QUESTION 1

1. The value for the slope (b) indicates

	1.	Whether there is a positive, negative, or no correlation between the two variables
	2.	The amount of scatter between points on the scatterplot
	3.	The correlations between the two variables
	4.	The absolute value of the correlation coefficient

QUESTION 2

1. The regression equation is determined by minimizing

	1.	The total error between the predicted Y values and the actual Y values
	2.	The total squared error between the predicted Y values and the actual Y values
	3.	The total squared error between the X and Y values
	4.	The total error between the X and Y values

QUESTION 3

1. The smaller the correlation coefficient

	1.	The better the prediction accuracy and the smaller the errors of estimate
	2.	The worse the prediction accuracy and the greater the errors of estimate
	3.	The better the prediction accuracy and the greater the errors of estimate
	4.	The worse the prediction accuracy and the smaller the errors of estimate

QUESTION 4

1. When the regression line is horizontal, the correlation is

	A.	1
	B.	Indeterminate
	C.	0
	D.	Positive

QUESTION 5

1. If there is a positive relationship between two variables the regression equation Y = bX + a will have

	1.	a > 0
	2.	a < 0
	3.	b < 0
	4.	b > 0