Upload the CSV file painting$\_$prices.csv into R$.$ Subtract the mean of WIDTH from each element of WIDTH. Call this variable WIDTH$\_$DEMEAN. So far, assuming you have worked on this problem set in numerical order, you should have run $4$ OLS regressions: a$)$ PRICE on WIDTH, b$)$ PRICE on WIDTH suppressing the intercept, c$)$ PRICE on WIDTH$\_$DEMEAN, and d$)$ PRICE on WIDTH$\_$DEMEAN suppressing the intercept. According to the OLS regression standard error, which OLS regression is the best fit?

a$.$ None of these

b$.$b$)$

c$.$ d$)$

d$.$ c$)$

e$.$ a$)$