Question: b . Develop a causal regression model to forecast demand that includes both time and the introduction of a new chip as explanatory variables. c

b. Develop a causal regression model to forecast demand that includes both time and the introduction of a new chip as explanatory variables.
c. 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?The accompanying data shows the demand for one type of chip used in industrial equipment from a small manufacturer.
a. Construct a chart of the data. What appears to happen when a new chip is introduced?
b. Develop a causal regression model to forecast demand that includes both time and the introduction of a new chip as explanatory variables.
c. 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?
Click here to view the demand data.
Click here to view chart d.
Click here to view chart c.
Click here to view chart a.
Click here to view chart b.
What appears to happen when a new chip is introduced? Select the correct choice below.
A. There is no discernible pattern between new chips being introduced and demand.
B. As new chips are introduced, the demand spikes.
C. As new chips are introduced, the demand increases slightly then levels off.
D. As new chips are introduced, the demand decreases.
b. Develop a causal regression model to forecast demand that includes both time and the introduction of a new chip as explanatory variables.
Demand =+, month +, New Chip Introduced
(Type integers or decimals rounded to three decimal places as needed.)
 b. Develop a causal regression model to forecast demand that includes

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