MGMTW3IP

I just need the first 3 please  (:

1

Describe and explain what CVP analysis is. Provide examples of how managers may use this tool for sensitivity analysis.

Identify the categories of variables used by Mattel to segment the market for Max Steel action figures. Can you suggest additional variables that Mattel might use in this market?

Hide Assignment Information Instructions   Exercise #5 For this week exercise, we need to try a few logit models (see this link for more information: LOGIT REGRESSION) If you have chosen to work with Excel, please run above three models and complete the following tables. Model 1: Run a regression model and use being a member of network and find out its impact on hospital cost? (Model 1) Model 2: For the 2nd model run a regression model and use being a member of network and find out its impact on hospital cost and hospital revenue? (Model 2) Model 3: For the 3rd model run a regression model and use being a member of network and find out its impact on ratio-Medicare-discharge and ratio-Medicaid-discharge. Based on your finding please recommend 3 policies and discuss the impact of being on a network on hospital cost, hospital revenue and out its impact on ratio-Medicare-discharge and ratio-Medicaid-discharge. Do you recommend keeping membership for a hospital? Why or why not?

ABC is an online-to-offline platform that sells e-commerce products to offline customers through a network of agents. ABC gives a commission to agents for each sale made. ABC has 4 main product categories: electronics, fashion, supermarket, and others. Please refer to the exhibits for data sets pertaining to the questions below. Today is May 16th.   Q : 1. Today is May 16th. We have got the interim result of the sales figures in the first half of May. Typically, the first half of the month constitutes of 40% of sales. Using this assumption, will we reach our May target? What % over the target will we over/under-deliver?answer :  over/deliver by ... % of target Using that assumption, which category (or categories) will not reach the targeted sales figures in May?answer : ............

I just need the last two please (:

Help! I got it wrong again.

The table below shows the sales figures for a brand of shoe over the last 12 months.   Months Sales January 69 February 75 March 86 April 92 May 95 June 100 July 108 August 115 September 125 October 131 November 140 December 150 Using the following, forecast the sales for the months up to January the following year:- 1. A simple three-month moving average. 2. A three-period weighted moving average using weights of 1, 2, and 3. Assign the highest weight to the most recent data.                    3. Exponential Smoothing when α= .6 and the forecast for March is 350. 4. Determine which of the three forecasting techniques is the most accurate using MAD.

What are the advantages and disadvantages of aggregating demand from a forecasting view? Are there other things that should be considered when going from multiple DCs to a DC?

Lenovo uses the ZX-81 chip in some of its laptopcomputers. The prices for the chip during the past 12 monthswere as follows:   a) Use a 2-month moving average on all the data and plot theaverages and the prices.b) Use a 3-month moving average and add the 3-month plot tothe graph created in part (a).c) Which is better (using the mean absolute deviation): the2-month average or the 3-month average?d) Compute the forecasts for each month using exponentialsmoothing, with an initial forecast for January of $1.80. Use a= .1, then a = .3, and finally a = .5. Using MAD, which ais the best?

What kind of prediction model will be more suitable for an enterprise that introduced a new product?

In the table below ratings data on x = the quality of the speed of execution and y = overall satisfaction with electronic trades provided the estimated regression equation ŷ = 0.3402 +0.8922x. Brokerage Speed Satisfaction Scottrade, Inc. 3.5 3.4 Charles Schwab 3.0 3.1 Fidelity Brokerage Services 3.3 3.2 TD Ameritrade 3.6 3.5 E*Trade Financial 3.4 3.7 Vanguard Brokerage Services 3.8 3.6 USAA Brokerage Services 3.3 2.9 Thinkorswim 3.1 3.6 Wells Fargo Investments 2.4 2.4 Interactive Brokers 2.6 2.2 Zecco.com 2.7 3.1 At the 0.05 level of significance, test whether speed of execution and overall satisfaction are related. Show the ANOVA table. What is your conclusion? Source Sum of Squares Degrees Mean Square F (to 2 decimals) of Variation (to 4 decimals) of Freedom (to 4 decimals) Regression Error Total P-value is - Select your answer - We Select your answer - V reject Ho : B1 = 0, we conclude that speed of execution and overall satisfaction Select your answer - V related.

Answer the following questions. 1. What is the current economic climate? 2. What should be our forecast accuracy target if there is a high degree of volatility in customer orders and long lead times? 3. We have a new chief sales officer who is proposing that we should forecast in dollars, not in units/cases. I have never heard of anyone forecasting in dollars. It is true that dollarized forecasts can help Sales in knowing precisely what sales target they should be hitting. But, is it the best practice?

