Question

In: Operations Management

When will a company use a predictive decision model?

 When will a company use a predictive

 decision model?

 A. When it wishes to determine the

 best product pricing to maximize

 revenue.

 B. When it wishes to know how best to

 use advertising strategies to influence

 sales.

 C. When it wishes to know sales

 patterns to plan inventory levels.

 D. When it wishes to ensure that a

 specified level of customer service is

 achieved.

 

 Which of the following is necessary to

 calculate the variable cost of

 production for the company to develop

 a profit model?

 A. unit sale price

 B. quantity of item produced

 C. quantity of item sold

 D. fixed cost of production


Solutions

Expert Solution

Answer A: Option C: When it wishes to know the sales patterns to plan inventory levels.

Explanation: Predictive analysis is the use of data, algorithms, and machine learning techniques to predict future outcomes based on historical data. The purpose is to get an accurate assessment of what will happen in the future. Organizations use predictive analysis to solve difficult problems and to find new opportunities. Some of the common uses are as follows:

  • To detect fraud by analyzing the historical pattern and preempt and prevent criminal activity.
  • Predictive analysis also helps to optimize marketing campaigns by determining customer’s responses or purchases and it helps them to attract, retain, and grow their most profitable customers.
  • It helps to improve operations by forecasting sales, optimizing inventories, and optimizing the use of the resources based on the analysis.
  • It helps the organization to become more efficient. Predictive analysis also helps to reduce risk by assessing a buyer’s chances of defaulting for purchases. A credit score is a number generated by predictive analysis, which incorporates all details of a client's creditworthiness.

Answer B: Option B: quantity of item produced

Explanation: Variable costs are costs, which change in proportion to the production output. The variable cost will change as the quantity produced by a company increases or decreases. The variable cost is directly proportionate to the quantity of item produced therefore if production output increases variable costs will increase and if product output falls, the variable cost will decrease. Variable cost includes the sum of labor and material required to produce a unit of a product. The formula for calculating total variable cost =Total output x variable cost of each unit produced.


Related Solutions

1)Explain the uses of descriptive and predictive analysis. 2)Describe the components and use of a decision tree.
  1)Explain the uses of descriptive and predictive analysis. 2)Describe the components and use of a decision tree. 3)Identify the advantages/disadvantages of group decision making. 4)Describe the techniques used to guide and reach consensus.
Part A: You have been hired by a company to build a predictive analytics model to...
Part A: You have been hired by a company to build a predictive analytics model to increase their sales. Before building the model, your manager asked you to start with exploratory data analysis and report the findings. Which visualization tools would you use to display important properties of data such as outliers, range of data, mean, IQR, and distribution of data, etc.? Be specific about the tools and methods that display the skewness, similarity of distributions, and whether data comes...
A large number of insurance records are to be examined to develop a model for predictive...
A large number of insurance records are to be examined to develop a model for predictive fraudulent claims. One of the claims in the historical database, 1% were judged to be fraudulent. A sample is taken to develop a model, and oversampling is used to provide a balance sample in light oath very low response date. When applied to this sample (n=800), the model ends up correctly classifying 310 frauds, and 270 nonfrauds. it missed 90 frauds, and classified 130...
Explain the use of neural networking modeling in predictive analytics.
Explain the use of neural networking modeling in predictive analytics.
Compare and contrast The Classical Model of Decision Making with the Administrative Model of Decision Making
Compare and contrast The Classical Model of Decision Making with the Administrative Model of Decision Making (That is, tell how they are similar and how they are different from each other). It need to be at least a paragraph long.
1. A good predictive model is one that fits the data closely whereas a good explanatory...
1. A good predictive model is one that fits the data closely whereas a good explanatory model is one that predicts new cases accurately. A. True B. False 2. The specificity of a classifier is its ability to detect the important class members correctly and sensitivity is its ability to rule out C0 members correctly. A. True B. False 3. This method of finding the best subset of predictors relies on partial, iterative search through the space of all possible...
Question 6: Analytics Concepts What is a “model” in terms of predictive data analysis? Give an...
Question 6: Analytics Concepts What is a “model” in terms of predictive data analysis? Give an example. How will you explain the concept of hypothesis testing to a layperson? What is the difference between Mean and Median? If you could pick only one number to explain the salaries of NBA players, which one will you pick and why? “With big data we can escape the straightjacket of group identities and replace them with much more granular predictions for each individual....
1. Which of the following is the decision criteria that firms use when analyzing the internal...
1. Which of the following is the decision criteria that firms use when analyzing the internal rate of return of a particular capital budgeting project?                         A.        If the IRR is greater than zero, then the firm should accept.                         B.         If the IRR is greater than inflation, then the firm should accept.                         C.         If the IRR is greater than the firm’s cost of capital, then the firm should accept.                         D.        If the IRR is greater than the...
Why are decision trees a good model to use for regression predictions/problems for variables like price?...
Why are decision trees a good model to use for regression predictions/problems for variables like price? What are the pros and cons of using decision trees?
What are the typical characteristics of those processes most likely to benefit from Model predictive control...
What are the typical characteristics of those processes most likely to benefit from Model predictive control and What type of inverse of the dynamic matrix β is used for control action computation?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT