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To answer questions in this exercise, it is not necessary to run a MCA. All that is needed is a good understanding of the principal properties of MCA. Each question is independent of the others.
We have questioned 8 people as to their socio-professional category (SPC) as well as that of their mother and father. We obtained the following data. We are going to think about doing MCA here.
Q1) We perform MCA on this table. What is the total inertia of the point cloud of individuals? 1 2 3 9
Q2) The 1st MCA axis is such that the projected inertia of the point cloud of the rows is equal to 0.833. What is the projected inertia of the point cloud of categories on the 1st axis? 0.833 * 9 / 3 = 2.5 0.833 on ne sait pas
Q3) In the category space, which category is closest to the origin? (give the category's label) Fwhite-collar Flaborer Fprofessional Mwhite-collar Mlaborer Mprofessional
Q4) In the category space, which category has the highest inertia? Fwhite-collar Flaborer Fprofessional white-collar Mlaborer Mprofessional
Q5) Here are the coordinate values of the individuals in the first 3 dimensions (rounded to 2 decimal places) By applying the barycentric property, deduce the coordinates of the FWhite-collar category in the 1st dimension (Question 2 may be useful to help answer this). -0.4 -0.54 -0.833 0.833 2
Score = Correct answers: