Answer to Question 1
True
Answer to Question 2
Discriminant analysis is a multivariate technique that predicts a categorical dependent variable (rather than a continuous, interval-scaled variable, as in multiple regression) based on a linear combination of independent variables. In each problem above, the researcher determines which variables explain why an observation falls into one of two or more groups. A linear combination of independent variables that explains group memberships is known as a discriminant function. Discriminant analysis is a statistical tool for determining such linear combinations. The researcher's task is to derive the coefficients of the discriminant function (a straight line).
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