄) = Σx/n = 171/18 = 9.50 sample mean (ȳ) = Σy/n = 19696/18 = 1094.22 The equation…
consider the following time series data.
Month 1 2 3 4 5 6 7
Value 24 13 20 12 19 23 15
a. compute MSe using the most recent value as the forecast for the next period. What
is the forecast for month 8?
b. compute MSe using the average of all the data available as the forecast for the next
period. What is the forecast for month 8?
c. Which method appears to provide the better forecast?
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 6 images
- Consider the following time series data: 1 2 3 4 5 6 7 26 15 22 14 21 25 17 PART 1.Compute MSE using the most recent value as the forecast for the next period and then calculate the forecast for month 8. PART 2.Compute MSE using the average of all the data available as the forecast for the next period. What is the forecast for month 8?Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23 14 19 12 20 24 15 (a) Compute MSE using the most recent value as the forecast for the next period. If required, round your answer to one decimal place. What is the forecast for month 8? If required, round your answer to one decimal place. Do not round intermediate calculation. (b) Compute MSE using the average of all the data available as the forecast for the next period. If required, round your answer to one decimal place. Do not round intermediate calculation. What is the forecast for month 8? If required, round your answer to one decimal place. (c) Which method appears to provide the better forecast? - Select your answer -NaïveAll data averageItem 5Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23 14 19 12 20 24 15 (a) Compute MSE using the most recent value as the forecast for the next period. If required, round your answer to one decimal place. What is the forecast for month 8? If required, round your answer to one decimal place. Do not round intermediate calculation. (b) Compute MSE using the average of all the data available as the forecast for the next period. If required, round your answer to one decimal place. Do not round intermediate calculation. What is the forecast for month 8? If required, round your answer to one decimal place.
- Consider the following time series data: Month 1 2 3 4 5 6 7 Value 24 12 20 11 19 24 16 (a) Compute MSE using the most recent value as the forecast for the next period. If required, round your answer to one decimal place. What is the forecast for month 8? If required, round your answer to one decimal place. Do not round intermediate calculation. (b) Compute MSE using the average of all the data available as the forecast for the next period. If required, round your answer to one decimal place. Do not round intermediate calculation. What is the forecast for month 8? If required, round your answer to one decimal place. (c) Which method appears to provide the better forecast? All Data average or NaiiveConsider the following time series data: Month 1 2 3 4 5 6 7 Value 25 12 19 13 18 22 14 (a) Compute MSE using the most recent value as the forecast for the next period. If required, round your answer to one decimal place. What is the forecast for month 8? If required, round your answer to one decimal place. Do not round intermediate calculation. (b) Compute MSE using the average of all the data available as the forecast for the next period. If required, round your answer to one decimal place. Do not round intermediate calculation. What is the forecast for month 8? If required, round your answer to one decimal place. (c) Which method appears to pConsider the following time series data. Week 1 2 3 4 5 6 Value 18 13 16 11 17 14 Construct a time series plot. What type of pattern exist in the data? Develop a three-week moving average for this time series. Compute MSE and forecast for week 7. Use a = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and forecast for week 7.
- Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 15 13 15 15 (a) Choose the correct time series plot. (i) (ii) (iii) (iv) What type of pattern exists in the data? (b) Develop a three-week moving average for this time series. Compute MSE and a forecast for week 7. Do not round intermediate calculations. If required, round your answers to two decimal places. Week Value Forecast 1 18 2 13 3 15 4 13 5 15 6 15 MSE: The forecast for week 7: (c) Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7. Do not round intermediate calculations. If required, round your answers to two decimal places. Week Value Forecast 1 18 2 13 3 15 4 13 5 15 6 15 MSE: The forecast for week 7: (d) Compare the three-week moving average forecast with the…Consider the following time series data Month 1 2 3 4 5 6 7 8 9 10 11 12 Value 90 89 86 91 90 91 88 86 91 93 90 88 a) Construct a time series plot in Excel. Label the axes and graph. c) Develop a smoothing model forecast with α = 0.35. Compute MSE and forecast for month 13 d) Which model is the better predictor? Why?Consider the following time series data Week 1 2 3 4 5 6 Value 18 13 16 11 17 14 a. Construct a time series plot. What type of pattern exists in the data?b. Develop the three-week moving average forecasts for this time series. compute MSE and a forecast for week 7.c. Use α = .2 to compute the exponential smoothing forecasts for the time series.Compute MSE and a forecast for week 7.d. Compare the three-week moving average approach with the exponentialsmoothing approach using α = .2. Which appears to provide more accurate forecasts based on MSE? explain.e. Use a smoothing constant of α = .4 to compute the exponential smoothing forecasts. does a smoothing constant of .2 or .4 appear to provide more accurate forecasts based on MSE? explain.
- Consider the following time series data Month 1 2 3 4 5 6 7 8 9 10 11 12 Value 80 82 84 83 83 84 85 84 82 83 84 83 a) Construct a time series plot in Excel. Label the axes and graph. b) Develop a three month moving average forecast. Compute MSE and a forecast for month 13. c) Develop an exponential smoothing forecast with a = 0.35. Compute MSE and a forecast for month 13.Consider the following time seriesweek 1 2 3 4 5 6 value 18 13 16 11 17 14 a) Construct a time series plot? What type of pattern exists in the datab) Develop the three week moving average forecasts for this time series, then compute the measures of forecasts accurecy