can you answer these questions for me please?

Consider the Diagram below and suppose that the production function may be characterised by the equation C1=1C02 for 0C01 ( 0 elsewhere) and the borrowing/lending rate is r=10%. a. Find the coordinates of point B on the graph, and the equation of the line connecting points W1 and W0. b. If Indifference curves are of the form C0C1= Const find the coordinates of point C. c. If initial endowment is located at point A, and y0=0.8, how much does this individual need to invest and/or borrow/lend in order to achieve point C ? W1 and W0. b. If Indifference curves are of the form C0C1= Const find the coordinates of point C. c. If initial endowment is located at point A, and y0=0.8, how much does this individual need to invest and/or borrow/lend in order to achieve point C ? 2. Run the following code to generate and graph simulated CAPM data In [ ]: M using Statistics, StatsBase, Plots, GLM, Dataframes, CSV In [ ]: M Rmarket =.1,+ randn (100).2 \# Generate Market Returns with mean 0.1 . Rmystock =.04.+1.5( Rmarket. -.04)+ randn (100).25# Generate CAPM WI: scatter(Rmarket, Rmystock, legend=: topleft) In [ ]: M simdata=DataFrame (Rmarket=Rmarket, Rmystock=Rmystock); Using the simulated data, estimmate and interpret the Beta and line of best fit. If you wish, you may do this assignment in another programming language, but you must generate the data in a similar way to the above 3. Download the Fama French data (FF_stock_data.zip) and load the data into Julia using the template in the Notebook (asst2_ff_q.ipynb) provided. In a manner similar to class (also demonstrated in the Notebook), fit and interpret the Fama French 3-factor model on Rtn as a function of the other factors for 2 Equities of your choice (there are about 80 to choose from). If you wish to complete this using another package, the data is easily loadable as a .csv file