Corporate triple-A bond interest rates for 12 consecutive months follow. 9.6 9.4 9.5 9.7 9.9 9.8 9.8 10.6 10.0 9.8 9.6 9.6   (b) Develop three-month and four-month moving averages for this time series. (Round your answers to two decimal places.)   Month Time SeriesValue 3-Month MovingAverage Forecast 4-Month MovingAverage Forecast 1 9.6     2 9.4     3 9.5     4 9.7     5 9.9     6 9.8     7 9.8     8 10.6     9 10.0     10 9.8     11 9.6     12 9.6       (c) Using the more accurate forecast, what is the moving average forecast for the next month? (Round your answer to two decimal places.)

Develop a clear research objective for the business problem described in the extract. (+-400 words)

1. The table below shows the sales figure for a brand of shoe over the last 12 months. MONTHS SALES January 69 February 75 March 86 April 92 May 95 June 100 July 108 August 115 September 125 October 131 November 140 December 150 Using the following, forecast the sales for the months up to January the following year:- 1. A simple three month moving average.ii.  A three period weighted moving average using weights of 1, 2 and 3. Assign the    highest weight to the most recent data.iii. Exponential Smoothing when a= .6 and the forecast for March is 350.

I posted this question and it's been 18 hours that it still hasn't been answered. I only need the last two questions please (:

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.

My App is a small but growing start-up that sees demand for several of its apps increasing quickly. The table below shows the last six months of downloads. Use a forecast for the first month of 220,000, an initial trend forecast of 35,000, and smoothing parameters of 015 for both demand smoothing and trend smoothing Month (t) Monthly Application Downloads Forecast for Next Month Trend 220,000.00 35,000.00 200,000 2 250, 100 334,000 380,000 440,000 500,000 (Round your answers to 2 decimal places.) Complete the table above, filling in the "Forecast for next month" and "Trend" columns, using double a. exponential smoothing (Round your answers to 2 decimal places.) Month 7's forecast is b.

Sales of a particular product (in the thousands of dollars) for the year of 2015 through 2018 have been $48,000, $64,000, $67,000 and $83,000 respectively.  (a) What sales would you predict for 2019, using a simple four year moving average?   (b) What sales would you predict for 2019, using a weighted moving average with weights of 0.50 for the immediate preceding year 0.3, 0.15, and 0.05 for the three years before that?

Below is a table containing data on product demand for the most recent five months along with the forecasts that had been made for those 5 previous months. Use the 3-period weighted moving average method to forecast the number of sales to expect next month.  Use the following weights:  0.4 for the most recent, 0.3 for the 2nd most recent, and 0.3 for the 3rd most recent. Month Demand Forecast 1 308 337 2 388 341.4 3 344 368 4 400 342.8 5 341 378.4

Problem #2 A & B please Problem #3 A please

Quantitative Methods II - Question 3 Please assist with i, ii & iii

Q4B. What potential limitations or weaknesses are associated with using the Box –Jenkins Methodology for time series modelling?Q4C. Explain how the residuals of an ARMA model can be used to diagnose potentialmodel mis-specification issues? If any, how can these misspecification issues, beaddressed?

This a 4 part question that am confused about. Please show the work by hand not excel.  4-1 Sales of a particular product (in the thousands of dollars) for the years 2015 through 2018 have been $48,000, $64,000, $67,000 and $83,000 respectively. (a)What sales would you predict for 2019, using simple four-year moving avaerage? (b) What sales would you predict for 2019, using a weighted moving average with weights of 0.50 for the immediate preceding year and 0.3, 0.15, and 0.05 for the three years before that? (I am able to calculate and know the answer for (a) $65,000 and (b) $73,000.     What I don't understand is the following :    4-2 Using exponential smoothing with a weight of 0.6 on actual values: (a) If sales are $45,000 and $50,000 for 2017 and 2018, what would you forecast for 2019 ? (The first forecast is equal to the value of the preceding year.)  (b) Given this forecast and actual 2019 sales of $53,000, what would you then forecast for 2020?   4-3 In Problem 4-1, taking…

I just need the last one please (:

Below is a table containing data on product demand for the most recent five months along with the forecasts that had been made for those 5 previous months. Use the 3-period simple moving average method to forecast the number of sales to expect next month. Month Demand Forecast 1 308 341 2 388 343.3 3 344 364.7 4 400 346.7 5 341 377.3

A Use a simple moving average model. Experiment with the models using five weeks and three weeks past data. 3 week MA Week ATL BOS CHI DAL LA TOTAL 1 2 3 4 5 6 7 8 9 10 11 12 13 5 week MA Week ATL BOS CHI DAL LA TOTAL 1 2 3 4 5 6 7 8 9 10 11 12 13 B evaluate the forecast that would have been made over the 13 weeks using overall mean absolutely deviation, mean absolute percent error, and tracking signal as criteria.

The purpose of the Maricopa Association of Governments (MAG) is to achieve which of the following?   It is a charter government association for the county.   It is an organization that receives state funds for county projects.   It is a group that meets to collaborate on project ideas.   It is the largest Council of Government (COG) in Arizona and is a regional planning agency for funds received from the federal government.

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