Correlation Coefficient

What best describes the correlation?

• positive correlation

• negative correlation

• no correlation

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

CCSS.HSS.ID.C.9

Would you say that this scatter plot represents a strong or weak correlation?

• strong

• weak

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

What correlation coefficient best matches this graph?

• r = 0.06

• r = .5

• r = .95

• r = .7

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

Which value is the closest to the correlation coefficient for the data?

• – 0.93

• – 0.07

• 0.07

• 0.93

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

a. a² + b² = c²

• Leg

• Hypotenuse

• Pythagorean theorem

• Line

A straight path connecting two points and extending on forever in opposite directions.

• term

• hypotenuse

• leg

• line

A scatter plot is shown. A student added the line, thinking it was the line of best fit for the data. Which correlation coefficient most accurately describes the data’s fit to a linear model?

• - 0.9

• - 0.5

• 0.5

• 0.9

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

Which value is the closest to the correlation coefficient for the data?

• -0.07

• -0.73

• 0.07

• .73

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

Which statement suggests causation?

• When you are at the pool, you get wet.

• When you practice driving, your friend practices too.

• When you carry an umbrella to school, it rains.

• When you don’t brush your teeth, you get cavities.

Tags

CCSS.HSS.ID.C.9

Which best represents a causation relationship?

• the number of tennis shoes sold and the amount of footballs purchased.

• a person’s age and their name.

• the low temperature at a football game and the number of hot drinks sold

• the number of people attending a ballgame and the length of the ballgame

Tags

CCSS.HSS.ID.C.9