In this problem, you are going to work with some real-world data. File mfunds_data.xlsx contains historical returns of three mutual funds from Morningstar Direct. For your convenience, I included data on the Fama-French research factors in the same file. a. [3pts] Estimate the Fama-French 3-factor model for the funds. Just to remind you, the Fama-French 3 factor model can be written as rirf=i,FF3+i,mkt(rmktrf)+i,smbrsmb+i,hmlrhml+i Note: don't forget to use excess returns (not returns) on the left-hand side of your regression! Report the Fama-French 3-factor alphas, their t-stats, and all the Fama-French 3 factor betas (i,mkt,i,smb,i,hml). b. [1pt] Are the estimated Fama-French 3 factor alphas statistically significantly different from zero? c. [6pts] What do the estimated betas (i,mkt,i,smb,i,hml) tell you about funds loadings on the SMB and HML factors? Is this consistent with the fund's styles as described in