Fit a straight line trend to the following data on demand of steel ingots (in millions) and project the demand for the year 2009.Year2002200320042005200620072008Demand8084909398100104
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Fit a straight line trend to the following data on demand of steel ingots (in millions) and project the demand for the year 2009.Year2002200320042005200620072008Demand8084909398100104
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- The number of disk drives (in millions) made at a plant in China during the past 5 years follows: Year Disc drives 1 140 2 160 3 190 4 200 5 210 Forecast the number of disk drives to be made next year, using linear regressionA manager uses a trend equation plus quarterly relatives to predict demand. Quarter relatives are SR₁ = 0.9, SR₂ = 0.95, SR3 = 1.05, and SR₁ =1.1, The trend equation is: Fr=9+ 41. Over the past nine quarters, demand has been as follows: Period, t: Demand: Click here for the Excel Data File Compute the MAD and tracking signal for each period. (Negative values should be indicated by a minus sign. Round your intermediate calculations and final answers to 3 decimal places.) Period, t 1 2 3 4 5 6 7 1 2 3 4 5 6 7 В 9 14 18 20 22 28 30 36 42 45 89 Demand 14 18 20 22 28 30 36 42 45 MAD Tracking signalLomotan Piggery grows pigs to sell to a meat processing company. It is known for a fact that its peak season is during the first quarter of the year. Lomotan Piggery has checked the demand for pigs for the past three years which is shown below: Demand for Pigs at Lomotan Piggery: Demand (1,000s) per Quarter Year Q1 Q2 Q3 Q4 Total 2011 47 43 41 39 170 2012 48 46 38 44 176 2013 49 44 46 37 176 Total 144 133 125 120 522 What are the quarter 3 forecasts for 2014 using linear trend?
- Tucson Machinery, Incorporated, manufactures numerically controlled machines, which sell for an average price of $0.5 million each. Sales for these NCMs for the past two years were as follows: Use Exhibit 3.10. QUARTER LAST YEAR QUANTITY (UNITS) QUARTER THIS YEAR QUANTITY (UNITS) 1 12 1 16 2 18 2 24 3 26 3 28 4 16 4 18 Find a line using regression in Excel. Note: Round your answers to 3 decimal places. Find the trend and seasonal indexes. Note: Round your answers to 3 decimal places. Forecast sales for next year. Note: Round your answers to 2 decimal places.The K&R Camera shop sells all the latest cameras and accessories. To meet customer demand, the manager must forecast demand for items she sells. Lately the XR-42S zoom lens has been very popular. Recent monthly demand for this item has been as shown: Number of Lenses Month Sold 1 12 17 2 3 4 15 20 18 23 6.A manager uses a trend equation plus quarterly relatives to predict demand. Quarter relatives are SR1 = 0.9, SR2 = 0.95, SR3 = 1.05, and SR4 = 1.1. The trend equation is: Ft = 6 + 4t. Over the past nine quarters, demand has been as follows: Period, t: 1 2 3 4 5 6 7 8 9 Demand: 11 15 17 22 28 32 36 39 43 Compute the MAD and tracking signal for each period. (Negative values should be indicated by a minus sign. Round your intermediate calculations and final answers to 3 decimal places.) Period, t Demand MAD Tracking signal 1 11 2 15 3 17 4 22 5 28 6 32 7 36 8 39 9 43
