Question

1) a. A negative value for b indicates that high values on the predictor are associated with  (low/high) values on the outcome variable.

b. True or False: The value of b indicates the amount of change in the outcome variable for every 1 unit change in the predictor variable

2) Assuming all else is equal, a variable (A) with a correlation to Y of r = -0.51 will produce more accurate predictions of Y than a variable (B) with a correlation to Y of r = +0.33.

	a.	True. Strength of the relationship (how accurately you can predict one variable from the other) is measured by the absolute value of r (how far away r is from zero). Negative and positive signs refer only to the direction of the relationship, not its strength.
	b.	There's no way to tell which is stronger.
	c.	False. B is a more accurate predictor of Y because it's positive.

Answer 1

1) a. A negative value for b indicates that high values on the predictor are associated with low values on the outcome variable.

b.  The value of b indicates the amount of change in the outcome variable for every 1 unit change in the predictor variable (True)

2) Assuming all else is equal, a variable (A) with a correlation to Y of r = -0.51 will produce more accurate predictions of Y than a variable (B) with a correlation to Y of r = +0.33

ans-> a. True. Strength of the relationship (how accurately you can predict one variable from the other) is measured by the absolute value of r (how far away r is from zero). Negative and positive signs refer only to the direction of the relationship, not its strength.