Bus 660 topic 2 Study guides, Class notes & Summaries

Problem 6-09: With the gasoline time series data from the given table, show the exponential smoothing forecasts using a = 0.1. a. Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of a = 0.1 or a = 0.2 for the gasoline sales time series? Do not round your interim computations and round your final answers to three decimal places. b. Are the results the same if you app y MAE as the measure of accuracy? Do not round your interim computations and round your fina...

BUS 660Topic 2 DQ 1 & DQ 2 DQ 1: Discuss the strategic importance of forecasting at your organization (or in one with which you are familiar). Provide two examples of ways that forecasting could improve organizational processes or strategic decisions. Support your rationale with evidence from the readings or external research. DQ 2: Explain how error measures can help to optimize moving averages, weighted moving averages, and exponential smoothing methods.

BUS 660 Topic 2 Time Series Analysis and Forecasting - Homework

DQ 1: Discuss the strategic importance of forecasting at your organization (or in one with which you are familiar). Provide two examples of ways that forecasting could improve organizational processes or strategic decisions. Support your rationale with evidence from the readings or external research.

Problem 6-09: With the gasoline time series data from the given table, show the exponential smoothing forecasts using a = 0.1. a. Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of a = 0.1 or a = 0.2 for the gasoline sales time series? Do not round your interim computations and round your final answers to three decimal places. b. Are the results the same if you app y MAE as the measure of accuracy? Do not round your interim computations and round your fina...

DQ 2: Explain how error measures can help to optimize moving averages, weighted moving averages, and exponential smoothing methods.

DQ 2: Explain how error measures can help to optimize moving averages, weighted moving averages, and exponential smoothing methods.

Problem 6-09: With the gasoline time series data from the given table, show the exponential smoothing forecasts using a = 0.1. a. Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of a = 0.1 or a = 0.2 for the gasoline sales time series? Do not round your interim computations and round your final answers to three decimal places. b. Are the results the same if you app y MAE as the measure of accuracy? Do not round your interim computations and round your fina...

BUS-660: Topic 1 DQ 2 DQ 2: Create a decision tree for the scenario you outlined in Topic 1 DQ 1. Attach the decision tree to your response and include insights into how you crafted it. How would you apply this decision-making experience to larger scale decisions at an organizational level?

BUS 660 Topic 2 DQ 1, DQ 2