Unit 2.5 LT3

What is the definition of correlation coefficient?

• The correlation coefficient measures the strength and direction of a linear relationship between two variables.

• The correlation coefficient measures the strength and direction of a non-linear relationship between two variables.

• The correlation coefficient measures the difference between two variables.

• The correlation coefficient measures the average of two variables.

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How is a positive correlation coefficient interpreted?

• There is no relationship between the two variables.

• As one variable increases, the other variable decreases.

• As one variable increases, the other variable also increases.

• The correlation coefficient is always negative.

How is a negative correlation coefficient interpreted?

• It indicates a perfect positive relationship between the variables

• As one variable increases, the other variable also increases

• A negative correlation means there is no relationship between the variables

• As one variable increases, the other variable decreases

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What does a correlation coefficient of 0 indicate?

• No linear relationship

• Perfect positive linear relationship

• Non-linear relationship

• Perfect negative linear relationship

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In a scatter plot, what does it mean if the points are close to forming a straight line with a positive slope?

• Negative correlation

• Horizontal correlation

• Positive correlation

• No correlation

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CCSS.HSS.ID.B.5

In a scatter plot, what does it mean if the points are close to forming a straight line with a negative slope?

• Positive correlation

• No correlation

• Negative correlation

• Horizontal correlation

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What is the range of values for a correlation coefficient?

• Between 0 and 1

• Between -1 and 1

• Between -10 and 10

• Between 1 and 2

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What does it mean if the correlation coefficient is close to 1?

• Strong positive linear relationship

• Weak positive linear relationship

• Strong negative linear relationship

• No relationship between the variables

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What does it mean if the correlation coefficient is close to -1?

• Strong negative linear relationship

• Weak positive linear relationship

• No relationship between the variables

• Strong positive linear relationship

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How is the strength of the correlation coefficient determined?

• By the color of the data points

• By the number of variables in the data set

• By its value

• By the font size of the correlation coefficient

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