Using data from the NLSY97, and estimate the following two regression equations: BAi = 0 + 1incomei + i (1) BAi = 0 + 1incomei + 2cognitivei + i (2) where BAi equals 1 if person i has completed a BA or an MA and equals 0 otherwise (that is, it equals 0 for those with an associate degree, high school degree or high school dropouts). incomei is standardized income and cognitiveiis standardized cognitive skills. These two variables have a mean equal to 0 and a standard deviation equal to 1. a) [5 points] Interpret the estimated value of 1 in Model 1. b) [5 points] Is the estimated value of 1 the same in Models 1 and 2? Why or why not? Explain.

Please can you explain the interpretation? Thank you