Fill in the blanks.
1. The symbol that is used for the linear correlation coefficient is _________.
2. A value of r close to ±1 indicates that there is a _________ linear relationship between the variables.
3. A value of r close to _________ indicates that there is either no linear relationship between the variables or a weak one.
4. A value of r close to _________ indicates that the regression equation is extremely useful for making predictions.
5. A value of r close to 0 indicates that the regression equation is either useless or _________ for making predictions.
6. If y tends to increase linearly as x increases, the variables are _________linearly correlated.
7. If y tends to decrease linearly as x increases, the variables are _________ linearly correlated.
8. If there is no linear relationship between x and y, the variables are linearly _________.