Quarterly sales of flowers at a wholesaler are as follows:
Year |
Quarter |
Sales ($000) |
Year |
Quarter |
Sales ($000) |
1 |
I |
98 |
3 |
I |
138 |
II |
106 |
II |
130 |
||
III |
109 |
III |
147 |
||
IV |
133 |
IV |
141 |
||
2 |
I |
130 |
4 |
I |
144 |
II |
116 |
II |
142 |
||
III |
133 |
III |
165 |
||
IV |
116 |
IV |
173 |
Forecast quarterly sales for year 5 based on static method of forecasting assuming the mixed relationship exists among the variables (with trend and level have an additive relationship and these two have a multiplicative relationship with the seasonal factor).
Solution:
The table below shows the forecast including the trend element for year 5. The forecast is used as per the static method, which means taking the actual values of the previous period as the base value for the forecast. These values are then multiplied by their respective seasonality indices and we get the corresponding forecast for the period.
Quarterly sales of flowers at a wholesaler are as follows: Year Quarter Sales ($000) Year Quarter...
Quarterly sales for swarthmore cycles are follows:
1997-I 100
1997-II 110
1997-III 115
1997-IV 125
1998-I 130
1998-II 135
1998-III 145
1998-IV 150
a) Plot the sales data and graphically fit a straight
line to the points.
b) In using the data for trend prediction, would the
constant rate of change or the constant percentage change model be
more appropriate. Explain
c) Using the data to estimate the co-efficient of the
equation St = So(1+g)².
d) using a calculator or...
The quarterly sales in units for “Retailsale Sports” for the last two years are as follows: Quarter Year 1 Year 2 I 440 560 II 460 490 III 420 500 IV 390 400 Using linear regression, a straight line was fitted to the sales data. Assume that the equation of the fitted line is Y = 420 + 6 × t. The first quarter in the data is labeled t = 1. Calculate seasonal indexes for this product using the...
Quarterly sales for swarthmore cycles are follows: Period sales 1997-I 100 1997-II 110 1997-III 115 1997-IV 125 1998-I 130 1998-II 135 1998-III 145 1998-IV 150 a) Plot the sales data and graphically fit a straight line to the points. b) In using the data for trend prediction, would the constant rate of change or the constant percentage change model be more appropriate. Explain c) Using the data to estimate the co-efficient of the equation St = So(1+g)².
3. Consider the quarterly sales (measured in thousands of pounds) of a women's clothing store during the first quarter of year 2001 to the third quarter of year 2017. a) Examine the following three graphs and comment on the initial analysis for patterns. (6 marks) 150.00 140.00- 130.00 12000- 110.00 vear sales DIFF(sales,1) Coefficient Coeficiert idence Linit Confidece Lin -Lower Confidence Lint 05- 0 5- TTT a5- 뽀와한모다포안오로 Lag Number Lag Number b) Decomposition using the additive model for the...
Able Industries sales budget shows quarterly sales for the next year as follows: Quarter 1-11,000; Quarter 2-9,000; Quarter 3-13,000; Quarter 4-15,000. Company policy is to have a target finished-goods inventory at the end of each quarter equal to 10% of the next quarter's sales. Budgeted production for the second quarter of next year would be: O 1. 9,400 units 2. 8,500 units 3. 10,300 units 4. 13,000 units O
answere 12 to 13
12) Superior Industries' sales budget shows quarterly sales for the next year as follows: Quarter Sales (Units) First 10,000 Second 8,000 Third 12.000 Fourth 14,000 Company policy is to have a finished goods inventory at the end of each quarter equal to 20% of the next quarter's sales. What should be the budgeted production for the second quarter? a) 7,200 units. b) 8.000 units. c) 8,400 units. d) 8,800 units. 13) The Tobler Company has budgeted...
5. The quarterly sales data for three consecutive years are listed in the table below Year Quarter Sales MA CMA Index 0S0 1 1690 1938.75 2 940 19662 3 2625 1956.25 1952.5 1.34443 2500 2025 1961.25 1.27469 1800 1990 1990.625 0904239 900 2002.5 2007.5 0.448319 2900 2052.5 1996.25 1.452724 8 | 2360 | 2060 | 20275|1.163995 9 1850 2123.75 2056.25 0.899696 10 I 1100 2091.875 0.525844 11 2930 12 2615 MA refers to Moving Average computed with N 1 CMA...
Consider the following time series data.
Consider the following time series data.
Quarter
Year 1
Year 2
Year 3
1
3
6
8
2
2
4
8
3
4
7
9
4
6
9
11
(a)
Choose the correct time series plot.
(i)
(ii)
(iii)
(iv)
- Select your answer -Plot (i)Plot (ii)Plot (iii)Plot (iv)Item
1
What type of pattern exists in the data?
- Select your answer -Positive trend pattern, no
seasonalityHorizontal pattern, no seasonalityNegative trend
pattern, no seasonalityPositive...
forcast , time series question.
(a) The values of the smoothing constants, a, y, and 8 for Holt-Winters method fall between 0 and 1. Explain what happens when each of them approaches or equals the values 0 and 1. (b) It has been found that quarterly sales of some sports drinks over 8 years has the multiplicative Holt-Winters optimum smoothing constants a=0.3, y = 0.1, and 8=0.2. It is also given that the final estimates for 131 = 168.1, 631...
Maintaining a healthy weight is important for women’s health. Some physicians recommend being back to your pre-pregnancy weight six months after giving birth. Public health officials are interested in whether this is a realistic goal. Do the women in North Carolina weigh more than their pre-pregnancy weight six months postpartum? In other words, is the six months post-pregnancy weight greater than their pre-pregnancy weight? Use a paired samples t-test to compare pst6wght (variable 1) and prewght (variable 2). This uses...