Forecasting Using Causal Regression Model

Data in the Excel File shows the demand for one type of chip used in industrial equipment from a small manufacturer.

  1. Construct a combo chart of the data. What appears to happen when a new chip is introduced?
  2. Develop a causal regression model to forecast demand that includes both time and the introduction of a new chip as explanatory variables.
  3. What would the forecast be for the next month if a new chip is introduced? What would it be if a new chip is not introduced?

Instructions:

Write your answer in a Microsoft Excel document. Include the data set.

Criteria:

1. Chart of the data,

2. What appears to happen when a new chip is introduced? Conclusion from the chart,

3. Causal regression model

Calculation tables and model,

4. Forecast be for the next month if a new chip is introduced,

5. Forecast be for the next month if a new chip is not introduced