Chapter 3 Stats Review - Two-Variable Data

Front

What is correlation?

Back

Correlation is a statistical measure that describes the extent to which two variables change together. It can be positive, negative, or zero.

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CCSS.HSS.ID.C.9

Front

What is positive correlation?

Back

Positive correlation occurs when an increase in one variable leads to an increase in another variable.

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CCSS.HSS.ID.C.9

Front

What is negative correlation?

Back

Negative correlation occurs when an increase in one variable leads to a decrease in another variable.

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CCSS.HSS.ID.B.5

Front

What does 'no correlation' mean?

Back

No correlation means that there is no relationship between the changes in two variables.

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CCSS.HSS.ID.B.5

Front

What is causation?

Back

Causation indicates that one event is the result of the occurrence of another event.

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CCSS.RI.4.3

CCSS.RI.5.3

CCSS.RI.6.3

CCSS.RI.7.3

CCSS.RI.8.3

Front

Give an example of causation.

Back

If it starts raining, the baseball game is delayed. The rain caused the delay.

Front

What is the slope in a least squares line equation?

Back

The slope represents the rate of change of the response variable for each unit change in the explanatory variable.

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CCSS.8.EE.B.5

Front

Interpret the slope: For each additional 1 hour worked, income increases by $31.45.

Back

This means that for every extra hour a person works, their income is expected to increase by $31.45.

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CCSS.8.EE.B.5

Front

What is a residual plot?

Back

A residual plot is a graph that shows the residuals on the vertical axis and the independent variable on the horizontal axis.

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CCSS.HSS.ID.B.6B

Front

What should a good residual plot look like?

Back

A good residual plot should show a random scatter of points, indicating that the model is appropriate.

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CCSS.HSS.ID.B.6B