Two different forecasting techniques (F1 and F2) were used to forecast demand for cases of bottled water. Actual demand and the two sets of forecasts are as follows: PREDICTED DEMAND

Period Demand F1 F2
1 68 63 66
2 75 70 67
3 70 75 70
4 74 69 72
5 69 70 73
6 72 68 75
7 80 70 77
8 78 74 84

Required:
Compute MAD for each set of forecasts. Given your results, which forecast appears to be more accurate

Answers

Answer 1
Answer:

Answer:

Kindly check explanation

Explanation:

Given the data:

Period Demand F1 F2

1 68 63 66

2 75 70 67

3 70 75 70

4 74 69 72

5 69 70 73

6 72 68 75

7 80 70 77

8 78 74 84

Mean absolute deviation (MAD) for F1:

P___Demand(D) __F1__F2___|D - F1|___|D-F2|

1____ 68 _______63 __66____5______ 2

2____75_______ 70__ 67____ 5______ 8

3____70_______ 75__ 70____ 5______ 0

4____74_______ 69__ 72____ 5______ 2

5____69_______ 70__ 73____ 1______ 4

6____72_______ 68__ 75____ 4______3

7____80_______ 70__ 77____ 10 _____3

8____78_______ 74__ 84____ 4______6

Mean absolute deviation (MAD) For F1 :

Σ(|D - F1|)/n :

(5 + 5 + 5 + 5 + 1 + 4 + 10 + 4) / 8

= 39 / 8

= 4.875

Mean absolute deviation (MAD) For F2 :

Σ(|D - F2|)/n :

(2 + 8 + 0 + 2 + 4 + 3 + 3 + 6) / 8

= 28 / 8

= 3.50

F2 seems to be more accurate has it has a Lower MAD value

Answer 2
Answer:

Final answer:

To determine which forecast is more accurate between F1 and F2, the Mean Absolute Deviation (MAD) for each was calculated. It was found that Forecast F2, with a lower MAD of 3.75 compared to F1's 5.25, is the more accurate forecast.

Explanation:

The subject of this examination pertains to a field in mathematics known as forecasting. The Mean Absolute Deviation (MAD) is a commonly used method to measure the accuracy of forecast predictions. It is computed by taking the absolute value of the actual demand minus the forecasted demand, and then finding the average of these absolute differences over a specific period.

For F1: |68-63| + |75-70| + |70-75| + |74-69| + |69-70| + |72-68| + |80-70| + |78-74|. When you calculate these absolute differences and then divide the sum by 8 (number of periods), you get a MAD of 5.25.

For F2: |68-66| + |75-67| + |70-70| + |74-72| + |69-73| + |72-75| + |80-77| + |78-84|. Similarly, calculate these absolute differences and divide the sum by 8, you get a MAD of 3.75.

Given the results, the F2 forecast appears to be more accurate as it has a smaller MAD.

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Answers

Answer:

True.

Explanation:

A flat demand curve for a particular product indicates that the product is very sensitive to a change in the price level and on the other hand, a steeper demand curve indicates that any change in the price level doesn't have a effect on quantity demanded or have a little impact.

Elasticity of demand refers to the responsiveness of quantity demanded with any change in the level of price of the product.

The demand for these products is more elastic because a slightly change in the price level of a product will result in a large change in the quantity demanded for that product.

Peartree Inc. provides the following​ data: 2015 2014
Cash $47,000 ​$25,000
Accounts​ Receivable, Net 99,000 ​62,000
Merchandise Inventory 79,000 ​50,000
​Property, Plant, and​
Equipment, Net 181,000 ​ 120,000
Total assets $406,000 ​$257,000
Additional​ information:
Net sales $530,000
Cost of Goods Sold 150,000
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Net income 181,000
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Answers

Answer: 61.84%

Explanation:

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The formula is;

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Answers

Answer:

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Answers

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Explanation:

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Answers

Answer:

Revision of wordy, unorganized paragraphs

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Explanation:

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Answers

Answer:

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