NETWORK MODELING
REGRESSION ANALYSIS
TIME SERIES FORECASTING
DECISION ANALYSIS
FLASH CARDS
100

Name 2 business problems that can be used to model network flow problems?

What is transshipment problems, shortest path problems, maximal flow problems, transportation/assignment problems, or generalized network flow models.

100

What kind of technique is regression analysis?

What is statistical.

100

What does time series methods for stationary data mean?

What is without a strong upward or downward trend.

100

What two reasons does it state as the purpose of making decision analysis a hard task.

hint:Chapter 14 power points

What is 

Uncertainty regarding the future

Conflicting values or objectives


100

circles used in graphs of network flow problems to represent various entities

What is NODES

200

What is in the Linear Programming network flow problem that can be easily be implemented and solved in a spreadsheet?

What are constraints.

200

What provides a way to determine the best values for the parameters in a regression model for a given sample of data?

What is method of least squares.

200

What does time series methods for nonstationary data mean?

What is a strong upward or downward linear or nonlinear trend.

200

What does using sample information in decision making allow you to do with the outcomes?

hint:Chapter 14 power points

What is refine probability estimates associated with various outcomes.

and or

What is obtain information about the possible outcomes of decisions before the decisions are made.


200

a network flow problem with the objective of meeting demand in the network at a minimum cost

What is minimum cost network flow problems

300

How are network flow problems displayed?

What is graphical.

300

True or false can regression functions assume a variety of forms?

What is true.

300

What is the most useful way to model and compare time series data?

What is to try several techniques and then compare them based on measures of forecast accuracy, including a graphical inspection of how well the model fits the historical data.

300

True or False:

A structured approach to decision making can not help us make good decisions, but can guarantee good outcomes.


What is false.

A structured approach to decision making can help us make good decisions, but can’t guarantee good outcomes.


300

the difference between the actual values of a dependent variable and the estimated or predicted values produced by an estimated regression model

What is residuals

400

What are lines used for and what does it connect to in a network flow model?

What is Lines are used as arc’s that connect the nodes.

400
  • What does f and E represent in the following regression function?
  • Y = f(X1, X2, X3,…, Xn) + E

What is f( ) describes systematic variation in the relationship.

What is E the unsystematic variation (or random error) in the relationship.

400

What kind of observations are used in time-series?

hint:-Source:Chapter 11 Introduction to Time Series Analysis

What is quantitative variable.

-Source:Chapter 11 Reading(Quantitative Variable. Variables that have are measured on a numeric or quantitative scale.

Ordinal, interval and ratio scales are quantitative. A country's population, a person's shoe size, or a car's speed are all q uan titative variables. Variables

that are not quantitative are known as qualitative variables.)

400

Name two characteristics of decision problems?

hint: chapter 14 powerpoints

What is 

Alternatives - different courses of action intended to solve a problem.

Criteria - factors that are important to the decision maker and influenced by the alternatives.

States of Nature - future events not under the decision makers control.


400

a measure of the scatter (standard deviation) of the actual values of the dependent variable around the estimated regression function

What is standard error

500

What are supply nodes called?

What is sending nodes?

500
  • What is the goal of regression analysis?

What is to identify a function that describes, as closely as possible, the relationship between these variables so that we can predict what value the dependent variable will assume given specific values for the independent variables.

or

What is identify a function of the independent variables that adequately accounts for the behavior of the dependent variable.

500

What is analyzed in time series analysis?

What is past behavior of a variable in order to predict its future behavior.

500

What is the Maximin Decision Rule?

hint:chapter 14 power points

What is 

Identify the minimum payoff for each alternative.

Choose the alternative with the largest minimum payoff.



500

A table summarizing the final outcome for each decision alternative under each possible state of nature

What is payoff matrix

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