I'm stuck on how to solve this.Do you just assume B0 is 52.5 and B1 is 19.3 and so on? I keep reading other sources but I really don't understand this..

Also of interest is whether there are any differences in the waiting time distributions by self - reported race of the survey participants. Participants classified themselves into 1 of 3 racial categories: while, black, other (did not identify as either black or white). Following are the results from a simple regression performed to relate waiting time to race: vollot ard black y = 51.5 + 19.3x1 + 2.6x2 :H ) 0= x 101 egole end forit llun srid enitest nol suisv-q arti titw where x1= 1 if the respondent identifies as black (and 0 if not), and x2=1 if the participant identifies as other (0 if not). The standard error of the slope for x1is 1.2, and for x2 is 2.5. The R2 is 0.01. Suppose the x's were recoded as x1 = 1 for White (and 0 if not), and x2 =1 for Black (and 0 if not), and the following regression model was fit to the data with the recoded x values: = Bo + Bix1 + B2x2 . What would be the value of the intercept (8 ) for this model? . 51.5 minutes x. = ) for white 0 it n 70.8 minutes X 2 = 1 for black, ", 54.1 minutes 3 19 : 51. 54 19. 3 ( 1 ) +18. 610) + 19 : 3 (1) = 70.8