this time I quite don't undertand how the profesor avoid using matrix algebra to solve this exercise.
Statement:
Below you can see a scatter plot of the data with the three regression lines corresponding to the three levels of the categorical predictor. Using the same two dummy variables you dened in (a), write down the tted regression model (read slope estimates o the graph). You do not have to make a statement about the residuals. Note, that the general regression model with interaction for this case is
Graph:
Questions:
** 1) What is the procedure the proffesor utilized?
2) How one can use quadratic form and eigenvalues to compuete the betas wich I belibe will be my eigeinvalues for each eigenvector. I hope I could explain my problem, thanks so much for your help.**