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calculate a 3 month moving average for the following monthly sales data what is the forecast for the 7th month Month   sales forecast jan        120 feb        150 mar       130 apr         160 may       180 jun         170 july

Jan '20 0.68 Feb '20 0.76 Mar '20 1.6 Apr '20 1.47 May '20 0.98 Jun '20 1.18 Jul '20 3.59 Aug '20 3.33 Sept '20 4.31 Oct '20 3.84 Nov '20 6.97 Dec '20 7.7 Using data above please provide one qualitative and two quantitative (Simple and weighted moving average) monthly forecasts  in the United States for the holiday season in 2021

Bill's Bookstore is tracking its monthly demand for textbooks and has seen the following demand pattern. Historical forecasts are also included. MONTH FORECASTED DEMAND ACTUAL DEMAND April 150 165 May 220 210 June 215 200 July 245 250 August 205 225 Assess Bill's performance for the forecast in the table above using the Mean Absolute Deviation (MAD). Only use the data for the months of April through August to calculate the MAD.

Direction: Complete the table below to find the 60h percentile for the following se of data. Data Find the position of Find P60 P=(n+ 1)th Px100 1. 20, 22, 25, 32, 35 P60 = 20-2 20122 2. 49, 50, 55, 55, 60, 67 P60 = 3. 18, 19, 20, 22, 25,27, 29, 30, 32 P60 = Direction: Read the questions carefully. Encircle the letter of the corre

QUESTION 3 Annual Fund Returns Over the Past 10 Years Year Return (%) 4.5 6.0 1.5 -20 3 4 15 6 7 19 20 0.0 45 3.5 2.5 5.5 4.0 10 Calculate the geometric mean retur over the 10 years. Give your answer in percent, rounded to two decimal places, so in the format X.XX. Hint, the number zero is not used in the correct answer

(Ch7) If the mean time between in-flight aircraft engine shutdowns is 12,500 operating hours, what is the 90 percentile on the distribution of the number of hours until the next shutdown? (hint: convert the mean time between events to the mean events per hour λ, then apply inverse exponential) Question 7Select one: a. 20,180 hours   b. 18,724 hours c. 23,733 hours d. 28,782 hours

econometrics

Paw Patrol Inc. manufactures toys for kids from 1 to 10 years old. The summary of toy sales by month in 2017 and 2018 is as follows: Dt April May 2018 18600 Period Demand 18716 June 19235 2017 September 19400 July August 19500 October 18300 19753 November 17200 September 18320 December 14998 October 17652 2018 January February March 19800 November 16200 19555 December 15563 19800 What is the Mean Absolute Deviation (MAD), when using the weighted 4-period moving average technique? Use weights of 0.6, 0.2, 0.1, and 0.1 for the most recent period, the second most recent period, the third most recent period, and the fourth most recent period, respectively. O 5445 O 1256 O 1555 O 4450 O 1140

2. Montyboy Pet Shop ships boxed can dogfood anywhere in the country. Using the following information, forecast the shipments for the first four months. Seasonal Relative Month January February March 1.2 1.3 1.3 1.1 0.8 0.7 The monthly forecast equation being used is: Yt = 402 + 3t April May June Where: to = January last year Yt = number of shipments Month July August September October November December Seasonal Relative 0.8 0.6 0.7 1.0 1.1 1.4 Question: Determine the trend amounts for the first four months of the next year assuming January, t=24; February, t=25; etc. Note: Round answers to whole numbers.

Calculate the mean for each of the 4 quarters, stating the formula you would use for determining the mean for the first quarter’s forecasted revenue.

When you solve full question I will give Thumb up ?

Give typed explanation of both not a single word hand written otherwise leave it

. The manager of Petro North gasoline 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 manager has accumulated the sales data and forecast accuracy measures during the past 10 months, which are shown in the table below. Fill all blank spaces in the table labeled a through f. Month Feb Mar Apr May Jun Jul Aug Sep Oct Nov 3-month Simple Moving Average N/A N/A N/A 1310.00 1340.00 1443.33 1566.67 1800.00 a 1673.33 Sales (in gallons) 1130 1360 1440 b 1670 1810 1920 1630 1470 1510 MAD N/A N/A N/A 90.00 210.00 262.22 С 262.00 271.11 255.71 MAPD N/A N/A N/A 0.074 d 0.167 0.172 0.159 0.167 0.159 MSE N/A N/A N/A 8100 58500 e 94072 81038 84245 76021 CE N/A N/A N/A -90 240.00 606.67 960.00 790.00 f 310.00

