from the graph we can see that
numerical value for each month
Month | average monthly rainfall of Seattle | average monthly rainfall of Chicago | Difference |
Jan | 5.5 | 2 | 3.5 |
Feb | 3.5 | 1.9 | 1.6 |
Mar | 3.7 | 2.7 | 1 |
Apr | 2.6 | 3.6 | 1 |
May | 1.9 | 4.1 | 2.2 |
Jun | 1.5 | 4 | 2.5 |
Jul | 0.6 | 4 | 3.4 |
Aug | 0.8 | 4 | 3.2 |
Sep | 1.5 | 3.4 | 1.9 |
Oct | 3.5 | 3.4 | 0.1 |
Nov | 6.5 | 3.5 | 3 |
Dec | 5.4 | 2.5 | 2.9 |
21. from the above table we can see that the largest difference between these two cities is in the month of January. approximately this difference is 3.5 inches.
22.
highest amount of rainfall for seattle is 5.5 inches. and this occurred in the month of January.
23.
difference between the amount of rainfall between the two cities for the month of January is 3.5 inches.
Average Monthly Rainfall of Two Cities 7 6 Seattle Chicago 5 Seattie Rainfall (Inches) 3 2...
Moving average (MA) Calculate the sales using 2, 3, 4, 5, and 6 month moving average values. Forecast and plot the upcoming period’s sales using the moving average series that fits best. Explain why you chose that particular MA. Why is it inadvisable to use the Moving Average approach to forecast far into the future? Month Sale Month Sale Month Sale Oct-12 13.30 Oct-13 24.01 Oct-14 50.56 Nov-12 1.70 Nov-13 32.67 Nov-14 60.06 Dec-12 11.44 Dec-13 23.19 Dec-14 61.73 Jan-13...
- Calculate the average and total parts produced in the first six months of the year, when button Analysis is pressed, and then display the results in new control to be added Visual Basic code m Jan to LDec. Original Data Months Parts , as Jan 355 Feb 840 Mar 906 at is Apr 498 May 222 Jun750 Jul672 Aug 888 Sept 1234 theOct 1066 Nov 567 Dec 789 when a button Analysis
The monthly sales for Yazici Batteries, Inc., were as follows: Month Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov DecSales 19 21 17 14 11 18 16 19 20 20 23 23b) The forecast for the next month (Jan) using the naive method (round your response to a whole number)The forecast for the next period (Jan) using a 3-month moving average approach =(round your response to two decimal places)The forecast for the next period (Jan) using a 6-month weighted average with weights ofandwhere the heaviest weights are applied to the most recent month = (round your response to one decimalplace)Using...
The monthly sales for Yazici Batteries, Inc., were as follows:MonthJanFebMarAprMayJunJulAugSeptOctNovDecSales202115121518151922212124This exercise contains only parts b and c. b) The forecast for the next month (Jan) using the naive method = _______ sales (round your response to a whole number) The forecast for the next period (Jan) using a 3-month moving average approach = _______ sales (round your response to two decimal places) The forecast for the next period (Jan) using a 6-month weighted average with weights of 0.10, 0.10, 0.10, 0.20,0.20, and 0.30,...
The monthly sales for Yazici Batteries, Inc. were as follows: Month Jan 20 Feb 21 Mar 16 Apr May 15 13 Jun 18 Jul 15 Aug Sept Oct Nov Dec 18 19 22 202 This exercise contains only parts de b) The forecast for the next month (Jan) using the naive method = 24 sales (round your response to a whole number) The forecast for the next period (Jan) using a 3-month moving average approach = 22 sales (round your...
The monthly sales for Yazici Batteries, Inc., were as follows: Jan Month Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec 24 Sales 19 23 16 15 13 15 17 18 22 21 23 This exercise contains only parts b and c. b) The forecast for the next month (Jan) using the naive method 24 sales (round your response to a whole number) The forecast for the next period (Jan) using a 3-month moving average approach 22.67sales (round...
Armer Company is accumulating data to use in preparing its annual profit plan for the coming year. The cost behavior pattern of the maintenance costs must be determined. The accounting staff has suggested the use of linear regression to derive an equation for maintenance hours and costs. Data regarding the maintenance hours and costs for the last year and the results of the regression analysis follow: Maintenance Machine Month Cost Hours $ 4,350 3,150 3,750 2,970 4,500 3,110 3,180 4,620...
Give 3 forecasts for January 2007. Be sure to label the units. Naïve forecast: _______________ MA(2): _______________ MA(4): _______________ Gasoline Price Example: Data are given on the 2006 monthly prices of Gasoline($/gallon). Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Gasoline 2.359 2.354 2.444 2.801 2.993 2.963 3.046 3.033 2.637 2.319 2.287 2.380 MA
$75 $15 1 $20 Materials = Holding costs = Marginal cost of backorder = Hiring and training cost = Layoff costs = Straight time labor cost/hr. $250 $300 Beginning Workers Beginning inventory = Productive hours/worker/day = Paid straight hrs/day = Working days per month = Units per worker per month El ng Inventory goal (December) 110 2200 7.25 8 20 100 1000 $18 Question 8 1 pts Given the following production plan, use a level production strategy to compute the...
Instructions Part 1: Show the data as a monthly line graph using each year as a different line. Find the mean, median, and mode of each year, and all three years combined, and explain any differences in the statistics. The data below shows the rainfall in mm in Ras Al Khaimah for 2017, 2018 and 2019 according to World Weather Online Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2017 3.35 0.27 1.25 0 0...