Homework Answers
Answer is option c)
Forecasts produced using exponential smoothing methods are weighted averages of past observations, with the weights decaying exponentially as the observations get older. the more recent the observation the higher the associated weight.
The unknown parameters and the initial values for any exponential smoothing method can be estimated by minimizing the sum of squared errors (SSE).
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The weight of past observations in exponential smoothing is chosen (a) minimising the root of the...
Which of the following exponential smoothing constant values puts the same weight on the most recent...
Which of the following exponential smoothing constant values puts the same weight on the most recent time series value as does a 3-period moving average? a. .2 b. .25 c. .75 d. .8
1: Please select the right statement(s) that apply to the exponential smoothing with trend adjustment forecasting...
1: Please select the right statement(s) that apply to the exponential smoothing with trend adjustment forecasting method Select one or more: a. The exponential smoothing with trend adjustment requires the initial forecast b. The use of exponential smoothing with trend adjustment is appropriate when the underlying average of the time series is either increasing or decreasing c. α and β should be carefully selected between 0 and 1 in a way to minimize the forecasting errors d. Setting α close...
Problem 08-06 Algo (Moving Averages and Exponential Smoothing) Consider the following time series data: Month 1...
Problem 08-06 Algo (Moving Averages and Exponential
Smoothing)
Consider the following time series data:
Month
1
2
3
4
5
6
7
Value
23
13
21
13
19
21
17
(a) Choose the correct time series plot Month (iv) Month Select your answer What type of pattern exists in the data? Select your answer- (b) Develop a three-month moving average for this time series. Compute MSE and a forecast for month 8. If required, round your answers to two decimal...
Based on the time series values from problem number 2, consider the following table of exponential...
Based on the time series values from problem number 2, consider the following table of exponential smoothing values using ? = ?. ? for the time series. Month Units Sold (Thousands) Forecast (F) error Squared error 1 9 * * * 2 3 (i)? (ii)? 36 3 6 7.2000 -1.2000 1.44 4 6 6.8400 -0.8400 0.7056 5 12 6.5880 5.4120 29.2897 6 9 8.2116 0.7884 0.6216 7 (iii)? a) b) c) d) e) a. Compute the number (i): Show your...
part B & C. the results of the unit root test are goven Homework 7 12.4...
part B & C. the results of the unit root test are
goven
Homework 7 12.4 The data file oil.dat contains 88 annual observations on the price of oil (in 1967 constant dollars) for the period 1883-1970. (a) Plot the data. Do the data look stationary, or nonstationary? (b) Use a unit root test to demonstrate that the series is stationary (c) What do you conclude about the order of integration of this series? Capture Series: OIL Workfile: OI::oil View...
Armer Company is accumulating data to use in preparing its annual profit plan for the coming year...
Armer Company is accumulating data to use in preparing its annual profit plan for the coming year. The cost behavior pattern of the maintenance costs must be determined. The accounting staff has suggested the use of linear regression to derive an equation for maintenance hours and costs. Data regarding the maintenance hours and costs for the last year and the results of the regression analysis follow Maintenance Machine 24 Month Cost $ 4,200 3,000 3,600 2,820 4,350 2,960 3,030 4,470...
In a regression analysis of a first-order model involving 3 predictor variables and 25 observations, the...
In a regression analysis of a first-order model involving 3 predictor variables and 25 observations, the following estimated regression equation was developed. yhat= 10 - 18x1+ 3x2+ 14x3 Also, the following standard errors and the sum of squares were obtained. Sb1= 3, Sb2= 6, Sb3= 7, SST = 4800 & SSE = 1296. At the 5% level, the coefficient of x1? Select one: a. cannot be tested, because not enough information is provided b. should be estimated again, because it...
Q3. error Based on the time series values from problem number 2, consider the following table...
Q3. error Based on the time series values from problem number 2, consider the following table of exponential smoothing values using a = 0.3 for the time series. Units Sold Forecast (F) Squared error Month (Thousands) 9 2 3 (0)? (ii)? 36 3 6 7.2000 -1.2000 1.44 4 6 6.8400 -0.8400 0.7056 5 12 6.5880 5.4120 29.2897 6 9 8.2116 0.7884 0.6216 7 (iii)? a) (3pt) Compute the number (i): Show your work for full credit b) (3pt) Compute the...
Q3 A-E Q3. Based on the time series values from problem number 2, consider the following...
Q3
A-E
Q3. Based on the time series values from problem number 2, consider the following table of exponential smoothing values using a = 0.3 for the time series. Units Sold Forecast (F) error Month (Thousands) Squared error 9 2 3 (i)? (ii)? 36 6 7.2000 -1.2000 1.44 4 6 6.8400 -0.8400 0.7056 5 12 6.5880 5.4120 29.2897 6 9 8.2116 0.7884 0.6216 7 (iii)? 3 a) (3pt) Compute the number (i): Show your work for full credit b) (3pt)...
Problem 08-06 Algo (Moving Averages and Exponential
Smoothing)
Consider the following time series data:
Month
1
2
3
4
5
6
7
Value
23
13
21
13
19
21
17
(a) Choose the correct time series plot Month (iv) Month Select your answer What type of pattern exists in the data? Select your answer- (b) Develop a three-month moving average for this time series. Compute MSE and a forecast for month 8. If required, round your answers to two decimal...
part B & C. the results of the unit root test are
goven
Homework 7 12.4 The data file oil.dat contains 88 annual observations on the price of oil (in 1967 constant dollars) for the period 1883-1970. (a) Plot the data. Do the data look stationary, or nonstationary? (b) Use a unit root test to demonstrate that the series is stationary (c) What do you conclude about the order of integration of this series? Capture Series: OIL Workfile: OI::oil View...
Armer Company is accumulating data to use in preparing its annual profit plan for the coming year. The cost behavior pattern of the maintenance costs must be determined. The accounting staff has suggested the use of linear regression to derive an equation for maintenance hours and costs. Data regarding the maintenance hours and costs for the last year and the results of the regression analysis follow Maintenance Machine 24 Month Cost $ 4,200 3,000 3,600 2,820 4,350 2,960 3,030 4,470...
Q3. error Based on the time series values from problem number 2, consider the following table of exponential smoothing values using a = 0.3 for the time series. Units Sold Forecast (F) Squared error Month (Thousands) 9 2 3 (0)? (ii)? 36 3 6 7.2000 -1.2000 1.44 4 6 6.8400 -0.8400 0.7056 5 12 6.5880 5.4120 29.2897 6 9 8.2116 0.7884 0.6216 7 (iii)? a) (3pt) Compute the number (i): Show your work for full credit b) (3pt) Compute the...
Q3
A-E
Q3. Based on the time series values from problem number 2, consider the following table of exponential smoothing values using a = 0.3 for the time series. Units Sold Forecast (F) error Month (Thousands) Squared error 9 2 3 (i)? (ii)? 36 6 7.2000 -1.2000 1.44 4 6 6.8400 -0.8400 0.7056 5 12 6.5880 5.4120 29.2897 6 9 8.2116 0.7884 0.6216 7 (iii)? 3 a) (3pt) Compute the number (i): Show your work for full credit b) (3pt)...
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