CP2

q10-  What is the best description of Granger-causality? Select one: a.   the ability of lags of one variable to contribute to the forecast of another variable   b. the ability of a variable to predict its own future c. the ability of the one variable to explain it own past d. None of the above Clear my choice

Q1: Income at the architectural firm Spraggins and Yunes for the period February to July was as follows: Month February March April May June July 72.8 Income (in $ 70.0 thousand) 68.5 64.5 71.7 71.3 Use trend-adjusted exponential smoothing to forecast the firm's August income. Assume that the initial forecast average for February is $65,000 and the initial trend adjustment is 0. The smoothing constants selected are a = .1 and B =.2.

second answer for part C

1. May I know the correct option?

Q3. Find forecasted value for 2017 using a = 0.5 and a = 0.7 using exponential smoothing method. Which a is better (10 Years Sales Forecasted sale 2012 25 2013 17 2014 2015 30 2016 27 2017 21

Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.

Q1. Read the case below. 1) Identify and list the variables. 2) Develop a theoretical frame work and show by a figure. 3) State hypotheses involved in this model. Incidence of smoking in movies has started to increase again, after having declined for several decades. According to the National Cancer Institute, smoking is seen in at least three out of four contemporary box-office hits. What’s more, identifiable cigarette brands appeared in about one-third of all movies in 2008. Exposure to smoking in movies is an important predictor of adolescent smoking initiation: smoking in movies has been shown to affect adolescents’ intentions to start smoking. In turn, the intentions to start smoking are determined by a more positive attitude toward smoking after seeing a film character smoke. Recent research has revealed that the relationship between seeing a film character smoke and the attitude toward smoking is stronger when a person’s identification with a film character increases. These…

Apple Corporation is planning to produce their new product called the next generation low cost iPhone the said product will compete the product lines of Samsung, the management is hoping that it will further increase their revenue starting 2nd Quarter of 2018. Below is the historical data of actual sales and forecast of iPhone last 2017: Forecast Sales in Million Actual sales in Million Month Units Units Jan 51 55.3 Feb 52 54.1 Mar 53 62.3 Apr 55 61.1 May 57 58.6 June 60 59.2 July 62 67.3 Aug 65 70.2 Sep 68 75.1 Oct 69 79.2 Nov 70 80.1 Dec 75 81.2 Solve the following questions: According to operations manager the bottleneck process is tester with weekly capacity of 120,500 units and it has machine inventory of 85 testers, how many additional testers are needed to support the startup of the new product? Per feedback from accounting department the fixed cost for investing the new product is 4,500,000andvariablecostof0.75 per unit and selling price of $5 per unit, how much quantity is…

Apple Corporation is planning to produce their new product called the next generation low cost iPhone the said product will compete the product lines of Samsung, the management is hoping that it will further increase their revenue starting 2nd Quarter of 2021 Below is the historical data of actual sales and forecast of iPhone last 2020: Forecast Sales in Million Actual sales in Million Month Units Units Jan 51 55.3 Feb 52 54.1 Mar 53 62.3 Apr 55 61.1 May 57 58.6 June 60 59.2 July 62 67.3 Aug 65 70.2

Q2 (a) Understanding the inherent strengths and weaknesses of each forecasting method is important for technology managers to ensure technological development and innovation can be conducted successfully. Compare the strengths and weaknesses of TWO (2) technology forecasting methods.

45 A forecasting method has produced the following over the past five months. What is the mean absolute deviation?   Actual Forecast Error |Error| 10 11 -1 1 8 10 -2 2 10 8  2 2 6 6  0 0 9 8  1 1   Select one: a. -0.2 b. 1.2 c. 8.6 d. -1.0 e. 0.0

STAT 382 (page 3 of 10)-Google Chrome arn.squ.edu.om/mod/quiz/attempt.php?attempt D17403728icmid 8666708page-2 E-LEARNING SYSTEM (ACADEMIC) me Series forecasting for Business || Spring21 Time left 0:30:09 stion The predicted monthly sales for a company over the first six months of 2010 are 360, 385, 275, 300, 312, and 307. Find the standard deviation. put of O A. 33.74 O B. 41.04 O C. 40.72 O D. 41.72 IOUS PAGE NEXT PAGE

