Correlation Coefficient from Table of Values

If the correlation coefficient of a table of data is 0.85, what is true about the line of best fit?

• There is a weak, positive relationship

• There is a strong, positive relationship

• There is a weak, negative relationship

• There is a strong, negative relationship

Determine the correlation coefficient of the given data:

• .9820

• -.9643

• -1.409

• .164

Determine the Correlation Coefficient and decide whether it is weak, moderate, or strong.

• 0.07 weak

• -0.26 weak

• -0.26 moderate

• 0.07 strong

Which statement identifies the correlation coefficient between the two variables and the correct interpretation of the correlation coefficient as a measure of the strength of the linear association?

• r = 0.9591; The correlation coefficient indicates a weak, positive, linear correlation.

• r = 0.9199; The correlation coefficient indicates a strong, negative, linear correlation.

• r = 0.9591; The correlation coefficient indicates a strong, positive, linear correlation.

• r = 0.9199; The correlation coefficient indicates a weak, negative, linear correlation.

To convince his students to slow down, Coach Logan tracks the typing speed and the number of errors made from a few of his students. Calculate the correlation coefficient, r, of the data set. Round to THREE decimal places.

Mathematical Equivalence

ON

Determine the correlation coefficient for the data in the table. Round to the nearest hundredth.

Mathematical Equivalence

ON

Determine the correlation coefficient of the given data.

• - .5477

• .1770

• .8956

• - .9463

Correlation coefficients are:

• A point that does not fit the overall pattern.

• A histogram.

• A numerical measure of the direction and strength of a linear association.

• A graphical display.

As shown in the table, a person's target heart rate during exercise changes as the person gets older. Find the correlation coefficient (r).

• -0.999

• -0.664

• 0.998

• 1.503

• There is a perfect positive relationship.

• There is a perfect negative relationship.

• There is no linear relationship.

• The variables are inversely proportional.