Sales in a company are $188 million in 2009 and increase $208 million in 2010. Compute the percentage increase in sales using the usual formula Compare this value to the approximation The approximation performs (1) percentage change increases. 100 x (1) O better (2) O deteriorates O worst O improves 100 x 100 x (Sales 2010 - Sales 2009) Sales 2009 100 x [In (Sales2010) -In (Sales2009)] (Sales 2010 - Sales2009) Sales 2009 100 x [In (Sales 2010) -In (Sales2009)] = [ (Express your response as a percentage and round to three places) Now, assume that sales in a company are $188 million in 2009 and increase $264 million in 2010. = (Sales2010 - Sales 2009) Sales 2009 % % % 100 x [In (Sales 2010) -In (Sales 2009)] = [ (Express your response as a percentage and round to three places) % when the change is small. The quality of the approximation (2). as the

Define Forecasts and forecast errors in time series anaylsis?

If excel work required then attached screenshot

The investment multipier is 2 of the country now find the value of MPC.

calculate the missing values and show the calculation

Compute the percentage changes for the following (enter your responses as integers): Initial Value 100 50 10 New Value Percentage Change 112 54.0 12.5

1. Prepare the scatter diagram and insert the trendline or line of best-fit. Use a scaleof 2 cm to represent 1,000 units on the x-axis & 2 cm to represent $50,000 on the y-axis. 2. Using the line of best-fit, determine the company’s fixed cost per month and thevariable cost per unit. (Use 0 & 5,000 units.)

6. Given the following data set,25, 16, 18,16,20,20,24,30,20,40. What is the mean, median and mode.       22.9,20,20       20,26,21       26,20,21

Prepare the scatter diagram, clearly showing any outliers. list detailed how to prepare the diagram

Question 3 The number of tons of brake assemblies received at an auto parts distribution center last month was 625. The forecast tonnage was 650 for last month. The company uses a simple exponential smoothing model with a smoothing constant of 0.46 to develop its forecasts. What will be the company's forecast for the next month? Add your answer

ITY SCENARIO 2-5 The following are the duration in minutes of a sample of long-distance phone calls made within the continental United States reported by one long-distance carrier. Relative Time (in Minutes) O but less than 5 5 but less than 10 10 but less than 15 15 but less than 20 20 but less than 25 25 but less than 30 30 or more Referring to Scenario 2-5, if 10 calls lasted 30 minutes or more, how many calls lasted less than 5 minutes? Select one: Frequency 0.37 0.22 0.15 0.10 0.07 0.07 0.02 OA. 500 B. 10 OC. 295 D. 185

Can you explain what these two belows mean in regard of GMM and Maximum likelihood. What are we calculating and what is it used to Unconstrained optimizationConstrained optimizatio

Calculate the mean of the projected annual revenues of the 7 countries. Show full working for the mean calculation.

A buyer for an electrical component is searching for a supplier who has the best combination of low price, low order cycle time and low order cycle variability.Current uage for the component is 100 units per day. the buyer received data on four potineital suppliers (table) Based on the order cycle time, variability and unit price data provided in the table, which supplier should be awarded the component business?

Dependent Variable: Pass Experience Male Malex Experience Constant Probit Logit (1) (2) 0.031 0.040 (0.009) (0.016) 0.712 (0.126) Linear Probability (3) 0.006 (0.002) 1.059 0.774 (0.221) (0.034) Probit (4) -0.333 (0.161) 1.282 (0.124) Logit (5) -0.622 (0.303) 2.197 (0.242) Linear Probability (6) -0.071 (0.034) 0.900 (0.022) Probit (7) 0.041 (0.156) -0.074 (0.259) -0.015 (0.019) 0.806 (0.200) Problem 1. (~SW 11.2) Using the results of column (2): (a) Does the probability of passing the test depend on Experience? Explain. (b) Matthew has 10 years of driving experience. What is the probability that he will pass the test? (c) Christopher is a new driver (zero years of experience). What is the probability that he will pass the test? (d) Sketch the predicted probabilities from the probit and logit regressions in column (1) and (2) for values of Experience between 0 and 60. Are the probit and logit models similar?

Data analysis, please show all work A company makes a laser product. The product is well made, but is expensive to manufacture. As indicated, the product is well made, so 98.7% of lasers function as advertised. However, 1.3% are returned for being defective. For each laser they manufacture, the company makes $204 in profit. However, when the product is defective, it costs the company $1340 (in shipping refunds, repair, etc). How much can the company expect to make (or lose!) each time they sell a laser?

14. Suppose that the inflation rate is expected to be 3% in the near future. Using the historical data provided in this chapter, what would be your predictions for 1. The T-bill rate 2. The expected rate of return on the stocks portfolio 3. The risk premium on the stock market