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).
True-color image of layers of haze in Titan's atmosphere.
Adapoids and omomyoids had longer snouts and are the first “true” primates.
Early in the twentieth century, when malnutrition was common, companies such as this one advertised
Example of an Explanation of Benefits statement.
Example of Reconciling a Bank Statement Cont.
Six-Step Process for Goal-Oriented Planning