A1H Correlation and Causation Homework

Which situation best shows causation?

• The length of a rectangle affects the width of the rectangle.

• The amount of time a cell phone is used affects the charge of its battery.

• The number of ice-cream bars sold affects the number of milkshakes sold.

• The number of soccerballs a team owns affects the number of games the team wins during the soccer season.

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CCSS.HSS.ID.C.9

The table below shows the number of calories burned per hour by a person running at different speeds. Using a line of best fit, what does the slope represent?

• The speed when you burn 0 calories

• The speed per calorie burned

• How many calories are burned by not running

• How many calories are burned per mph

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CCSS.HSF.LE.B.5

Which of these correlations represent causation?

• As the number of high schools increases, the number of enrolled students goes up.

• As the number of weddings increases, the number of marriage licenses increases.

• As the number of gym memberships increases, the number of people who lose weight increases.

• As the number of visitors to theme parks increases, the number of hamburgers sold at theme park concession stands increases.

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CCSS.HSS.ID.C.9

Which of these scenarios does not imply causation?

• the more the rooster crows, the more often it rains

• the more miles driven, the more gasoline needed

• the faster the pace of the runner, the more quickly the runner finishes

• the higher the hourly wage, the greater the income for 40 hours of work

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CCSS.HSS.ID.C.9

What type of correlation exists between the amount of time a candle is burned and the height of the candle.

• Positive

• Negative

• None

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CCSS.HSS.ID.C.9

Which one of these examples is NOT an example of CAUSATION?

• Kryptonite causes Superman to lose all his powers.

• Temperatures of less than 32˚F cause water to freeze.

• Umbrellas cause rainstorms.

• Stepping on the gas pedal causes a car to move faster.

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CCSS.HSS.ID.C.9

Correlation or Causation: the speed you drive and the amount of fuel you use?

• Correlation

• Causation

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CCSS.HSS.ID.C.9

• strong positive

• strong negative

• weak positive

• weak negative

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CCSS.HSS.ID.B.5

• strong positive

• strong negative

• weak positive

• weak negative

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CCSS.HSS.ID.B.5

Estimate the correlation coefficient for this scatterplot.

• A) r = 1.2

• B) r = 0.89

• C)r = 0

• D) r = -0.89

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CCSS.HSS.ID.C.8