Question: 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

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.)

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?

If a new chip is introduced, the forecast for month 25 would be ____

If a new chip is not introduced, the forecast for month 25 would be______

Month New Chip Introduced Demand
1 0 3894
2 0 3489
3 0 6083
4 1 10645
5 0 7697
6 0 7711
7 0 5427
8 0 8734
9 1 13048
10 0 7271
11 0 8614
12 0 7164
13 0 7401
14 0 9689
15 1 14506
16 0 8509
17 0 12159
18 0 14696
19 1 18965
20 0 14214
21 0 14841
22 0 15304
23 0 16472
24 0 16974

Thank you!

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