answer For March 2019 the forecast demand is 26479.17
here seasonality is not defined , let it defined first
March, april, May are season1(S1)
June , July , August are season2(S2)
September, October and November are season 3(S3) and
December, January and February are season 4 (S4) and data are defined as and the estimated model is
y= 21784.17+307.5*t+697.5*S1-2265*S2-477.5*S3
for March 2019, the t=13 and S1=1, S2=0, S3=0 and y=21784.17+307.5*13+697.5*1-2265*0-477.5*0=26479.17
SUMMARY OUTPUT | ||||||
Regression Statistics | ||||||
Multiple R | 0.852086363 | |||||
R Square | 0.726051171 | |||||
Adjusted R Square | 0.569508982 | |||||
Standard Error | 1208.057276 | |||||
Observations | 12 | |||||
ANOVA | ||||||
df | SS | MS | F | Significance F | ||
Regression | 4 | 27075150 | 6768788 | 4.638054 | 0.038106 | |
Residual | 7 | 10215816.67 | 1459402 | |||
Total | 11 | 37290966.67 | ||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
Intercept | 21784.16667 | 4749.729305 | 4.586402 | 0.002525 | 10552.84 | 33015.49 |
t | 307.5 | 427.1127458 | 0.71995 | 0.494886 | -702.461 | 1317.461 |
S1 | 697.5 | 3968.549361 | 0.175757 | 0.865461 | -8686.63 | 10081.63 |
S2 | -2265 | 2745.950771 | -0.82485 | 0.436659 | -8758.14 | 4228.142 |
S3 | -477.5 | 1617.022758 | -0.2953 | 0.776334 | -4301.15 | 3346.151 |
Demand 21,520 Period September 2018 October 201823,670 November 2018 December 2018 Period Demand 22,820 March 2018...
JANUARI FEBRUARY • MARCH . APRIL . MAY JUNE JULY AUGUST . SEPTEMBER • OCTOBER NOVEMBER MONDAY TUESDAY WEDNESDAY THURSDAY FRIDAY SATURDAY SUNDAY are coking of Tell how. you. going to mentioned Problem focused Emotion. focused coking Physio logical reactions Psychological reactions New age..
The monthly sales for Yazici batteries were as follows on January 21, February 20, March 16, April 15.May 15,June 18,July 17,August 18, September 22, October 20, November 21, December 24. forcast for the next month (Jan) using the naive method. The forecast for the next period (Jan) using the 3-month moving approach. Using smoothing with a=0.30 and a September forecast of 18.00 the forecast for the next period (Jan) sales.
690 The manager of the Petroco Service Station wants to forecast the demand for unleaded gasoline next month so that the proper number of gallons can be ordered from the distributor. The owner has accumulated the following data on demand for unleaded gasoline from sales during the past 12 months: Month Gasoline Demanded (gal.) October 800 November 725 December 630 January 500 February 645 March 730 May 810 June 1,200 980 August 1,000 September 850 e. Compute linear trend line...
The past sales history for Store 6 is provided in the table below. Adjust this data using the seasonality index determined using the initial 2 years. Report the re-seasonalized forecast period 36. Month Year Period Store 6 January 1 1 56602 February 1 2 72016 March 1 3 104245 April 1 4 100981 May 1 5 95962 June 1 6 83167 July 1 7 62842 August 1 8 60116 September 1 9 41353 October 1 10 34862 November 1 11...
The past sales history for Store 7 is provided in the table below. Adjust this data using the seasonality index determined using the initial 2 years. Report the MAD value for the re-seasonalized forecast. Month Year Period Store 7 January 1 1 54483 February 1 2 66981 March 1 3 87332 April 1 4 90292 May 1 5 82586 June 1 6 78925 July 1 7 68756 August 1 8 58782 September 1 9 32654 October 1 10 33480 November...
The past sales history for Store 7 is provided in the table below. Adjust this data using the seasonality index determined using the initial 2 years. Report the MAD value for the re-seasonalized forecast. Month Year Period Store 7 January 1 1 54483 February 1 2 66981 March 1 3 87332 April 1 4 90292 May 1 5 82586 June 1 6 78925 July 1 7 68756 August 1 8 58782 September 1 9 32654 October 1 10 33480 November 1...
Scottsdale Co. has actual sales for July and August and forecast sales for September October, November, and December as follows: $ 98,900 105,200 Actual: July August Forecast September October November December 114,200 94,300 121, 3ee 107,400 Based on past experience, it is estimated that 28% of a month's sales are collected in the month of sale, 49% are collected in the month following the sale, and 6% are collected in the second month following the sale. Required: Calculate the estimated...
Scottsdale Co. has actual sales for July and August and forecast sales for September, October, November, and December as follows: Actual: July $ 97,300 August 105,300 Forecast: September 114,800 October 94,300 November 122,900 December 106,300 Based on past experience, it is estimated that 29% of a month’s sales are collected in the month of sale, 48% are collected in the month following the sale, and 9% are collected in the second month following the sale. Required: Calculate the estimated cash...
Here are the actual tabulated demands for an item for a nine-month period (January through September). Your supervisor wants to test two forecasting methods to see which method was better over this period. MONTH ACTUAL January 110 February 130 March 150 April 170 May 160 June 180 July 140 August 130 September 140 A. Forecast April through September using a three-month moving average. B. Use simple exponential smoothing with an alpha of 0.3 to estimate April through...
Scottsdale Co. has actual sales for July and August and forecast sales for September, October, November, and December as follows: Actual: July $ 97,100 August 105,100 Forecast: September 114,200 October 94,500 November 121,900 December 107,000 Based on past experience, it is estimated that 24% of a month’s sales are collected in the month of sale, 46% are collected in the month following the sale, and 5% are collected in the second month following the sale. Required: Calculate the estimated cash...