Question 1

Why is the issue of outliers important in simple regression?

Accepted Answer

An outlier on the independent variable dimension can have a profound impact on the regression line fit to the data,altering both the slope of the line and its y-intercept.In contrast,an outlier on the dependent variable dimension primarily shifts the y-intercept of the regression line in the direction of the outlier but generally has little impact on the slope of the line.

Question 2

What is the coefficient of determination.

Accepted Answer

The proportion of variation in the dependent variable that is explained by the independent variable.

Question 3

Which of the following is true regarding seasonal indices?

Accepted Answer

A) They are always less than or equal to one 
B) About half of them will be negative 
C) They sum to the number of periods 
D) They sum to one 
E) None of the above are true 
A) They are always less than or equal to one 
B) About half of them will be negative 
C) They sum to the number of periods 
D) They sum to one 
E) None of the above are true C

Question 4

How does the Delphi method work?

Accepted Answer

The method begins by having each member

Question 5

Adaptive forecasting models self-adjust by increasing or decreasing the smoothing constant alpha when the tracking signal becomes too large.

Accepted Answer

A) True 
 B)False

Question 6

What is a time series?

Accepted Answer

A time series is simply a set

Question 7

Which of the following is not a time series analysis quantitative forecasting method?

Accepted Answer

A) Multiple regression 
B) Simple regression 
C) Exponential smoothing 
D) Moving average 
E) All of them are time series analysis quantitative forecasting methods 
A) Multiple regression 
B) Simple regression 
C) Exponential smoothing 
D) Moving average 
E) All of them are time series analysis quantitative forecasting methods

Question 8

Briefly describe the two pure aggregate planning strategies.

Accepted Answer

One,level production.With a level produc

Question 9

What is the cyclical component of a time series?

Accepted Answer

A cycle can be defined as a lo

Question 10

Time series analysis involves two inherent difficulties.Discuss these.

Accepted Answer

The first problem is producing as good a

Question 11

Provide an example of a time series.

Accepted Answer

"Answers will vary.One possibl

Question 12

In aggregate planning,level production yields the best utilization of the workforce.

Accepted Answer

A) True 
 B)False

Question 13

Many organizations have recently turned their attention to their supply chains as the next frontier for gaining competitive advantage.

Accepted Answer

A) True 
 B)False

Question 14

Discuss the two difficulties commonly found with Time series and how to correct it.

Accepted Answer

One difficulty is how to produce as good

Question 15

When does it make sense to use a qualitative forecasting method over a quantitative method?

Accepted Answer

In general,qualitative forecasting metho

Question 16

A time series is simply a set of values of some variable measured either at regular points in time or over sequential intervals of time.

Accepted Answer

A) True 
 B)False

Question 17

The trend line is the long-run direction of the data and does not include any seasonal variation.

Accepted Answer

A) True 
 B)False

Question 18

In exponential smoothing,larger values of alpha of are used in situations in which the data exhibit high variability.

Accepted Answer

A) True 
 B)False

Question 19

Which of the following is not a common pitfall of using regression to forecast?

Accepted Answer

A) Making predictions outside the range of data used to develop the model 
B) Overly generalizing a regression model 
C) Assuming a cause-and-effect relationship based on the model 
D) Using a model with a negative slope coefficient 
E) All of the above are common pitfalls 
A) Making predictions outside the range of data used to develop the model 
B) Overly generalizing a regression model 
C) Assuming a cause-and-effect relationship based on the model 
D) Using a model with a negative slope coefficient 
E) All of the above are common pitfalls

Question 20

Describe how exponential smoothing weights prior periods of demand.

Accepted Answer

The data point for t-1 receives a weight

Why is the issue of outliers important in simple regression?

What is the coefficient of determination.

Which of the following is true regarding seasonal indices?

How does the Delphi method work?

Adaptive forecasting models self-adjust by increasing or decreasing the smoothing constant alpha when the tracking signal becomes too large.

What is a time series?

Which of the following is not a time series analysis quantitative forecasting method?

Briefly describe the two pure aggregate planning strategies.

What is the cyclical component of a time series?

Time series analysis involves two inherent difficulties.Discuss these.

Provide an example of a time series.

In aggregate planning,level production yields the best utilization of the workforce.

Many organizations have recently turned their attention to their supply chains as the next frontier for gaining competitive advantage.

Discuss the two difficulties commonly found with Time series and how to correct it.

When does it make sense to use a qualitative forecasting method over a quantitative method?

A time series is simply a set of values of some variable measured either at regular points in time or over sequential intervals of time.

The trend line is the long-run direction of the data and does not include any seasonal variation.

In exponential smoothing,larger values of alpha of are used in situations in which the data exhibit high variability.

Which of the following is not a common pitfall of using regression to forecast?

Describe how exponential smoothing weights prior periods of demand.

Operations and Supply Chain Strategy for Competitiveness

Executing Strategy: Project Management

Process Planning

Capacity and Scheduling

Supply Chain Management

the Economic Order Quantity Model

Monitoring and Controlling the Processes

Process Improvement: Six Sigma

Process Improvement: Lean

Filters

Exam 5: Supply Chain Planning and Analytics

Why is the issue of outliers important in simple regression?

What is the coefficient of determination.

Which of the following is true regarding seasonal indices?

How does the Delphi method work?

Adaptive forecasting models self-adjust by increasing or decreasing the smoothing constant alpha when the tracking signal becomes too large.

What is a time series?

Which of the following is not a time series analysis quantitative forecasting method?

Briefly describe the two pure aggregate planning strategies.

What is the cyclical component of a time series?

Time series analysis involves two inherent difficulties.Discuss these.

Provide an example of a time series.

In aggregate planning,level production yields the best utilization of the workforce.

Many organizations have recently turned their attention to their supply chains as the next frontier for gaining competitive advantage.

Discuss the two difficulties commonly found with Time series and how to correct it.

When does it make sense to use a qualitative forecasting method over a quantitative method?

A time series is simply a set of values of some variable measured either at regular points in time or over sequential intervals of time.

The trend line is the long-run direction of the data and does not include any seasonal variation.

In exponential smoothing,larger values of alpha of are used in situations in which the data exhibit high variability.

Which of the following is not a common pitfall of using regression to forecast?

Describe how exponential smoothing weights prior periods of demand.

Operations and Supply Chain Strategy for Competitiveness

Executing Strategy: Project Management

Process Planning

Capacity and Scheduling

Supply Chain Management

the Economic Order Quantity Model

Monitoring and Controlling the Processes

Process Improvement: Six Sigma

Process Improvement: Lean

Filters