I just need the first 3 please  (:

1:46 口 Forecasting Assignment 1. The department manager using a combination of methods has forecast sales of toasters at a local department store. Calculate the MAD for the manager's forecast. Compare the manager's forecast against a naive forecast. Which is better? Manager's Forecast Month Unit Sales January February 52 61 March 73 April Мay 79 66 June 51 July August September 47 50 44 55 30 52 October 55 42 November 74 60 December 125 75 2. The last four weekly values of sales were 80, 100, 105, and 90 units. The last four forecasts (for the same four weeks) were 60, 80, 95, and 75 units. Calculate MAD, MSE, and MAPE for these four weeks. Sales Forecast Error Error squared Pct. error 80 60 20 400 .25 100 80 20 400 .20 105 95 10 100 .095 90 75 15 225 .167 AA A online.saskpolytech.ca

Required: Using 2-months moving average forecast sales from 5 to 11 months Using 4-months weighted moving average forecast sales from 4 to 12 months, use 3,2,1 weights with the heaviest weight applied to the most recent months. Forecast sales for January-2018 under above two method Forecast sales for January-2018 under exponential smoothing approach

I just need the last two please (:

Scenario:  Achievement test scores in science were recorded for 9 students.  A researcher must judge if there is sufficient evidence for the population median being different than 77 using a = 0.05. What research analysis is appropriate here?   1. Wilcoxon 2. Mood's Median 3. Mann-Whitney 4, Kruskal-Wallis 5. None of the above

Question 3 An organization uses a business intelligence system to predict products that tend to be purchased together. This is an example of. O A) Regression Analysis B) Cluster Analysis C) REM Analysis D) Market Basket Analysis

3

3- What are the different Forecasting Approaches? Explain each in detail

q 1  An analyst must decide between two different forecasting techniques for weekly sales of roller blades. Based on the following data, answer the below questions.   time Units sold 1 147 2 148 3 151 4 145 5 155 6 152 7 155 8 157 9 160 10 165 What's the MAD if the exponential smoothing technique with alpha 0.4 is used?

q1- Daily highs in Sacramento for the past week (from least to most recent) were: 95, 102, 101, 96, 95, 90 and 92. Develop a forecast for today using a weighted moving average, with weights of .6, .3 and .1, where the highest weights are applied to the most recent dataq2- Consider the following demand and forecast. Period Demand Forecast 1 7 10 2 12 15 3 18 20 4 22 If MAD = 2, what is the forecast for period 4? Answer 21 22 23 none of the aboveq3- A normal distribution has a mean of 500 and a standard deviation of 50. A manager wants to simulate one value from this distribution, and has drawn the number 1.4 randomly. What is the simulated value?Q4- The local operations manager for the IRS must decide whether to hire 1, 2, or 3 temporary workers. He estimates that net revenues will vary with how well taxpayers comply with the new tax code. The following payoff table is given in thousands of dollars (e.g. 50 = $50,000). If he thinks the chances of low, medium, and high compliance are…

Q1. What are the elements of good forecasting?    Note: Write only the questions:

Triple Bottom Line stands for O a. Social, Cultural and Environmental criteria O b. Social, Economic, and National criteria O c. Social, Environmental and Economic criteria O d. Social, Economic, and Cultural criteria GE

A manager has just received an evaluation from an analyst on two potential forecasting alternatives.The analyst is indifferent between the two alternatives, saying that they should be equally effective.Period 1 2 3 4 5 6 7 8 9 10Data 37 39 37 39 45 49 47 49 51 54Alt. 1 36 38 40 42 46 46 46 48 52 55Alt. 2 36 37 38 38 41 52 47 48 52 53a. What would cause the analyst to reach this conclusion?b. What information can you add to enhance the analysis?

Company: Accor Hotel Focus on industry-level data from Europe and UK Analysis Competitive forces in the Accor hotel industry (e.g. barriers to entry; intensity of rivalry between incumbents; threat of substitution…) Drivers of change in theAccor hotel  The impact of external factors on the Accor hotel Conclusion

Kindly answer question a & b

part b