Reference no: EM132643312

1.) Which correlation coefficient represents a strong, positive linear relationship?

a) r = 0.47b) r = -0.47

c) r = 0

d) r = 0.86

e) r = -0.86

2.) Teondra conducted a study on how rattlesnake activity is affected by the number of alligators around the snakes' habitat. She determined that the relationship had a strong, positive association. She concluded that more alligators around caused the rattlesnake activity to increase. Is her conclusion valid? Explain.

a) Teondra's conclusion is not valid because association does not imply causation.

b) Teondra's conclusion is valid because association does imply causation.

c) Teondra's conclusion is not valid because causation does not imply association.

d) Teondra's conclusion is valid because causation does imply association.

3.) The regression equation for change in temperature, y, to amount of humidity in percent, h, is given by y = 9.1 + 0.6h. On Sunday, the observed amount of humidity was 23 percent and the temperature change was 20.7 degrees. Find and interpret the residual.

a) -2.2. The regression line overpredicts the temperature change.

b) 2.2. The regression line underpredicts the temperature change.

c) 43.6. The regression line overpredicts the temperature change.

d) -43.6. The regression line underpredicts the temperature change.

e) 19.3. The regression line underpredicts the temperature change.

4.) What is b when sy = 324, sx = 245, and r = 0.87?

a) b = 0.658

b) b = 0.004

c) b = 1.151

d) b = 1.322

e) b = 0.756