Correlation coefficient is the statistic that measures the strength and direction of a linear association between two quantitative variables.

• True

• False

Tags

CCSS.HSF-LE.A.1B

Correlation coefficient is represented by "R".

• True

• False

Tags

CCSS.HSF-LE.A.1B

What is the range of values that r can be between?

• Only negative values

• Only positive values

• Between -1 and 1

If r=0, there is a strong correlation.

• True

• False

Tags

CCSS.HSF-LE.A.1B

If r is positive, then there is...

• Negative association

• No correlation

• Positive association

Tags

CCSS.HSF-LE.A.1B

If r is negative, then there is...

• Negative association

• No correlation

• Positive association

Tags

CCSS.HSF-LE.A.1B

If r=0 , then there is...

• Negative association

• No correlation

• Positive association

Tags

CCSS.HSF-LE.A.1B

Scale of x and y matters.

• True

• False

Tags

CCSS.HSA.CED.A.2

CCSS.HSA.REI.D.10

CCSS.HSF.IF.B.4

CCSS.HSF.IF.C.7

r is only useful for ...

• Quadratic functions

• Linear functions

Tags

CCSS.HSA.CED.A.1

CCSS.HSA.REI.B.4

CCSS.HSA.REI.C.7

Which of the following statements is true?

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

• A correlation of 1 indicates a strong relationship between the variables.

• Correlations of +0.87 and -0.87 indicate the same degree of clustering around the regression line.

• A correlation of 0 shows little or no association between two variables.

Tags

CCSS.HSF.LE.B.5