I need help solving this problem in R programming in detail!

A regression through the origin model may be used when specific knowledge about the problem at hand suggests that the response variable is zero if and only if the predictor variable is zero. For such problems, the model can be written as Y = BX, + ;i=1;...;n where ti's are iid N(0,02) random noise. (a) Derive the least-squares estimate of B. (b) Run the following R code: set.seed (123) x