When utilizing the classification tree algorithm, the data is

split into regions of relatively high homogeneity.

split into regions of relatively low homogeneity.

transformed into numerical variables prior to processing.

randomly divided into classes.

not processed until a new predictor record requires classification.

Multiple linear regression utilizes _________blank to predict the value of _________blank.

multiple predictor variables, multiple outcome variables

a single predictor variable, multiple outcome variables

multiple outcome variables, a single predictor variable

multiple predictor variables, a single outcome variable

a single predictor variable, a single outcome variable

The classification tree algorithm is useful when

historical records are not available.

prediction of a categorical outcome variable is necessary.

a new category is observed.

prediction of a numerical outcome variable is necessary.

a category is discontinued.