- (a) Make a line chart for an m-period moving average to the exchange rate data shown below with m = 2, 3, 4, and 5 periods. For each method, state the last MA value. (Round your answers to 4 decimal places.) m-period Next period forecast 2: 3: 4: 5: Date Rate 1-Nov 1.2950 4-Nov 1.2906 5-Nov 1.2870 6-Nov 1.2872 7-Nov 1.2829 8-Nov 1.2790 12-Nov 1.2855 13-Nov 1.2840 14-Nov 1.2879 15-Nov 1.2901 18-Nov 1.2965 19-Nov 1.2926 20-Nov 1.2918 21-Nov 1.2915 22-Nov 1.2829 25-Nov 1.2885 26-Nov 1.2850 27-Nov 1.2881 29-Nov 1.2939 2-Dec 1.2936 3-Dec 1.3002 4-Dec 1.3095 5-Dec 1.3165 6-Dec 1.3127 9-Dec 1.3157 10-Dec 1.3178 11-Dec 1.3176 12-Dec 1.3133 13-Dec 1.3349 16-Dec 1.3330 17-Dec 1.3116 18-Dec 1.3078 19-Dec 1.3034 20-Dec 1.3036 23-Dec 1.2917 24-Dec 1.2955 26-Dec 1.3007 27-Dec 1.3090 30-Dec 1.3140 31-Dec 1.3269 2-Jan 1.3128 3-Jan 1.3091 6-Jan 1.3163 7-Jan 1.3127 8-Jan 1.3110 9-Jan 1.3069 10-Jan…Given the following history, use a three-quarter moving average to forecast the demand for the third quarter of this year. Note that the 1st quarter is Jan, Feb, and Mar; 2nd quarter Apr, May, Jun; 3rd quarter Jul, Aug, Sep; and 4th quarter Oct, Nov, Dec. (Round final answer to a whole number.) JUN FEB 140 150 APR 180 200 MAY 190 200 ОСТ 220 DEC 270 JUL SEP NOV 235 JAN MAR AUG 155 Last year This year 120 140 150 220 165 145 155 230 Forecast for the third quarterGiven the following history, use a three-quarter moving average to forecast the demand for the third quarter of this year. Note that the 1st quarter is Jan, Feb, and Mar; 2nd quarter Apr, May, Jun; 3rd quarter Jul, Aug, Sep; and 4th quarter Oct, Nov, Dec. (Round final answer to a whole number.) JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC Last year 165 185 200 230 240 265 210 200 195 265 290 315 This year 175 200 165 260 260 200 Forecast for the third quarter
- Given the following data on the number of pints of ice cream sold at a local ice cream store for a 3 period time fram, please forecast the demand for period 5 using a 3-month moving average. Period 1, 2,3,4 Demand 330,300,285,280Zeus Computer Chips, Incorporated used to have major contracts to produce the Centrino-type chips. The market has been declining during the past three years because of the quad-core chips, which it cannot produce, so Zeus has the unpleasant task of forecasting next year. The task is unpleasant because the firm has not been able to find replacement chips for its product lines. Here is demand over the past 12 quarters: QUARTER TWOYEARS AGO DEMAND QUARTER LASTYEAR DEMAND QUARTER THISYEAR DEMAND 1 4,800 1 3,500 1 3,200 2 3,500 2 2,700 2 2,100 3 4,300 3 3,500 3 2,700 4 3,000 4 2,400 4 1,700 Use the regression and seasonal indexes to forecast demand for the next four quarters. Note: Do not round intermediate calculations. Round your answers to 2 decimal places. Period Forecast 1 2 3 4Consider the table below which represents the number of active credit card accounts issued by a small credit union in a particular customer segment from 1994 to 2017 and a relevant forecast method. Time Credit cards A B abs sq abs% err 1994 13260 13260 60 1995 13310 13319 60 10 10 97 0.0007 1996 13383 13379 60 13379 4 4 20 0.0003 1997 13427 13438 59 13439 12 12 149 0.0009 1998 13455 13493 58 13497 42 42 1743 0.0031 1999 13520 13548 57 13551 31 31 962 0.0023 2000 13663 13611 59 13605 -58 58 3360 0.0042 2001 13717 13675 60 13670 47 47 2220 0.0034 2002 13753 13737 61 13735 -17 17 296 0.0013 2003 13792 13798 61 13798 6 6 37 0.0004 2004 13858 13858 61 13858 1 1 0.0000 2005 13915 13919 61 13919 4 4 13 0.0003 2006 13966 13978 60 13979 13 13 177 0.0010 2007 14017 14036 60 14038 21 21 450 0.0015 2008 13945 14081 55 14096 151 151 22852 0.0108 2009 14008 14123 51 14136 128 128 16382 0.0091 2010 14076 14164 48 14174 98 98 9658 0.0070 2011 14122 14204 46 14213 90 90 8128 0.0064 2012 14164 14241 43…