Chapter 14 Review

A value of r close to _______ indicates that there is either no linear relationship between the variables or a weak one.

• -1

• 0

• 1

• -0.9

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

If two variables have a negative linear correlation, then that means as x increases, y _______

• Increases

• Decreases

• Stays the same

• Cannot be determined

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

CCSS.HSS.ID.C.8

CCSS.HSS.ID.C.9

If there is a very strong positive correlation between two variables, a causal relationship exists between the two variables.

• True

• False

Tags

CCSS.HSS.ID.C.9

If a line has a positive slope, y-values on the line decrease as x-values decrease.

• True

• False

Tags

CCSS.HSA.REI.D.10

For which of the following sets of data can you reasonably determine a regression equation?

• 
• 
• 
• 

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

CCSS.HSS.ID.C.8

Which of the following scatter plots could represent a data set with a correlation coefficient of $r=0.85$ ?

• 
• 
• 
• 

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

Which of the following scatter plots could represent a data set with a correlation coefficient of $r=-1$ ?

• 
• 
• 
• 

Tags

CCSS.HSS.ID.C.8

CCSS.HSS.ID.C.9

Which of the following statements about the correlation coefficient is true?

• The correlation coefficient and the slope of the regression line have opposite signs

• A correlation coefficient of 1 indicates a perfect causal relationship between the variables

• Correlations of 0.87 and -0.87 indicate the same strength of correlation between the variables

• A correlation of 0 means the shape of the scatter plot is quadratic

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

• 17.1

• 18.1

• 19.1

• 20.1

Tags

CCSS.HSS.ID.C.7

• -0.755

• -0.325

• 0.325

• 0.755

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8