1	A value of r close to +1 or -1 indicates that there is a ______ linear relationship between the variables.		_____	r
2	The symbol that is used for the linear correlation coefficient is ______.		_____	strong
3	Regarding what is used to decide on the line that best fits a set of data points, what is that item called?		_____	positively
4	A value of r close to ______ indicates that there is either no linear relationship between the variables or a weak one.		_____	not very useful
5	A value of r close to _____ indicates that the regression equation is extremely useful for making predictions.		_____	negatively
6	A value of r close to 0 indicates that the regression equation is either useless or _____ for making predictions.		_____	zero
7	In the context of regression, an _____ is a data point that lies far from the regression line, relative to the other data points.		_____	least squares criterion
8	If y tends to decrease linearly as x increases, the variables are _____ linearly correlated.		_____	outlier
9	If there is no linear relationship between x and y, the variables are linearly ______.		_____	+ or - 1
10	If y tends to increase linearly as x increases, the variables are _____ linearly correlated.		_____	uncorrelated