Describe the Correlation

Describe the type of linear correlation between the two variables

• Strong positive

• Weak positive

• Strong Negative

• No correlation

Which sentence describes the relationship shown on this scatter plot?

• As the temperature decreases, the visitors increase.

• As the temperature increases, the number of visitors increases.

• As the visitors increase, the temperature decreases.

• No correlation

Describe the type of linear correlation between the two variables

• Strong positive

• Weak negative

• Strong Negative

• No correlation

Choose the correlation coefficient that best matches the graph.

• -1

• 0

• 0.5

• 1

The correlation coefficient of the regression line is 0.986. What does that mean?

• There is a very strong, positive correlation between the variables.

• There is a very strong, negative correlation between the variables.

• There is a weak, negative correlation between the variables.

• As fork length increases, so does total length.

Choose two words from those listed below to best describe the correlation between the two variables.

• strong

• weak

• positive

• negative

Given that the scatter diagram has a product moment correlation coefficient of 0.9, what can you conclude?

• There is a weak negative linear correlation between x and y

• There is a strong negative linear correlation between x and y

• There is a strong positive linear correlation between x and y

• There is a weak positive linear correlation between x and y

Determine the correlation coefficient of the given data.

• - .5477

• .1770

• .8956

• - .9463

The correlation coefficient of this graph is closest to:

• 0.97

• 0.75

• -0.98

• 0.48

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