The manager of a travel agency has been using a seasonally
adjusted forecast to predict demand for packaged tours. The actual
and predicted values are as follows:
| Period | Demand | Predicted | |||||||
| 1 | 138 | 113 | |||||||
| 2 | 198 | 200 | |||||||
| 3 | 158 | 150 | |||||||
| 4 | 93 | 102 | |||||||
| 5 | 88 | 80 | |||||||
| 6 | 133 | 135 | |||||||
| 7 | 128 | 128 | |||||||
| 8 | 127 | 124 | |||||||
| 9 | 92 | 109 | |||||||
| 10 | 147 | 150 | |||||||
| 11 | 102 | 94 | |||||||
| 12 | 87 | 80 | |||||||
| 13 | 122 | 140 | |||||||
| 14 | 132 | 128 | |||||||
a. Compute MAD for the fifth period, then
update it period by period using exponential smoothing with α =
.05. (Round your intermediate calculations and final
answers to 3 decimal places.)
| t Period |
A Demand |
MADt | |||||
| 1 | 138 | ||||||
| 2 | 198 | ||||||
| 3 | 158 | ||||||
| 4 | 93 | ||||||
| 5 | 88 | ||||||
| 6 | 133 | ||||||
| 7 | 128 | ||||||
| 8 | 127 | ||||||
| 9 | 92 | ||||||
| 10 | 147 | ||||||
| 11 | 102 | ||||||
| 12 | 87 | ||||||
| 13 | 122 | ||||||
| 14 | 132 | ||||||
b. Compute a tracking signal for periods 5
through 14 using the initial and updated MADs. (Negative
values should be indicated by a minus sign. Round your intermediate
calculations and final answers to 3 decimal
places.)
| t Period |
A Demand |
Tracking Signal |
|||||
| 1 | 138 | ||||||
| 2 | 198 | ||||||
| 3 | 158 | ||||||
| 4 | 93 | ||||||
| 5 | 88 | ||||||
| 6 | 133 | ||||||
| 7 | 128 | ||||||
| 8 | 127 | ||||||
| 9 | 92 | ||||||
| 10 | 147 | ||||||
| 11 | 102 | ||||||
| 12 | 87 | ||||||
| 13 | 122 | ||||||
| 14 | 132 | ||||||
Please help
The manager of a travel agency has been using a seasonally adjusted forecast to predict demand...
The manager of a travel agency has been using a seasonally adjusted forecast to predict demand for packaged tours. The actual and predicted values are as follows: Period Demand Predicted 1 123 113 2 183 200 3 143 150 4 78 102 5 73 80 6 118 135 7 113 128 8 142 124 9 107 109 10 162 150 11 117 94 12 102 80 13 137 140 14 147 128 a. Compute MAD for the fifth period, then...
The manager of a travel agency has been using a seasonally adjusted forecast to predict demand for packaged tours. the actual and predicted values are as follows: Period Demand Predicted 1 124 113 2 184 200 3 144 150 4 79 102 5 74 80 6 119 135 7 114 128 8 141 124 9 106 109 10 161 150 11 116 94 12 101 80 13 136 140 14 146 128 a) Compute MAD for the fifth period, then...
(24 points) The manager of a travel agency has been using seasonally adjusted forecast to predict demand for packaged tours. The demand and the forecast for the last 14 weeks are given below: 4. Demand 113 129 191 175 139 151 227 211 163 189 269 245 191 211 Predicted 95 123 203 181 123 153 251 221 151 187 281 259 173 209 (12 points) Compute MAD for the sixth period, then update it period by period using exponential...
2. (37 points) The manager of a travel agency wants to use seasonally adjusted forecast to predict demand for packaged tours. The demand for the last 14 weeks are given below: Week 1 2 3 4 5 6 7 89 10 1112 13 14 Demand 80 95 141 132 104 114 168 152 122 143 198 185 141 158 (10 points) Estimate weekly relatives for the demand using the centered moving average method. (10 points) Estimate weekly relatives for the...
A manager has been using a certain technique to forecast demand for gallons of ice cream for the past six periods. Actual and predicted amounts are shown below. Calculate MAD, MSE, MAPE Period Demand Forecast 1 90 87 2 85 88 3 91 87 4 92 89 5 85 90 6 88 92
. The manager of a travel agency has been using a seasonally adjusted forecast to predict demand for packaged tours. The actual and predicted values are as follows;Period Demand Predicted 1 1 29 124 2 194 200 3 156 150 4 91 94 5 85 80 6 132 140 7 126 128 8 126 124 9 95 100 10 149 150 11 98 94 12 85 80 13 137 140 14 134 128a. Compute MAD for the fifth period, then...
You have two groups of apples (data below). You want to see if there is a statistical differnce between the two groups. Run descriptives and a two tailed, two sample assuming equal variance t-test. Here's your data: Weight of Apples in Grams Apple ID Farm A Farm B 1 131 151 2 147 159 3 134 162 4 134 158 5 136 159 6 137 160 7 140 150 8 134 160 9 136 160 10 133 160 11 134...
49 50 51 52 53 54 55 56 57 58 59 60 65 66 67 68 69 70 71 72 Copy sample to clipboard 62 6364 138 17 21 10 61 82 8384 85 87 88 100 89 90 91 92 93 94 95 96 81 979899 101 102 103 104 1131114111ะโ11ะโ11T118 1191120 121 122 123 124 125 126 127 128 1291 1301131132 133 1341 135T36 Use your browser's Copy command to copy the sample to your clipboard. 137 139...
On May 3, 2020, Leven Corp. negotiated a short-term loan of
$780,000. The loan is due October 1, 2020, and carries a 6.20%
interest rate. Use ordinary interest to calculate the interest.
What is the total amount Leven would pay on the maturity date? (Use
Days in a year table.) (Do not round intermediate calculations.
Round your answer to the nearest cent.)
TABLE 7-1 Exact days-in-a-year calendar (excluding leap year) 31 Day of month Dec. 31 Jan 1 2 3...
On May 3, 2020, Leven Corp. negotiated a short-term loan of
$900,000. The loan is due October 1, 2020, and carries a 7.00%
interest rate. Use ordinary interest to calculate the
interest.
What is the total amount Leven would pay on the maturity date? (Use
Days in a year table.) (Do not round intermediate
calculations. Round your answer to the nearest
cent.)
TABLE 7-1 Exact days-in-a-year calendar (excluding leap year) 31 Day of month Dec. 31 Jan 1 2 3...