For each case and each component, the component score is computed by multiplying the case's original variable values by the component's score coefficients. The resulting three component score variables are representative of, and can be used in place of, the ten original variables with only a 12% loss of information. Using the saved components is also preferable to using Price in thousands, Length, and Vehicle type because the components are representative of all ten original variables, and the components are not linearly correlated with each other. Although the linear correlation between the components is guaranteed to be 0, you should look at plots of the component scores to check for outliers and nonlinear associations between the components.