Let's analyze how many computations are required to fit a multiple linear regression model using the closed-form solution based on a data set with 50 observations and 10 features. we said that computing the inverse of the 10x10 matrix (H^T)H was on the order of D^3 operations. Let's focus on forming this matrix prior to inversion. How many multiplications are required to form the matrix (H^T)H?