1. Which method would you choose to compute dissimilarity between clusters using the distance between two observations, one from each cluster,that are the most different? a. Group average linkage b. Ward's method C. single linkage d.Complete linkage 2.Cluster analysis is often used for what business purpose? a.Segmenting customers b. predicting product demand c. Forecasting revenue d.Assessing product success

Q: 4, The accompanying dataset provides the closing prices for four stocks and the stock exchange over…

A: Date A B C D Stock Exchange 9/3/2010 127.07 18.54 20.84 15.44 10,536.56 9/7/2010 124.84 18.21…

Q: e (ii) (iii) Exponential smoothing with an alpha of 0.4 (Assume Yr. 1 forecast = 805). A three-year…

A: Here, for each year, I have been given the demand data, I would use the exponential smoothing…

Q: Explain why forecasting devices such as moving averages, weighted moving averages, and exponential…

A: The average is going The prediction is increased and n is flat, but less susceptible. It provides an…

Q: A.) Compute the 3-period simple moving average forecasts. Compute the MAD and MSE for the 4-period…

A: As per Bartleby guidelines, we can only solve the first three subparts of one question at a…

Q: What category of forecasting techniques uses managerial judgment in lieu of numerical data?

A: Qualitative forecasting.

Q: The two general approaches to forecasting are: O historical and associative. O judgmental and…

A: Qualitative forecasting: This approach involves using subjective judgments, opinions, and expert…

Q: 5-37 Trevor Harty, an avid mountain biker, always wanted to start a business selling top-of-the-line…

A: Given- Sales data-

Q: Identify the major differences between qualitative and quantitative forecasting.

A: Forecasting can be defined as the technique which predicts the future information based on…

Q: Three popular measures of forecast accuracy are:a) total error, average error, and mean error.b)…

A: Forecast accuracy is important because it ensures the reliability and validity of data. Forecasting…

Q: Which of the following concepts explain why we tend to make errors in affective forecasting?

A: Affective forecasting refers to our ability to predict how we will feel in the future based on…

Q: Forecasting time horizons include:a) long range. b) medium range.c) short range. d) all of the…

A: Forecasting is that of the method by that managers make estimates about future events. It's…

Q: 2) Develop forecasts for FY2023 using the two forecasting methods currently employed by Throx. a)…

A: Weighted Moving Average: Here different weights can be assigned to different periods and then a…

Q: A) What makes a forecast optimal?

A: A) Practically all administrative choices depend on Forecasting. Each choice becomes functional…

Q: A pizza chain wants to forecast the demand rate for each store for each hour in the day.What type of…

A: Forecasting is the tool or technique which uses the historical data as the inputs to make the…

Q: You have a data set that includes time period and past sales data, and you want to use a time series…

A: Ans// D) Weighted moving average   Time series forecasting makes the prediction about the future by…

Q: Assume that the data in columns A and B report the new constructions of residential homes, per…

A: Answer a Graph of the data is as under Answer b Draw a trendline in the graph of answer part a-…

Q: what are the differences between the following models? 1) Moving average models 2) Simple…

A: As per guidelines, we would provide only three sub-parts at a time. Please provide each question at…

Q: Entity Relationship diagram

A: attributes for tables Student_contactData Student_ID Name Address Age Gender Phone Number…