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The learning curve, also known as the experience curve, is crucial to competitive strategy since it frequently determines a firm's long-term success or failure.

The formula of learning rate is average between unit 1 and unit 2 submission of average learning between unit 2 and unit 4 addition to an average of learning between unit 4 and unit 8 submission to average learning between unit 8 and unit 16 divided by four multiplied by 100.

Learning rate = (10/12 + 6.5/10 + 3.6/6.5 + 2.7/3.6)/4 x 100 = 69.5

= 70%.

Therefore, the learning rate based on experience will be 70%.

The cumulative factor for 100 units will be the cumulative factor for 120 units subtracted by the cumulative factor for 20 units at a 70% learning rate.

Cumulative factor for 100 units = 19.57 – 7.407

= 12.163

(Measure the cumulative efficiency factor in the table).

The cost for 100 units bid should be equal to unit 1 cost multiplied by thecumulative factor for 100 units.

= 12 x12.163

= $145.956 million

Therefore, the cost for 100 units will be $158.12 million, assuming that learning continues.

The expected cost for the last unit under learning rate will be a cumulative factor for 120 units multiplied by unit 1 cost.

Expected cost under learning rate = 19.57 x 12

= $234.84 million

Therefore, thecost expected for the last unit under the learning rate will be $234.84 million.