Q1) In principal component analysis, the variables are
qualitative and quantitative
qualitatives
quantitatives

Q2) In principal component analysis,
we try to summarize the similarities between individuals
two individuals are close if they have similar values for at least one variable
two individuals are close if they have similar values for all variables

Q3) In principal component analysis,
we look at linear relationships between variables
we look at linear and quadratic relationships between variables
we compare the means of different variables

Q4) Which of the following indicators reveals relationships between quantitative variables?
the correlation coefficient
the mean
the variance
the standard deviation

Q5) If we do a principal component analysis of a table with I individuals and K columns,
each individual has K values and can be considered a point in a K-dimensional space
the set of individuals forms a cloud of I points in a K-dimensional space
the set of individuals forms a cloud of I points in an I-dimensional space
the set of individuals forms a cloud of K points in a K-dimensional space
the set of columns, i.e., the set of variables, can be seen as a cloud of K points in an I-dimensional space
the set of columns, i.e., the set of variables, can be seen as a cloud of K points in a K-dimensional space
the set of columns, i.e., the set of variables, can be seen as a cloud of I points in a K-dimensional space

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