A research study has been conducted to determine the average loss of efficiency in a popular transistor chip, as a function of its age in years. The following data has been collected: Age (in years) 5 10 15 20 25 Efficiency (%) 98 82 71 59 46 In this problem, you have to learn a linear regression model that can predict efficiency, given the age (in years) as the input feature. Use the least squares estimation method, and pick the correct option among the following: a) The bias term w0 in the optimal least squares estimate is -54.65 b) The predicted lifespan for this chip (i.e., when the efficiency reaches 0) is 86.0 years c) The transistor chip will reach 75% of its original efficiency in 27 years d) The predicted lifespan for this chip (1.e., when the efficiency reaches 0) is 43.0 years