Financial analysts at a bank are required to take a course about derivative securities when they start their employment. Some analysts take a standard 14week course, while the other analysts take an intensive 2week course. You use a data set that contains the following variables Name Description 3; analyst's mark for the course assessment :31 = 1 if the 2week course was taken and equal to 0 otherwise x2 = 1 if the analyst has a business degree and equal to 0 otherwise 333 number of nance courses studied at university level 334 number of mathematics courses studied at university level 335 age of the analyst The following regression model was estimated from data for 250 students: '13 = 45.1 6.15331 + 1.231132 + 0.24.1."3 + 1.68%; 0.151135 (2.13) (2.47) (3.01) (1.56) (0.80) (0.10) The numbers inside brackets are the standard errors of the estimated regression parameters. The value of R2 is equal to 0.346. a) State the full ideal conditions for a linear regression model. Why do we need these assumptions? b) What do you learn from the tted regression? c) Which additional regression specications could you recommend estimating? Please list three and explain why