1. The variable being predicted in a regression analysis is called the:
   1. independent variable.
   2. dependent variable
   3. regression variable.
   4. contingency variable.

1. When the points in a scatter plot cluster closely around the regression line, the correlation can be said to be:
   1. weak.
   2. strong.
   3. neutral.
   4. negative.

1. The increase or decrease in Yexpected with each unit change in Xis known as:
   1. The Y-intercept, a
   2. The error term, e
   3. The regression coefficient or slope, b
   4. Proportionate reduction in error, PRE

1. If the intercept (symbolized as either \f